An Investigation of Environmental Motivation Factors Affecting Fans of Minor League Baseball

Although they are important to the sports spectator experience, there have been few studies of crowd control, concession services, parking, and the like. These environmental motivation factors as they affect fans of specified sports were the focus of this study, which took as its premise that fans of a given sport differ from fans of other given sports in terms of their motivation to follow the progress of a team. The neo-Marxist critique of spectator sports in capitalist society holds that sports spectators are more likely than nonspectators to be actively involved both in sports and in other cultural activities, including politics. Furthermore, many spectator sports actually tend to increase hostility and aggression in fans, rather than rendering fans apathetic or providing them the lucid equivalent of an Aristotelian catharsis (Guttmann, 1981). From ancient times to the present, individuals who have demonstrated allegiance or devotion to a particular sport, a particular team, and/or a particular player have been classified as sports fans.

According to previous studies (Hansen & Gauthier, 1989; Zhang, Pease, Hui, & Michaud, 1995), there are four major factors that affect spectators’ decisions about attending games. The attractiveness of the home team is a first and vital consideration. Individual players’ skill, league standing, breaking of prior records, team record, performance, and star players together affect fans’ attendance at games (Zhang et al.,1997). In Greenstein and Marcum’s study (1981) of Major League Baseball from 1946 to 1975, hypothesized reasons for attendance at games were teams’ win-loss records, pitching staff, and home-run batters. The study results showed that 25% of the variance in attendance was due to team performance. Jones (1984) found a number of significant factors related to hockey game attendance: a winning home team relative to the league, a qualified visiting team relative to the league, a game’s role in progress to season play-offs, superstar players, and preference as to team style (i.e., fighting vs. skating).

The attractiveness of the visiting team (its quality, the presence of star players, the strength of its rivalry with the home team, etc.) is a second major factor in fans’ decision making about game attendance (Zhang et al., 1997), and a third is economic variables including ticket pricing, promotions, and advertising (Hansen & Gauthier, 1989; Zhang et al., 1995). Promotions and income have been found to relate positively to game attendance, while ticket price, televising of games, available entertainment alternatives, and available sport-event alternatives have generally been found to relate negatively to game attendance (Baade & Tiehen, 1990; Bird, 1982; Siegfried & Eisenberg, 1980; Zhang et al., 1995). The fourth significant factor in fans’ decisions to attend games is audience preference, meaning, for example, game schedules, convenience, stadium quality, weather, and team history in a community. Weekend games and end-of-season games increase attendance, while afternoon games decrease attendance; showing no effect on attendance are double headers and home dates (Drever & MacDonald, 1981; Hansen & Gauthier, 1989; Hay & Thueson, 1986; Hill, Madura, & Zuber, 1982; Siegfried & Eisenberg, 1980). In addition, team attractiveness variables and audience preference variables have generally been found to relate positively to game attendance (Baade & Tiehen, 1990; Becker & Suls, 1983; Bird, 1982; Demmert, 1973; Godbey & Robinson, 1979; Hansen & Gauthier, 1989; Jones, 1984; Wall & Myers, 1989; Whitney, 1988; Zech, 1981).

Employing psychological and sociological theories concerning sports fans, Wakefield and Sloan (1995) sought to identify specific stadium factors affecting attendance. Their study argued that spectators who enjoyed spending time at a stadium should be relatively likely to want to spend additional time there, while conversely, spectators who had had an unpleasant experience at a stadium should be relatively unlikely to want to spend additional time there (and risk repetition of the unpleasant experience). Stadium qualities that have been considered environmental motivation factors include parking, cleanliness, comfort (or convenience), food service, and fan behavior, as outlined below.

Where stadium parking spaces are ample, spectators’ enjoyment of the stadium experience may be enhanced. Low-tolerance and task-oriented individuals may experience frustration if locating a parking space and/or walking in to the stadium require excessive amounts of time (Bitner, 1992; Snodgrass, Russell, & Ward, 1988). Spectators dissatisfied with parking conditions are relatively likely to leave a game early and express less satisfaction with their stadium experience.

The cleanliness of a stadium is primarily a function of stadium service quality. For instance, as a game progresses, restrooms and concession areas can fill with trash and spilled food and drink. Spectators confronting such refuse may feel unwilling to use the facilities and may become dissatisfied (Wakefield & Sloan, 1995).

Physical comfort in a stadium is, as Melnick (1993) found, another important factor. The width of aisles and hallways, the arrangement of seats, and the amount of room afforded for concessions and restroom facilities (which may also be thought of as the convenience of stadium facilities) should be sufficient to accommodate social interaction and facilitate enjoyment of the game. A spectator who feels uncomfortable because other spectators are too close or who feels hampered in exiting the stands and accessing restrooms or concessions may leave a game early and hesitate to attend further games (Wakefield & Sloan, 1995).

From a food service perspective, spectators are virtually held captive in the stadium for the three or more hours before and during a game (Wakefield & Sloan, 1995). By offering a variety of appetizing foods, a stadium facility enhances the spectator’s sports encounter.

Finally, fan behavior that is offensive to or abusive of fellow fans may, Bernstein noted (1991), prompt some spectators to leave a game early, especially when such behavior continues throughout a game. Both players’ behavior and the intensity of the two opponents’ rivalry affect fan behavior, as does alcohol consumption.  When stadium managers and personnel carefully monitor fan behavior, moving quickly to end unpleasant situations (in other words, when they practice crowd control), many negative experiences on the part of their patrons can be prevented (Wakefield & Sloan, 1995).

In addition, while each of the five preceding stadium factors would be expected to influence all spectators, those spectators who are most loyal to the home team should be relatively likely to stay throughout a game and to return to the stadium in future, due to their loyalty to the team. In other words, spectators who are loyal to the home team are likely to want to spend time at the stadium, and to return, primarily due to a desire to see the team play (Wakefield & Sloan, 1995).

]Methodology[

The purpose of this study was to examine environmental motivation factors and fan loyalty affecting Alabama residents whose communities had no Major League Baseball team, but did have a Class AA Minor League Baseball (MiLB) team. Specifically, the study sought to ascertain the types of environmental factors (parking, crowd control, stadium cleanliness, convenient facilities, and food and beverage service) affecting fans who are attending professional baseball games. Fan loyalty to specific baseball teams was also analyzed.

To obtain fan responses reflecting realistic evaluations of the related stadium and environmental factors, Wakefield and Sloan’s (1995) adapted Stadium Factors Measurement questionnaire was modified and used with an on-site distribution and collection strategy during each July 2001 home game of the Mobile (Alabama) BayBears. The BayBears are a Class AA MiLB team in the Southern League and play in Hank Aaron Stadium. The questionnaire was distributed in all 14 seating sections of the stadium. The researchers employed a stratified random sampling method with no discriminating factors except age.  Any qustionnaire collected by the researchers that had been completed by an individual under 18 years of age was excluded. Age discrimination was made subjectively in the effort to exclude children whose visit to the baseball stadium was believed to have been influenced by their parents. To promote fans’ participation in the survey, the BayBears organization provided to participants complimentary tickets to any upcoming regular season game in 2001.

To obtain reliability estimates and to establish the construct validity of the instrument, a pilot study was conducted before the data were collected from the final target population. Administration of the existing instrument also served as a field test further establishing its content and face validity. After the questionnaire items had been formulated, the survey was administered to 46 United States Sports Academy graduate students who had survey experience. Their remarks were sought concerning the appropriateness of the questionnaire, relevance of its content, clarity of its questions, ease of completion, and time required for completion. Based on the 46 students’ responses, a few minor changes were made to the instrument. In its final form, the instrument contained 20 items on four pages; average time to complete the survey was 3–4 min.

The 20 separate items comprising the survey covered both sociodemographic characteristics and environmental motivation factors. Participants’ sociodemographic information included demographics as well as behavioral variables. Demographic variables were gender, ethnicity, age, marital status, education level, employment status, income, and residence. Behavioral variables were game attendance rate, type of ticket purchased, reasons for following favorite teams’ progress, and preferred means of following favorite teams’ progress (e.g., at ball park, by television broadcast, by radio broadcast, etc.).

The modified Stadium Factors Measurement questionnaire was used with a 7-point Likert response scale ranging from 1 (strongly disagree) to 7 (strongly agree). The scale was developed and employed in order to indicate respondents’ characteristics related to environmental motivation factors and team loyalty.

]Results[

The data were collected from a stratified random sample of respondents (N = 282) at the Hank Aaron Stadium in Mobile, Alabama. The sample consisted of 155 males (n = 155, 55%) and 127 females (n = 112, 45%) (Table 1). To simplify the data analysis, the variable age was first recoded in seven categories: 18–20 years, 21–30 years, 31–40 years, 41–50 years, 51–60 years, 61–70 years, and 71 or more years. Respondents ranged in age from 18 to 74 years (M = 37.97, SD = 13.07), with 89% falling between age 21 and age 60. Those fans age 18–20 constituted 6% of the sample, while fans 61 years old or older constituted 5.3% of the sample.

The majority of respondents were Caucasian (n = 251, 89.0%), followed by African-American (n = 27, 9.6%), Hispanic (n = 2, 0.7%), Asian (n =1, 0.4%), and other (n = 1, 0.4%). The majority of respondents were married (n = 180, 63.8%). Some 30% (n = 82) had completed college, and approximately 29% (n = 81) had some college education (respondents who had earned a graduate degree or completed some graduate study comprised 17.3% of the sample, n = 49). About 71% (n = 201) of the respondents were employed; 10% were full-time homemakers. Most of the respondents (n = 236, 83.7%) were residents of Alabama, although 46 individuals (16.3%) were nonresidents. More than half the respondents had yearly incomes between $20,000 and $59,999, while another 13.5% earned between $60,000 and $79,999 annually; those earning more than $80,000 comprised about 13% of the sample. The remaining 20% (approximately) had incomes below $20,000 (Table 1).

Concerning game attendance rates, during the previous season, approximately 57.0% of the study respondents (n = 159) had attended BayBears games (including home and away games) less than 3 times per month. In addition, 18.1% of the sample (n = 51) were attending their first BayBears game. The third largest group of respondents reported attending games  3 to 5 times per month during the previous season. Most of the survey participants were attending the game using a single-game ticket (n = 183, 64.9%); 33 respondents had used a group ticket to attend the game (n = 33, 11.7%). The remaining 23% of respondents fell in 5 categories: full-season ticket (4.6%), half-season ticket (2.5%), package ticket (5.7%), guest of season ticket holder (6.4%), and other, for instance a complimentary ticket (4.3%).

More than 25.0% of the respondents (n = 78) said that they followed a favorite baseball team because they had grown up in the host city or state; another 26.0% said they followed a particular team because of its geographic location. Having family members who liked the team was a reason cited by 11.0% of the sample for following a particular team. The presence of a favorite player on the team was the reason given by 11.7% of the sample for following a given team. The majority of respondents (n = 222, 78.7%) reported following a favorite baseball team by watching television; other means employed to follow teams were going to ball parks (n = 24, 8.5%), magazine and/or newspaper coverage (n = 16, 5.7%), Internet coverage (n = 9, 3.2%), radio coverage (n = 3, 1.1%), and other, such as information gained from friends or family members (n = 8, 2.8%) (Table 2).

Analysis of the data on environmental motivation factors in respondents’ attendance at the baseball stadium (Table 3) showed that the most important such factor was cleanliness (M = 5.47, SD = 1.33). Next in importance was convenient facilities (M = 5.40, SD = 1.36), followed by parking (M = 5.33, SD = 1.52), and “fan control” (M = 5.27, SD = 1.36). In terms of team loyalty, the respondents demonstrated positive opinions about a favorite MiLB baseball team even when stadium-related environmental factors were unsatisfactory (M = 5.00, SD = 1.36).

In addition, a group of t tests was employed to look for significant differences in environmental motivation factors affecting Alabama residents and nonresidents (Table 4). Those survey participants who were Alabama residents had significantly higher “loyalty factor” scores (M = 5.15, SD = 1.45) than did nonresident participants (M = 4.26, SD = 1.98), at the .01 level. No other significant difference between residents and nonresidents was observed for the remaining environmental motivation factors considered in the study.

Multiple regression analysis was employed to examine the relationship of loyalty to environmental motivation factors (Table 5). The multiple regression analysis showed three environmental motivation factors to be significantly predictive of the loyalty variable: parking (at the .01 level), convenient facilities (at the .01 level), and food and beverage services (at the .05 level).  The regression model explained 38.9% of variance.

The results of correlation analyses indicated correlations among the environmental motivation factors (Table 6). Significant positive relationships were found among all environmental motivation items, as follows:

1. correlation between parking and stadium cleanliness, r  =  .697 (p < .01)

2. correlation between parking and convenient facilities, r = .567 (p < .01)

3. correlation between parking and food and beverage services,  =  .489 (p < .01)

4. correlation between parking and fan control, r = .598 (p < .01)

5. correlation between parking and team loyalty, r = .499 (p < .01)

6. correlation between stadium cleanliness and convenient facilities, r = .721 (p < .01)

7. correlation between stadium cleanliness and food and beverage services, r = .532 (p < .01)

8. correlation between stadium cleanliness and fan control, r = .673 (p < .01)

9. correlation between stadium cleanliness and team loyalty, r = .459 (p < .01)

10. correlation between convenient facilities and food and beverage services, r = .604 (p < .01)

11. correlation between convenient facilities and fan control, r = .745 (p < .01)

12. correlation between convenient facilities and team loyalty, r = .572 (p < .01)

Furthermore, significant positive relationships were found between food and beverage services and fan control ( =  .710, p < .01), between food and beverage services and team loyalty (= .482, p < .01), and between fan control and team loyalty (r = .531, p < .01). All correlations were significant at the .01 level.

Finally, one-way multivariate analyses of variance (MANOVA) were performed to compare the mean vector scores for the six environmental motivation items with respect to the behavioral variables. The structural coefficients were used to define a function based on an eigenvalue equal to .30, while the standardized coefficients were used to test redundancy of environmental motivation items (Pease & Zhang, 2001). The results of MANOVA showed significant effects on environmental motivation items both for attendance rate, Multivariate F(30, 1086) = .807, p = .001, and for ticket type, Multivariate F(36, 1188) = .811, p =.013. On the other hand, remaining MANOVA results indicated no significant effect for reason for following favorite teams, Multivariate F(42, 1265) = .868, p = .619, and no significant effect for preferred means of following favorite teams, Multivariate F(30, 1086) = .879, p = .224.

Specifically, respondents’ mean vector scores differed significantly,  at the .01 level, based on attendance rate for the preceding baseball season. The loyalty item was the main contributing factor: Respondents who had attended every home game of the preceding season had a higher mean. In addition, their mean vector scores differed significantly, at the .05 level, based on type of ticket used for game attendance. Two factors, parking and loyalty, were the main contributing factors. Respondents using single-game tickets had higher mean scores for parking and stadium cleanliness than did respondents using other kinds of tickets. Respondents using package tickets scored higher than other respondents on items pertaining to convenient facilities and fan control. Respondents who were guests of season ticket holders scored higher than other respondents on items pertaining to food and beverage services and team loyalty. Mean vector scores did not differ significantly, however, in terms of respondents’ reasons for following or preferred means of following a favorite team (Table 7).

Discussion and Recommendations

Mahony, Madrigal, and Howard (2000) have argued that a variety of marketing strategies should be applied with different types of sports consumers they refer to as “high loyal fans,” “spurious loyal fans,” “latent loyal fans,” and “low loyal fans.” Varied strategies are necessary in light of the different consumers’ differing motivations and/or reasons for attending professional sports events and making commitments to professional sports teams. The present study focused on sociodemographics and environmental motivation factors, knowledge of which may affect professional baseball franchises’ marketing strategies and frameworks. While the present study focused on residents of a state that hosts no major-league professional teams, its results may inform the development of efficient business concepts for minor-league professional teams.

The study respondents’ views on environmental motivation items suggest a number of ways to maintain fan satisfaction, perhaps thereby increasing attendance. The three most important concern stadium cleanliness, parking, and convenient facilities; relative satisfaction with these factors affects the likelihood that a spectator will return to the stadium in the future. Wakefield and Sloan’s similar results (1995) led them to advise MiLB administrators to emphasize efforts to ensure that parking, cleanliness, convenience, food and beverage services, and crowd control satisfy the baseball fans who attend games. The present study found, in particular, a correlation between team loyalty and the other environmental motivation factors, and loyalty of course plays one of the biggest roles in determining fans’ willingness to attend games. For this reason, administrators of MiLB teams should use a well-prepared stadium environment to appeal to each of Mahony, Madrigal, and Howard’s types of sports consumer.

Recommendations for future studies are, first, an extension of the scaled motivation items to include psychological and sociological motivation, adding for example promotional events, frequency of media exposure, family effects, and gambling factors. Second, the findings of this study suggest a link to be explored between baseball fans’ motivation to attend games and judgments about satisfaction with game attendance.

 

Table 1 Sociodemographic Characteristics, Frequency and Percentage


Sociodemographic Characteristic
Frequency
Percentage

Age, in Years (N = 282)
18–20
17
6.0
21–30
19
28.0
31–40
84
29.8
41–50
47
16.7
51–60
40
14.2
61–70
11
3.9
71 or over
4
1.4
Gender (N = 282)
Male
155
55.0
Female
127
45.0
 

Ethnicity (N = 282)

 

Caucasian 251 89.0
African-American 27 9.6
Asian 1 .4
Hispanic 2 .7
Other 1 .4
 

Marital Status (N = 282)

 

Never married 65 23.0
Married 180 63.8
Divorced 26 9.2
Separated 2 .7
Widowed 5 1.8
Other 4 1.4
 

Education Level (N = 282)

Lower than high school 9 3.2
Graduated from high school 61 21.6
Some college 81 28.7
Completed college 82 29.1
Some graduate study 19 6.7
Earned graduate degree 30 10.6
 

Employment Status (N = 282)

 

Employed 201 71.3
Unemployed 9 3.2
Retired 23 8.2
Full-time homemaker 28 9.9
Student 17 6.0
Other 4 1.4
 

Residential Status (N = 282)

 

Alabama resident 236 83.7
Not a resident of Alabama 46 16.3
 

Annual Income Level (N = 266)

 

Below $20,000 55 20.7
$20,000–$39,999 65 24.4
$40,000–$59,999 76 28.6
$60,000–$79,999 36 13.5
$80,000–$99,999 16 6.0
Above $100,000 18 6.8

Table 2 Fan Behavior, Frequency and Percentage


Behavior Variable
Frequency Percentage

 

Game Attendance Rate

First time attending a game 51 18.1
Less than 3 times per month during preceding season 159 56.4
3–5 times per month during preceding season 44 15.6
6–10 times per month during preceding season 11 3.9
Every home game during preceding season 14 5.0
Every BayBears game during preceding season 3 1.1
 

Ticket Type

 

Full-season ticket 13 4.6
Half-season ticket 7 2.5
Package ticket 16 5.7
Single-game ticket 183 64.9
Group ticket 33 11.7
Guest of season ticket holder 18 6.4
Other 12 4.3
 

Reasons for Following Favorite Teams’ Progress

Because I grew up in that state and/or city 78 27.7
Because I frequently visited the team’s ballpark with my parents 23 8.2
Because of the team’s location near my current hometown 74 26.2
Because my family (spouse, parents, children) likes the team 31 11.0
Because I remember the team treated me well as a customer 2 .7
Because the team has my favorite players 33 11.7
Because I have a membership of the team 1 .4
Other reasons 40 14.2
 

Preferred Means of Following Favorite Teams’ Progress

At ball park
By television broadcast
By radio broadcast By Internet
Magazine and/or newspaper coverage
Other

Table 3 Relative Importance of Environmental Motivation Variables


Variable Mean Standard Deviation

I like to come back to the Hank Aaron Stadium to watch BayBears games because convenient parking spaces are easily available. 5.33 1.52
I like to come back to the Hank Aaron Stadium to watch BayBears games because I like the cleanliness of the stadium. 5.47 1.33
I like to come back to the Hank Aaron Stadium to watch BayBears games because there are enough and convenient facilities, including hallways, space and arrangements of seats, concessions, restrooms, etc. 5.40 1.36
I like to come back to the Hank Aaron Stadium to watch BayBears games because the food and beverage services are very good. 4.91 1.42
I like to come back to the Hank Aaron Stadium to watch BayBears games because of good stadium fan control. 5.27 1.36
Even if the above question items (E1 through E5) are not satisfied, I like to come back to the Hank Aaron Stadium to watch BayBears games because I am loyal to the BayBears. 5.00 1.58

Table 4 Importance of Environmental Motivation Factors by Alabama Residence vs. Nonresidence


Variable Alabama Resident Mean Number of Respondents Standard Deviation t p

Parking Yes
No
5.39
5.02
236
46
1.51
1.51
1.54 .125
Cleanliness Yes
No
5.50
5.32
236
46
1.32
1.38
0.81 .420
Convenient facilities Yes
No
5.44
5.19
236
46
1.33
1.48
1.14 .256
Food / beverage services Yes
No
4.93
4.80
236
46
1.37
1.66
0.51 .616
Fan control Yes
No
5.27
5.23
236
46
1.35
1.44
0.18 .855
Team loyalty Yes
No
5.15
4.26
236
46
1.45
1.98
2.90** .005

Note: Yes = residents of Alabama, No = nonresidents of Alabama
** Indicates significance at the .01 level

Table 5 Multiple Regression Analysis Examining Relationship of Team Loyalty to Environmental Motivation


Variable
B
SE B
B
t
p

Constant .730 .348 2.097* .037
Parking .261 .071 .250 3.662** .000
Cleanliness -.124 .098 -.104 -1.255 .210
Convenient facilities .453 .092 .388 4.900** .000
Food .178 .074 .160 2.424* .016
Fan control .045 .100 .039 .447 .655

R = .623; R2 = .389; F = 35.099** Dependent variable: team loyalty
* Indicates significance at the .05 level
** Indicates significance at the .01 level
Dependent variable: team loyalty

Table 6 Correlations Among Environmental Motivation Items


  Parking Cleanliness Convenient Facilities Food/Beverage Services Fan Control Team Loyalty

Parking 1.00
Cleanliness .697** 1.00
Facility .567** .721** 1.00
Food .489** .532** .604** 1.00
Fan control .598** .673** .745** .710** 1.00
Loyalty .499** .459** .572** .482** .531** 1.00

Spearman rho, ** Indicates significance at the .01 level

Table 7 Multivariate Analysis of Variance for Environmental Motivation Items with Respect to Behavioral Variables


Behavior Variable
Parking
Clean
 

Facility

 

Food

Fan Control
Loyalty

Attendance Rate in Preceding Season:
Wilks’s (30, 1086) = .807,
p = .001
 Mean

(Standard Deviation)

 Mean(Standard Deviation)  Mean(Standard Deviation)  Mean(Standard Deviation)  Mean(Standard Deviation)  Mean(Standard Deviation)
Never 5.06
(1.27)
5.20
(1.23)
5.21
(1.37)
5.02
(1.33)
5.16
(1.35)
4.47
(1.56)
Less than 3 times per month
5.42
(1.45)
5.49
(1.34)
5.36
(1.33)
4.92
(1.34)
5.21
(1.32)
4.90
(1.51)
3–5 times per month
5.32
(1.76)
5.61
(1.35)
5.59
(1.35)
4.82
(1.50)
5.41
(1.33)
5.36
(1.49)
6–10 times per month
5.27
(1.79)
5.82
(1.17)
5.63
(1.29)
4.27
(2.37)
5.18
(1.89)
6.09
(1.64)
Every home game
5.50
(2.17)
5.86
(1.61)
6.00
(1.66)
5.21
(1.72)
5.86
(1.66)
6.28
(1.73)
Every BayBears game
5.33
(1.53)
4.67
(1.53)
4.67
(1.15)
5.00
(1.00)
6.00
(1.00)
4.67
(1.15)
Ticket Type:
Wilks’s (36, 1188) = .811,
p = .013
Full-season ticket
5.00
(1.73)
5.31
(1.70)
5.23
(1.64)
4.85
(1.07)
5.08
(1.66)
5.46
(1.76)
Half-season ticket
5.43
(1.13)
5.43
(1.40)
5.14
(.90)
4.71
(.76)
5.00
(.00)
4.86
(1.86)
Package ticket
5.44
(1.96)
5.87
(1.45)
5.56
(1.71)
4.62
(2.06)
5.62
(1.78)
5.44
(1.90)
Single-game ticket
5.55
(1.38)
5.60
(1.21)
5.51
(1.25)
4.98
(1.42)
5.41
(1.28)
5.11
(1.53)
Group ticket
4.64
(1.76)
5.00
(1.66)
4.85
(1.72)
4.57
(1.58)
4.57
(1.52)
4.18
(1.45)
Guest of season ticket holder
4.94
(1.70)
5.00
(1.53)
5.55
(1.46)
5.17
(1.29)
5.17
(1.54)
5.61
(1.19)
Other
4.75
(1.42)
5.17
(.83)
5.17
(.94)
5.08
(.67)
5.08
(.79)
3.83
(1.58)
Reasons for Following Favorite Teams’ Progress:
Wilks’s (42, 1265) = .868,
p = .619
Because I grew up in that state and/or city

 

5.49
(1.37)
5.46
(1.24)
5.37
(1.33)
4.99
(1.49)
5.32
(1.39)
5.00
(1.59)
Because I frequently visited the team’s ballpark with my parents
6.09
(1.00)
5.78
(.90)
5.22
(1.28)
4.91
(1.00)
5.30
(1.02)
5.17
(1.37)
Because of the team’s location near my current hometown
5.16
(1.53)
5.43
(1.43)
5.32
(1.28)
4.67
(1.43)
5.08
(1.33)
4.85
(1.35)
Because my family (spouse, parents, children) likes the team
5.32
(1.64)
5.52
(1.52)
5.68
(1.42)
5.00
(1.37)
5.45
(1.50)
5.32
(1.74)
Because I remember the team treated me well as a customer
6.00
(1.41)
6.00
(1.41)
6.00
(1.41)
5.50
(2.12)

6.00
(1.41)

6.00
(1.41)
Because the team has my favorite players
5.21
(1.93)
5.45
(1.56)
5.51
(1.62)
4.79
(1.71)
5.27
(1.58)
5.30
(1.69)
Because I have a membership of the team
7.00
(.00)
6.00
(.00)
6.00
(.00)
6.00
(.00)
7.00
(.00)
6.00
(.00)
Other reasons 4.97
(1.46)
5.32
(1.23)
5.37
(1.41)
5.20
(1.28)
5.30
(1.32)
4.65
(1.87)
Preferred Means of Following Favorite Teams’ Progress:

Wilks’s (30, 1086) = .879,
p = .224
At ball park 5.33
(1.61)
5.67
(1.20)
5.50
(1.32)
4.71
(1.71)
5.21
(1.47)
5.17
(1.43)
By television broadcast 5.35
(1.55)
5.47
(1.32)
5.41
(1.34)
4.92
(1.40)
5.30
(1.34)
5.06
(1.55)
By radio broadcast 4.67
(.58)
4.33
(1.15)
4.33
(2.08)
4.33
(.58)
4.00
(2.64)
5.33
(1.53)
By Internet 5.78
(.97)
6.11
(.78)
6.00
(.71)
5.67
(1.00)
5.67
(1.12)
4.44
(2.01)
Magazine and/or newspaper coverage 5.44
(1.09)
5.44
(1.59)
5.31
(1.54)
5.06
(1.48)
5.25
(1.18)
5.25
(1.69)
Other 4.50
(2.00)
4.62
(1.77)
4.75
(1.83)
4.37
(1.68)
4.75
(1.98)
3.00
(1.31)

 

]References[

Baade, R. A., & Tiehen, L. J. (1990). An analysis of major league baseball attendance, 1969–1987. Journal of Sport and Social Issues, 14(1), 14–31.

Becker, M. A., & Suls, J. (1983). Take me out to the ball game: The effect of objective, social, and temporal performance information on attendance at major league baseball games. Journal of Sport Psychology, 5(3), 302–313.

Bernstein, S. (1991). The sorry state of “sports heroes”: Antisocial behavior of well-paid sports figures. Advertising Age, 62(15), 25.

Bird, P. J. (1982). The demand for league football. Applied Economics, 14(6), 637–649.

Bitner, M. J. (1992). Servicescapes: The impact of physical surroundings on customers and employees. Journal of Marketing, 56(2), 57–71.

Demmert, H. G. (1973). The economics of professional team sport. Lexington, MA: Heath.

Drever, P., & MacDonald, J. (1981). Attendance at South Australian football games. International Review of Sport Sociology, 16(2), 103.

Godbey, G., & Robinson, J. (1979). The American sports fan: “Spectatoritis” revisited. Review of Sport and Leisure, 4(1), 1–11.

Greenstein, T. N., & Marcum, J. P. (1981). Factors affecting attendance of major league baseball: Team performance. Review of Sport and Leisure, 6(2), 21.

Guttmann, A. (1981). Sports spectators from antiquity to the Renaissance. Journal of Sport History, 8(2), 5–27.

Hansen, H., & Gauthier, R. (1989). Factors affecting attendance at professional sport events. Journal of Sport Management, 3(1), 15–32.

Hay, R. D., & Thueson, N. C. (1986, October). High school attendance and related factors. Paper presented at the conference of the Canadian Congress on Leisure Research, Edmonton, Alberta, Canada.

Hill, J. R., Madura, J., & Zuber, R. A. (1982). The short run demand for major league baseball. Atlantic Economic Journal, 10(2), 31.

Jones, J. C. H. (1984). Winners, losers and hosers: Demand and survival in the National Hockey League. Atlantic Economic Journal, 12(3), 54.

Mahony, D. F., Madrigal, R., & Howard, D. (2000). Using the Psychological Commitment to Team (PCT) Scale to segment sport consumers based on loyalty. Sport Marketing Quarterly, 9(1), 15–25.

Melnick, M. J. (1993). Searching for sociability in the stands: A theory of sports spectating. Journal of Sport Management, 7(1), 44–60.

Pease, D. G., & Zhang, J. J. (2001). Socio-motivational factors affecting spectator attendance at professional basketball games. International Journal of Sport Management, 2(1), 31–59.

Siegfried, J. J., & Eisenberg, J. D. (1980). The demand for minor league baseball. Atlantic Economic Journal, 8(1), 59–71.

Snodgrass, J., Russell, J. A., & Ward, L. M. (1988). Planning, mood and place-liking. Journal of Environmental Psychology, 8(3), 209–222.

Wakefield, K. L., & Sloan, H. J. (1995). The effects of team loyalty and selected stadium factors on spectator attendance. Journal of Sport Management, 9(2), 153–172.

Wall, G. V., & Myers, K. (1989). Factors influencing attendance: Toronto Blue Jays games. Sport Place International: An International Magazine of Sports, 3(1 & 2), 29–33.

Whitney, J. D. (1988). Winning games versus winning championships: The economics of fan interest and team performance. Economic Inquiry, 26(4), 703–724.

Zech, C. F. (1981). An empirical estimation of a production function: The case of major league baseball. American Economist, 25(2), 19–23.

Zhang, J. J., Pease, D. G., Hui, S. C., & Michaud, T. J. (1995). Variables affecting the spectator decision to attend NBA games. Sport Marketing Quarterly, 4(4), 29–39.

Zhang, J. J., Pease, D. G., Smith, D. W., Lee, J. T., Lam, E. T., & Jambor, E. A. (1997, Summer). Factors affecting the decision making of spectators to attend Minor League Hockey games. International Sports Journal, 1(1), 39–53.

]Author Note[

Soonhwan Lee ; Cynthia Ryder, United States Sports Academy; Hee-Joon Shin

 

2013-11-26T20:51:54-06:00February 22nd, 2008|Contemporary Sports Issues, Sports Facilities, Sports Management|Comments Off on An Investigation of Environmental Motivation Factors Affecting Fans of Minor League Baseball

Parents’ Motivations for Enrolling Children in a Private Gymnastic Program

This study examined factors that motivated parents to involve their children in a gymnastic program. The gymnasts (N = 156) were predominantly female (n = 136, 87%) and ranged from 2 to 18 years of age (M = 7.5, SD = 3.2). Gymnasts were classified as recreational (n = 109, 70%) or competitive (n = 47, 30%). Multiple-choice items addressed the domains of skill mastery, ego competitiveness, fitness, team membership, fun and excitement, recognition, and affiliation. In rank order, the reasons that parents of competitive and recreational gymnasts supported a child’s participation in the gymnastic program were fitness (M = 4.38, SD = 1.10), skill development (M = 4.37, SD = 0.94), fun (M = 4.36, SD = 0.86), affiliation (M = 3.77, SD = 1.04), team membership (M = 3.36, SD = 1.11), recognition (M = 3.28, SD = 1.09), and competition (M = 2.64, SD = 1.13).  Parents of competitive gymnasts rated higher than other parents, statistically, the two factors competition (M = 3.53 vs. M = 3.28) and team membership (M=3.06 vs. M=2.46), p < .05.

Parents’ Motivations for Enrolling Children in a Private Gymnastic Program

The importance of physical activity for children is well documented. A physically active lifestyle is important because physical activity and fitness have been shown to be associated with lower blood pressure among adolescents (Boreham, Twisk, Savage, Cran, & Strain, 1997) and favorable cholesterol profiles (Schmidt, Stenzel, & Walkulski, 1997). For a majority of children, physical activity comes through participation in organized sport programs outside of school (Sallis, 1994). When youth are asked what motivates them to participate in organized sport programs, responses typically include skill development, affiliation, fitness, fun, competition, excitement or challenge, and release of energy (McCullagh, Matzkanin, Shaw, & Maldonado, 1993).

Parents have been shown to be powerful influences on their children’s physical activity patterns (Stucky-Ropp & DiLorenzo, 1993). The role of parents in their children’s physical activity occurs via direct and indirect support (Dempsey, Kimiecik, & Horn,1993). Direct support of children’s physical activity includes registering children for organized sport programs and paying the participation fees (Atsalakis & Sleap, 1996). Indirect support of chidren’s physical activity includes transportation of children to places where they can be active (Hoefer, McKenzie, Sallis, Marshall, & Conway, 2001). Parents who demonstrate a positive attitude toward registering children for sport programs and who perceive registration procedures to be easily accomplished are more apt to enroll their children for organized physical activities (Atsalakis & Sleap, 1996).

Dempsey and colleagues (1993) examined how parents’ beliefs about children’s physical activity influenced the activity patterns of their children. The researchers concluded it is possible that parents’ belief systems and support are the primary influences on their children’s physical activity, acknowledging that the factors most important to parents in deciding to support children’s physical activity are unknown. Accordingly, the purpose of the present study was to describe parental rationales for support of children’s participation in a private gymnastic program; the study is based on the work of McCullagh and colleagues (1993).

]Method[

The target population for the present study was parents of children participating in a private gymnastic club. Club records identified 432 registered participants who were either on competitive teams or were recreational gymnasts. The study employed a 58-item survey based on the work of McCullagh et al. (1993), who constructed the instrument using data from recreational soccer players. The questionnaire requested demographic information including age of parent, educational background of parent, and age and gender of child. It also asked about  the child’s current participation in the gymnastic program: level (competitive or recreational), length of participation, and number of days per week currently attending club programs. Parents also rated the importance of the factors that McCullagh and colleagues (1993) identified in describing parents’ rationales for support of children’s involvement in organized physical activity. To rate the factors’ importance, the parents used a 5-point Likert scale. Survey items are presented in Table 1.

During a two-week period all parents who entered the gymnastic facility to deliver or retrieve their children were approached and asked to complete the questionnaire. Children were asked to take a copy of the questionnaire to those parents who did not come into the facility during the two weeks of data collection. (Parents completing a questionnaire at the gym were asked not to complete a duplicate survey should a child bring one home.) Parents with more than one child enrolled in the gymnastic program were asked to complete one questionnaire per child. Descriptive statistics were utilized to report the parents’ responses to questionnaire items. Analysis of variance was used to identify differences between the responses of parents of recreational gymnasts and those of parents of competitive gymnasts.

]Results[

Of the 250 surveys that were distributed, 156 (62.4%) were retrieved. Of 156 parents completing surveys, 132 were female (85%) and 24 were male (15%). The respondents were generally middle-aged (M = 36, SD = 6.6 years) and well educated. The children about whom the surveyed parents reported ranged from 2 to 18 years of age (M = 7.5, SD = 3.2). There were 109 recreational (70%) and 47 competitive (28.8%) gymnasts.

Descriptive statistics addressing parents’ rationales for supporting children’s participation in the gymnastic club are presented in Table 1. The 10 top-ranked items were related to fun, skill, or exercise. All items pertaining to gymnastics’ competitive aspects were ranked in the bottom 10. Table 2 shows the descriptive statistics for individual items in each category and the rank order of reasons parents supported a child’s participation in the gymnastic program. The reasons were ranked identically by the parents of the competitive gymnasts and the parents of the recreational gymnasts. Parents of competitive gymnasts rated team membership as a statistically more important (p < .05) factor than did parents of recreational gymnasts, F = 4.1, p = .04, M = 3 .53, SD = 1.22 versus M = 3.28, SD = 1.08. Parents of competitive gymnasts also rated competition as a statistically more important (p < .05) factor than did parents of recreational gymnasts, F = 16.4, p = .001, M = 3.06, SD = 1.06 versus M = 2.46, SD = 1.18.

]Discussion and Conclusion[

Skill development, exercise, and fun were the three top-rated reasons reported by parents for supporting a child’s involvement in gymnastics. The gymnasts’ parents clearly were interested in providing support for sport activities that their children regarded as fun and that have potential to produce physical fitness and skill. Competition was consistently ranked as one of the least important factors, by parents of competitive and recreational gymnasts alike. These findings are consistent with studies that examined reasons youth participate in other team sport activities (McCullagh et al., 1993; Passer, 1982). Differences between scores for parents of competitive gymnasts and those for parents of recreational gymnasts were found in two instances only, that of the team construct and that of the competitive construct; because the two constructs relate directly to competition, the differences in the scores are not unexpected. Despite the differences, each parent group rated team membership and competition relatively low.

The study results are important to those who provide youth sport programs. As Passer (1982) noted, such information can be useful in efforts to structure an athletic environment that provides participants with a maximally rewarding experience. Fitness, skill development, and fun are what parents expect a child to gain from participation in organized sport programs. Coaches can use this information to attract and keep participants.

Table 1 Means, Standard Deviations, and Rank of Motivational Factors Associated with Parents’ Support of Children’s Participation in Organized Gymnastics


Factor
Mean
Standard Deviation
Rank

To have a good time
4.75 0.68 1
To have fun
4.69 0.70 2
To get exercise
4.62 0.77 3
To improve skills
4.61 0.73 4
To learn new skills
4.60 0.73 5
To feel good when s/he does well
4.51 0.83 6
To do something s/he is good at
4.37 1.17 7
Help to be healthy
4.36 0.94 8
To be physically fit
4.32 0.98 9
To feel important
4.28 4.49 10
Motor development
4.28 0.96 10
To help learn discipline
4.24 0.95 12
To stay in shape
4.22 1.03 13
The coaches
4.15 1.02 14
The excitement
4.07 1.07 15
The team spirit
4.04 1.01 16
The challenge
3.98 1.00 17
The action
3.93 1.10 18
To meet new friends
3.84 1.04 19
To become better at sports
3.83 1.13 20
To get interested in sports
3.74 1.17 21
To be with friends
3.67 1.03 22
Physical therapy
3.62 1.33 23
To reduce risk for disease
3.61 1.17 24
Being on a team
3.27 1.19 26
To gain recognition
3.03 1.17 27
To help control weight
2.79 1.48 28
To compete
2.62 1.10 29
To compete against others
2.52 1.13 30
Awards
2.5 1.15 31
To test ability against others
2.48 1.15 32
To help work out anger
2.39 1.28 33
Medical advice
2.39 1.34 33
To earn college scholarship
2.28 1.32 35
To win against others
1.94 1.05 36
The uniforms
1.91 1.13 37

Table 2 Means, Standard Deviations, and Rank of Motivational-Factor Categories


Category Items
Mean
Standard Deviation
Rank

FitnessTo get exercise
To stay in shape
To be physically fit
Help to be healthy
4.38 0.94 1
Skill/masteryTo improve skills
To feel good when s/he does well
To learn new skills
To do something s/he is good at
Motor development
To become better at sports
4.37 0.89 2
Fun/excitementTo have a good time
To have fun
The action
The excitement
4.36 0.86 3
AffiliationTo be with friends
To meet new friends
3.77 1.04 4
TeamBeing on a team
The coaches
The team spirit
The uniforms
The equipment
3.36 1.11 5
RecognitionTo feel important
To gain recognition
Awards
3.28 1.09 6
MedicalPhysical therapy
To reduce disease risk
To help control weight
Medical advice
3.10 1.10 7
CompetitionTo compete
The challenge
To win against others
To earn college scholarship
To compete against others
To test ability against others
2.64 1.13 8

]References[

Boreham, C. A., Twisk, J., Savage, M. J., Cran, G. W., & Strain, J. J. (1997). Physical activity, sports participation, and risk factors in adolescents. Medicine and Science in Sports and Exercise, 29, 788–793.

Dempsey, J. M., Kimiecik, J. C., & Horn, T. S. (1993). Parental influence on children’s moderate to vigorous physical activity participation: An Expectancy-value approach. Pediatric Exercise Science, 5, 151–167.

Hoefer, W. R., McKenzie, T. L., Sallis, J. F., Marshall, S. J., & Conway, T. L. (2001). Parental provision of transportation for adolescent physical activity. American Journal of Preventive Medicine, 21, 48–51.

McCullagh, P., Matzkanin, K. T., Shaw, S. D., & Maldonado, M. (1993). Motivation for participation in physical activity: A comparison of parent-child perceived competencies and participation motives. Pediatric Exercise Science, 5, 224–233.

Passer, M. W. (1982). Children in sport: Participation motives and psychological stress. Quest, 33, 231–244.

Sallis, J. F. (1994). Determinants of physical activity behavior in children. In R. R. Pate & R. C. Hohn (Eds.), Health and Fitness Through Physical Education (pp.31–43). Champaign, IL: Human Kinetics.

Schmidt, G. J., Stensel, D. J., & Walkuski, J. J. (1997). Blood pressure, lipids, lipoproteins, body fat and physical activity of Singapore children. Journal of Pediatrics and Child Health, 33, 484–490.

Stucky-Ropp, R. C., & DiLorenzo, T. M. (1993). Determinants of exercise in children. Preventive Medicine, 22, 880–889.

Author Note

Jenny Wald, M.A.

 

2013-11-26T20:52:15-06:00February 22nd, 2008|Sports Facilities, Sports Studies and Sports Psychology|Comments Off on Parents’ Motivations for Enrolling Children in a Private Gymnastic Program

Plyometrics, or Jump Training for Dancers

Little information is found analyzing how dancers use their muscles to perform highly trained movements such as leaps and jumps. Instead, most studies focus on the treatment of injuries sustained by dancers (Trepman et al., 1998). Some injuries, according to Hobby and Hoffmaster (1986), involve “muscle imbalances” resulting from dance training that “places specific demands on . . . bodies” (p. 39). Incorrect training can, in other words, produce underdeveloped or overdeveloped muscle groups. A study by Simpson and Kanter (1997) indicated that injury to lower extremities is common among dancers pursuing various forms of dance, for instance modern dance, jazz dance, and ballet. It linked chronic dance injuries to improper landing when jumping.

Many of the skills required in dance are also used in sports like figure skating and gymnastics (McQueen, 1986). Certain sport training techniques, therefore, can be useful to dancers (McQueen, 1986). Fahey (2000) noted that, “Jumping exercises and plyometrics enhance performance in strength-speed sports because they increase leg power and train the nervous system to activate large muscle groups when you move” (p. 76). Hutchinson and colleagues’ study of elite gymnasts suggested that leap training utilizing a swimming pool as well as Pilates safely enhanced leaping ability (Hutchinson, Tremain, Christiansen, & Beitzel, 1998). In the study, after one month of training, gymnasts improved their explosive power by 220%, their ground reaction time by 50%, and the height of their leaps by 16.2%.

The objective of plyometrics is to generate the greatest amount of force in the shortest amount of time (Seabourne, 2000). Plyometrics trains the nervous system and metabolic pathways to increase explosiveness, giving the athlete an extra push to move higher and faster. Plyometrics requires acceleration through a complete range of motion, followed by relaxation into a full stretch. The quick stretch applied to the muscle by the athlete during initial push-off is thought to increase muscle contraction, in turn increasing power. The Cincinnati SportsMedicine and Orthopaedic Center has developed a plyometrics-based program called Sportsmetrics, which has been shown to increase jump height and decrease harmful landings (Hewett & Noyes, 1998). Hewett, Stroupe, and Riccobene (1999) analyzed the effects of 6 weeks of Sportsmetrics training in female athletes, finding that, after completing the program, the athletes’ peak landing forces decreased by 22%, lateral and medial forces at the knee dropped by 50%, and the height of jumps increased 10%. Furthermore,  hamstring-to-quadriceps strength ratio rose from 50% to 66%, creating “a more favorable condition for the ACL [anterior cruciate ligament]” (Boden, Griffin, & Garrett, 2000, p. 57). Plyometrics training has been shown to generate greater strength output with fewer injuries, and the present study’s purpose was to assess the effects of a 7-week plyometrics program on the vertical jumps and leaps executed by collegiate dancers.

]Method[

With approval of the appropriate human subjects review board, a sample of 12 female members of a Division I college dance team participated in a plyometrics training program. The specific program used was the Cincinnati SportsMedicine and Orthopaedic Center’s Sportsmetrics program, in which the dancers participated for 7 weeks. Vertical jumps were measured using a Vertec vertical height measuring device. Strength measurements were made using a CYBEX II isokinetic testing and rehabilitation system and HUMAC software for CYBEX by CSMI.

Initially, a meeting was convened during which the Sportsmetrics program was explained in detail to the 12 participants. They were told that the program would be used 3 times a week for 7 weeks. The program featured approximately 40 min of various jumping exercises. Every week, the amount of time devoted to each exercise increased. The participants kept records of how many repetitions of each they completed. After completing the session, the participants continued with a rehearsal lasting 1–2 hr. Every two weeks, the participants were taught a new program of increased difficulty. The plyometrics program carried the dancers into the beginning of their regular season workouts and game performances.

The 12 participants completed a pretest consisting of a 5-min warm-up and 5-min stretch. Height and weight of each participant were recorded. For each participant a standing reach measurement was also obtained, as the participant stood with feet hip-width apart, eyes forward, and reached vertically, the dominant hand on top of the other hand, using the Vertec vertical height measuring device. Using the Vertec vertical height measuring device, each participant executed a standing two-leg jump; the best of three efforts was recorded.

Using the same device, a two-step leap off of the right leg and a two-step leap off of the left leg were evaluated. Participants stood behind the Vertec and attempted a run, run, leap off of the right leg, with the left leg flexed at the knee and the right hand reaching up. The foot was plantar flexed and placed against the medial side of the knee in passe position. The same leap was executed off of the left leg, with the right leg flexed at the knee.

To obtain strength measurements, the participants were evaluated in a sports medicine laboratory. Each dancer was first of all familiarized with the CYBEX II equipment. Standard protocols for measuring thigh strength with the CYBEX II were used. All posttest measurements were taken after the participants had completed 7 weeks of training. Pre- and posttest data were analyzed using a paired t test, with alpha set at 0.05.

]Results and Discussion[

There were five freshmen, one sophomore, four juniors, and two seniors on the dance team from which the study participants were drawn. The participants’ biometric data were as follows: age in years, 19.7 + 1.5; height in meters, 1.65 + 0.06; and weight in kilograms, 57.4 + 6.38. In posttests after 7 weeks of plyometrics training, the right quadriceps peak torque at 180 deg/s (M = 57.9 ft lb) was significantly higher than that from the pretest (M = 54.3 ft lb), t (11) = -2.435, p < .05. Furthermore, although the difference was not statistically significant,  the change between pretest means for the left quadriceps peak torque at 180 deg/s (M = 54.2 ft lb) and posttest  means (M = 57.8 ft lb) did indicate improvement, t (11) =  -1.904, p > .05. Vertical jump measures taken after 7 weeks of plyometrics training indicated a significant difference, t (11) = -4.59, p < .05. Also noted was significant improvement in the two-step jump off the right foot, t (11) = -2.5, p < .05. No such improvement was noted for the two-step jump off  the left foot, t (11) = -1.05, p > .05.

Thus after 7 weeks of plyometrics training, there were increases in strength in the right leg at 180 deg/s. Strength in the left leg also showed improvement in peak torque performance at 180 deg/s, although not at the level of significance. Significant improvement was seen for the vertical jump and the two-step jump off the right foot.

Most dance teachers teach leaps off of both feet, off the left foot, and off the right foot. However, because many dancers jump off the left foot when executing leaps in classroom combinations at center or in performance, many if not most dancers may exhibit an imbalance in lower limb strength. The 7-week plyometrics program employed in this study may have diminished any imbalance of strength in these dancers.

Further investigation with other dancers is warranted on this topic. It may prove useful to test dancers in middle school, high school, and college. In addition, it may be beneficial not only to take isokinetic strength measures, but a measure of isometric strength as well. The possibility that dance training may develop lower-limb muscle imbalances in dancers should be investigated, as should the usefulness of plyometrics training for younger dancers to prevent any such imbalances.

]References[

Boden, B. P., Griffin, L. Y., & Garrett, W. E. (2000). Etiology and prevention of noncontact ACL injury. The Physician and Sportsmedicine, 28(4), 53–50.

Fahey, T. D. (2000). Super fitness for sports, conditioning, and health. Needham Heights, MA: Allyn and Bacon.

Hewett, T. E., & Noyes, F. (1998). Cincinnati Sportsmetrics: A jump training program proven to prevent knee injury [Motion picture]. United States: Cincinnati (Ohio) SportsMedicine Research and Education Foundation.

Hewett, T. E., Stroupe, A. L., & Nance, T. A. (1996). Plyometric training in female athletes: A prospective study. American Journal of Sports Medicine, 24(6), 765–773.

Hobby, K., & Hoffmaster, L. (1986). In D. Paterson, G. Lapenskie, & A. W. Taylor (eds.), The medical aspects of dance. London, Ontario, Canada: Sports Dynamics.

Hutchinson, M. R., Tremain, L., Christiansen, J., & Beitzel, J. (1998). Improving leaping ability in elite rhythmic gymnasts. Medicine and Science in Sports and Exercise, 30, 1543–1547.

Kraines, M. G., & Pryor, E. (2001). Jump into jazz: The basics and beyond for the jazz student (4th ed). Mountain View, CA: Mayfield.

McQueen, C. (1986). In D. Paterson, G. Lapenskie, & A. W. Taylor (eds.), The medical aspects of dance. London, Ontario, Canada: Sports Dynamics.

Seabourne, T. (2000). The power of plyometrics. American Fitness, 18, 64–66.

Simpson, K. J., & Kanter, L. (1997). Jump distance of dance landings influencing internal joint forces: I. axial forces. Medicine and Science in Sports and Exercise, 29, 916–927.

Trepman, E., Gellman, R. E., Micheli, L. J., & De Luca, C. J. (1998). Electromyographic analysis of grand plie in ballet and modern dancers. Medicine and Science in Sports and Exercise, 30(12), 1708–1720.

Author Note

Brenda G. Griner, Department of Health and Kinesiology and Department of Music, Theater, and Dance, Lamar University; Douglas Boatwright, Department of Health and Kinesiology, Lamar University; Dan Howell, Department of Health and Kinesiology, Lamar University, and Beaumont (Texas) Bone and Joint.

2017-08-07T11:50:44-05:00February 22nd, 2008|Sports Coaching, Sports Exercise Science|Comments Off on Plyometrics, or Jump Training for Dancers

Student-Athletes’ Perceptions About Abuse by NCAA Division II Tennis Coaches

Abstract

Male and female NCAA Division II tennis players (southern region) were surveyed about their encounters with coaches’ abusive behavior, to see whether perceptions differed significantly by gender. The researcher discusses whether athletic departments should develop policies and procedures to educate all persons affiliated with them about abusive behavior and whether they should furthermore prosecute coaches who sexually harass or emotionally abuse student-athletes.

The survey instrument was adapted from instruments used in three earlier studies. It was used by the players to rank 20 perceived abusive behaviors. The survey was developed from a review of literature, an expert panel, and a pilot study using Cronbach’s alpha coefficient to gauge validity and internal consistency reliability. The survey was administered on-site to 140 student-athletes participating in NCAA-II’s southern region tennis tournament. All 140 student-athletes returned a completed survey to the researcher. A total of 134 surveys had been completed correctly and were utilized in the study (a 95.7% response rate).

Statistical analysis includes descriptive statistics analyzing ranking of severity of behaviors, along with factor analysis identifying behaviors that led to abusive situations. Frequencies, percentages, means, mean rankings, and standard deviations were the descriptive statistics utilized; the method of factor extraction used was the principal component method, with varimax rotation. Factor analysis investigated areas within perceived abusive behaviors, seeking clusters demonstrating a good degree of correlation.

Student-Athletes’ Perceptions About Abuse by NCAA Division II Tennis Coaches

The question of sexual harassment in university settings has received very little attention over the years. This research study was designed to provide insight into sexual harassment and emotional abuse in American university athletic programs, through an examination of student-athletes’ perceptions of a number of ambiguous behaviors. The study furthermore sought an understanding of the meanings student-athletes assign to sexually harassing behaviors exhibited by their coaches and was meant to contribute to the literature on sexual harassment. In addition, the study sought student-athletes’ views on the atmosphere within university athletic programs.

American athletic departments belong to the community mainstream, but they have developed their own relationships to such an extent that they function independently of the educational community. This fact does not diminish an athletic department’s legal and moral obligation to provide all student-athletes with an environment free from sexual harassment, nor does it take from student-athletes or athletic department employees the right to use community resources to resolve sexual harassment issues.

Subjects and Instrument

Male and female student-athletes from 14 NCAA Division II (southern region) tennis programs were the randomly selected study participants, numbering 140 in all, each team having roughly 10 players. All tennis players were given the opportunity to participate or not participate in the study; participation was strictly voluntary. The athletes who participated in the study were playing in the regional tournament for their university.

On-site face-to-face surveys were used to collect data from participants. The survey instrument, based on three earlier instruments, was adapted specifically for the male and the female student-athletes. They were asked to express their perceptions about various coach behaviors, using a 5-point Likert scale. Responses ranged from 1 (extremely inappropriate) to 5 (extremely appropriate). Preparation of the instrument had included testing by a panel of experts, who reviewed the questions and established the validity of the instrument. The procedure for reliability testing included Cronbach’s alpha reliability coefficient, confirming the internal consistency and reliability of the scores reported for the pilot study respondents on survey items covering coaches’ perceived competency and harassing behavior. Reliability was interpreted as a correlation coefficient utilizing Cronbach’s scale.

Statistical Analysis

The research design pinpointing the student-athletes’ perceptions comprised (a) order of the ranking of perceived coaching behaviors, (b) results of factor analysis determining the severity of perceived behaviors, and (c) investigation of existing literature. Descriptive statistics (frequencies, percentages, means, mean rankings, standard deviations) were used in analyzing rankings of perceived coaching behaviors. The factor analysis employed was the principal component method, with varimax rotation; it investigated the integration of two or more independent variables on a single dependent variable. Areas within the coaching behavior selection were identified for inclusion within clusters demonstrating a high degree of correlation. Factor analysis furthermore identified underlying variables or factors explaining the pattern of correlations within a set of observed variables and was used in data reduction to identify a small number of factors explaining the variance observed in a larger number of manifest variables. Examination of the scree plots supported the extraction of four factors with an eigenvalue greater than 1.0. Cluster titles were assigned to each factor.

Results

Demographic information obtained from the respondents included gender (of player and head coach), race, age, academic classification, scholarship status, and position currently played on team. Demographic data was anticipated to affect perceptions concerning the severity of coaches’ behaviors, but this paper concerns itself with only one of the demographic variables, gender. Table 1 and Table 2 illustrate the total mean ranges, by gender, for the perceived coaching behaviors. Mean values were obtained for each of the 20 coaching behavior items. Among the male respondents, mean values ranged from an inappropriate high of 4.77 (for Item 20, “sexual favors could result in increased scholarship money or rank on the team”) to an appropriate low of 2.53 (for Item 6, “closed door meeting with a player”). Among female respondents, mean values ranged from an inappropriate high of 4.85 (for Item 20, “sexual favors could result in increased scholarship money or rank on the team”) to an appropriate low of 2.36 (for Item 13, “congratulatory hug after the completion of a match”).

Table 1

Male Respondents: Mean Range and Frequency for Survey Items

Mean Range Survey Item Number Frequency
> 4.500 9, 11, 17, 19, 20
5
4.000 – 4.499 16, 18
2
3.500 – 3.999 1, 2, 7, 12, 15
5
3.000 – 3.499 4, 5, 8, 10, 14
5
2.500 – 2.999 3, 6, 13
3
2.000 – 2.499 N/A
< 1.999 N/A
Total
20

Table 2

Female Respondents: Mean Range and Frequency for Survey Items

Mean Range Survey Item Number Frequency
> 4.500 9, 11, 17, 19, 20
5
4.000 – 4.499 1, 2, 15, 16, 18
5
3.500 – 3.999 4, 5, 12, 14
4
3.000 – 3.499 3, 7, 8
3
2.500 – 2.999 6, 10
2
2.000 – 2.499 13
1
< 1.999 N/A
Total
20

The top five perceived coaching behaviors considered most inappropriate for males (listed in rank order) are (a) implied sexual favors could result in increased scholarship money or rank on the team (Item 20), (b) coach’s use of pet names (Item 9), (c) coach solicits player in a personal manner (Item 17), (d) coach initiates contact with player by allowing player to sit on lap (Item 19), and (e) coach puts hands on player’s buttocks while giving tennis instruction (Item 11).

The top five perceived coaching behaviors considered most appropriate for males (listed in rank order) are (a) coach closes the door when meeting with a player (Item 6), (b) coach invites a player out to dinner in a public setting (Item 3), (c) coach gives congratulatory hug to a player after the match (Item 13), (d) coach compliments player on appearance (Item 8), and (e) coach touches player’s arm when giving tennis instruction (Item 10).

Factor analysis was employed to determine the perceived abusive behaviors and specific factors necessary for the implementation of policies and procedures. The factor extraction method comprised use of principal axis factoring and varimax rotation with Kaiser normalization, in order to analyze interrelationships and pattern correlations between observed variables and the perceived behavior items. This resulted in a four-factor solution. Examining the scree plots supported extracting the four factors (eigenvalues greater than 1.0).

The rotated four-factor solution accounted for 66.05% of the variance in respondents’ perceptions about coaches’ ambiguous behaviors. Cluster titles were assigned to each factor so that they could be grouped by degree of severity. To determine factor reliability, the internal consistency of each factor was assessed by computing Cronbach’s alpha coefficient. All four subscales indicated a good level of internal consistency, with coefficients greater than .85.

Four categories with 66% of the total variation for the perceived coaching behaviors were identified through factor analysis. Cluster titles were assigned to each of the four group items.

Table 3

Categorization of Behaviors

Category 1
Item 4
Item 1
Item 2
Item 5
Item 3
Invitations
Invitation to coach’s house for tactical discussion
Invitation to lunch
Invitation for a drink after training session
Invitation for coffee in a non-public setting
Invitation to dinner in a public setting

 

31%
Category 2
Item 13
Item 10
Item 7
Item 14
Item 11
Invasion of personal space
Coach gives congratulatory hug
Coach touches arm while giving tennis instruction
Coach sits or stands close when talking with a player
Coach gives a playful shoulder massage or backrub
Coach places hands on player’s buttocks

 

16%
Category 3
Item 8
Item 9
Item 17
Personal compliments
Coach compliments appearance
Coach uses pet names
Coach solicits in a personal manner

 

10%
Category 4
Item 18
Item 6
Item 19
Item 20
Inappropriate contact
Coach instigates frequent nightly telephone contact
Coach closes the door when meeting with an athlete
Coach initiates contact of player sitting on his/her lap
Coach implies that sexual favors could result in promotion

 

9%
Miscellaneous
Item 16
Item 15
Item 12
Did not load
Coach attempts to rape a player
Coach attempts aggressive physical contact
Coach uses profanity when giving instruction

Conclusion

The study findings did not align with prior research results or with the researcher’s expectations. The surveyed university tennis players surprisingly rated the 20 behaviors as appropriate. Explanations for why athletes in this study perceived certain behaviors as appropriate could include the power coaches have over athletes to make decisions for them, or perhaps naiveté among athletes about the abuse potential in the coach-athlete relationship: athletes’ innocence regarding a coach’s power and presence in their lives. Moreover, coaches may be unaware of their power over athletes through implications of their language, jokes, and even their physical presence.

Earlier studies provided evidence of an alarming rise in sexual harassment and emotional abuse in universities and colleges. From these studies, it seems that student-athletes’ perceptions about possibly abusive coach behavior differ with the gender of the athlete, the gender and intentions of the coach, the severity and frequency of inappropriate behavior, judgment of the involvement of the victim, the status of the supervisory role, and personal experience.

Few American athletic departments work to educate either coaches or students about sexual harrassment or emotional abuse, although information about the phenomena can prevent misunderstanding and conflict between coaches and athletes. It is thus not surprising that many of the athletes surveyed for the present study seemed to miss the questionable implications of a coach’s inviting a player for drinks and even the extreme inappropriateness of a coach’s aggressively pursuing physical contact or even attempting to rape a player. Sexual harassment in the university community deserves our attention. To protect student-athletes specifically, it is essential that athletic departments implement antiharrassment and antiabuse policies and procedures. As the body of research on sexual harassment in the sport domain grows, there is hope that these can be instituted nationwide. Then, they must be evaluated and monitored by individuals outside the university setting.

Sexual harassment undermines the mission of sports, which is to improve the physical, mental, and emotional well-being of all participants. Harassment has debilitating consequences for its victims, and it is also potentially damaging to institutions. Failing to acknowledge that athletic departments are home to both harassment and emotional abuse puts universities and colleges in line for more and more lawsuits, which will be extremely costly and harmful to an institution’s reputation.

References

Amorose, J., & Horn, T. S. (2001). Pre- to post-season in the intrinsic motivation of first year college athletes: Relationships with coaching behavior and scholarship status. Journal of Applied Sport Psychology, 13(5), 355–373.

Barak, A., Fisher, W., & Houston, S. (1992). Individual difference correlates of the experience of sexual harassment among female university students. Journal of Applied Social Psychology, 22, 17–37.

Brackenridge, C. (1987, Summer). Ethical problems in women’s sport. In National Coaching Foundation, Coaching Focus (pp. 5–7). Leeds, West Yorkshire, United Kingdom: Author.

Brackenridge, C. (2001). Spoilsports: Understanding and preventing sexual exploitation in sport. New York: Routledge.

Dominowski, W. (2002). When parents take their child’s sport participation beyond reason. Journal of Sports Psychology, 3(3), 1–5.

Finn, R. (1999, March 7). Growth in women’s sports stirs harassment issue. The New York Times. Retrieved from http://www.nytimes.com/library/sports/other/030799women-harass.html

Lambrecht, K. W. (1986). An analysis of the competencies of athletic club managers. Unpublished doctoral dissertation, Oregon State University.

Lenskyj, H. (1992). Unsafe at home base: Women’s experiences of sexual harassment in university sport and physical education. Women in Sport and Physical Activity Journal, 1(1), 19–34.

Nunnally, J. C. (1978). Psychometric theory (2nd ed.). New York: McGraw-Hill.

Volkwein, K., Frauke, I., Sherwood, D., & Livezey, A. (1997). Sexual harassment in sport: Perceptions and experiences of American female student-athletes. International Review for the Sociology of Sport, 23(3), 283–295.

Zikmund, W. G. (1994). Exploring marketing research (5th ed.). Fort Worth, TX: Dryden.

 

Author Note

Vicky-Lynn Martin, D.S.M.

2016-04-01T09:56:24-05:00February 21st, 2008|Contemporary Sports Issues, Sports Coaching, Sports Management, Sports Studies and Sports Psychology|Comments Off on Student-Athletes’ Perceptions About Abuse by NCAA Division II Tennis Coaches

Volunteerism and Multiculturalism: A Linkage for Future Olympics

Abstract

Olympic volunteerism is a relatively new topic in the Olympic Movement and in research. It was not until the 1980 Lake Placid Olympics that an Olympic volunteer movement commenced. To date, the Olympic Movement has not established a policy concerning volunteerism and multiculturalism. None of the 18 main commissions of the International Olympic Committee has a primary mandate for volunteerism and multiculturalism; responsibility for recruiting and training volunteers falls to the national Olympic committees. Reflecting upon the experiences of Canada’s multiculturalism policy, this paper examines the linkage between volunteerism and multiculturalism in the Olympic Movement and develops a policy on volunteerism and multiculturalism for that movement. The policy emphasizes (a) equal recognition of all volunteers, (b) equal opportunity for personal growth through the volunteer experience, (c) provision of all volunteers with opportunity to experience the Olympic spirit, (d) cultural exchange and interchange among volunteers, and (e) a “common cultural environment.”  The researcher concludes that the outlined policy should be implemented by one of the IOC main commissions (perhaps the Commission for Culture and Olympic Education) and/or in the Olympic Charter.

Volunteerism and Multiculturalism: A Linkage for Future Olympics

The volunteer sector, traditionally known as society’s third sector, has rapidly grown since the 1970s (Hall & Banting, 2000; Scott, 1997). This trend has occurred in most western nations that have witnessed downsizing of public sector services, fiscal restraints on public resources, and increase in reliance on volunteers to serve the growing needs of society. This trend has also spilled over into the commercial sector as many corporations, businesses, and enterprises have looked to reduce costs by accepting the assistance of volunteers. Moreover, major national and international sporting events such as the Francophone Games in Canada and the Summer and Winter Olympic Games depend on volunteers more today than in the past to provide needed services to athletes, officials, spectators, and others involved with these events (Larocque, Gravelle, & Karlis, 2002).

Regardless of the type of volunteer service or environment, volunteers are made up of different people, from different backgrounds, having many different cultures (Arai, 2000–2001, 2002; Minshall, 1984). When these people come together as volunteers to provide a common service under a “common roof” to an organization or an event such as the Olympics, they not only have to abide by standards and regulations of the host country’s national Olympic committee, they also have to learn to appreciate and work with each other, despite cultural differences. Indeed, Olympic volunteers are called upon to “work with so many cultures at a time and look as if they were one” (Pellico, 1999, p. 1). As each volunteer is accustomed to a different way of life, it may be difficult for them to interact in a socially cohesive fashion (Karlis, 1998). This is a challenge that each host country’s national Olympic committee and the Olympic Movement must be prepared to contend with.

In November 1999, under the auspices of the Olympic Museum and the International Chair on Olympism, the Conference on Volunteers, Global Society and the Olympic Movement was held in Lausanne, Switzerland. This conference attracted roughly 100 experts representing nongovernmental organizations, national and international associations for volunteers, national Olympic committees, Olympic organizing committees, national and international sports federations, volunteer leaders, and researchers. The conference concluded by emphasizing that contributions made by volunteers to the Olympic Games are plentiful, extending beyond rendering services to actually enhancing the Games’ social and cultural dimensions.

At a subsequent conference, the World Conference on Olympic and Sport Tourism held in New York in November 2001, Jacques Rogge [president of the International Olympic Committee] proposed that the national Olympic committees set up volunteer corps. Rogge argued that a need for specialized volunteers exists. He went on to state that, “One must draw from culture, local traditions, and the experience acquired by volunteers, to build up volunteerism” (Rogge, 2001–2002, p. 1). Moreover, the New York Declaration put forth at this conference recognized that volunteerism is the foundation of the Olympic Movement; that is, a need exists within the Olympic Movement to promote, develop, and consolidate the culture of volunteerism.

Despite the fact that the results of both of these conferences highlighted culture as an important dimension in volunteerism, a policy on volunteerism and multiculturalism does not exist anywhere in the Olympic Movement. Although host countries’ national organizing committees continuously emphasize culture, cultural awareness, and cultural transmission, there is no policy within the Olympic Movement or Olympic Charter that guides the preparation of volunteers to serve the multicultural fabric of the Olympic Games. Moreover, a commission having the development of volunteers as its primary mandate is not to be found amongst the international Olympic commissions.

Canada is a nation that has a multicultural policy and is regarded by many as a classic example of diverse peoples living and working together in an efficient and effective manner (Karlis & Katakoullis, 1992). The 1988 introduction of its multicultural policy was Canada’s endorsement of equal recognition and equal opportunity for all Canadians (Department of the Secretary of State of Canada, 1987). More specifically, in Canada, multiculturalism policy is used by the government as an administrative tool for enhancing Canadians’ social cohesiveness (their range of ethnicities notwithstanding) and helping to establish a “Canadian” identity for this young society.

The purpose of this paper is to examine the linkage between volunteerism and multiculturalism in terms of the Olympic Movement. It addresses the call made at the conclusion of the 1999 Lausanne conference and 2001 New York conference for increased research on volunteerism at the Olympics. The paper makes a case for the implementation of volunteerism and multiculturalism within the mandate of the Olympic Movement, taking Canada’s multiculturalism policy as an example.

Volunteerism and the Olympic Games

Although it may be argued that volunteerism at the Olympic Games has a rich history, with many athletes, officials, and organizers sharing their time and effort, the concept of the Olympic volunteer is fairly young. The glossary in the official report of the 1992 Barcelona Games offered the first published definition of an Olympic volunteer. This definition states that the Olympic volunteer is “a person who makes an individual, altruistic commitment to collaborate, to the best of his/her abilities[,] in the organization of the Olympic Games, carrying out the tasks assigned to him/her without receiving payments or rewards of any other nature” (Barcelona Olympic Organizing Committee, 1992, p. 381).

Historically, the concept of the Olympic volunteer evolved out of the work of the organizing committee for the Lake Placid Games in 1980. During these Games, a volunteer program was created that  focused on preparing and training approximately 6,000 volunteers (Moreno, 1999). Indeed, since 1980 there has been a greater reliance on volunteers to stage each Olympic Games, leading to increased numbers of volunteers and stronger focus on training volunteers on the part of host nations’ organizing committees. The figures in Table 1 demonstrate the growth in the numbers of volunteers at summer and winter Olympic Games.

Table 1

Numbers of Volunteers at Summer and Winter Olympic Games, 1984 to 2004

Summer Games Winter Games
Los Angeles 1984 28,742 Lake Placid 1980 6,703
Seoul 1988 27,221 Sarajevo 1984 10,450
Barcelona 1992 34,548 Calgary 1988 9,498
Atlanta 1996 60,422 Albertville 1992 unavailable
Sydney 2000 47,000 Lillehammer 1994 9,054
Athens 2004 60,000a Nagano 1998 32,579
Salt Lake City 19,000

aEstimated total volunteers for Olympics and Paralympics

Without doubt, volunteerism is an important part of implementing the Olympic Games. As Fok argued (1999), “Volunteers constitute the force that lies behind the Olympic ideal” (p. 2). Volunteers are needed not only to operate services but to assist in management and technical areas, medical support, sport event technical operations, international relations and language areas, and operative and general services (Lanzoni & Lykogianni, 1999). In Athens in 2004, there will be four periods during which volunteers will serve: (a) during “test events” used to test facilities and all operations prior to the Games (2003–04), (b) during the preparation of the Olympic and Paralympic Games (May–August 2004), (c) during the Olympic Games (13–29 August 2004), and (d) during the Paralympic Games (17–28 September 2004) (International Olympic Committee, n.d.) . The efforts of volunteers allow these Games to operate and indeed to continue to exist. The official website for the Athens Olympics puts it succinctly: “The greatest celebration of humanity is only possible through the will, the passion, the dedication and the professionalism of each volunteer” (International Olympic Committee, n.d.).

It is estimated that in Athens in 2004, 45,000 volunteers will be trained for the Olympics and 15,000 for the Paralympics. The Sydney Olympic Games utilized 47,000 in 2000; the Atlanta Games relied on the efforts of 60,422 volunteers in 1996. To equip so many volunteers to carry out the necessary tasks requires the appropriate management and guidance and also sound training. Training is probably the most important aspect of preparing to volunteer at the Olympics.

Those who volunteer make a commitment of time to the event of roughly 14 days, start to finish. But in addition, they commit time outside the actual Games for training and preparation for their tasks. In some cases there is wrap-up work after the Games. Those who volunteered for the Games in Athens completed the following steps: a personal interview, training, and participation. In past Olympics, the training process has varied slightly from organizing committee to organizing committee, reflecting the unique needs of a host nation and a specific Games. During the Sarajevo Games, for example, training was general and acquainted volunteers with the region’s geography and its social and political history, with special emphasis on the principles of socialism. At the Calgary Olympics, in contrast, a systematic plan specified training for each event location (Moreno, 1999). Nonetheless, for the most part the training of volunteers during past Olympics comprised sessions focusing on Olympic history, hosting techniques, customer services, international relations, cultural awareness, and people skills (Techmeyer, 2002). Thus there are three main “courses” involved in  training volunteers: a culture course, a tasks and functions course, and a practical hands-on course (Moreno, 1999).

More than likely, this will be the case for the Athens Games as well. A volunteer for the Athens 2004 Games will complete a training program related to a specific role (International Olympic Committee, n.d.). The training will consist of  (a) acquaintance with the history of the Ancient and Modern Olympics, (b) introduction to the different sport activities, (c) explanation of the routines of the Games, and (d) awareness of information to be given to athletes, officials, and visitors to the Games.

In preparation for the Salt Lake City Olympic Games, volunteer Britannie Hanson attended five training sessions. The first was a general orientation held in a packed high school auditorium. During orientation, uniforms were displayed and the coming months’ agenda was reviewed; door prizes (microwave ovens, vacuum cleaners) were awarded. At the next volunteer training session, training was more specific and was carried out in groups of 25 to 35 volunteers. The training topics included everything from venue locations to hospitality and international customs (e.g., some cultures consider it rude to point a finger, so volunteers were to learn to give directions without using that gesture) (Foy, 2001). The final three training sessions included one general class and two meetings devoted to learning individual job-specific and venue-specific roles.

As a reward or incentive for volunteering, volunteers receive a number of perks. For example, during the Sydney Olympics in 2000, volunteers were provided with a free uniform and received free meals and refreshments while working. In addition, free transportation on the Olympic network was provided to volunteers on duty, and volunteers received complimentary tickets to an event of the Games.

Moreno (1999) lists three kinds of effects of volunteerism that make it important to the Olympic Movement today and in the future: political effects, economic effects, and cultural effects. From a political perspective, volunteerism represents the coming together of individuals in a particular project, which leads to the expression of public momentum. From an economic perspective, volunteerism represents reduced salary costs and other expenses. From the cultural viewpoint, finally, volunteerism creates enhanced knowledge of solidarity and multiculturalism: an appreciation and respect for all cultures.

The Olympic Movement

The Olympic Movement commenced with the reestablishment of the Olympic Games by Pierre de Coubertin. Since the first modern-day Games, held in Athens in 1896, the Olympic Movement has continued to grow, shaped by Olympism, which is a philosophy based on equality of sports, which are international and democratic. Indeed, it is the goal of the Olympic Movement to assist in building a better world by educating youth through sport practiced without discrimination of any kind. The intent of the Olympic Movement, according to a statement on www.olympic.org, is to build a spirit of friendship, solidarity, and fair play (International Olympic Committee, n.d.).

The Olympic Movement is made up of a wide array of organizations, athletes, and other persons who agree to abide by the Olympic Charter and who recognize the International Olympic Committee (IOC) as the supreme authority in the Olympic Movement. The 102-page, five-chapter Olympic Charter outlines the fundamental principles of the Olympic Movement. Members of the Olympic Movement include individuals, international sport federations, national Olympic committees, judges, referees, and athletes.

The operation of the Olympic Games is a difficult process. To aid in successfully implementing the Games, the IOC has established 18 main commissions, each consisting of experts in a specified domain. The work of these commissions addresses areas the IOC has deemed vital not only to implementing the Games, but to sustaining the Olympic Movement. The Olympic Movement extends beyond sport to the promotion of Olympic ideals through cultural and educational programs. In addition, the Olympic Movement is also concerned with humanitarian aid efforts, environmental efforts, and enhancing the status of women in sport.

Volunteerism, Multiculturalism and the Olympic Movement

A review of the Olympic Charter and of information made available by the Olympic Movement and the main IOC commissions reveals that the issue of volunteerism and multiculturalism has not been highlighted. The relationship of the two appears to receive scant attention in formal documents of the Olympic Movement; no heading in any of the five Olympic Charter chapters alludes to volunteerism. Moreover, a policy on volunteerism and multiculturalism appears not to exist anywhere in Olympic Movement documentation. Despite this omission,  Richard Pound (1999), IOC first vice president, has stated that, “the Olympic Movement is a social phenomenon based, fundamentally, on the activities of volunteers” (p. 1).

And yet none of the 18 IOC main commissions focuses primarily on volunteerism, and the Commission for Culture and Olympic Education alone addresses the issue of cultural diversity, although its mandate does not include a multicultural policy.  The role of the Commission for Culture and Olympic Education is to focus on culture’s relationship to sport  in pursuit of a linkage between sport and culture, advocation of cultural exchange, and promotion of the diversity of cultures. The commission, according to the website www.olympic.org,  fulfills its role by organizing international competitions, forums, and special events and by developing educational programs (International Olympic Committee, n.d.).

As Pound’s statement suggests, however, volunteerism and multiculturalism are important concerns in the Olympic Movement. Traditionally, volunteerism has been the responsibility of the host country’s national Olympic committee, which also would address issues of multiculturalism (again, along with the IOC Commission for Culture and Olympic Education). Thus, for the most part the Olympic Movement has addressed volunteerism and multiculturalism distinctly, rather than collectively. For example, leading up to the Athens Games, the National Olympic Committee of Greece is addressing volunteerism through two branches of the organizational structure, volunteer recruitment and volunteer training. Each branch has a manager who reports directly to the general manager of the Volunteers Division.

Multiculturalism in Canadian Society

Canada is a multicultural society. Approximately one third of Canada’s population comprises immigrants and their immediate descendents. In recognition of the cultural mosaic the population represents, the government of Canada enacted the 1988 Canadian Multiculturalism Act. The act underscores the value Canada places on diversity and highlights the importance of all individuals in the development of the Canadian identity. The act brought about the establishment of a multiculturalism policy, whose main objectives include (a) recognizing the cultural diversity of Canada and that Canadians are free to preserve and share their cultural heritage, affirming that multiculturalism is a fundamental characteristic of Canadian identity; (b) confirming that ethnic origin and background should not limit anyone’s chance to help shape and build Canadian society; (c)  recognizing Canada’s culturally diverse communities and their contributions to Canadian society; (d) promoting equality for all and creating the social conditions that further the goal of equality; (e) recognizing that the social and cultural life of Canada is strengthened by bringing together Canadians of different backgrounds; and (f) recognizing that a multicultural heritage contributes to the richness of Canadian cultural expression.

Moreover, Canada’s multiculturalism policy ensures that Canadians of all origins have an equal opportunity to obtain employment and advancement in those institutions. The policy furthermore promotes programs and practices that enhance the ability of individuals and communities of all origins to contribute to the continuing evolution of Canada, as well as those that enhance understanding of and respect for the diverse members of Canadian society. Through the multicultural policy, an expectation is established that use will be made, as appropriate, of language skills and cultural understanding of individuals of all origins. Finally, the policy calls for conducting activities in a manner that is sensitive and responsive to the multicultural reality of Canada.

Lessons for the Olympic Movement

Most Olympic volunteers come from the host nation (Nakajima, 1999). One important attribute of these volunteers is patriotism, that is, helping to promote the host city and country (Ronningen, 1999). Volunteers must have a sense of national pride, must value cooperation, and must promote the Olympic spirit (Kikou, 2001). As Bontempi (2001) notes, moreover, the ideal Olympic volunteer is able to work with people of all cultural and social backgrounds.

To produce ideal Olympic volunteers is a difficult task. Traditionally, training volunteers has fallen under the auspices of the national Olympic committee of a host nation. Focus has been placed on educating volunteers about ideals of the Olympics and training them in specific skills and tasks for their volunteer positions. Training overall has been case-specific, as no policy has existed within the Olympic Movement for the training of volunteers. While an IOC policy for training volunteers perhaps is not required, since each national Olympic committee best recognizes its own needs and those tasks required to implement its Games. But perhaps an effective policy on volunteerism and multiculturalism could help create a “collective cultural orientation” among volunteers and those who train them.

Canada’s multiculturalism policy is globally renowned as one of the best. It is likely the Olympic Movement could benefit by adapting some part of the policy. The effort might start by recognizing the diverse, pluralistic nature of volunteers, highlighting how multiculturalism can contribute to an “Olympic identity.” Moreover, a policy on volunteerism and multiculturalism would help establish a collective understanding of the cultural importance of volunteerism.

An Olympic policy on volunteerism and multiculturalism should have at its center the following:

  1. equal recognition of all volunteers
  2. equal opportunity for personal growth through the volunteer experience
  3. provision of all volunteers with opportunity to experience the spirit of the Olympics
  4. cultural exchange and interchange among volunteers
  5. a “common cultural environment”

Such a policy would assist nations like Greece, whose National Olympic Committee has actively recruited prospective volunteers from the diaspora, notably Canadians, Australians, and Americans of Greek descent. Because Greece is the smallest nation to host the Olympics, the need to look beyond its borders to secure volunteers has been great. It is possible that, unlike in past Olympics, a large number of volunteers will come from countries other than the host country (Karlis, in press).

Which sector of the Olympic Movement should be responsible to implement the policy on volunteerism and multiculturalism, the national Olympic committees or the Commission for Culture and Olympic Education–or might a new commission be established for volunteerism and multiculturalism? Alternatively, should a volunteerism and multiculturalism policy be integrated within the Olympic Charter?

The national Olympic committees are responsible for the training of volunteers and thus would benefit from a policy on volunteerism and multiculturalism. To make sure all future Olympic Games would operate under the policy, it would be wise to implement it in a central governing body, such as the Commission for Culture and Olympic Education. If the Olympic Movement deems such policy important enough, an IOC commission for volunteerism and multiculturalism might even be established. This would without doubt help to further address growing use of Olympic volunteers. The implementation of policy on volunteerism and multiculturalism within the Olympic Charter would go a step further in creating a solid base for volunteerism throughout the Olympic Movement.

Conclusion

While since the 1980s Olympic volunteers have become increasingly valuable resources for organizing Olympic Games and carrying out their day-to-day functions, the Olympic Movement has only lately begun to recognize the importance of volunteers. Conferences in 1999 and 2001 both called for more research on Olympic volunteerism and multiculturalism, calls supported by the present research. The future of the Olympic Movement largely rests on the efforts of volunteers. A policy on volunteerism and multiculturalism would significantly enhance the volunteer movement of the Olympics, along with larger Olympic aims.

References

Arai, S. M. (2000–2001). Typology of volunteers for a changing sociopolitical context: The impact on social capital, citizenship and civil society. Leisure and Society, 23(2), 327–352.

Arai, S. M. (2002). Ethnic identity, diversity and social cohesion through volunteering: A critical examination of theoretical concepts applied to cultural non-profit organizations in society [Abstract]. Proceedings of the 10th Canadian Congress on Leisure Research, 35–36.

Barcelona Olympic Organizing Committee (1992). Memoria oficial de los Juegos Olimpicos de Barcelona [Official Account of the Barcelona Olympic Games]. Barcelona, Spain: Author.

Bontempi, R. (2002, December–January). The ideal Olympic volunteers. Olympic Review, 23–26.

Department of the Secretary of State of Canada. Multiculturalism. (1987). Ottawa, Ontario, Canada: Author.

Fok, F. (1999, November). Volunteers move society forward with sports culture. Paper presented at the Conference on Volunteers, Global Society and the Olympic Movement, Lausanne, Switzerland.

Foy, P. (November 5, 2001). Salt Lake City Olympic volunteers learn never to point a finger. Retrieved from http://ca.sports.yahoo.com/011105/6/darw.html

Hall, M., & Banting, K. G. (2000). The nonprofit sector in Canada: An introduction. In K. G. Banting (Ed.), The nonprofit sector in Canada (pp. 1–28). Kingston, Ontario, Canada: School of Policy Studies, Queen’s University.

Hanson, B. S. (April 5, 2001). Olympic volunteers prepare for 2002. Retrieved from  http://www.davis.k12.ut.ut.us/vhs/news/Apr5_01/n6.htm

International Olympic Committee. (n.d.). Retrieved from http://www.athens2004.com/page/default.asp?la=2&id=2342

International Olympic Committee. (n.d.). Retrieved from http://www.olympic.org/uk/organisation/index_uk.asp

Karlis, G. (1998). Social cohesion, social closure and recreation: The ethnic experience in multicultural societies. Journal of Applied Recreation Research, 23(1), 3–21.

Karlis, G. (in press). Culture and identity: Bringing back Greeks from the diaspora to volunteer for Athens 2004. Economics and Athletics.

Karlis, G., & Kartakoullis, N. (1992). Leisure in multicultural societies: Learning from the Canadian experience. Journal of Business and Society, 5(1, 2), 94–102.

Kikou, O. (2001, December–January). How to build a volunteer force. Olympic Review, 19–21.

Lanzoni, I., & Lykogianni, D. (1999, November). The volunteers during and after the Olympic Games: Youth camp and Olympic Education School programmes. Paper presented at the Conference on Volunteers, Global Society and the Olympic Movement, Lausanne, Switzerland.

Larocque, L., Gravelle, F., & Karlis, G. (2002). Volunteerism and serious leisure: The case of the Francophone Games [Abstract]. Proceedings of the 10th Canadian Congress on Leisure Research, 85–87.

Minshall, L. (1984). Volunteerism. The Recreationist, 4(2), 13–24.

Moreno, A. B. (1999, November). The evolution of volunteers at the Olympic Games. Paper presented at the Conference on Volunteers, Global Society and the Olympic Movement, Lausanne, Switzerland.

Multiculturalism and Citizenship Canada. (1990). The Canadian Multiculturalism Act: A guide for Canadians. Ottawa, Ontario, Canada: Author.

Nakajima, S. (1999). Activist volunteering: The Bind-Aid Volunteer Group and its work prior to the Nagano Games. Paper presented at the Conference on Volunteers, Global Society and the Olympic Movement, Lausanne, Switzerland.

Pellico, A. (1999, November). My experiences as a volunteer at the centennial Olympic games, Atlanta ‘96. Paper presented at the Conference on Volunteers, Global Society and the Olympic Movement, Lausanne, Switzerland.

Pound, R. (1999, November). Volunteers and the Olympic Movement: Past, present, and future. Paper presented at the Conference on Volunteers, Global Society and the Olympic Movement, Lausanne, Switzerland.

Rogge, J. (2001, December–January). Volunteerism. Olympic Review, 1.

Ronnigen, P. (1999, November). Volunteer recruitment policy and motivation factors for volunteering. Paper presented at the Conference on Volunteers, Global Society and the Olympic Movement, Lausanne, Switzerland.

Scott, J. T. (1997). Defining the nonprofit sector. In R. Hirshhorn (Ed.), The emerging sector: In search of a framework. Ottawa, Ontario, Canada: Renouf.

Techmeyer, M. (2002). The 2002 Olympic Winter Games: Who’s volunteering from IM-STC? Retrieved from http://utah.edu/stc/newletters/sloc.html.

Author Note

George Karlis, Ph.D.

2018-03-22T11:33:07-05:00February 18th, 2008|Sports Management|Comments Off on Volunteerism and Multiculturalism: A Linkage for Future Olympics
Go to Top