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THE IMPACT OF ADVENTURE-BASED TRAINING ON TEAM COHESION AND PSYCHOLOGICAL SKILLS DEVELOPMENT IN ELITE SPORTING TEAMS

A detailed account of this research project can be obtained from the following websites  

http://www.ebookmall.com/ebook/183159-ebook.htm 

http://www.amazon.com/Adventure-Based-Training-Cohesion-Psychological-Development/dp/1581121938

Or contact the author for a PDF version at i.boyle@tsc.nsw.edu.au

ABSTRACT

Meyer & Wenger (1998) and Meyer (2000) were instrumental in pioneering research into the efficacy of adventure-based training with sporting teams. This investigation adds to the growing body of knowledge in this area by demonstrating the positive effects an adventure training intervention has on athletes’ ability to learn new team and psychological skills. Quantitative measures investigated the development of team cohesion among elite netball players during their national season. In three of four team-cohesion sub-scales ATG-T, ATG-S, and GI-T significant differences were noted between the treatment and control groups. These significant results were supported by the athletes’ qualitative accounts of the intervention.In qualitative terms, focus group and one on one phenomenological interviews were triangulated against observational and statistical data to help build a picture of the athletes’ experience. In the phenomenological tradition, obtaining the athletes’ perspective of the intervention was most important. With this in mind, both the outcomes and the process that led to the outcomes were documented.

INTRODUCTION

Through my own personal experience in whitewater and marathon kayaking, caving, rogaining, rock climbing and mountaineering, I have found myself in many challenging situations that had taken me to the edge of my perceived ability and self imposed comfort zone. In order to perform well under these stresses I had to learn to focus on the task and block out the natural fears which have the potential to paralyse optimal performance. After the psychological growth I had personally gained from participation in adventurous activities, I pondered whether athletes and sporting teams could enhance their performance from participating in similar organised adventure training programs in the outdoors. I therefore wanted to set about conducting a research project that could question this assumption and gather evidence to support or refute my beliefs.

 

STATEMENT OF PROBLEM

Little research has been conducted into the efficacy of adventure-based training interventions with elite sporting teams. Meyer & Wenger (1998) and Meyer (2000) contributed to the literature showing how adventure-based training can enhance team cohesion and psychological skills development within sporting teams. They did not however take that extra step to investigate how team members maybe utilising their new skills in their actual sporting performance in real competition. Knowing whether athletes can take skills learnt during their adventure-based experience back into their real-life sporting environment is a key unanswered question. While the above studies have contributed valuable information to the research line of sporting team development, the shortfall in these previous studies needed to be addressed to further the adventure-based training / sport psychology field. Addressing this problem provided focus to this study. 

STATEMENT OF MAJOR HYPOTHESES

·    Athletes who received an adventure-based training program intervention, would show increased team cohesion when compared to a control group.

·    From an athletes’ or coaches’ perspective, what were the major outcomes of the adventure-based training program; and how did they impact most upon the team in the following areas: 1) Personally, 2) In developing teamwork and team cohesion, and 3) Transferability to specific netball competition situations?

·    From an athletes’ or coaches’ perspective, what processes during the adventure-based training weekend had the most impact on the team? What was it about these situations that made them so beneficial?

REVIEW OF RELATED LITERATURE

This review gives a brief account of the key areas that underpin the investigation.

Allain (1996) researched the effectiveness of an adventure-based training program on the team cohesion of a nineteen member Canadian university women’s soccer team. The intervention incorporated the use of four initiative or team build activities. Understanding the intervention from the athletes’ perspective was a goal of the intervention, and qualitative data was collected from both journals and focus group interviews. Results displayed strong support for changes in the teams cohesion, as well as improved communication, trust, and the ability to block out unwanted distractions.

The study that impacted most on this present project was conducted by Meyer and Wenger (1998), who have been leading researchers in the area of adventure training and sport psychology. Meyer and Wenger’s (1998) investigation described the outcome-oriented effects of ropes course participation on a girls high school tennis team, and the processes through which these outcomes were achieved. Qualitative analysis of data demonstrated increased team cohesion, especially around social issues within the team. The breaking down of cliques increased support for team members on and off the court, and social relations improved because of improved communication. These findings were supported in later follow up studies (Meyer & Grochowski, 1998; Kilty & Meyer, 1999).

It is interesting to note that this and the follow up interventions only had an impact on the social side of the multidimensional construct of cohesion, with no impact on task factors. While there are many interacting variables that could have led to this, it appears that the facilitation and design of the ropes course experience may have affected the outcome.

Priest and Gass’s (1992) gave an overview of the stages of adventure facilitation. Facilitation in any of the first three stages can lead to a “reactive” facilitation process (Priest, 1995). This is where the facilitator lets the events of the experience unfold and then debriefs the activity based on the participants’ interaction. The facilitation is after the fact. This appears to be the style used in Meyer’s study. This teaching method is an effective and acceptable style of facilitating a program, however, it is a hit and miss affair where the desired outcomes of the program may or may not result. Operating in one of the later facilitation methods of front loading or metaphoric framing however, allows the facilitator to structure the activity to mirror either task or social aspects of the athletes’ sport or problems concerning these areas.

This present study plans to address this issue and monitor the effect of facilitation on athletes’ learning. Meyer attempted to explain the athletes’ learning and change through Lewin’s change theory model (Lewin, 1965 cited in Meyer, 1998, p.245). The model is a three-stage approach that is used to explain change in a variety of disciplines. These stages are outlined below:

Stage 1: Unfreezing: involves a motivation or desire to change which is typically prompted by feelings of inadequacy or failure, threats to self-esteem, or general feelings of turmoil. The individual believes that through change, these feelings of inadequacy and failure will cease to exist, therefore they are ready and motivated to change.

Stage 2 Moving: requires new behaviours, responses, and problem solving approaches to be developed in an attempt to replace those that are causing the above mentioned stress. Through identification with knowledgeable and respected others (ie: change agents), an individual cognitively redefines the situation and continues the process of assimilating new ego-enhancing, equilibrium-producing beliefs and behaviours

Stage 3: Refreezing: in this stage new behaviours, responses and approaches are stabilised, and integrated into the individual’s repertoire and ultimately their world. Change agents continue to be important in this stage, providing support and reinforcement, and helping to identify forces that inhibit or facilitate change, so change can be maintained.

While Meyer systematically explained the changes to athletes through Lewin’s model, much of the change she described was directed around relationships, trust, and social issues within the team, which in itself, greatly benefited the athletes. While changes in these areas can impact on sporting performance (Weinberg & Gould, 1995), there was very little indication in their results as to how athletes might have benefited from these changes when actually out playing tennis in real competition situations. Did the intervention impact on performance? Did players learn skills that directly helped their tennis game or the mental process of competition? (The investigation of these questions were outside the exploratory nature of Meyer’s research).

These questions are very important for coaches, administrators, and athletes who are spending valuable time away from their usual training routines in pursuit of something that will enhance performance. This present study attempted to build on Meyer’s work by investigating these questions. It will also determine whether Lewin’s model of change is appropriate in explaining the changes within a netball team situation, and compare and contrast Meyer’s findings to the results of this study.

Group Cohesion

Group cohesion is related to group development and group dynamics and has been defined as “a dynamic process, which is reflected in the tendency for a group to stick together and remain united in the pursuit of its goals and objectives” (Carron, 1982, p.124). Cohesion is described as a multidimensional construct that includes task and social aspects, each of which reflects both an individual and a group orientation. Group cohesion was measured by “The Group Environment Questionnaire” (GEQ) (Carron, et al, 1985).The GEQ has 18 items presented on a 9-point scale anchored at the extremes by Strongly agree (9) and Strongly disagree (1); scoring was treated as interval data. Four subscales of cohesion are contained in the GEQ, these included:

Scales were calculated so that larger scores indicated greater cohesion. Previous research has indicated that the GEQ possessed sound content, construct, concurrent and predictive validity (Carron et al., 1985). 

RESEARCH DESIGN

A multi-method approach, using both qualitative and quantitative methods along with multiple data sources, were the tools used in this study to assess the impact of the adventure-based training on elite netball players. It was assumed that both methodologies complement and counterbalance each other and enable a thorough analysis of the available data (Henderson, 1993). This multi-method approach is a form of triangulation, which allows one to learn about phenomena while attempting to guard against biases in the process. Combining these methods is a successful approach because a diversity of needs raised by the nature of the research questions can be addressed by a variety of methods (Henderson, 1991). 

Participants and Site

Thirty-six members of state age netball teams provided informed consent to participate in the study. The athletes were either members of an under 19 or under 17 state female netball team in either NSW or Victoria, Australia. As part of the coaching strategy to prepare the NSW teams for the national championships, both teams partook in the adventure-training intervention concurrently. Participants traveled two and a half hours south of Sydney, to The Scots College, Outdoor Pursuits Centre in Kangaroo Valley, NSW. The centre is situated on a Lake in a rural setting surrounded by the rugged Morton National Park, both sites were utilised during the intervention.

Intervention Procedure

The thesis version of this paper has a comprehensive account of the intervention totaling 40 pages [email:i.boyle@tsc.nsw.edu.au for an electronic version]. Activity selection, and facilitation processes are described in detail so replication can be achieved. This section is also a valuable teaching resource for those teaching facilitation classes to future outdoor education leaders or coaches who are looking for a sound progression for conduction team building or psychological skills development training with their teams.

Issues of isomorphic metaphor development are discussed throughout the chapter. Electronic copies can be obtained from the author (see above email address).

Bisson (1997) tested the efficacy of sequencing experiential challenge activities in a specific order. He found his model was effective in developing team cohesion among participants. This model for sequencing adventure activities was utilised during this investigation. For the purpose of this paper, the following outlines activities included in the intervention:

Group Formation Activities

Toss a name game (Rohnke, 1995), Categories (Rohnke, 1995), Have you ever (Rohnke, 1995)

Group Challenge Activities

Two in a row (Rohnke, 1995), Balloon Trolley (Rohnke, 1995)

Group Support Activities

Climbing on indoor climbing wall, Abseiling, Giant Swing

Group Achievement Activities

·        Early morning run and swim at sun rise

·        10 hour bush walk in very difficult terrain

·        Surprise unexpected overnight campout

·        Being awoken by bagpipes at sunrise

·        Technical caving day

RESULTS

Quantitative Analysis

The quantitative analysis examined all four sub-scales of Carron’s (1985) Group Environment Questionnaire with an attempt to identify the emerging and consistent threads; the sub-scales will form the foci for analysis of results. These sub-scales and abbreviated names are outlined below. (Abbreviations will be used in the presentation of results).

Limitations and Delimitations of Analysis

Several important trends were seen across most sub-scales in the results These trends will be discussed collectively at this point, to avoid repeating the same information when analysing each sub-scale.

As will be seen in the coming pages, the initial repeated measures analysis indicated results that, at a most conservative view, were approaching significance; as was the case with the ATG-T and ATG-S subscales. The GI-T subscale displayed strong significance, while the GI-S showed no significance. This is contrary to observations and interviews that were analysed in the qualitative data, which clearly demonstrated increased team cohesion in all sub-scales. Because of this triangulation of data, one can more confidently conclude that the interaction within the first three sub-scales warranted further investigation to determine the degree of difference between groups.

Three of the sub-scales ATG-T, ATG-S, and GI-T all demonstrated a negative skew in the data, indicating a major ceiling effect; this being where participants scored very high during their initial data collection times, leaving very little room for recording any change that might result from the intervention. Because of this trend, any significant results in these variables can be considered a strong indication that an effect has occurred (Neill, in press).

The lack of a researcher presence during the four control group data collection points, may have led to validity concerns. When a researcher attends a data collection session, it is possible to “sell” the importance of the repetitious data collection procedure to subjects. Informal conversational interviews at the national championships suggested that control group players lacked motivation and interest in completing questionnaires during the latter two data collection points. Burns (1994, p.364) suggested that, “we can assume more valid responses from individuals who are interested in the topic and/or are informed about it”. While the coach of the control group was trained and provided with information for administering the questionnaires, questions remain as to how effectively this was completed. When reviewing the quantitative data, the reader should be aware that the researcher was unable to personally check on issues affecting the control groups’ cohesiveness as a team.

Individual Attractions To The Group-Task Subscale Results

 [NOTE: Tables and graphs were not able to be imported into this website, electronic copies of this paper can be obtained by emailing i.boyle@tsc.nsw.edu.au where graphs and tables can be viewed].

 

A summary of descriptive statistics for the ATG-T sub-scale appears in Table 1. This sub-scale was calculated with the highest possible score being 36.

Table 1: Means and standard deviations for 4 time measures of ATG-T sub-scale ´ 3 groups.

Using a most conservative interpretation of the of the ATG-T repeated measures data analysis, it can be concluded that the test was approaching significance. With this result the lines in Figure 1 were treated as not being parallel; meaning that some kind of interaction had taken place between groups over time, in other words, some kind of change had taken place.

Figure 1: Repeated measures analysis showing interaction between groups and time on the ATG-T sub-scale.

These trends were examined by analysis of variance across each measure of time for group differences No significant differences were noted across the first three time measures, however, significant group differences were recorded at time 4         [F(2, 27)=5.238; p=.012] (See Table 2).

Table 2: Analysis of Variance for ATG-T sub-scale across 4 time measures

Post hoc Bonferroni analysis found that there was a significant difference between the Control group and the Under 17 team (p=.014) (See Table 3).

Table 3: Post Hoc analysis showing multiple comparison of ATG-T sub-scale at time 4.

Effect size analysis was used to measure the longitudinal effects of the intervention. These were calculated for each group to determine the degree of any change between each testing time. Figure 2 shows the effect sizes for each group on the ATG-T subscale. Results showed the amount of change that occurred between: time 1-2; time 2-3; and time 3-4. Positive effects for the treatment groups between Time 2-3 support the hypothesis that teams receiving the adventure intervention would increase scores on all the GEQ subscales. These results were maintained between Time 3-4 data collection.

Figure 2: Comparison of effect size change for three groups across time for ATG-T subscale.

Individual Attraction To The Group-Social Sub-Scale Results

A summary of descriptive statistics for the ATG-S sub-scale appears in Table 4. This sub-scale was calculated with the highest possible score being 45.

Table 4: Means and standard deviations for 4 time measures of ATG-S sub-scale ´ 3 groups.

Using a most conservative interpretation of the ATG-S repeated measures data analysis, it can be concluded that the test was also approaching significance. With this result, the lines in Figure 3 were treated as not being parallel; meaning that some kind of interaction had taken place between groups over time, in other words, some kind of change had taken place.

Figure 3: Repeated measures analysis showing interaction between groups and time on the ATG-S sub-scale.

These diverging trends were examined by analysis of variance across each measure of time for group differences. No significant differences were noted across the first two time measures, however, significant group differences were recorded at time 3 [F(2, 27)=3.663; p=.039], and time 4 [F(2, 27)=5.429; p=.010] (See Table 5).

Post hoc Bonferroni analysis however, did not discern any significant differences at time 3. Further post hoc analysis at time 4 identified significant difference between the Control group and the Under 17 team (p=.016), and the Control group and Under 19 team (p=.041) (See Table 6).

Figure 4 shows the effect sizes for each group on the ATG-S sub-scale. A particularly large negative effect was seen between times 1-2 for the control group. A large positive change occurred for the Under 17 team between times 2-3. The same improvement was not seen in the Under 19 team; this could be a result of the ceiling effect of their data.   

Table 5: Analysis of Variance for ATG_S sub-scale across 4 time measures         

Table 6: Post Hoc analysis showing multiple comparison of ATG-S sub-scale at time 4

Figure 4: Comparison of effect size change for three groups across time for ATG-S subscale.

Group Integration-Task Sub-Scale Results

A summary of descriptive statistics for the GI-T sub-scale appears in Table 7. This sub-scale was calculated with the highest possible score being 45.

Table 7: Means and standard deviations for 4 time measures of GI-T sub-scale ´ 3 groups.

Analysis of the GI-T data indicated a significant result. Interaction between the independent variables time and teams was again measured using both multivariate and univariate analysis (See Figure 5). These diverging trend were examined by analysis of variance across each measure of time for group differences. No significant differences were noted across the first two time measures, however, significant group differences were recorded at time 3 [F(2, 27)=4.760; p=.017], and time 4 [F(2, 27)=5.564; p=.009] (See Table 8). Post hoc Bonferroni analysis at time 3 indicated a significant difference between the Under 19 and Under 17 groups (p=.030) (See Table 9). While, analysis of time 4 revealed a significant divergence between the Control group and the Under 17 team (p=.008) (See Table 10).

Figure 5: Repeated measures analysis showing interaction between groups and time on the GI-T sub-scale.    

Table 8:Analysis of Variance for GI-T sub-scale across 4 time measures.

Table 9: Post Hoc analysis showing multiple comparison of GI-T at time 3.

Table 10: Post Hoc analysis showing multiple comparison of GI-T at time 4.

Figure 6 shows the effect sizes for each group on the GI-T sub-scale. A positive change occurred for the Under 17 team between times 2-3. Similar indications of a large and notable effect can be seen for the Under 19 team between times 3-4. Increases of this size indicate that a very large degree of change occurred within these two groups after the intervention.

Figure 6: Comparison of effect size change for three groups across time for GI-T subscale.

Group Integration-Social Sub-Scale Results

A summary of descriptive statistics for the GI-S sub-scale appears in Table 11. This sub-scale was calculated with the highest possible score being 36. Means for all groups in this sub-scale were notably lower than the previous three sub-scales.

Table 11:Means and standard deviations for 4 time measures of GI-S sub-scale ´ 3 groups.

Analysis of the GI-S data indicated no significant interaction between the independent variables time and teams (See Figure 7). With these results, one can conclude that the lines in Figure 7 can be considered close to parallel, meaning that no interaction had taken place between groups over time. As this initial examination of the data indicated no significant interaction between groups with respect to the team members social integration.

Figure 7: Repeated measures analysis showing interaction between groups and time on the GI-S sub-scale

Summary

Collectively these quantitative results indicated that the Under 17 and Under 19 teams underwent some kind of group cohesion change during the adventure-based intervention. Also of note is the steady decrease in control group scores across time in the ATG-T and ATG-S scores. These quantitative results will later be integrated with the qualitative data in the discussion in an attempt to gain an understanding of the athletes’ perspective as to the efficacy of the intervention.

Qualitative Results

Neill (1998) called for future research in adventure programming to clearly outline the process involved in adventure-based programming. The qualitative approach was most appropriate to address these process questions. In addition, the qualitative data can add validity to the outcome variables that were studied through quantitative analysis (Hardy, Jones, & Gould, 1996).

A variety of methods were used to obtain qualitative data during the investigation, these included: observations, several types of interviews including: focus group interviews, activity debriefing, individual phenomenological interviews, informal conversational interviews, photography, and video.

Observations occurred during all aspects of the weekend intervention as well as netball training and competitions up to and including the national championships. The qualitative results were reported using the “outcome” and “process” nature of the research questions as a guiding structure. The research questions were:

From an athletes’ or coaches’ perspective, what were the major outcomes of the adventure-based training program; and how did they impact most upon the team in the following areas:

1) Personally, 2) In developing teamwork and team cohesion, and 3) Transferability to specific netball competition situations?

a. What new skills or knowledge about themselves or other teammates did individuals take away with them from the adventure-based training camp?

b. How did the team or individuals within the team change because of their adventure experience? What new skills were developed that helped the team?

c. Was there any direct evidence that psychological skills learnt during the adventure training camp were directly transferable to netball training or competition?

From an athletes’ or coaches’ perspective, what processes during the adventure-based training weekend had the most impact on the team? What was it about these situations that made them so beneficial?

a. What elements of the adventure-based training intervention had the most impact on athletes? Why was this significant for these athletes?

b. How did this camp differ (if at all), from previous adventure-based training camps, which the athletes had been on in the past?

c. How did the outdoor bush environment impact on the program? Was it an advantage or a disadvantage traveling away from their usual training venues?

Outcome Results

The qualitative interviews conducted during the research project were rich in athlete testimony as to the efficacy of the intervention and its transferability back to netball. Figure 8 summarises the key findings of the qualitative interviews that contributed to the outcomes of the adventure-based training intervention. Three general dimensions of categories were identified; group-cohesion, improved on court performance, and changes outside of netball.

Process Results

Meyer and Wenger (1998) identified a theoretical perspective, “Lewin’s change theory”, to explain the process that underpinned their adventure training intervention with athletes. While their study identified several implications for practice, they state that, “continued questioning and further study are clearly necessary in order to better understand the processes through which adventure education outcomes are achieved (with sporting teams), and to ensure that this knowledge is translated into improved practice” (p. 263).

This present investigation set about examining in detail, the processes of the adventure-based intervention. After the outcomes of the adventure-based intervention were identified, the data was re-examined in an effort to explain the processes through which the outcomes were achieved. This being part of the recommendations to future researchers by Neil (1998) and Anderson (1994). The raw data, along with several theoretical paradigms were examined to identify the theoretical perspective, which best fit or explained the data (Strauss & Corbin, 1990).

Kurt Lewin’s change theory was utilised by Meyer & Wenger (1998) to explain the results of their investigation. This present study replicated this approach in order to determine whether Lewin’s theory was appropriate in explaining changes within an interacting netball team, as opposed to a co-acting tennis team, as was the case with Meyer & Wenger work. While Lewin’s model will be used as a framework for explaining the processes of the intervention, other existing constructs that align with Lewin’s model will be woven into this framework to give greater understanding of why the outcomes occurred.

Figure 9 summarises factors contributing to the process through which the adventure-based training outcomes were achieved.

Figure 8: Factors contributing to the outcomes of the adventure-based training intervention


Figure 9: Factors contributing to the process through which the adventure-based outcomes were achieved    

DISCUSSION

This summary section is included in order to synthesise the key findings from the results section of this research project in a context that corresponds with the research questions. Each research question will lead a brief overview of the findings pertinent to that area of the investigation.

Quantitative Findings

Research Questions

Athletes who received an adventure-based training program intervention, would show increased team cohesion when compared to a control group.

The duration of the intervention will see longitudinal improvements in all four sub-scales of team cohesion, when compared to a control group. Results of the quantitative analysis on these two questions clearly demonstrated that athletes in both treatment groups increased cohesion and that these improvements were increased and maintained throughout the duration of the investigation. This however, was only evident from a statistical point of view, in three of the four subscales.

These results reflected strong but only partial support for the original research hypotheses. Results did not reflect improvement of all subscales as was hypothesised. Given this shortcoming, however, the results can be considered extremely significant due to the ceiling effect in the data. One wonders if significance would have been further improved if groups had room to score higher on subsequent GEQ data collections.

Of special note were the very large and significant effect size scores for both treatment groups on the task related subscales. These statistical gains were also effectively triangulated by the qualitative data. Given this, the reader should feel confident that the findings are supported by strong validity.The longitudinal element of the hypotheses are again not fully supported, however the improvements in cohesion that were made early in the intervention were maintained through to time 4 just before the national championships. This would indicate that the learning from the intervention and the support infrastructure to maintain these gains was very effective. The quantitative data results were strongly supported by the qualitative data. The following summarises the findings from the qualitative research questions:

Qualitative Outcome Findings

Team Cohesion

It can be concluded from the rich accounts of athletes’ and coaches’ experiences, that the adventure-based training program had a major impact on the team cohesion of both the Under 17 and Under 19 netball teams. The following summarises the major trends in the team cohesion qualitative results.

As a result of the intervention and the learning sequence the athletes were exposed to, relationships within both teams improved. This was especially evident within the under 19 team. Players improved their communication, trust and camaraderie, dysfunctional cliques dissolved, and players were able to resolve conflict that had led to dysfunctional behaviour and below par performances in the past.

Being involved in a shared experience that required teammates and coaching staff to work together to overcome adversity was instrumental in improving social relations within the team. Individual players had self-doubt as to their ability to perform many of the challenging adventure training tasks under adverse conditions. They developed however, awareness of their inefficiency and worked at applying skills that would improve their performance as a team. With these improved social and task skills, came a new determination to succeed. There was tremendous team interdependence around performing at the nationals, athletes believed they could win and set about taking a confident and focused attitude into all team performances.

Improved group-cohesion among the NSW netball players created an atmosphere of intense social and task bonding around the goal of winning a national championship, this attitude was supported by psychological skills to help athletes cope with the stresses of competition.

Increased ability to maintain concentration and control anxiety levels

The adventure based training intervention was designed to continually test and challenge the athletes ability to maintain their focus on a set task despite the intentional distractions and twists that would appear when the athletes least expected it.

These distractions included:

· Ending up at an 80 metre cliff and having to abseil off it during “a bush walk”.

· Having to cook dinner and clean up after 12 hours of hiking.

· Expecting to have hot showers in cabins, only to find a cold bucket of water waiting behind a clump of bushes.

· Expecting to sleep in tents but the tents were forgotten.

· Being woken at sunrise by bagpipes and having to complete a team swim.

· Being confronted with a claustrophobic caving experience, then having your lights taken from you, and then being required to work as a team to find your way out in the dark.

These twists in the adventure component of the intervention were designed to metaphor the distractions and pressures of elite sporting competition, deliberately creating anxiety levels that would mirror or exceed those of athletic competition. Players were challenged to monitor their thoughts and behaviours during these testing times. When distracted or overwhelmed they had to refocus their concentration, or use new mental skills to regain their composure so the team task that had been set for them could be completed. Athletes and coaches during this time experienced first hand the application of sport psychology techniques that eventually would be used on the netball court.

Increased Individual and Team Confidence

The adventure training intervention challenged athletes’ perceptions of what was possible. The structure of the intervention and the way it continually increased in challenge tested existing beliefs of what was possible and had athletes and coaches extending their self imposed comfort zones into realms of new possibilities. A strong metaphor within the treatment teams developed around what had been achieved during the adventure challenges where they learnt to work as a team. This success and accompanying feelings of confidence, and the attitude to work as one around a common goal, transferred back to netball training and competition.

Transfer of Learning from the Adventure Experience to Netball

The real test of this intervention’s success was whether the learning that took place during the adventure-training weekend would be transferred and benefit the athletes’ sporting endeavours on the netball court at the national championships. Athlete’s accounts of the implementation of skills learnt during the adventure training intervention, gave clear and unequivocal support for the notion of transfer from the adventure setting to netball. Rich athlete testimony gave accounts of the team being present for one another in the heat of competition, never giving up even when on the ropes, fighting their way out of trouble through a strong belief that “they could do it”, were common team themes. Individual athletes gave strong testimony of how the metaphor for caving helped them control anxiety levels in the pressure of goal shooting. Coaches described the use of centering and breathing control to maintain composure when under stress. All participants in the intervention believed that the adventure based training intervention had a major part in the teams success at netball nationals.

Qualitative Process Findings

It was an important goal of this investigation to attempt to identify the processes that enhanced and were beneficial in helping participants change and pull together as a team. Several key factors were identified as being instrumental in the success of the intervention.

The Adventure Environment: A Place for change!

Taking athletes away from their normal training venues into the outdoor environment was a great success; this initiative provided several benefits. The new and novel setting, with its ability to create stress and disequilibrium were a catalyst for growth and change. Through appropriate sequencing of activities, the level of stress was continually adjusted to meet the goals of the athletes. This allowed for experimentation with new psychological skills designed to help “self-monitor” and “self-regulate” an optimal performance state. These skills were then utilised by athletes as a team, both in the adventure setting and back at netball.

There is a paradoxical side to the above physical and psychological challenges the outdoor environment offers. The bush also provides a neutral ground where equals are created among those who venture into her depths; this was very evident in resolving deep negative team issues during the bush walk. During the hike, reflection and thinking about self and others led to open and honest communication that the teams had not previously experienced. This resulted in debilitating clique issues and poor communication practices being resolved. Players and coaches believed that these team improvements would not have occurred if they had remained back at their normal training venue.

The Role of the Facilitator as Change Agent

This investigation had its starting point at a national coaching conference where the coach of one of the NSW teams took the researcher to task over the negative experiences her team had had the previous year while attending a different adventure training program. From analysis and comparison of the teams adventure experiences, clear recommendations emerged.

Any program must ensure the matching of client’s goals and preferred learning styles with the skills of the facilitator. During previous adventure based training camps the NSW netball team required a developmental style of program but received a recreational one instead; players and coaches were left disillusioned. From this learning, the facilitation process in this investigation took a high priority in matching the teams needs, with an intervention that had strong isomorphic and metaphoric links to netball.

Players and coaches felt that this intervention provided these strong links through the way activities were presented and framed. Facilitators whether they are from an educational or sport psychology background, can learn from these lessons. The facilitator can be the real catalyst for change or recipe for disaster!

In addition to the above, this study adds to Lewin’s Change Theory where a change agent (facilitator) was seen as being critically important in all phases of the change process; Unfreezing, moving and refreezing, not just moving and refreezing as the previous theory had suggested. 

CONCLUDING COMMENTS

This study produced a substantial body of evidence supporting the efficacy of adventure-based training as a valid and viable methodology for enhancing the team cohesion and psychological skills development of elite athletes. In addition, an unexpected, but more significant outcome of the intervention was the positive and powerful impact the adventure experience had on the athletes’ performances in sporting competition. The evidence presented by those who participated in the intervention painted a vivid picture of a unique life changing experience that clearly played a major part in both NSW team’s success, in winning their respective national championships.

The outcomes and benefits for the athletes and coaches that underwent the intervention cannot be simply dismissed as a fringe teaching methodology for sport. Unmistakably, adventure-based training can make a difference to sporting team’s and their performance. Coaches and sport psychologists that are searching for a training method that could give players the edge should consider incorporating adventure-based training into their yearly training programs.

As well as implications for practice, this study made a strong contribution to research in the field of adventure-based training by demonstrating the transferability of learned skills from the adventure environment to the athletes’ lives on the sporting field and beyond. In the past adventure-based training had received much criticism for its inability to produce research that demonstrated the efficacy of its methodologies. This study helps to reverse this trend by adding to the growing body of knowledge supporting the power of adventure-based training to impact on and change participants’ lives.

BIOGRAPHY

Dr Ian Boyle is an outdoor education teacher in Kangaroo Valley NSW. He loves sport and adventures in the outdoors. He can be contacteded by e-mail on: i.boyle@tsc.nsw.edu.au and is happy to provide a full electronic version of this thesis to anyone who emails!


REFERENCES

Allain, M. (1996). The Effect of Adventure-Based Training on Team Cohesion. Unpublished Master Thesis Dalhosue University, Canada.  

Anderson, L, S. (1994). Outdoor adventure recreation and social integration. A social-psychological perspective. Unpublished PHD thesis. University of Minnesota, USA. 

Bisson, C. (1997). The effects of varying the sequence of categories of adventure activities on the development of group cohesion. Unpublished doctoral dissertation. University of Nth Colorado.  

Burns, R, B. (1994). Introduction to Research Methods. Longman Cheshire P/L. Melbourne. Australia. Carron, A. (1982). Cohesiveness in sport groups. Interpretations and considerations. Journal of Sport Psychology. 4, 123-138. 

Carron, A., Brawley, L. & Widmeyer, W. (1985) The development of an instrument to assess cohesion in sport

Hardy, L., Jones, G. &  Gould, D. (1996). Understanding Psychological Preparation for Sport. John Wiley & sons publishers. 

Henderson, K. (1993). The yin and yang of experiential education research. Journal of Experiential Education. 16(3), 49-54. 

Henderson, K. (1991). Dimensions of choice: A qualitative approach to recreation, parks, and leisure research. Venture Publishing. State College, PA. 

Kilty, K, A. & Meyer, B, B. (1999). Effective ropes/adventure interventions. Paper presented at the Association for the Advancement of Applied Sport Psychology annual conference. Banff, Alberta, Canada. September.  

Meyer, B. (2000). The Ropes and Challenge Course. A Quasi Experimental Examination. Perceptual and Motor Skills. 90, 1249-1257. 

Meyer, B, B. & Grochowski, D, O. (1999). The ropes course experience: a quasi-experimental examination. Paper presented at the meeting of the Association for the Advancement of Applied Sport Psychology, Hyannis, MA. 

Meyer, B, B. & Wenger, M, S. (1998). Atheletes and adventure education. An empirical investigation. International Jounal of Sport Psychology. 29: 243-266. 

Neill, J. (1998).Does outdoor education really work? A summary of recent meta analyses. Australian Journal of Outdoor Education. (3)1, 2-9. 

Priest, S. & Gass, M. (1992). Five generations of facilitated learning from adventure experiences. The Journal of Adventure Education and Outdoor Leadership. 10(3), 23-25. 

Rohnke, K. (1984). Silver Bullets. Project Adventure Inc. Publishers. 

Strauss, A. & Corbin, J. (1990). Basics of qualitative research. Grounded theory procedures and techniques. Sage Publications. Weinberg, R, S. & Gould, D. (1995).

Foundations of Sport and Excercise Psychology. Human Kinetics. Champaign, Ill.

 

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