The Perceived Psychological Responsibilities of a Strength and Conditioning Coach.

Radcliffe, JN, Comfort, P, and Fawcett, T. The perceived psychological responsibilities of a strength and conditioning coach. J Strength Cond Res 32(10): 2853-2862, 2016-Research is limited in exploring the specific psychology-oriented responsibilities of the strength and conditioning professional. The present research explored the psychological responsibilities adopted by accredited strength and conditioning coaches. Participants comprised 10 coaches working within the United Kingdom, 3 within the United States, and 5 within Australia offering a cross-section of experience from various sport disciplines and educational backgrounds. Participants were interviewed either in person or via Skype. Thematic clustering was followed using interpretative phonological analysis to identify common themes. Over half (61%) of the respondents reported that their position as a strength and conditioning coach required additional psychology-oriented responsibilities. These comprised a counseling role in the absence of a psychologist and the use of "softer skills" in a mentoring role to the athlete during a challenging situation. The coach could play an influential role in shaping the mentality of the team. The coach identifies how the role results in working to relay information from the athlete to other support staff and similarly from the support staff to the athlete. In addition to identifying the resonant psychology-oriented responsibilities, discussion is made with specific focus on the ethical boundary within which strength and conditioning coaches must reside regarding the competencies to provide psychological support.

Barriers to the Prescription of Psychological Strategies by Strength and Conditioning Specialists.

Radcliffe, JN, Comfort, P, and Fawcett, T. Barriers to the prescription of psychological strategies by strength and conditioning specialists. J Strength Cond Res 32(7): 1948-1959, 2018-The purpose of this article was to explore the barriers to strength and conditioning coaches integrating psychological strategies within the strength and conditioning practice. The sample of accredited strength and conditioning coaches comprised 10 subjects working within the United Kingdom, 3 within the United Sates, and 5 within Australia offering a cross section of experience from a range sporting disciplines and educational backgrounds. Subjects were interviewed using semistructured interviews and thematic clustering was used using interpretative phenomenological analysis to identify common themes. It was evident that not incorporating psychological strategies into strength and conditioning practice could be attributed to either internal, personally governed beliefs, or external, environmentally governed situations. Internal sources consisted of insufficient knowledge either regarding the value of psychological strategies or methods of implementing such techniques; in addition, the implementation of psychological techniques was outside the remit of the coach and difficulty existed in demonstrating the effectiveness of interventions. External causes consisted of a lack of time, insufficient control and authority of training session content, and athletes' negative perceptions. Recommendations are made on the basis of eliminating the observed barriers to the inclusion of psychological strategies. This included the use of education programs for both strength and conditioning coaches and organizational gatekeepers and the suggestion for increased collaboration with qualified psychologists.

Psychological Strategies Included by Strength and Conditioning Coaches in Applied Strength and Conditioning.

This study provided the basis by which professional development needs can be addressed and add to the applied sport psychology literature from an underresearched sport domain. This study endeavored to use qualitative methods to explore the specific techniques applied by the strength and conditioning professional. Eighteen participants were recruited for interview, through convenience sampling, drawn from a previously obtained sample. Included in the study were 10 participants working within the United Kingdom, 3 within the United States, and 5 within Australia offering a cross section of experience from ranging sport disciplines and educational backgrounds. Participants were interviewed using semistructured interviews. Thematic clustering was used by interpretative phonological analysis to identify common themes. The practitioners referred to a wealth of psychological skills and strategies that are used within strength and conditioning. Through thematic clustering, it was evident that a significant emphasis is on the development or maintenance of athlete self-confidence specifically with a large focus on goal setting. Similarly, albeit to a lesser extent, there was a notable attention on skill acquisition and arousal management strategies. The strategies used by the practitioners consisted of a combination of cognitive strategies and behavioral strategies. It is important to highlight the main psychological strategies that are suggested by strength and conditioning coaches themselves to guide professional development toward specific areas. Such development should strive to develop coaches' awareness of strategies to develop confidence, regulate arousal, and facilitate skill and technique development.

Mining the Quantified Self: Personal Knowledge Discovery as a Challenge for Data Science.

The last several years have seen an explosion of interest in wearable computing, personal tracking devices, and the so-called quantified self (QS) movement. Quantified self involves ordinary people recording and analyzing numerous aspects of their lives to understand and improve themselves. This is now a mainstream phenomenon, attracting a great deal of attention, participation, and funding. As more people are attracted to the movement, companies are offering various new platforms (hardware and software) that allow ever more aspects of daily life to be tracked. Nearly every aspect of the QS ecosystem is advancing rapidly, except for analytic capabilities, which remain surprisingly primitive. With increasing numbers of qualified self participants collecting ever greater amounts and types of data, many people literally have more data than they know what to do with. This article reviews the opportunities and challenges posed by the QS movement. Data science provides well-tested techniques for knowledge discovery. But making these useful for the QS domain poses unique challenges that derive from the characteristics of the data collected as well as the specific types of actionable insights that people want from the data. Using a small sample of QS time series data containing information about personal health we provide a formulation of the QS problem that connects data to the decisions of interest to the user.

The perception of psychology and the frequency of psychological strategies used by strength and conditioning practitioners.

The study aimed to first examine the frequency of the psychological skills and strategies of strength and conditioning practitioners and second distinguish between demographic differences in relation to psychological skills and strategy use. The Strength and Conditioning Sport Psychology Questionnaire was developed to measure the frequency of use of 11 subscales. These consisted of goal setting, imagery, self-talk, mental toughness, attention control, relaxation, stress management, adherence, activation, self-confidence, and ego management. Each subscale demonstrated acceptable internal validity ale (mean interitem correlations ranged as 0.227-0.427). The instrument allowed up to 5 open-ended responses concerning skills considered most important to strength and conditioning practice and up to 5 psychological attributes considered detrimental within strength and conditioning. One hundred and two participants met the inclusion criteria (90 men and 12 women; age 34.7 ± 9.7 years; experience 7.4 ± 5.2 years; part time 36.5%; full time 63.5%). The respondents were registered with the following organizations: United Kingdom Strength and Conditioning Association: 41, National Strength and Conditioning Association: 48 and Australian Strength and Conditioning Association (ASCA): 48. Goal setting was found to be the most frequently used skill with mental imagery the least used with significant differences identified in the frequency of skill use. The strategies deemed to be most important were motivation and confidence with the most debilitating factors identified as a lack of motivation and a lack of confidence. When comparing demographics, overall skill use varied between practitioners with different experience with more experienced practitioners having greater skill use, both overall and particular individual skills. Participants accredited by the ASCA had a greater psychological skill use than those accredited by other bodies.

Data Science and its Relationship to Big Data and Data-Driven Decision Making.

Companies have realized they need to hire data scientists, academic institutions are scrambling to put together data-science programs, and publications are touting data science as a hot-even "sexy"-career choice. However, there is confusion about what exactly data science is, and this confusion could lead to disillusionment as the concept diffuses into meaningless buzz. In this article, we argue that there are good reasons why it has been hard to pin down exactly what is data science. One reason is that data science is intricately intertwined with other important concepts also of growing importance, such as big data and data-driven decision making. Another reason is the natural tendency to associate what a practitioner does with the definition of the practitioner's field; this can result in overlooking the fundamentals of the field. We believe that trying to define the boundaries of data science precisely is not of the utmost importance. We can debate the boundaries of the field in an academic setting, but in order for data science to serve business effectively, it is important (i) to understand its relationships to other important related concepts, and (ii) to begin to identify the fundamental principles underlying data science. Once we embrace (ii), we can much better understand and explain exactly what data science has to offer. Furthermore, only once we embrace (ii) should we be comfortable calling it data science. In this article, we present a perspective that addresses all these concepts. We close by offering, as examples, a partial list of fundamental principles underlying data science.