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Strategic Planning in University Athletic Departments in the United Kingdom
Abstract
The study’s purposes were to (a) determine the extent to which university athletic departments in the United Kingdom use strategic planning, (b) identify key factors discouraging strategic planning, and (c) examine relationships between use of strategic planning and the variables university size and athletic director’s background. Of athletic departments studied, 59.5% were strategic planners that wrote long-range plans, assessed external and internal environments, and based strategies on department mission and objectives. The remaining 40.5% were nonstrategic planners using just some components of the strategic planning process, as either users of short-range written plans and budgets, for the current fiscal period; users of unwritten short-range plans maintained in an administrator’s memory (intuitive planners); or users of no measurable planning procedures.
Keywords: planning, strategic planning, strategy, university athletic departments
Private and public organizations today use a structured planning process to select appropriate long-term objectives and develop means to achieve these objectives (Christensen, Berg, Salter, & Stevenson, 1985; Elkin, 2007; Mintzberg, Lampel, Quinn, & Ghoshal, 2003; Wheelen & Hunger, 2008). The business sector of society has long recognized that continued profitability requires maintaining a strategic fit between organizational goals and capabilities and changing societal and economic conditions. As its environment changed, the business sector developed planning systems which made possible coordinated and effective responses to increasing unpredictability, novelty, and complexity (Ansoff, 1984). Strategic thought and practice generated in the private sector can also help public and nonprofit organizations anticipate and respond effectively to their dramatically changing environments (Bank, 1992; Bryson, 1988; David, 1989; Duncan, 1990; Espy, 1988; Laycock, 1990; Medley, 1988; Nelson, 1990; Robinson, 1992; Wilson, 1990).
Today’s colleges and universities have experienced rapid change. Educational administrators are confronted with changes associated with aging facilities, changing technology, changing demographics, increasing competition, rising costs, funding cuts, and so on. The educational sector has begun to recognize that strategic planning is necessary in order to maintain responsiveness to the rapidly changing environment (Agwu, 1992; Busler, 1992; Hall, 1994; Williams, 1992). Since athletic programs are so much a part of colleges and universities, athletic departments face the same problems as do the institutions to which they belong. If athletic departments are to respond well to change, they must anticipate it and adapt programs and resources to meet their mission and objectives in new situations (Bucher, 1987; Kriemadis, Emery, & Puronaho, 2001). Strategic planning may help athletic departments do this and may further point them to the strategies necessary to achieve their missions and objectives (Dyson, Manning, Sutton, & Migliore, 1989; Ensor, 1988; Gerson, 1989; Kriemadis, 1997; Smith, 1985; Sutton & Migliore, 1988).
Duncan (1990) stated that strategic planning is a method of decision making developed in the private sector that has been adopted by public sector organizations. Proponents of strategic planning argue that traditional long-range planning fails in the contemporary world, and strategic planning is now the powerful tool for organizations to cope with an uncertain future.
The service sector today includes a growing nonprofit segment, including social services, schools and universities, research organizations, sports organizations, religious orders, parks, museums, and charities. Strategic planning is earning its place in the management systems of service businesses (Kriemadis, 1997; Kriemadis et al., 2001; Sutton & Migliore, 1988; Wilson, 1990). Pearce and Robinson (1985) have argued that strategic planning consists of the following steps:
1. Determining the culture, policies, values, vision, mission, and long-term objectives of the organization.
2. Performing external environmental assessment to identify key opportunities and threats.
3. Performing internal environmental assessment to identify key strengths and weaknesses.
4. Developing long-range strategies to achieve the organization’s mission and objectives.
5. Establishing short-range objectives and strategies to achieve the organization’s long-range objectives and strategies, a process called strategy implementation.
6. Periodically measuring and evaluating performance, a review known as strategy evaluation.
Steps 1–4 together are referred to as strategy formulation.
A number of authors (Ansoff & McDonell, 1990; Barry, 1986; Bryson, Freeman, & Roering, 1986; Bryson, Van de Ven, & Roering, 1987; Elkin, 2007; Kotler, 1988; Mintzberg et al., 2003; Rowe, Mason, Dickel, & Snyder, 1989; Steiner, 1979; Wheelen & Hunger, 2008) argue that, in turbulent environments, strategic planning can help organizations to
- think strategically and develop effective strategies
- clarify future direction
- establish priorities
- develop a coherent and defensible basis for decision making
- improve organizational performance
- deal effectively with rapidly changing circumstances
- anticipate future problems and opportunities
- build teamwork and expertise
- provide employees with clear objectives and directions for the future of the organization and increase employee motivation and satisfaction
Wheelen and Hunger (2008) and Newman and Wallender (1987) stated that basic management concepts should be applied to both profit and nonprofit organizations. The present study is useful in extending the basic management concept of strategic planning to university athletics. It may help athletic administrators to further their understanding of the strategic planning process in their respective athletic departments.
Management of University Athletic Departments in the U.K.
Both the nature and context of sports programs in the United Kingdom—and specifically of sports in higher education there—have changed in unprecedented ways in the last decade. For instance, public income per student has declined by 40% in real terms, and universities have responded by rapidly expanding student numbers and developing alternative income-generation activities involving nongovernmental sources (Lubacz, 1999).
Sports in the university sector in the U.K. has historically been managed by each university’s athletic union, a largely student-run body attached to the student union. The role of the athletic union, the fact that students belonging to it are untrained, and the voluntary nature of athletic union offices (filled annually by election) have rendered management of university sports largely ineffective, strategic planning virtually nonexistent. But sports’ profile has increased considerably, as has the value attached to sports. Many universities in the U.K. have already recognized that by managing their sports programs more effectively, fully endorsing a corporate-type strategy within their athletic departments, they should be able to develop new opportunities at local, regional, national, and even international levels. To establish a rationally planned and coordinated approach to sports, many universities have introduced relatively formal sports management structures. These have often involved full-time paid positions emerging from either academic departments, central services, or, more directly, from a university’s student union.
Because the scale and scope of such developments in university athletic departments over the last five years have varied widely, university sports in the U.K. now involves many diverse approaches to management. At one extreme, some universities still feature programs run entirely by students for students. At the opposite end of the continuum, some universities have recently created institutes of sports that are separate cost centers employing up to 20 staff members or more. Such institutes of sports aim to fully realize roles that may include (a) encouraging and supporting sports participation by students and staff, (b) establishing the university’s place as a center of excellence in sports, (c) managing the university’s sports facilities, programs, and events, and (d) organizing short courses, seminars, conferences, research, consultancy, and publications that reflect both university expertise and strong international, European, and regional links enjoyed by the university (Ilam, 1999).
Thus the functions of university sports and the nature of university sports programs are now considerable in some cases, much broader than campus athletic clubs and student competitions. Stakeholders can include internal and external clientele: participants, spectators, coaches, administrators, sponsors. Sports products and services can relate to anything from merchandising to organizing short courses; from national athlete awards to requirements of degree study in sports-related areas. University sports facilities can be used for a variety of leisure purposes over all 52 weeks of a year, and the meaning of recreational sports can extend to providing personalized health fitness programs. Consequently, within higher education, sports has a growing, diversifying audience, only one part of which is involved with competitive performance. Many universities have positioned themselves accordingly, establishing the balance and management practices to meet new needs.
Where universities and their students wish to compete against one another, either nationally or internationally, they must become institutional members of the British Universities Sports Association (BUSA). This voluntary association has its origins in the first intervarsity athletic meeting between nine institutions from England and Wales, held in 1919. Since that time, membership eligibility has been limited to U.K. institutions of higher education, but in 1999 BUSA had 148 members and some 200,000 students participating in nationally organized championships in 43 different sports (BUSA, 1999).
The present study addressed two research questions: (a) To what extent do university athletic departments in the United Kingdom use the basic management tool of strategic planning? and (b) What are the key factors discouraging athletic departments’ use of strategic planning? In addition, the study tested the following two hypotheses:
Hypothesis 1. The extent to which strategic planning is used by the athletic department of a U.K. university is independent of the university’s size.
Hypothesis 2. The extent to which strategic planning is used by the athletic department of a U.K. university is independent of the background of the university’s athletic director.
Method
Population
The population for the present study consisted of 101 of the 148 institutional members of the British Universities Sports Association (BUSA). The 101 BUSA members studied represented all U.K. universities that had participated in more than 10 sports competitions during 1999 and that furthermore employed a full-time coordinator of sports. These criteria were established in order to ensure participation by sports planning units large enough to pursue the kind of strategic planning under investigation. Surveys were sent to the athletic departments of the 101 BUSA members. Out of these, 37 responded (37% response rate). Nonrespondents’ characteristics did not appear to follow a pattern of geographical location or institutional size. This fact, combined with the response rate, suggests that results of the study can be generalized to the target population.
Instrument
Data describing the 37 participating athletic departments’ strategic planning practices were collected using a questionnaire developed by the author and validated by a panel of experts in strategic planning, higher education, management, and sports management. The reliability of the survey instrument was determined via Cronbach’s alpha (a); all alpha coefficients were within acceptable ranges for comparable instruments (Nunnally, 1967). Coefficients for each subdimension were as follows: general planning factors, a = .67; external factors, a = .89; internal factors, a = .87; constraint factors, a = .82; type of plan factors, a = .74; short- and long-range plans factors, a = .68. A pilot study was also conducted, and recommended improvements were incorporated in the final research instrument.
Results
Data from the survey instrument showed that 75.7% of the responding athletic departments have developed a vision statement, and more than 90% have developed a mission statement, conducted a SWOT (strengths, weaknesses, opportunities, threats) analysis of the internal and external environment, and developed long-range and short-range plans (Table 1). In addition, 73% of the surveyed athletic departments reported that they evaluate the performance of their planning process, while 78.4% reported that they evaluate the performance of the athletic department.
Table 1
Activities Included in Surveyed Athletic Departments’ Current Planning Processes
Item | Frequency | Percentage |
---|---|---|
Vision statement | ||
Yes | 28 | 75.7 |
No | 9 | 24.3 |
Mission statement | ||
Yes | 35 | 94.6 |
No | 2 | 5.4 |
Evaluation of strengths and weaknesses | ||
Yes | 34 | 91.9 |
No | 3 | 8.1 |
Evaluations of opportunities and threats | ||
Yes | 34 | 91.9 |
No | 3 | 8.1 |
Formulation of goals and objectives | ||
Yes | 35 | 94.6 |
No | 2 | 5.4 |
Formulation of long-range plans | ||
Yes | 35 | 94.6 |
No | 2 | 5.4 |
Formulation of short-range plans | ||
Yes | 35 | 94.6 |
No | 2 | 5.4 |
Formulation of planning process | ||
Yes | 27 | 73 |
No | 10 | 27 |
Performance Evaluation | ||
Yes | 29 | 78.4 |
No | 8 | 21.6 |
However, the percentage fitting all three criteria specified to indicate authentic strategic planning was smaller, only 59.5% (Table 2). The three criteria are (a) the formalization of long-range written plans; (b) the assessment of the external and internal environments; and (c) the establishment of strategies based on a departmental mission and objectives. The remaining 40.5% of the surveyed athletic departments were identified as nonstrategic planners not meeting the three criteria, although they may have indicated that they did pursue some components of the strategic planning process. Athletic departments in the nonstrategic planner group were excluded from the present analysis, because their planning endeavors represented the use of only short-range written plans and budgets, for the current fiscal period; or the use of only unwritten short-range plans maintained in an administrator’s memory (intuitive planners); or no use of measurable planning procedures at all.
Table 2
Surveyed Athletic Departments’ Level of Planning
Type of Plan Used | Frequency | Percentage |
---|---|---|
Structured long-range plan | 22 | 59.5 |
Operational plan | 11 | 29.7 |
Intuitive plan | 3 | 8.1 |
Unstructured plan | 1 | 2.7 |
The study found that at least 50% of the responding athletic departments reported that they weighed three external factors—competition, community opinion, and government legislation—to a “very great or great” extent when formulating their plans (Table 3). In addition, at least 78.3% of the responding athletic departments reported that they weighed three internal factors—financial performance, adequacy of facilities, and department staff performance—to a “very great or great” extent when formulating plans (Table 4). The study also found that at least 75.7% of the responding departments considered financial plans and human resource plans to a “very great or great” extent during their planning activities (Table 5).
Table 3
Frequency and (Percentage) of External Factors Considered to Three Different Extents by Athletic Departments During Plan Formulation, in Descending Order of Consideration
External Factor | Very Little or Little | Some | Very Great or Great |
---|---|---|---|
Competition | 4(10.8) | 10(27.0) | 23(62.1) |
Community opinion | 7(19.0) | 12(32.4) | 18(48.6) |
Government legislation | 10(27.0) | 9(24.3) | 18(48.6) |
Economic/tax | 10(27.0) | 12(32.4) | 15(40.5) |
BUSA trends | 10(27.0) | 13(35.1) | 14(37.8) |
Demographic trends | 4(10.8) | 20(54.1) | 13(35.1) |
Political trends | 17(47.9) | 14(37.8) | 6(16.2) |
Spectators | 22(59.4) | 14(37.8) | 1(2.8) |
aCorresponding Likert-type scale self-measures: 1 (very little), 2 (little), 3 (some), 4 (great), 5 (very great).
Table 4
Frequency and (Percentage) of Internal Factors Considered to Three Different Extents by Athletic Departments During Planning Process, in Descending Order of Consideration
Internal Factor | Very Little or Little | Some | Very Great or Great |
---|---|---|---|
Financial performance | – | 2(5.4) | 35(94.6) |
Adequacy of facilities | 1(2.7) | 3(8.1) | 33(89.2) |
Staff performance | 3(8.1) | 5(13.5) | 29(78.3) |
Athletic performance | 4(10.8) | 12(32.4) | 21(56.7) |
Coaches’ opinion | 6(16.2) | 16(43.2) | 15(40.5) |
aCorresponding Likert-type scale self-measures: 1 (very little), 2 (little), 3 (some), 4 (great), 5 (very great).
Table 5
Frequency and (Percentage) for Management Factors Incorporated to Three Different Extents by Athletic Departments During Planning Activities, in Descending Order of Consideration
Management Factor | Very Little or Little | Some | Very Great or Great |
---|---|---|---|
Financial plan | 2(5.4) | 3(8.1) | 32(86.5) |
Human resource plan | 3(8.1) | 6(16.2) | 28(75.7) |
Facilities master plan | 2(5.4) | 10(27.0) | 25(67.5) |
Marketing plan | 9(24.3) | 11(29.7) | 17(45.9) |
Contingency plan | 17(45.9) | 13(35.1) | 7(18.9) |
aCorresponding Likert-type scale self-measures: 1 (very little), 2 (little), 3 (some), 4 (great), 5 (very great).
What are the key factors that discourage UK university athletic departments from engaging in strategic planning activities? Insufficient financial resources and time were identified by this study as factors that, to a “very great or great” extent, discourage 35% or more of the athletic departments from engaging in strategic planning activities.
Table 6
Frequency and (Percentage) for Factors Discouraging Athletic Departments from Strategic Planning, to Three Different Extents (in Descending Order of Influence)
Discouraging Factor | Very Little or Little | Some | Very Great or Great |
---|---|---|---|
Insufficient financial resources | 8(21.6) | 12(32.4) | 17(45.9) |
Insufficient time | 15(40.5) | 9(24.3) | 13(35.1) |
Insufficient training in planning | 20(54.0) | 12(32.4) | 5(13.5) |
Inadequate communication | 23(62.1) | 9(24.3) | 5(13.5) |
Staff’s resistance | 27(72.9) | 5(13.5) | 5(13.5) |
Lack of a planning policy | 27(72.9) | 5(13.5) | 5(13.5) |
Planning is not valued | 30(81.1) | 5(13.5) | 2(5.4) |
aCorresponding Likert-type scale self-measures: 1 (very little), 2 (little), 3 (some), 4 (great), 5 (very great).
Both hypotheses tested by the study were supported. Chi-square analysis X2(2, N=37)=2,811, p=0,245 showed that the extent to which an athletic department uses strategic planning is indeed independent of the size of the university. No significant relationship was found between the extent of strategic planning and university size (p = 0.57). Similarly, Chi-square analysis X2(3, N=37)=7,192, p=0,66 showed that the extent to which strategic planning is used by athletic departments is independent of their athletic directors’ backgrounds. No significant relationship was found between the extent of strategic planning and the background of athletic directors (p = 0.35).
Discussion, Implications, Recommendations
In this study of member institutions in the British Universities Sports Association, more than 75% of responding athletic departments indicated that they were involved in such strategic planning activities as developing a vision statement, developing a mission statement, formulating goals and objectives, establishing short- and long-term strategies, and developing plan and performance evaluation procedures. However, only 59.5% of the sample could be classified as practicing authentic strategic planning, defined here as participation in three specific things: the formalizing of long-range written plans, the assessing of the external and internal environments, and the establishing of strategies based on departmental mission and objectives. With more than 40% of the athletic departments practicing either nonstrategic planning or no planning, the need clearly exists to outline formal strategic-planning committees, processes, and systems for these departments’ better management.
According to Harvey (1982), a strategic plan is developed in order to gain or maintain a position of advantage relative to one’s competitors. Following the development of the strategic plan, its implementation becomes critical. The present study did not rigorously assess such implementation, and it remains to be determined whether athletic departments that can be identified as strategic planners are also actual implementers of their strategic plans. Such knowledge would be useful for decisions about committing athletic department resources to reach desired objectives.
The present study did provide evidence that whether and how much a university athletic department engages in strategic planning is unrelated to the size of the university. David (1989) noted that small firms pursue a less formal kind of strategic planning than large firms do. Despite this study’s first hypothesis, then, it was a surprise to this author that large universities’ and small ones’ athletic departments generally pursue strategic planning and a strategic approach to decision making in rather similar fashion.
Evidence was also provided by the study suggesting that the extent of strategic planning carried out by the athletic departments is unrelated to athletic directors’ backgrounds. Some of the athletic directors who participated in the survey had private-sector work experience. Nevertheless, either knowledge of and experience with strategic planning was not transferred to the university environment, or such knowledge and experience had not been a meaningful part of the private-sector background. Failure to transfer knowledge and experience may, however, be attributable in some cases to athletic department decision makers’ lack of access to financial and human resources. Alternatively, it could be that some university administrations do not encourage formulation and implementation of strategic plans.
The findings presented above have implications for the development and use of the strategic planning process in athletic departments. First, since the most significant constraints on strategic planning, according to the survey, were insufficient financial resources and insufficient time, athletic departments need to recognize, and then to remove, these constraints if they are to enjoy the benefits of an implemented strategic plan. Second, if athletic departments are to respond to the scientific literature by accepting strategic planning as an important administrative responsibility, then departments must address a third significant constraint, insufficient training and experience in strategic planning procedures. They can do so by providing staff with strategic-planning educational opportunities. Programs meant to develop skills like human relations, analytical thinking, time management, and participatory decision making can greatly assist athletic departments in preparing to carry out the strategic planning process. In taking these two steps, athletic departments will encourage the perception of strategic planning as one of the primary responsibilities of management—not an auxiliary task.
The literature about strategic planning in intercollegiate athletics remains limited for now, even though interest in the topic appears to be growing. Further studies are needed, and the present study’s findings indicate that some of these future investigations might take up the following:
Three to five years from now, a follow-up study with the same sample of BUSA member institutions should seek out any changes in the way the university athletic departments are using the strategic planning process.
Also, further investigation with the same population might assess the extent of strategic planning from a qualitative perspective, one concerned with data from interviews, observation, and the study of official documents. Through observation and interview, for example, such issues as the membership of a strategic planning committee, the type of data applied to strategic planning, the methods by which those data were obtained, the leadership behavior involved in strategic planning, and resistance encountered to strategic planning could all be addressed in detail. Through study of official documents, researchers might gauge the extent to which documents reflect strategic issues like the assessment of external and internal environments.
Another useful investigation might be the evaluation of the relationship between how extensive the strategic planning activities of an athletic department are and the financial performance or productivity of the department. Such a study would require establishing appropriate measures of financial performance or productivity. An example would be the percentage of self-generated, not university-provided, revenue (e.g., sponsorships, concessions, ticket sales); or alternatively, the national performance of the total athletic program provided by the department.
Finally, future research should be undertaken to establish a valid, reliable strategic planning survey instrument for use in any United Kingdom university athletic department to evaluate the quantity and quality of its ongoing strategic planning activities, as well as the quality of the implementation of strategic plans it has previously developed.
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Impact of Cold Water Immersion on 5km Racing Performance
Abstract
Much effort over the past 50 years has been devoted to research on training, but little is known about recovery after intense running efforts. Insufficient recovery impedes training and performance. Anecdotal evidence suggests that cold water immersion immediately following intense distance running efforts aids in next day performance perhaps by decreasing injury or increasing recovery. The purpose of this study was to compare 5 km racing performance after 24 hrs with and without cold water immersion. Twelve well-trained runners (9 males, 3 females) completed successive (within 24 hours) 5 km performance trials on two separate occasions. Immediately following the first baseline 5 km trial, runners were treated with ice water immersion for 12 minutes followed by 24 hrs of passive recovery (ICE). Another session involved two 5 km time trials: a baseline trial and another trial after 24 hrs of passive recovery (CON). Treatments occurred in a counterbalanced order and were separated by 6-7 days of normal training. ICE (20:08 ± 2.0 min) was not significantly different (p = 0.09) from baseline (19:59 ± 2.0 min). CON (19:59 ± 1.9 min) was significantly (p = 0.03) slower than baseline (19:49 ± 1.9 min). ICE heart rate (175.3 ± 7.6 b/min) was significantly (p = 0.02) less than baseline (178.3 ± 9.8 b/min), yet CON heart rate (177.3 ± 6.3 b/min) was the same as baseline (177.3 ± 7.3 b/min). ICE rate of perceived exertion (19.2 + 1.0) was significantly less (p = 0.03) than baseline (19.8 ± 0.5) while CON rate of perceived exertion (19.5 ± 0.8) was not significantly different (p = 0.39) from baseline (19.6 ± 0.8). Seven individuals responded negatively to ICE running a mean 24.0 ± 13.9 seconds slower than baseline. Nine individuals responded negatively to CON by running a mean 17.4 ± 12.1 seconds slower than baseline. Three individuals responded positively to ICE running a mean 20.33 ± 6.7 seconds faster during second day performance. Three individuals responded positively to CON by running a mean 13.3 ± 6.8 seconds faster than baseline. In general, cold water immersion minutely reduced the decline of next day performance, yet individual variability existed. Efficacy of longer durations of cold water immersion impact after 48 hrs and on distances greater than 5 km appear to be individual and need to be further explored.
Key words: cryotherapy, ice water immersion, passive recovery, running
Introduction
Recovery from hard running efforts plays a vital role in determining when a runner can run at an intense level again (Fitzgerald, 2007). Hard training, followed by adequate recovery, allows the body to adapt to the unusual stress and become better accustomed and more prepared for the same stress, should it occur again (Fitzgerald, 2007; Sinclair, Olgesby, & Piepenberg, 2003). Balancing hard efforts with periods of rest is essential in improving performance during endurance efforts.
The recovery process from endurance efforts tends to revolve around repairing damaged muscle fibers and replenishing glycogen stores (Gomez et al., 2002; Nicholas et al., 1997). Methods proposed to enhance recovery, such as cold water immersion, potentially decrease swelling and the severity of delayed onset of muscle soreness (DOMS), which possibly benefits endurance (i.e. running) and anaerobic performance (Higdon, 1998; Vaile, Gill, & Blazevich, 2007).
Cold water immersion is a common practice among collegiate and professional athletes following intense physical efforts. Anecdotal evidence from several National Athletic Trainers’ Association (NATA) collegiate head athletic trainers suggests that cooling the legs after a hard training effort may benefit the next day’s performance. Popular running and athletic magazines (e.g., Runner’s World, Running Times, etc.) have continually suggested that applying cold water to the legs of a runner facilitates a better perceived feeling for the next run on the following day. Yet, despite its widespread use there is no scientific data supporting the notion that cooling the legs after a hard distance running effort will improve performance 24 hrs later.
The use of cold as a treatment is as ancient as the practice of medicine, dating back to Hippocrates (Stamford, 1996). The therapeutic use of cold is the most commonly used modality in the acute management of musculoskeletal injuries. Running is a catabolic process, with eccentric muscle contractions leading to muscle damage. Applying cold to an injured site decreases pain sensation, improves the metabolic rate of tissue, and allows uninjured tissue to survive a post-injury period of ischemia, or perhaps allows the tissue to be protected from the damaging enzymatic reactions that may accompany injury (Arnheim and Prentice, 1999; Merrick, Jutte, & Smith, 2003). The use of cryotherapy, between sets of “pulley exercises” (similar to a seated pulley row), decreased the feelings of fatigue of the arm and shoulder muscles of 10 male weight lifters (Verducci, 2000), while other cryotherapy research involving recovery from intense anaerobic efforts has yielded equivocal results (Barnett, 2006; Cheung, Hume, & Maxwell, 2003; Crowe, O’Connor, & Rudd, 2007; Howatson, Gaze, & Van Someren, 2005; Howatson and Van Someren, 2003; Isabell et al., 1992; Paddon-Jones and Quigley, 1997; Sellwood et al., 2007; Vaile, Gill, & Blazevich, 2007; Vaile et al., 2008; Yackzan, Adams, and Francis, 1984). However, methods of cryotherapy effective for enhancing recovery from distance running efforts have not been examined.
Long duration or high intensity running contributes to muscle cell damage (Fitzgerald, 2007; Noakes, 2003). Edema, a by-product of muscle damage can cause reduced range of joint motion. Because cryotherapy has been shown to decrease inflammation (Dolan et al., 1997; O’Conner and Wilder, 2001), it is logical to assume that this treatment may reduce the severity of DOMS. Less pain may permit an athlete to push themselves harder potentially improving performance. Despite the fact that previous research has shown that 24 hrs alone is not sufficient recovery from 5 km running performance (Bosak, Bishop, & Green, 2008), it might be possible that combining cold water immersion with 24 hrs of recovery could potentially hasten the recovery process. Therefore, the purpose of this study was to compare 5 km racing performance after 24 hrs of passive recovery with and without cold water immersion.
Methods
Participants:
Participants for the study were 12 well trained male (n = 9) and female (n = 3) runners currently engaged in rigorous training. Runners from the local road running and track club, local triathlon competitors, as well as former competitive high school and college runners, were recruited by word of mouth. Participant inclusion criteria included the following: 1) Subjects must have been currently involved in a distance running training program; 2) Their 5 km times previously run had to be at least 16-22 min for male runners or 18-24 min for female runners; 3) They had to be currently averaging at least 20-30 miles (running) per week; 4) They had to have previously completed at least five 5 km road or track races; 5) They had to have a VO2max of at least 45 ml/kg/min (females) or 55 ml/kg/min (males); and 6) They had to provide sufficient data (from running history questionnaires, physical activity readiness questionnaires, and health readiness questionnaires) that reflected good health.
Participants completed a short questionnaire regarding their running background, racing history, and current training mileage. All participants were volunteers and signed a written informed consent outlining requirements as well as potential risks and benefits resulting from participating.
Procedures:
Participants were assessed for age, height, body weight, and body fat percentage using a 3-site skinfold technique (Brozek and Hanschel, 1961; Pollock, Schmidt, & Jackson, 1980). Participants were fitted with a Polar heart rate monitor, and then completed a graded exercise test (GXT) to exhaustion lasting approximately 12-18 min. VO2max, heart rate (HR), and ratings of perceived exertion (RPE) were collected every minute.
All GXTs were completed on a Quinton 640 motorized treadmill. The test began with a 2 min warm-up at 2.5 mph. Speed was increased to 5 mph for 2 min, followed by 2 min at 6 mph, 2 min at 7 mph, and 2 min at 7.5 mph. At this point, incline was increased two percent every 2 min thereafter until the participant reached volitional exhaustion (i.e. they felt like they could no longer continue running at the required speed and grade). Once the participant reached volitional exhaustion, they were instructed to cool down until they felt recovered.
Approximately five days later, participants performed their first 5 km race (performance trial) between the hours of 6:30 am to 7:30 am. The time of day for each performance trial was consistent throughout the entire study. All performance trials were completed on a flat hard-surfaced 0.73 mile loop. Prior to each trial, participants completed visual analog scales, before and after a 1.5 mile warm-up run, regarding their feelings of fatigue and soreness within local muscle groups (quadriceps, hamstrings, gastrocnemius), and for lower and total body muscle groups. Visual analog scales were 15 cm lines, where participants placed an “X” on the line indicating their feelings (with 0 = no fatigue or soreness and 15 = extreme fatigue or soreness). The focus of the visual analog scales was to determine if participants felt the same before the start of every time trial. Participants were also required to rate their perceived exertion (RPE) after the warm-up and prior to the start of each 5 km, during each trial, and at the end of each performance trial to determine if feelings of effort remained consistent between each trial, as well as during each lap and at the end of each trial.
Runners underwent a 1.5 mile warm-up prior to every 5 km performance trial (Kaufmann and Ware, 1977). Participants completed four 5 km performance trials within nine days. Two 5 km performance trials (baseline and CON) were separated by 24 hrs of passive recovery. Passive recovery was deemed as no exercise or extensive physical activity during the allotted recovery hours. Two 5 km performance trials (baseline and ICE) were also separated by 24 hrs of passive recovery, but with 12 minutes of 15.5ºC water immersion immediately following the baseline trial. The two sessions of 5 km performance trials were counterbalanced and were separated by 6-7 days of normal training. Each trial session therefore, had a separate baseline preceded by 24 hrs of passive recovery.
Ideal cryotherapeutic water temperature has not been determined, yet various head collegiate athletic trainers prefer that the water temperature does not dip below 13ºC (55.5ºF) since many people find water temperatures below 13ºC uncomfortable (O’Connor and Wilder, 2001). Also, the duration of ice baths generally lasts 10-15 minutes and is usually applied immediately after a hard training session (Crowe, O’Connor, & Rudd, 2007; Schniepp et al., 2002; Vaile et al., 2008). Hence, in this study, 15.5ºC (60ºF) was the temperature for the cold water and the athletes were immersed for 12 min.
During each time trial, average heart rate and ending RPE were recorded in order to determine if effort for each 5 km was consistent. All participants competed with runners of similar ability to simulate race day and hard training conditions, while verbal encouragement was provided often and equally to each participant. At the end of every performance trial, each runner was instructed to complete a low intensity 1.5 mile cool-down. Each total testing trial required approximately 60 min.
Statistical Analysis:
Basic descriptive statistics were computed. Repeated measures of analysis of variance (ANOVA) were employed for making comparisons between CON and baseline and PAS and baseline performance trials for the following variables: finishing times, HR, RPE, and fatigue or soreness responses. All statistical comparisons were made at an a priori p < .05 level of significance. Data were expressed as group mean + standard deviation and individual results.
In order to evaluate individual responses, data from each participant’s first run was compared to the second run using a paired T-test. The least significance group mean difference (p < 0.05) was determined and group mean finishing time was adjusted to determine the amount of change in seconds needed for significance to occur. The time change between the first trial run and the adjusted trial run baseline was divided by the first trial run and expressed as mean number of seconds or percent for both the ICE (9.3 seconds or 0.8%) and CON (9.5 seconds or 0.8%) trials. The percent values were applied to each individual baseline time in order to determine how many seconds (positive or negative) the second performance trial time had to be over or under the first performance trial, in both CON and ICE conditions, to quantify as a response. Participants were then labeled as non-responders, positive-responders (faster after treatment), and negative-responders (slower after treatment).
Results
Descriptive characteristics are found in Table 1. The participants were between the ages of 18 and 35 (the majority of subjects were between ages 20-28) years. All participants were trained runners or triathletes (where running was their specialty event).
Mean finishing times, HR, and RPE for CON and ICE trials are found in Table 2. CON was significantly (p = 0.03) slower (10 seconds) than baseline, where as ICE was not significantly different (p = 0.09) from baseline. No significant differences were found between CON HR vs. baseline, but ICE HR was significantly (p = 0.01) less than baseline. No significant differences (p = 0.39) were found between CON RPE and baseline, yet ICE RPE was significantly (p = 0.03) less than baseline.
Figure 1 shows individual changes in finishing times for all CON and ICE performance trials. To be considered a non-responder, the individual time change had to fall within 0.8% of baseline performance for ICE and CON. Positive and negative responders (Table 3) were identified when individual time change was greater than 0.8% for CON and ICE trials, with a positive responder being one whose second performance trial time improved (expressed as a negative value) and a negative responder being one whose second performance trial time slowed (expressed as a positive value).
Seven individuals responded negatively to ICE by running a mean 24.0 ± 13.9 seconds slower during the second trial (Table 3). Three individuals responded positively to ICE by running a mean 20.3 ± 6.7 seconds faster than baseline. Two individuals were considered non-responders to ICE with a mean time change of 2.5 ± 0.7secs.
Seven individuals responded negatively to CON by running a mean 20.6 ± 9.0 seconds slower than baseline (Table 3). Three individuals responded positively to CON by running a mean 13.3 ± 6.8 seconds faster than baseline. Two individuals were non-responders to the CON trials with a mean time change of 6.5 ± 0.7 seconds. It is important to note that the seven individuals who were negative responders to ICE were not the same seven participants who responded negatively to CON. Also, the three participants who responded positively to ICE were not the same three individuals who responded positively to CON. Finally, the non-responders to ICE were not the same non-responders to CON.
Soreness and fatigue scores (Table 4) on the pre-and post-warm-up fatigue or soreness visual analog scales were not significantly different between CON and baseline versus ICE and baseline.
Discussion
The effects of cold-water immersion on recovery and next day performance in 5 km racing have not been previously evaluated. Therefore, the primary purpose of this study was to compare 5 km running performance after 24 hrs of passive recovery with and without cold water immersion. This study appeared to indicate that cold water immersion does not dramatically help performance (regarding the group of runners as a whole) during second day 5 km trials.
Twenty-four hours of passive recovery may allow for normalization of muscle and liver glycogen, yet muscle function and performance measures may not be fully recovered (Foss and Keteyian, 1998). Hence, 24 hrs of recovery, by itself, may not be sufficient to allow for a return to optimal performance (Bosak, Bishop, & Green, 2008). When racing (e.g., a 5 km distance) on consecutive days, race times may be slower on the second day due to magnified perception of pain and impaired muscle function associated with DOMS (Brown and Henderson, 2002; Fitzgerald, 2007; Galloway, 1984). Since cold water immersion may speed up the recovery process (Arnheim and Prentice, 1999; Vaile et al., 2008) it is logical to assume that cold water immersion immediately after a 5 km race or workout could attenuate soreness potentially minimizing performance decrements on successive days.
There were no significant (p = 0.09) differences in 5 km performance between ICE and baseline, indicating that mean performance during ICE was not significantly slower (9 seconds) than baseline (refer to Table 2). However, CON performance was significantly (p = 0.03) slower (10 seconds) than baseline. Hence, due to significant differences occurring between ICE and baseline, it appears that cold water immersion slightly attenuated the rate of decline on successive 5 km time trial performance. However, the time difference between CON and baseline versus ICE and baseline was a mere second. Therefore, from a practical standpoint, cold water immersion was no more beneficial than CON on successive 5 km performance.
Despite the minimal differences between CON (10 seconds) and ICE (9 seconds) trials regarding mean time change, it is important to focus on the effects of cold water immersion on individual runners (Figure 1). Because some runners ran slower during successive performance trials while other runners ran faster, the mean finishing times do not necessarily give a true impression of the benefits or liabilities of the specific treatments involved in this study. As it is with most ergogenic aids, individual variability suggests what works (e.g., ice) for one person may not work the same for another person. It is possible that the treatment may often not have an effect at all, as similar to what occurred with several prior anaerobic performance studies (Barnett, 2006; Cheung, Hume, & Maxwell, 2003; Crowe, O’Connor, & Rudd, 2007; Howatson, Gaze, & Van Someren, 2005; Howatson and Van Someren, 2003; Isabell et al., 1992; Paddon-Jones and Quigley, 1997; Sellwood et al., 2007; Vaile et al., 2008), which was also the case in this study as two individuals were considered non-responders to ICE with a mean time change of 2.5 ± 0.7 seconds between ICE and baseline, while two other participants were non-responders to CON with a mean time change of 6.5 ± 0.7 seconds between CON and baseline.
Three individuals responded positively (Table 3) to ICE, running a mean 20.33 ± 6.7 seconds faster, indicating that cold water immersion may have actually allowed these individuals to run faster on the second day. However, 3 different individuals responded positively to CON, running a mean 13.3 ± 6.8 seconds faster than baseline. The mechanism by which cold water immersion aids in recovery, from endurance performance, remains somewhat unclear and equivocal (Schniepp et al., 2002; Vaile et al., 2008). Yet, several runners who did run faster during ICE trial, verbally indicated that prior to the second trial, their legs felt better (regarding fatigue and soreness) than they had prior to CON. Thus, the notion of feeling better may have allowed the runners to perform faster.
Seven individuals responded negatively (Table 3) to ICE, running a mean 24.0 ± 13.9 seconds slower. However, they were not the same seven individuals who responded negatively to CON, who ran an average of 20.6 ± 9.0 seconds slower than baseline. As was the case with Schniepp et al. (2002) endurance cycling recovery study and various anaerobic performance studies (Crowe, O’Connor, & Rudd, 2007; Sellwood et al., 2002; Vaile et al., 2008; Yackzan, Adams, & Francis, 1984), it appears ICE may have had a more negative effect, for these individuals, on second day performance compared to CON.
Three individuals responded positively to CON running a mean 13.3 ± 6.8 seconds faster during the second day performance trial. It is unclear why some participants ran faster during CON. There were no consistent patterns of HR and increased or decreased performance with all participants during all CON and ICE trials. As a group, no significant differences were found between CON vs. baseline, regarding HR (p = 1.00) and RPE (p = 0.39), despite significant differences (p = 0.04) occurring in mean finishing time. However, mean finishing times for ICE were similar, yet significant differences were found between ICE vs. baseline for both HR (p = 0.01) and RPE (p = 0.03). Hence, there does not appear to be a consistent pattern between performance times and HR and/or RPE.
It can be assumed that a lower HR may be associated with slower times, since HR and intensity levels tend to be linearly related. However, only participants 1, 5, and 6 consistently ran slower during both CON and ICE second day performances with lower HR during both trials. During the ICE trials, only participants 1, 5, 6, and 9 ran slower and had a lower HR. During the CON trials, only 1, 3, 5, 6, ran slower and had a lower HR. Also, soreness and fatigue scores (Table 4) on the pre and post warm-up fatigue or soreness visual analog scales were not significantly different between CON and baseline versus ICE and baseline. These results indicate that all runners tended to feel the same prior to each second day 5 km trial. Therefore, since inconsistencies exist between HR and performance trials and no significant differences were found regarding RPE and fatigue or soreness visual analog scales, it is assumed that each participant completed each trial with similar effort.
Conclusion
The current findings of this study suggest that cold water immersion does not sufficiently enhance recovery (specifically regarding the group of runners as a whole). However, three runners benefited from cold water immersion. Hence, what works for one person may not work for another person. Thus, it may be beneficial for runners to undergo this protocol in order to see which type of recovery method improves their recovery process. Secondly, the results of the study may give credence to some runners’ perception of feeling better due to cold water immersion after a hard running effort. However, one should remember that individual variability existed in response to treatment (ice immersion) within the current study. Future research is needed to see if a greater length of time or slightly lower water temperature in cold water immersion will decrease the rate of decline more or if the effects of cold water immersion are even more predominant on second day performance of distances greater than 5 km.
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Appendices
Implementing a Breathing Technique to Manage Performance Anxiety in Softball
Submitted by: Linda Garza, MS – Purdue University and Sally J. Ford, PhD – Texas Woman’s University
Abstract
An intervention strategy was developed, implemented, and evaluated that aimed at minimizing performance anxiety. The goal was to guide NCAA Division I softball athletes in using a breathing technique that, by contributing to the management of performance anxiety, would help each athlete reach full potential on the softball field. The strategy focused on the effects of the breathing technique on the participants’ heart rates, in relation to daily anxiety events; a heart rate monitor and anxiety logs were used to obtain data. All 4 of the athletes studied indicated improvement at various stages in the program.
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Is That a Real LeBron Ball? RFID and Sports Memorabilia
Submitted by: David C. Wyld – Southeastern Louisiana University
Abstract
The sports memorabilia marketplace today is a multibillion-dollar, global market. However, it is fraught with hazards, due to the large percentage of counterfeit memorabilia, which some estimates peg at 90% of all items on the market. This article overviews the sports memorabilia market and the growing problem of counterfeit items. Then, it examines the prospect for radio frequency identification (RFID) to be used to provide a verifiable chain of custody for articles of sports memorabilia – from the point the item is signed through all subsequent transfers. The article concludes with an analysis of the implications of the introduction of such track and trace authentication technology into this fragmented marketplace and the benefits for all parties involved in sports collectibles.
Keywords: radio frequency identification, chain of custody, authentication, sports memorabilia
Introduction
Autograph seekers. They are a part of every professional – and often amateur – athlete’s life. They are a fixture at sports teams’ training camps, host hotels and stadiums, and anywhere these signature collectors know that athletes will have to pass through on their way to or from an event. They also are a part of the well-known athlete’s every move, as autograph seekers can make it uncomfortable, even impossible, for athletes and their families to enjoy a meal in public or a trip to an amusement park. Many of these autograph hunters are kids, looking to get that one autograph of the professional baseball or football star they admire–the one whose poster they have hanging over their bed. Some of the signature hounds are adults, looking to have literally any athlete they can find sign any team item such as a ball, a bat, a helmet, a jersey, a game program, or so forth, in order to turn an ordinary item into a collectible.
The motivation of many of these autograph seekers is indeed innocent, hoping to have a memento of their favorite athlete or sports team for their wall or mantle. The kid who admires his or her favorite sports star, whether it’s Tiger Woods, Brett Favre, Kobe Bryant, Alex Rodriguez, or David Beckham, can have a lasting memory not just from the signed item but from their brief encounter with a sports legend. All too often however, the motive for the autograph seeker is money. Indeed, the chance is there to cash-in on an athlete’s celebrity, and the players and their teams know it. The worst of the lot are grown-ups who hire children to seek out star’s autographs on a paid basis; they work on the premise that the “cute kid factor” might entice the sports star to stop and sign an item for a 9-year-old child that they wouldn’t for a 40-year-old man. As Baseball Hall of Famer Robin Yount commented, “There is money to be made out there on autographs, (and) you see more people doing it these days for that reason — the business end of it” (Olson, 2006, n.p.).
Yet, the real truth of the matter is that while a signed article can be a point of personal pride, even perhaps a family heirloom, the actual value of the item to knowledgeable sports memorabilia collectors is very limited. That is because of the need to provide verifiable proof of the autographed item’s authenticity. Yes, you may have been at the New Orleans Saints’ training camp in Jackson, Mississippi (as my sons and I were this past summer) and personally witnessed star running back Reggie Bush autograph a football. However, if you were to want to sell the ball, as opposed to displaying it on a shelf in your son’s room, there’s no irrefutable proof that could assure the first buyer, let alone subsequent buyers in the future, as to the validity of Bush’s signature. Not that this stops autograph seekers from trying day after day to get that elusive personalization of basketballs by LeBron James, footballs by Peyton Manning, baseballs by Derek Jeter, and item after item by a myriad of stars. So disruptive to athlete’s lives are some autograph hounds that teams today commonly limit access to their players, not just out of concern for their economic well-being but for their physical safety as well (Maske and Lee, 2007). And, some athletes, such as Michael Jordan, make it publicly known that they will not sign an autograph except through the special events (and often private signing days) for agencies they have contracted with to represent them in what has become an increasingly lucrative market for athletes, supplementing, or even exceeding, what they make on the field by simply signing their names (Johns, n.d.; Fisher, 2000).
The sports memorabilia market today is a global marketplace, estimated to generate revenues in excess of $5 billion annually (Friess, 2007). Items of sports memorabilia are sold in a variety of venues, including physical and online stores, shows and auctions, and in private sales (Smith, n.d.). Small, independent “mom and pop” sports memorabilia stores were once a staple of strip malls across America. According to industry observers, the number of such stores has plummeted from approximately 4,700 a decade ago to just over a thousand today (Keteyian, 2006). Much of this decline can be traced to the shifting of buying and selling sports memorabilia to eBay and other major online auction sites, much as has occurred with other collectibles, such as coins, stamps and antique items (National Auctioneers Association, 2008). However, the ease of access and widening of the marketplace has fostered an explosion of online memorabilia sales. One can see evidence of this by punching in any well-known athlete’s name on eBay, and whether you search for David Beckham, Muhammad Ali, Tiger Woods, or even a lesser known star, you will come-up with dozens, even hundreds, of autographed items up for sale at any given time.
However, the move to greater online sales has only worsened the problem with counterfeit sports memorabilia (Van Riper, 2007). Indeed, it is a market unlike any other, due to the giant presence of counterfeit items. In fact, one law enforcement official described the sports memorabilia market today as being “like the Wild, Wild West” (Keteyian, 2006). Market analyst Havoscope (2008) has concluded that over half of the sports memorabilia market is comprised of counterfeit items. The official estimate from the Federal Bureau of Investigation (FBI) is that 70% of all signed sports collectibles on the market in the U.S. are counterfeit (Fisher, 2000); forged signatures on items which themselves may or may not be what they are purported to be (after all, even official merchandise from sports leagues and special events, such as Super Bowls, World Cups, or World Series, can be faked). Industry observers believe the true figure to be even higher, ranging to upwards of 90% of all sports collectibles (Prova Group, 2006)! Thus, this is perhaps the ultimate example of a caveat emptor (buyer beware) market.
Anyone can buy a piece of sports memorabilia to hang on the wall or show in a display case, and, if you’re happy with the price you paid for it, all the better. However, unless you personally witnessed the athlete signing the football or the baseball bat, the odds are that the item is not worth any more than what you would have paid for an unsigned version at a local sporting goods store. Thus, there is a great need to have a solution that can assure buyers and sellers of the authenticity of an item, not just presently, but into the future. As we will examine, the certification process today itself is problematic and only contributes to the problem.
For the first time, the advent of radio frequency identification (RFID) technology provides an opportunity for the sports memorabilia marketplace to have the ability for buyers and sellers alike to rely upon a readily accessible and verifiable “chain of custody” for autographed items from the time they are signed by the athlete through all subsequent sales and transfers. In doing so, trust can be built into what has historically been an untrustworthy marketplace, assuring confidence and supporting the genuineness and value of items of sports memorabilia. The author presents both an overview of the sports memorabilia marketplace and RFID technology and follows up with a look at how RFID is being used today to authenticate and to track autographed items of all forms. The article concludes with a look ahead at the implications of the introduction of this new technology and a discussion of what lies ahead.
The Sports Memorabilia Market
A baseball is just a ball until it is signed by a star player. A jersey is just a big shirt until it is worn by an all-star. Then, such items are worth a lot of money, right? Oh, that it were that simple. The terms sports memorabilia and sports collectibles are all too often used interchangeably in the marketplace. According to the recent publication, A Comprehensive Guide to Collecting Sports Memorabilia, the two terms can be differentiated in the following manner: “Photos, cards, jerseys or related sports equipment that have been signed by an athlete are considered memorabilia when that signature has been certified by a reputable distributor. Replica and authentic sports products that are unsigned, or are signed but not authenticated, are considered collectibles” (SportsMemorabilia.com, 2008, n.p., emphasis in the original).
The sports memorabilia market can be segmented into two very distinct segments: trusted sources and other. Trusted sources include both sports memorabilia shows and sports marketing agencies (Fisher, 2000). In the former category, there are a growing number of such events, where athletes are available, generally on a paid basis, to sign a limited number of items, both brought in by fans and bought at the show. At these shows, items are signed, with witnesses present and able to authenticate the athlete’s signature on a certificate of authenticity (COA). This certification is what raises the status and value of an item from being a sports collectible to becoming an item of sports memorabilia (Branton, 2008). The second trusted source is the sports agencies that contract with athletes to be exclusive purveyors of their autographed merchandise. In the United States, the market leaders are companies such as the following:
- ALL Authentic (http://www.allauthentic.com/)
- Mounted Memories (http://www.mountedmemories.com/)
- Steiner Sports (http://www.steinersports.com/)
- Upper Deck (http://www.upperdeck.com/) (Johns, n.d.).
Take Upper Deck for instance. This sports marketing agency has multi-million dollar contracts with current and former athletes from a whole host of sports, including basketball (NBA players Michael Jordan, LeBron James, Kobe Bryant, Dwight Howard, Kareem Abdul-Jabbar, and Magic Johnson), baseball (Albert Pujols, Ken Griffey Jr., Cal Ripken Jr., Sandy Koufax, Nolan Ryan, and Stan Musial), football (Peyton Manning, Tom Brady, Tony Romo, Troy Aikman, John Elway, and Joe Montana), and golf (Tiger Woods and Jack Nicklaus). Upper Deck is a market leader not just because of its status as the exclusive retailer for these star athletes of today and yesterday, but also for its 5-step certification process that stamps the item with a unique hologram and provides the owner with a certificate of authenticity and registration with the Upper Deck database. The company is even using with what it calls its PenCam™ technology, which the company had the misfortune to launch on September 11, 2001 (Henninger, 2002). The PenCam provides further authentication assurance by providing a video capture from–you guessed it–a pen equipped with a tiny video camera that captures the actual signature of the athlete on the item as it is being rendered, which is then recorded and accessible on the company’s database (The Upper Deck Company, 2008).
Items from trusted agencies do command premium prices, due to the fact that buyers and sellers alike have a very reliable chain of custody for their items of sports memorabilia. However, the vast majority of the sports memorabilia market is a murky, “other” place. In most cases, both offline and online, it is a very untrustworthy market, filled with intentionally counterfeited signed sports paraphernalia and fake items that are being bought and sold by mostly unknowing participants (SportsMemorabilia.com, 2008).
The entire sports memorabilia market in the U.S., and indeed around the world, is still reeling from the 2001 bust of a major fraud ring. In Operation Bullpen, the FBI arrested almost two dozen individuals, most of which served prison time for their involvement in the counterfeit sports memorabilia scheme. The enterprise, which operated across more than a dozen states, had expert forgers who could quickly produce entire lots of phony memorabilia. The 2001 raid yielded thousands of fraudulently signed baseballs, jerseys, helmets, photos, and other articles. The damage however, had already been done, and it continues to this day. In all, the FBI estimates that over $100 million in fake memorabilia was sold through the scheme, much of which is still on the market today, being traded by often-unsuspecting buyers and even sellers. The FBI found that not only could the forgers create knock-offs that could fool even the most knowledgeable sports memorabilia authenticator or collector, they uncovered that the criminals had turned the authentication process to their advantage. This is because the crooks were equally adept at falsifying the COAs and holograms put in place in the industry to assure the genuineness of the items (Nelson, 2006).
While 2001s Operation Bullpen was the largest fraud scheme uncovered in the sports memorabilia market to date, criminal arrests continue to plague the industry, with several cases reported in 2008 (Coen, 2008). The FBI estimates that such fraud makes for over a half a billion dollars in annual losses, impacting thousands of customers, and making it more difficult both for athletes to retain the value of their names and for legitimate firms to compete in a skeptical marketplace (Smith, n.d.; Johns, n.d.).
One of the major problem points for the whole memorabilia sales and trading process is the certificate of authenticity that accompanies an item. Ostensibly in place to provide a potential buyer with the assurance that the item he or she is considering purchasing is a genuine article, but today, the effect is almost the opposite. This is because of rampant fraud in the creation of these COAs. Today, there is no industry standard for certification process or for the paper COA itself. Thus, there are rampant problems with these documents. Some fraudulent memorabilia sellers create their own fake COAs to accompany their fake items (SportsMemorabilia.com, 2008; Smith, n.d.; Johns, n.d.). While there are several reputable third-party certification services, who will analyze an item and its history to determine its authenticity, there are also disreputable ones, known to certify, in the words of one law enforcement official, “almost anything” (Franks, 2006).
What is clearly needed today is a true chain of custody capability to authenticate items of sports memorabilia from the athlete’s signature through all future trades of the article. With the rampant fraud issues, which can only be exacerbated by both the high dollars attached to many athletes’ items and the accelerating technology that can be used to create both forged articles and proofs of authenticity, there is certainly a common interest for memorabilia collectors, athletes, sports marketing agencies, and the stores, shows and auctions (both online and offline) where the items are bought and sold to develop, for lack of a better term, a fool-proof solution. RFID presents the prospect for just such an incontrovertible chain of custody solution for this marketplace.
Radio Frequency Identification (RFID)
Conceptually, RFID is quite similar to the venerable bar code. Both are automatic identification technologies intended to provide rapid and reliable item identification and tracking capabilities. The primary difference between the two technologies is the way in which they read objects. With bar coding, the reading device scans a printed label with optical laser or imaging technology. However, with RFID, the reading device scans, or interrogates, a small electronic tag or label using radio frequency signals. The specific differences between bar code technology and RFID are summarized in Table 1. There are five primary advantages that RFID has over bar codes. These are as follows:
- Each RFID tag can have a unique code that ultimately allows every tagged item to be individually accounted for.
- RFID allows for information to be read by radio waves from a tag, without requiring line of sight scanning or human intervention.
- RFID allows for virtually simultaneous and instantaneous reading of multiple tags.
- RFID tags can hold far greater amounts of information, which can be updated.
- RFID tags are far more durable. (Wyld, 2005)
Table 1
RFID and Bar Codes Compared
Bar Code Technology | RFID Technology |
---|---|
Bar Codes require line of sight to be read | RFID tags can be read or updated without line of sight |
Bar Codes can only be read individually | Multiple RFID tags can be read simultaneously |
Bar Codes cannot be read if they become dirty or damaged | RFID tags are able to cope with harsh and dirty environments |
Bar Codes must be visible to be logged | RFID tags are ultra thin and can be printed on a label, and they can be read even when concealed within an item |
Bar Codes can only identify the type of item | RFID tags can identify a specific item |
Bar Code information cannot be updated | Electronic information can be over-written repeatedly on RFID tags |
Bar Codes must be manually tracked for item identification, making human error an issue | RFID tags can be automatically tracked, eliminating human error |
RFID is being introduced today across a variety of industries to better identify and control individual items, ranging from health care applications (Wyld, 2008 a, b) to the food service and gaming industries (Wyld, 2008c). Major retailers, such as Wal-Mart and Target in the United States and Metro and TESCO in Europe are making major investments in RFID technology, believing that this is the future of retail inventory control, supplanting the venerable bar code method of item identification (Wyld, 2007a, Wessel, 2008). Today, we are seeing exciting in-store applications in bookstores (Collins, 2006), pharmacies (O’Connor, 2008), electronics retailing (Swedberg, 2007a), and grocery stores (Swedberg, 2007b), bringing about new possibilities in customer service, business intelligence, and inventory management.
The RFID Solution for Sports Memorabilia
RFID has seen ongoing development in sports-related applications, being utilized in a variety of manners, from timing marathon runners and race cars to helping golfers find errant golf balls, and even off the field in the important areas of ticketing and event staff tracking (Wyld, 2006). Now, RFID is poised to become the latest weapon for retailers to deploy in this arms race against shoplifting, especially in light of the increasingly aggressive and sophisticated threat coming from the organized retail crime element.
The leading company today attempting to apply an RFID-based solution to authenticating sports memorabilia is the Irving, Texas-based Prova Group (http://www.provagroup.com/). Prova is currently marketing its patented Autograph Certification SystemTM for use at signing events and trade shows (Anonymous, 2008a). The concept, according to Daniel Werner, the firm’s Vice President of Marketing: “Prova decided early on to create a system that works at the moment of the signing that would put authentication in a database and lock that information onto an RFID tag” (quoted in Swedberg, 2007c, n.p.). As such, the tag is applied to the item prior to signing, and then, at the point of signing, the tag is read by and entered into the Prova database, recording who, when, and where the autograph took place. Once an item is registered in Prova’s Online Registry, the registered owner is able to print a certificate of authenticity on demand and to share the tagged item’s complete history, its chain of custody, with interested buyers or other collectors. Further, if a collector wishes to add additional signatures to an item (such as having an entire championship team autograph a football or basketball or adding the autograph of a current star, say Tony Romo, to a ball previously signed by a historic quarterback, such as Bart Starr or Joe Namath), the Prova RFID tag can record each separately and provide proof of authenticity for each autograph (Branton, 2008). The Prova system makes use of two form factors of high-frequency, 13.56 MHz passive tags for different sized collectibles, the smallest of which measures 1 inch by ¼ inch. Both of the tag forms are supplied by X-ident Technology (http://www.x-ident.com/), based in Düren, Germany. The system has been employed at special events where up to 4,000 items of memorabilia have been authenticated by Prova. And now, the firm is shifting from fixed reader stations to hand-held readers from Toronto-based Sirit (http://www.sirit.com/) to enable easier certification, as well as seeking ways to minimize the amount of data that has to be input to certify each individual autograph to speed the process (Swedberg, 2007c).
Analysis
Interjecting RFID into the sports memorabilia market certainly parallels other auto-ID technological applications, most notably pharmaceuticals (Faber, 2008) and government-issued forms of identification, including passports (O’Connor, 2007) and driver’s licenses (Anonymous, 2008b). With these application areas, there is a significant threat of counterfeit items. While there is undoubtedly a far greater threat of personal harm from the use of fake prescription drugs or the use of phony passports or ID cards than a forged signature of Alex Rodgriquez on a photo or baseball card, RFID has proven to be an effective solution in these areas. Furthermore, the high dollars involved means that the return on investment (ROI) potential is significant, as the ratio of the cost of the tag to the value of the item it is affixed to can be quite low indeed. Indeed, with an unauthenticated item basically being worthless, the need to shift to an auto-ID solution is quite clear. While the sports memorabilia industry is highly fragmented, with large agencies and thousands of small sellers, and perhaps millions of collectors, a coordinated strategy is highly unlikely. However, if the major sports marketing agencies choose independently or collectively to implement Prova or another provider’s RFID solution, this would go a long way toward making RFID-based authentication a reality in the sports memorabilia industry. As shown in Figure 1, this would help protect the interests of all legitimate players in the marketplace. In doing so, an industry, best known today for being susceptible to anyone with a box of baseballs and a SharpieTM pen, can restore trust and value to its marketplace.
Figure 1: The Value of RFID to the Sports Memorabilia Industry
References
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And in the end, the value of sports memorabilia can be protected. But also, the intrinsic value of the autograph experience can be as well. After all, as Olson (2006) commented: “For the true fan, the value of an autograph isn’t the signature itself. It’s the shared moment between a fan and his hero” (n.p.).
Author’s Note
David C. Wyld, the Robert Maurin Professor of Management and director of the e-Commerce and e-Government Initiative Department of Management, Southeastern Louisiana University in Hammond, Louisiana.
Correspondence concerning this article should be addressed to David C. Wyld, Department of Management, SLU – Box 10350, Hammond, LA 70402-0350. Email: dwyld@selu.edu
Desirable Qualities, Attributes, and Characteristics of Successful Athletic Trainers – A National Study
Submitted by: Timothy J. Henry, Robert C. Schneider, and William F. Stier Jr. – The State University of New York at Brockport
Abstract
In an effort to determine the importance of desirable qualities, attributes and characteristics necessary for the success of interscholastic athletic trainers a Likert-type scale survey was mailed to all head athletic trainers of NCAA Division III institutions in the United States. The survey consisted of 24 statements allowing for the following responses: essential, very important, important, not very important, and irrelevant. The qualities that were deemed the most desirable by head athletic trainers were trustworthiness (76.2%), honesty (73.5%), dependability (66.4%), and possessing high ethical standards (66.4%). The two characteristics that were found to be the least essential were being a risk-taker (2.1%) and being a visionary (6.4%).
Introduction
Certified athletic trainers (ATCs) are allied health care professionals who specialize in preventing, recognizing, managing, and rehabilitating injuries that result from physical activity. The ATC works as part of a complete health care team and functions under the direction of a licensed physician and in cooperation with other health care professionals, athletics administrators, coaches, and parents (NATA, 2006c). In order to become a certified athletic trainer, an individual must graduate from a Commission on Accreditation of Athletic Training Education (CAATE) approved Athletic Training program and successfully pass the Board of Certification Examination (NATA, 2006b).
The Board of Certification, Inc. (BOC) regularly conducts a role delineation study among a sample of certified athletic trainers. This study determines the current role, or standards, of the profession. This role delineation study may also be considered a job analysis and determines the minimal competencies to practice as an athletic trainer. It also serves to define the contemporary standards of practice for the athletic training profession (NATA, 2006a). The information gathered by this job analysis is used as a template for the NATA Educational Council to develop the Educational Competencies for Athletic Training. These competencies define the minimum skills and characteristics that entry-level athletic trainers should possess and define the educational content that students enrolled in an accredited athletic training program must master. The competencies are broken down into 12 content areas (Table 1) (NATA, 2006a).
“Athletic trainers are the critical link between the sport program and medical community” (Anderson and Hall, 2000, p. 6) and fulfilling this job requires the athletic trainer to fill many roles. In addition to the educational knowledge outlined by the educational competencies, ATCs must possess other qualities and attributes in order to succeed in the all-encompassing role of athletic trainer. Arnheim and Prentice (2000) describe some of these qualities as stamina and ability to adapt, empathy, sense of humor, communication, intellectual curiosity, ethical standards, and being active in professional organizations. Gaedek, Toolelian & Schaffer (1983) describe communication with other athletic trainers, physicians, physical therapists, and so forth as one of the primary attributes an ATC must possess.
Attaining a position in athletic training and, ultimately, success as an athletic trainer can be dependent upon several factors. Employers look for candidates who have both a formal and informal educational background (including certification from the BOC) as well as a demonstration of other skills and attributes that might have been obtained through experience as well as through formal educational courses (Gaedeke, Toolelian & Schaffer, 1983). When looking at employers’ hiring criteria for athletic trainers, the prevailing criterion predicting employment and salary is the educational status of the applicant (Kahanov and Andrews, 2001). This study by Kahanov and Andrews (2001) found that the four most important criteria for hiring were personal characteristics, educational experience, professional experience, and work-related attributes. Educational experience included a college minor, grade point average, membership in a fraternity, and college reputation. The personal characteristics included self-confidence, maturity, interpersonal skills, assertiveness, enthusiasm, technical skills, ability to articulate goals, oral communication skills, leadership skills, initiative, ambition, problem-solving skills, writing skills and personal appearance. Smith (2006, p.47) states that “certification and experience are important, but possibly even more critical are personality, character, and people skills”. Certified athletic trainers hold the key to a successful program, whether it is a professional team, a school, a physician’s office, a hospital, or a clinic. Thus, it is imperative to hire the right person for the job (Smith, 2006).
Although the literature contains many studies highlighting hiring criteria and desirable knowledge areas for ATCs, very few studies have investigated the personal characteristics and qualities of certified athletic trainers as viewed by employers in specific employment settings. The purpose of this study was to investigate the desired personal qualities, attributes, and characteristics of certified athletic trainers in the division III setting as viewed by head athletic trainers in these settings. To date, this is the only national study that surveyed all of the division III head ATCs asking them what personal qualities, attributes, and characteristics they believed to be important for the success of ATCs.
Methodology
Population:
The population surveyed included head athletic trainers of all NCAA division III colleges and universities. The mailing addresses of the colleges and universities were obtained from the NCAA headquarters located in Indianapolis, Indiana. Of the 410 surveys mailed out, 185 were returned for a return rate of 45.1%.
Survey Instrument:
The survey instrument utilized in the study was approved by the Institutional Review Board at the surveying institution. The instrument was developed based upon the professional literature and as well as communication with experts in the area of athletic training. Twenty-four specific skills and competencies were identified and included in the survey.
Procedures:
After approval of the survey instrument, all surveys were mailed to the NCAA division III head athletic trainers. A return envelope that was pre-stamped, and addressed to the principal investigator, was included in the mailings. Anonymity of the head athletic trainer, as well as the college and university surveyed, was ensured.
The head athletic trainers were asked to provide their opinions as to the level of importance of the personal qualities, attributes, and characteristics included on the survey that were related to the success of the athletic trainers in providing health care to student athletes. By responding to a 5-point Likert scale, essential, very important, important, not very important, irrelevant, the head athletic trainers provided their opinions as to the level of importance of specific skills and competencies found in successful athletic trainers.
Findings
The findings are displayed in Table 2 and revealed varied opinions regarding the importance of personal qualities, attributes, and characteristics that Division III head athletic trainers believed to be essential, very important, important, not very important, and irrelevant in order to be successful as an athletic trainer at the Division III level. Most of the items were identified as either essential or very important; however, some were not viewed as highly.
Six items were reported as the most important personal attributes for successful ATCs. These items had the highest percentage of responses as essential to the success of athletic trainers at the Division III level:
- Trustworthiness (76.2%)
- Honesty (73.5%)
- High ethical standards (66.4%)
- Dependable (66.4%)
- Adaptable (62.7%)
- Communicator (61.6%)
In addition to the attributes reported as essential, three items were reported as being highly desirable (either essential or very important) by 90% of the respondents:
- Leadership (93.7%)
- Decisiveness (91.8%)
- Consistency (91.2%)
Head athletic trainers viewed the following as having the least impact (essential or very important) among all of the selected skills and competencies on success of the Division III ATCs:
- Risk taker (19.9%)
- High energy level (45.6%)
- Visionary (46.9%)
Discussion
This study examined the desirable personal qualities and attributes necessary to be a successful athletic trainer at the Division III level. The most desirable characteristics reported by head athletic trainers in this study, honesty, trustworthiness, and high ethical standards, can be grouped together as ethical qualities. Each of these attributes is important to the ability of the ATC to provide high quality health care to the physically active. All members of the NATA are required to observe the NATA Code of Ethics, which provides an outline of ethical behavior that should be followed in the practice of athletic training. The Code is comprised of 5 principals and presents aspirational standards of behavior that all members should strive to achieve (NATA, 2006c). ATCs typically deal with many controversial and sensitive issues in which honesty, trustworthiness, and high ethical standards are of the utmost importance. Some of these sensitive situations may include athletes with diseases or conditions, such as HIV or hepatitis, athletes with sexually transmitted diseases, athletes with season-ending or career-ending injuries, and athletes that may be using, or are suspected of using, performance enhancing substances. In each of these scenarios, the ATC may find themselves exposed to extremely sensitive and confidential information. Confidential information that is obtained as part of the professional relationship that an ATC has with an athlete might be personal, private, and sensitive. The ATC should handle this sensitive information carefully to avoid ethical, as well as legal, breaches of confidentiality. Another issue related to the ethical standards of athletic trainers is the high profile of athletes and of the athletic industry in our society. The accessibility of the media and the public’s desire to know everything possible about their teams and athletes can be a significant threat to an athlete’s privacy and to the confidentiality of information to which the ATC is privy (Ray, 2005). The fact that the respondents in this study valued the ethical attributes establishes the importance of the Code of Ethics in the daily practice of the ATC.
Trustworthiness is not only important when dealing with the confidentiality issues, but it is extremely important in establishing a good rapport between the athlete and the athletic trainer. The athlete needs to respect the athletic trainer as a person before they can trust the athletic trainer in the rehabilitative setting. The ATC must gain the trust of the athlete before the athlete will follow the protocols and programs designed for them by their athletic trainer (Arnheim and Prentice, 2000).
Other attributes that were deemed highly desirable were adaptability and dependability. Arnheim and Prentice (2000, p. 16) report, “The athletic trainer must be able to adapt to new situations with ease.” This is due to the large number of athletes and teams that they are typically responsible for covering. Practice and game schedules are frequently canceled or modified, depending on factors such as weather, facility availability, team condition, travel schedules, and so forth. In many cases, ATCs are at the mercy of the coaches and administrators in determining these schedules and may not be consulted as to their opinions in those matters. Due to the unique skills which the ATC provides, they are difficult to replace and they must be present at all practices and contests in order to provide the high quality health care that the athletes deserve.
The ability to communicate is an attribute that was deemed essential by 61.6% of the respondents; however, we expected a higher percentage of the head athletic trainers to list this as essential. Athletic trainers are often described as a liaison between athletes, coaches, team physicians, and other allied health care professionals. This role requires the ATC to serve as an educator, psychologist, counselor, therapist, and/or administrator and is dependent upon a constant flow of oral and written communication (Arnheim and Prentice, 2000). Lockard (2005) stressed the importance of having positive relationships by stating that because athletic trainers deal with a variety of people, they need good social and communication skills.
Personal attributes that were deemed desirable by the respondents were decisiveness and leadership. Decisiveness is a characteristic that does not appear in any of the previous literature relating to desirable personal attributes or hiring characteristics for an ATC. During the course of any typical day for an ATC, many situations arise in which the athletic trainer must make important decisions. Referral decisions are an inherent part of the injury management domain of athletic training, especially those dealing with potentially catastrophic injuries. These decisions must be made spontaneously in many cases with the well-being of the athlete at stake.
The importance of leadership in our study is similar to the findings of Kahanov and Andrews (2001). They listed leadership as one of 16 characteristics that were viewed as important by employers when hiring ATCs across different job settings, although leadership was not rated as highly as other characteristics in their study. As mentioned previously, the ATC is typically the leader or coordinator of the sports medicine team (NATA, 2006e). Smith (2006) stated that certified athletic trainers hold the key to a successful program, whether it is a professional team, a school, a physician’s office, a hospital, or at a clinic.
The personal attribute that was reported to be the least important in the Division III setting was being a risk-taker. This finding is not surprising when considering the myriad of legal and ethical issues confronting ATCs today. Risk management is an important term to all ATCs today, and the athletic trainer is intimately involved in developing safe athletic programs in all types of settings. Lyznicki et al. (1999) found the implementation of risk management programs by athletic trainers to be important in that it minimized liability in secondary schools. Chen and Esposito (2004) recognized the importance of risk management and acknowledged the need for athletic trainers to formulate a risk management plan.
Another personal attribute that was not deemed essential to the success of athletic trainers at the division III level was high energy level. Only 16.2% of the respondents reported this to be essential, while 39.4 % rated this as very important. This finding is extremely surprising and is contrary to many commonly described views of the ATC. ATCs typically work extremely long hours and are asked to cover numerous sporting events every day. Arnheim and Prentice (2000, p. 16) state, “Athletic training is not the field for a person who likes an 8-to-5 job. Long, arduous hours of often strenuous work will sap the reserve strength of anyone not in the best of physical and emotional health. Athletic training requires abundant energy, vitality, and physical and emotional stability.” In recent years, the NCAA and other administrators have begun to recognize the long hours and busy days of ATCs and have implemented changes in the sports medicine coverage provided by ATCs. The NCAA recently implemented the guidelines for appropriate medical coverage for intercollegiate athletics (NATA, 2003), which generally increases the number of ATCs required to meet the health care needs of student athletes on NCAA college campuses. This document suggested to collegiate administrators that they need to hire more certified athletic trainers to cover the ever-increasing health care needs of their student athletes. This recently implemented guideline may have in fact alleviated some of the long hours and strenuous days that had become commonplace for the ATC. With the addition of more staff, head ATCs may now feel that having a high energy level is not as important as it was traditionally viewed.
Being a visionary is another characteristic that was not reported as desirable as some of the others. Athletic training is a relatively young profession and the physically active community is just beginning to recognize the role and importance of ATCs in providing health care to the physically active. The recent evolution of athletic training is due to the long-term vision of many early athletic trainers; however there are still many hurdles for ATCs to clear in order for athletic training to become fully integrated into the larger sports medicine field. Some of the important issues currently confronting NATA members are third party reimbursement, expanding employment settings, and refining the educational process. These are issues that many ATCs are concerned with and are highly intertwined with the long-term vision and strategic plan of the NATA. (NATA, 2006d). It is somewhat surprising to the authors that being a visionary is not deemed more desirable by head athletic trainers at the division III level.
Conclusion
The most important personal characteristics and attributes for ATCs at the division III level were related to ethical issues and included honesty, trustworthiness, and possessing high ethical standards. Other highly desirable characteristics were being adaptable, dependable, and a good communicator.
The least important personal attribute was being a risk-taker. Other attributes that, surprisingly, were not deemed as highly desirable were having a high energy level and being a visionary.
Table 1: Athletic Training Professional Competencies Areas
Risk Management and Injury Prevention |
Pathology of Injuries and Illnesses |
Orthopedic Clinical Examination and Diagnosis |
Medical Conditions and Disabilities |
Acute Care of Injuries and Illnesses |
Therapeutic Modalities |
Conditioning and Rehabilitative Exercise |
Pharmacology |
Psychosocial Intervention and Referral |
Nutritional Aspects of Injuries and Illnesses |
Health Care Administration |
Professional Development and Responsibility |
Table 2: Desirable Qualities, Attributes, and Characteristics of Successful Athletic Trainers
Qualities, Attributes, and Characteristics | Essential (%) | Very Important (%) | Important (%) | Not Very Important (%) | Irrelevant (%) |
---|---|---|---|---|---|
Honesty | 73.5 | 20.5 | 1 | 1 | 4 |
Punctuality | 45.9 | 42.1 | 8 | 2.1 | 1.6 |
Decisiveness | 56.2 | 35.6 | 4.3 | 1.8 | 2.1 |
Trustworthiness | 76.2 | 17.8 | 2.8 | 0 | 3.2 |
Consistency | 47.5 | 43.7 | 5.7 | 1 | 2.1 |
Enthusiastic | 12.4 | 52.4 | 29.9 | 2.1 | 3.2 |
High energy level | 16.2 | 39.4 | 40.2 | 3.7 | .5 |
Role model | 28.6 | 43.2 | 23.9 | 2.7 | 1.6 |
Leadership | 35.6 | 48.4 | 11.8 | 2.1 | 2.1 |
Persistence | 20 | 50.4 | 25.9 | 2.1 | 1.6 |
Helpfulness | 26.4 | 23.2 | 47.2 | .5 | 2.7 |
Altruism | 12.4 | 51.5 | 28.6 | 5.4 | 2.1 |
High ethical standards | 66.4 | 28.9 | 1 | .5 | 3.2 |
Visionary | 6.4 | 40.8 | 44.3 | 7.5 | 1 |
Patience | 35.1 | 45.6 | 15.6 | 1.6 | 2.1 |
Risk taker | 2.1 | 17.8 | 44.7 | 30.8 | 4.6 |
Loyal | 23.7 | 43.7 | 27.3 | 3.2 | 2.1 |
Dedicated | 43.7 | 42.9 | 8.1 | 3.2 | 2.1 |
Adaptable | 62.9 | 29.9 | 4 | .5 | 2.7 |
Diplomatic | 24.3 | 50.5 | 21 | 3.7 | .5 |
Professional visual image | 30.8 | 43.7 | 19.1 | 3.2 | 3.2 |
Communicator | 61.8 | 31.3 | 3.7 | .5 | 2.7 |
Empathetic | 28.1 | 50.5 | 17.2 | 2.1 | 2.1 |
Dependable | 66.4 | 29.9 | .5 | .5 | 2.7 |
Note: The values represent mean percentages of the Likert-type-scale responses.
References
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Author’s Note
Timothy J. Henry, Associate Professor and Athletic Training Program Coordinator, The State University of New York at Brockport; Robert C. Schneider, Associate Professor, Department of Physical Education and Sport, The State University of New York at Brockport; William F. Stier, Jr., Distinguished Service Professor and Graduate Director, Department of Physical Education and Sport, The State University of New York at Brockport.
Correspondence concerning this article should be addressed to Timothy J. Henry, Department of Physical Education and Sport, The State University of New York at Brockport, 350 New Campus Drive, Brockport, NY 14420. E-mail: thenry@brockport.edu; Fax: 585-395-2771; Work Phone: 585-395-5357.