Coaches occupy a central role in sport, fulfilling instructional, organizational, strategic, and social relationship functions, and their relationships with athletes influence both skill development and psychosocial outcomes of sport participation. This review presents the major theoretical models and empirical results derived from coaching research, focusing on the measurement and correlates of coaching behaviors and on intervention programs designed to enhance coaching effectiveness. A strong empirical literature on motor skill development has addressed the development of technical sport skills, guided in part by a model that divides the skill acquisition process into cognitive, associative, and autonomous phases, each requiring specific coaching knowledge and instructional techniques. Social-cognitive theory’s mediational model, the multidimensional model of sport leadership, achievement goal theory, and self-determination theory have been highly influential in research on the psychosocial aspects of the sport environment. These conceptual models have inspired basic research on the antecedents and consequences of defined coaching behaviors as well as applied research on coach training programs designed to enhance athletes’ sport outcomes. Of the few programs that have been systematically evaluated, outcomes such as enjoyment, liking for coach and teammates, team cohesion, self-esteem, performance anxiety, athletes’ motivational orientation, and sport attrition can be influenced in a salutary fashion by a brief intervention with specific empirically derived behavioral guidelines that focus on creating a mastery motivational climate and positive coach-athlete interactions. However, other existing programs have yet to demonstrate efficacy in controlled outcome research.
Ronald E. Smith and Frank L. Smoll
Rebecca A. Zakrajsek and Jedediah E. Blanton
It is important for sport and exercise psychology (SEP) professionals to demonstrate that the interventions they employ make a difference. Assessing the degree of an intervention’s effectiveness depends first and foremost on the nature and scope of the intervention (i.e., the objective of the intervention) and its targeted group. Traditionally, interventions have been quite varied between the fields of sport psychology and exercise psychology; a common thread however, can be seen as an enhancement of the sport or exercise experience, along with an attempt to help the individual better self-regulate engagement with the targeted behavior or mindset. The central aim of enhancing the experience and increased self-regulation is oriented toward performance enhancement within sport psychology interventions, whereas within exercise psychology interventions the orientation is toward physical-activity adoption and better exercise program adherence. Although the two fields may have different objectives, it can be argued that sport psychology interventions—specifically psychological skills training (PST) interventions—can inform SEP professionals’ research and applied practices with both the sport and exercise populations. Psychological skills training includes the strategies and techniques used to develop psychological skills, enhance sport performance, and facilitate a positive approach to competition. Since the early 1980s, a growing body of evidence has supported that the PST interventions SEP professionals employ do make a difference. In particular, evidence from research in sport contexts supports the use of a multimodal approach to PST interventions—combining different types of psychological strategies (e.g., goal-setting, self-talk, imagery, relaxation)—because a multimodal approach has demonstrated positive effects on both psychological skills and sport performance. The research investigating the effectiveness of PST interventions in enhancing performance has primarily centered on adult athletes who compete at competitive or elite levels. Elite athletes are certainly important consumers of SEP services; however, SEP professionals have rightfully challenged researchers and practitioners to target other consumers of SEP services who they argue are as deserving of PST as elite athletes. For example, young athletes and coaches are two populations that have traditionally been overlooked in the PST research. PST interventions targeting young athletes can help them to develop (at the start of their sporting careers) the type of psychological skills that facilitate a positive approach to competition and better abilities to self-regulate their emotional responses to stressful competitive situations. Coaches are also performers with unique needs who could benefit from PST interventions. Researchers have begun to target these two populations and the results might be considered the most intriguing aspects of the current PST literature. Future research related to PST interventions should target exercise populations. Exercise professionals often operate as coaches in healthy behavior change (e.g., strength and conditioning coaches, personal trainers, etc.) and as such should also employ, and monitor responses to, PST. To facilitate further development and growth of PST intervention research in both sport and exercise settings, SEP professionals are encouraged to include a comprehensive evaluation of program effectiveness. In particular, four major areas to consider when evaluating PST programs are (a) the quality of the PST service delivery (e.g., the knowledge, delivery style, and characteristics of the SEP professional); (b) assessment of the sport psychological strategies participants used as a result of the PST program; (c) participants’ perceptions of the influence of the PST program on their psychological skills, performance, and enjoyment; and (d) measurement of participants psychological skills, performance, and enjoyment as a result of the PST program.
Kathleen Someah, Christopher Edwards, and Larry E. Beutler
There are many approaches to psychotherapy, commonly called “schools” or “theories.” These schools range from psychoanalytic, to variations of insight- and conflict-based approaches, through behavioral and cognitive behavioral approaches, to humanistic/existential approaches, and finally to integrative and eclectic approaches. Different and seemingly new approaches typically have been informed by older and more established ones. For instance, cognitive behavioral therapy (CBT), one of the more widely used approaches, evolved from traditional behavior therapy but has become sufficiently distinct by adding its own complex variations so as functionally to represent an approach of its own. New approaches abound both in number and in complexity. Modern clinicians have had to become increasingly widely read and creative in trying to understand the ways in which patients may be helped. The sheer number of approaches, which has climbed into the hundreds, has challenged the field to find ways of ensuring that the treatments presented are effective. The advent of Evidence Based Practices (EBP) throughout the healthcare fields has placed the responsibility on those who advocate for particular types of treatment scientifically to demonstrate their efficacy and effectiveness. While this movement has brought standards to the field and has offered some assurance that psychotherapy is usually helpful, there remains much debate about whether the many different schools produce different results from one another. The debate about how best to optimize positive effects of psychotherapy continues, and there remain many questions to be asked of psychotherapy theories and of research on these approaches.
Matthew S. Fritz and Ann M. Arthur
Moderation occurs when the magnitude and/or direction of the relation between two variables depend on the value of a third variable called a moderator variable. Moderator variables are distinct from mediator variables, which are intermediate variables in a causal chain between two other variables, and confounder variables, which can cause two otherwise unrelated variables to be related. Determining whether a variable is a moderator of the relation between two other variables requires statistically testing an interaction term. When the interaction term contains two categorical variables, analysis of variance (ANOVA) or multiple regression may be used, though ANOVA is usually preferred. When the interaction term contains one or more continuous variables, multiple regression is used. Multiple moderators may be operating simultaneously, in which case higher-order interaction terms can be added to the model, though these higher-order terms may be challenging to probe and interpret. In addition, interaction effects are often small in size, meaning most studies may have inadequate statistical power to detect these effects. When multilevel models are used to account for the nesting of individuals within clusters, moderation can be examined at the individual level, the cluster level, or across levels in what is termed a cross-level interaction. Within the structural equation modeling (SEM) framework, multiple group analyses are often used to test for moderation. Moderation in the context of mediation can be examined using a conditional process model, while moderation of the measurement of a latent variable can be examined by testing for factorial invariance. Challenges faced when testing for moderation include the need to test for treatment by demographic or context interactions, the need to account for excessive multicollinearity, and the need for care when testing models with multiple higher-order interactions terms.
Matthew S. Fritz and Houston F. Lester
Mediator variables are variables that lie between the cause and effect in a causal chain. In other words, mediator variables are the mechanisms through which change in one variable causes change in a subsequent variable. The single-mediator model is deceptively simple because it has only three variables: an antecedent, a mediator, and a consequent. Determining that a variable functions as a mediator is a difficult process, however, because causation can be inferred only when many strict assumptions are met, including, but not limited to, perfectly reliable measures, correct temporal design, and no omitted confounders. Since many of these assumptions are difficult to assess and rarely met in practice, the significance of a statistical test of mediation alone usually provides only weak evidence of mediation. New methodological approaches are constantly being developed to circumvent these limitations. Specifically, new methods are being created for the following purposes: (1) to assess the impact of violating assumptions (e.g., sensitivity analyses) and (2) to make fewer assumptions and provide more flexible analysis techniques (e.g., Bayesian analysis or bootstrapping) that may be more robust to assumption violations. Despite these advances, the importance of the design of a study cannot be overstated. A statistical analysis, no matter how sophisticated, cannot redeem a study that measured the wrong variables or used an incorrect temporal design.