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Commitment in Sport: The Role of Coaching Style and Autonomous vs. Controlled Motivation

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Journal of Applied Sport Psychology
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This study examined the relationships amongst coaching style (autonomy-supportive; controlling), athlete motivation (autonomous; controlled), sport commitment (enthusiastic; constrained), and intention to continue in sport. Participants were 154 competitive football/soccer players (M = 22.21 years). Partial least squares structural equation modelling (PLS-SEM) revealed positive associations among adaptive motivational (autonomy-supportive coaching style, autonomous motivation) and commitment (enthusiastic) variables. Similarly, positive links were found among maladaptive motivational (controlling coaching style, controlled motivation) and commitment (constrained) constructs. Additionally, results indicated differential relationships between enthusiastic and constrained dimensions of commitment and intention to continue. Findings are discussed in terms of their theoretical and practical implications.
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RUNNING HEAD: COMMITMENT IN SPORT
Commitment in Sport: The Role of Coaching Style and Autonomous versus Controlled
Motivation
Liam ONeil & Ken Hodge*
University of Otago, New Zealand
*Corresponding Author:
Ken Hodge, Ph.D.
School of Physical Education, Sport, & Exercise Sciences
University of Otago
46 Union Street, Dunedin, New Zealand
Email: ken.hodge@otago.ac.nz
COMMITMENT IN SPORT 1
Abstract
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This study examined the relationships amongst coaching style (autonomy-supportive;
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controlling), athlete motivation (autonomous; controlled), sport commitment (enthusiastic;
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constrained), and intention to continue in sport. Participants were 154 competitive
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football/soccer players (M = 22.21 years). Partial least squares structural equation modelling
5
(PLS-SEM) revealed positive associations among adaptive motivational (autonomy-supportive
6
coaching style, autonomous motivation) and commitment (enthusiastic) variables. Similarly,
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positive links were found among maladaptive motivational (controlling coaching style,
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controlled motivation) and commitment (constrained) constructs. Additionally, results
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indicated differential relationships between enthusiastic and constrained dimensions of
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commitment and intention to continue. Findings are discussed in terms of their theoretical and
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practical implications.
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Lay Summary: This study investigated the relationships among motivational factors (coach
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interpersonal style; athlete motivational orientation), commitment perceptions toward sport,
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and intentions to continue in sport (n = 154; M = 22.21 years). Overall, findings highlighted the
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important combined role of both commitment and motivation in understanding and explaining
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athletes' sport continuation.
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Introduction
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Sport commitment refers to the psychological state underlying athletes’ persistence in
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sport over time (Scanlan, Chow, Sousa, Scanlan, & Knifsend, 2016). This psychological state
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reflects a motivational force which binds athletes to their chosen sport, and consequently, is
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said to facilitate patterns of continued participation. Over the past decade, scholars have
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provided considerable evidence supporting the role of commitment as an important
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psychological construct underpinning athletes’ sport persistence (e.g., Casper, Gray, & Stellino,
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2007; Scanlan et al., 2016; Weiss & Weiss, 2006). The Sport Commitment Model (SCM;
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Scanlan et al., 2016) represents the major theoretical framework guiding much of this sport
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commitment research. Developed to examine commitment in sport and to explain why athletes
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persist in this setting, the SCM distinguishes between two dimensions of sport commitment
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(i.e., enthusiastic; constrained). Enthusiastic commitment represents athletes’ “desire and
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resolve to persist in a sport over time” (Scanlan et al., 2016, p. 235). Constrained commitment,
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by contrast, represents athletes’ “perceptions of obligation to persist in a sport over time”
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(Scanlan et al., 2016, p. 235).
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It could be argued that these two commitment dimensions share conceptual parallels
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with the two broad types of motivation conceptualised in Self-Determination Theory (SDT;
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Ryan & Deci, 2017): autonomous motivation (experiencing a full sense of volition, agency,
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choice, and self-endorsement when engaging in an activity or behaviour) and controlled
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motivation (feeling either externally or internally pressured or compelled to engage in an
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activity or behaviour). Enthusiastic commitment, in a similar manner to autonomous
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motivation, reflects engagement in sport due to feelings of agency, choice, and interest in the
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activity itself (i.e., “want to”). While constrained commitment, in a similar fashion to controlled
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motivation, represents sport involvement resulting from feelings of external control and
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obligation on behalf of the participant (i.e., “have to”). Although scarce, research has provided
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initial empirical support for the theoretical connection between SCM commitment and SDT
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motivation (Garcia-Mas et al., 2010; Weiss & Weiss, 2003, 2006).
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While certain features of multidimensional SCM commitment and SDT motivation
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share conceptual similarities, they ultimately represent distinct psychological variables. From
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a theoretical viewpoint, motivation is considered a global variable which energises and directs
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behaviour (Ryan & Deci, 2017). As a result, autonomous and controlled motivation are viewed
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as distal psychological variables influencing motivated behaviour at the contextual level. This
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might explain why despite reporting significant associations between different forms of
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motivation (i.e., autonomous vs. controlled) and sport persistence, empirical research has found
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the amount of variance explained to be modest/moderate. On the other hand, sport commitment
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is regarded as a psychological state which binds athletes to a specific commitment target (e.g.,
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club, team, sporting activity). Therefore, enthusiastic and constrained commitment are
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considered proximal psychological variables which have a direct, immediate influence on
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motivated behaviour (Boiché & Sarrazin, 2009). Jackson, Gucciardi, Hodge, and Dimmock
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(2017) summarised this distinction by asserting that an athlete may exhibit motivation “for”
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one’s sport and commitment “to” one’s sport.
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Within the SDT framework, several authors have contended that coaches interpersonal
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style (coaching style) plays a particularly influential role in shaping athlete motivation and
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subsequent behaviour. SDT research has primarily focused on the degree to which coaches
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employ an autonomy-supportive or controlling coaching style although coaches can adopt
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both styles to varying degrees (e.g., Fenton, Duda, Quested, & Barrett, 2014; Haerens et al.,
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2018; Ntoumanis, Barkoukis, Gucciardi, & Chan, 2017). An autonomy-supportive coaching
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style characterises coaches who acknowledge their athletes’ thoughts and feelings, encourage
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choice, self-initiation, regulation of one’s own behaviour, and minimise the use of pressure and
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demands to control others (Gagné, Ryan, & Bargmann, 2003). In contrast, controlling coaches
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may behave in a coercive, pressuring, and authoritarian manner to impose a specific and
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preconceived way of thinking and behaving upon their athletes (Bartholomew et al., 2010).
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SDT literature provides substantial evidence supporting the positive relationship between an
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autonomy-supportive style and autonomous motivation (e.g., Fenton et al., 2014; Haerens et
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al., 2018; Hodge & Lonsdale, 2011), and positive association between a controlling style and
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controlled motivation (Fenton et al., 2014; Haerens et al., 2018; Pelletier et al., 2001).
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Based on theoretical predictions from both the SCM and SDT, the following hypotheses
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were tested: i) an autonomy-supportive coaching style would be positively associated with
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autonomous motivation, which, in turn, would be positively associated with enthusiastic
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commitment; ii) controlling coaching style would be positively associated with controlled
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motivation, which, in turn, would be positively associated with constrained commitment; iii)
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both enthusiastic and constrained commitment would be positively associated with intention to
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continue in sport; iv) enthusiastic and constrained commitment would act as mediating
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variables between autonomous and controlled motivation and intention to continue in sport.
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These hypotheses were tested via the specification of two theoretically opposing path models:
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a hypothesised model reflecting the aforementioned postulates (coaching style motivation
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→ commitment → intention), and an alternative model in which commitment precedes
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motivation (coaching style → commitment → motivation → intention).
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Methods
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Participants
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Participants were 154 football/soccer players (96 males, 52 females, six individuals did
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not report gender), with an average age of 22.21 years (SD = 5.51; range = 17-51), who had
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participated in football for an average of 15.6 years (range = 4-46 yrs, SD = 5.49). Athletes
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were predominantly of New Zealand European (Caucasian) descent (n = 123, 79.87% of the
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sample). Athletes had been competing under the guidance of their current coach for an average
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1.8 seasons (range = 1-18 seasons, SD = 2.63).
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Measures
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Autonomy-supportive coaching style. An adapted version of the 14-item Health Care
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Climate Questionnaire (HCCQ; Williams, Cox, Kouides, & Deci, 1999) was used to assess
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athletes’ perceptions of autonomy-supportive strategies exhibited by their coach. Participants
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responded using a seven-point Likert scale (1 = Strongly disagree; 7 = Strongly agree). Several
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studies have supported the psychometric properties of adapted versions of the HCCQ in the
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sport context (e.g., Hodge & Lonsdale, 2011; Ntoumanis et al., 2017).
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Controlling coaching style. The 15-item Controlling Coach Behaviors Scale (CCBS;
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Bartholomew et al., 2010) was employed to assess athletes’ perceptions of controlling
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behaviours and strategies conveyed by their coach. Participants provided answers using a
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seven-point Likert scale (1 = Strongly disagree; 7 = Strongly agree). The CCBS contains four
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subscales measuring: controlling use of rewards, negative conditional regard, intimidation, and
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excessive personal control. Past research provides robust evidence supporting the psychometric
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properties of the CCBS and the calculation of an overall score (e.g., Bartholomew et al., 2010;
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Ntoumanis et al., 2017).
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Autonomous and controlled motivation. The 24-item Behavioral Regulation in Sport
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Questionnaire-6 (BRSQ-6; Lonsdale, Hodge, & Rose, 2008) was used to assess autonomous
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and controlled motivation at the contextual level. The BRSQ-6 includes subscales measuring
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amotivation (AM), external regulation (EX), introjected regulation (IJ), identified regulation
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(ID), integrated regulation (IG), and intrinsic motivation (IM). Participant responses were
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recorded using a seven-point Likert scale (1 = Not at all true; 7 = Very true). Research has
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demonstrated support for the psychometric properties of the BRSQ (e.g., Hodge & Lonsdale,
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2011; Lonsdale et al., 2008). Scores for autonomous motivation were calculated using the
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following formula: 2 × IM + IG + ID; while controlled motivation was calculated using: 2 × IJ
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+ 2 × EX (Lonsdale et al., 2008).
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Enthusiastic and constrained commitment. The Sport Commitment Questionnaire-2
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(SCQ-2; Scanlan et al., 2016) was employed to measure athletes’ commitment to their current
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sport participation. The 11-item SCQ-2 contains two subscales measuring the two dimensions
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of sport commitment proposed in the SCM (Scanlan et al., 2013, 2016): enthusiastic
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commitment and constrained commitment. Participants responded to each item using a five-
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point Likert scale (1 = Strongly disagree; 5 = Strongly agree). Preliminary research has
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documented support for the psychometric properties of the SCQ-2 (Scanlan et al., 2016).
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Intention to continue. Two items measuring intention to continue in sport were adapted
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from Gucciardi and Jackson (2015; e.g., “I intend to continue to participate in football next
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season”, “Will you continue to participate in football next season?). Responses were given by
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participants using a seven-point Likert scale (1 = Extremely unlikely / Definitely plan not to; 7
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= Extremely likely / Definitely plan to). Gucciardi and Jackson (2015) found these measurement
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items to possess adequate psychometric properties.
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Procedure
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Teams were contacted and informed of the purpose of the study. With permission, the
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first author was provided an opportunity to meet with athletes immediately before an agreed
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upon training session. After informing athletes of the voluntary, anonymous nature of
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participation and obtaining informed consent, the questionnaire was administrated to willing
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participants in the absence of coaches. Data collection occurred from early to mid-season.
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Ethical approval for this study was granted by the researchers’ university ethics committee.
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Data Analysis
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A hypothesised (coaching style → motivation → commitment → intention) and
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alternative (coaching style → commitment → motivation → intention) path model was tested
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using partial least squares structural equation modelling (PLS-SEM) in SmartPLS 3 (Ringle,
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Wende, & Becker, 2015). The PLS-SEM approach follows a two-stage process: measurement
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and structural model evaluation. The measurement model evaluation involved testing normality
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of data distribution (univariate skewness and kurtosis), internal consistency reliability
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(composite reliability and Cronbach’s alpha), convergent validity (average variance extracted),
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and discriminant validity (indicator cross-loadings and heterotrait-monotrait ratio). The
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structural model evaluation involved estimating multicollinearity (variance inflation factor),
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path coefficients, variance, effect sizes (Cohen’s f 2 and q2), predictive relevance (Stone-
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Geisser’s Q2), and absolute model fit (SRMR). Mediation hypotheses were tested by specifying
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a combined effects model incorporating total, direct, and indirect effects. The significance of
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these effects was estimated by constructing 95% bias-corrected and accelerated confidence
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intervals based on a bootstrapping procedure with 5,000 resamples. To compare hypothesised
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and alternative model predictions, we tested whether types of motivation mediated the
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relationship between commitment dimensions and intention to continue. For more information
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on statistical procedures used in this study, see Supplement 1.
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Results
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Descriptive statistics, internal reliability estimates, and bivariate correlations are
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presented in Table 1. Preliminary analyses supported the reliability and validity of the
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measurement model (see Supplement 2). In the hypothesised model (see Figure 1), expected
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positive paths were significantly different from zero, while negative paths were not significant,
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apart from the path linking autonomous motivation to constrained commitment (path estimate
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= -.46, p < .001). Generally, the hypothesised model reported stronger relationships between
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path model constructs compared to the alternative model (see Figure 1 & 2). Most notably,
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enthusiastic commitment (path estimate = .53, p < .001) shared a stronger relationship with
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intention to continue than autonomous motivation (path estimate = .34, p < .001). Although
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both path models demonstrated acceptable/adequate fit in the PLS-SEM context (Hair, Hult,
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Ringle, & Sarstedt, 2017), the hypothesised model (SRMR = .09) fit the data slightly better than
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the alternative model (SRMR = .10). A central criterion for each model’s assessment was the
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coefficient of determination (R2). Across models, we found a greater proportion of variance
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explained in the outcome variable (i.e., intention to continue) from the hypothesised model (R2
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= .38) as opposed to the alternative model (R2 = .20). Overall, these results informed our
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decision to accept the hypothesised model over the alternative model.
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As shown in Table 2, the path between autonomous motivation and intention to continue
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displayed the only significant indirect effect of the two hypothesised model mediational
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processes. An examination of the specific indirect pathways associated with this indirect effect
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revealed that both the path from autonomous motivation enthusiastic commitment (path
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estimate = .61, p < .001, 54% of indirect effect) and from enthusiastic commitment → intention
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to continue (path estimate = .53, p < .001, 46% of indirect effect) accounted for large
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proportions of this mediated effect. These results provided substantial evidence supporting the
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presence of complete mediation. The mediation results of the alternative model further
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supported this inference with the indirect effect from enthusiastic commitment to intention to
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continue via autonomous motivation being non-significant (see Table 2).
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Discussion
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Our findings provided empirical support that commitment and motivation are
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conceptually distinguishable variables. This was demonstrated by three separate statistical
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measures used in model evaluation. First, low VIF values revealed minimum multicollinearity
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issues among path model constructs (see Supplement 2). Second, moderate-strong bivariate
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correlations (.62 & .47; see Table 1) were found between both autonomous motivation and
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enthusiastic commitment and controlled motivation and constrained commitment these
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correlations did not meet the critical threshold (r > .80) to indicate the presence of significant
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conceptual overlap between constructs. Finally, low HTMT ratios were observed among types
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of commitment and motivation when assessing construct-level discriminant validity (see
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Supplement 2). Altogether these results substantiated our contention that autonomous and
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controlled motivation are conceptually distinct from enthusiastic and constrained commitment.
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Autonomy-Supportive Coaching, Autonomous Motivation, & Enthusiastic Commitment
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Results revealed that an autonomy-supportive coaching style had a weak, positive
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association with autonomous motivation (path estimate = .22), which, in turn, had a strong,
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positive relationship with enthusiastic commitment (path estimate = .61). Taken collectively,
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these results corroborate those of Weiss and Weiss (2003, 2006) who found athletes
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demonstrating attraction-based (i.e., enthusiastic) commitment reported significantly higher
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perceptions of coach support and intrinsic motivation the core behavioural regulation of
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autonomous motivation than athletes displaying entrapment-based (i.e., constrained)
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commitment. These findings provided full support for Hypothesis 1.
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The strength of the relationship between autonomous motivation and enthusiastic
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commitment may be explained with regard to the psychological process of internalisation which
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is central to SDT. According to Ryan and Deci (2017), internalisation refers to the process
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whereby individuals actively assimilate values, beliefs, or behavioural regulations from
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external sources and transform them into their own. At higher levels of internalisation (i.e.,
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autonomous motivation; enthusiastic commitment), behaviours are experienced as being
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volitionally endorsed and self-regulated; whereas at lower levels of internalisation (i.e.,
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controlled motivation; constrained commitment), behaviour is perceived as being primarily
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externally controlled and regulated (Ryan & Deci, 2017). Organisational psychology research
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has demonstrated support for this contention with scholars suggesting that an individual’s
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innate internalisation process might act as the mechanism linking commitment and motivation
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(Gagné, Chemolli, Forest, & Koestner, 2008; Meyer, Becker, & Vandenberghe, 2004). For
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instance, Gagné et al. (2008, p. 237) postulated that “more internalised forms of commitment
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may develop through internalisation of motivation”. In the sport context, motivation is assumed
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to influence an athlete’s type of sport commitment through the extent to which the values and
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behavioural regulations of an athlete’s sporting experience are internalised. It seems that
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athletes exhibiting autonomous motivation (i.e., high internalisation) might experience a
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willingness to engage in sport which potentially leads to perceptions of “wanting to” (i.e.,
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enthusiastic commitment) continue sport participation.
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Controlling Coaching, Controlled Motivation, & Constrained Commitment
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Hypothesis 2 was fully supported. Results indicated coaches controlling style had a
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moderate, positive relationship with athletes’ controlled motivation (path estimate = .42). This
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finding was consistent with previous SDT research illustrating a positive association between
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coaches controlling style and controlled motivation (Fenton et al., 2014; Haerens et al., 2018;
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Pelletier et al., 2001). Results further revealed controlled motivation to have a moderate,
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positive association with constrained commitment (path estimate = .38). This corroborated
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Weiss and Weiss’ (2003, 2006) findings that athletes exhibiting entrapment-based (i.e.,
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constrained) commitment reported higher levels of extrinsic motivation and amotivation than
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athletes exhibiting attraction-based (i.e., enthusiastic) commitment. This finding further
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substantiated the argument for internalisation in explaining the commitment-motivation
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relationship. From an SDT perspective, controlling coaching behaviours and the resulting
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maladaptive internalisation process means athletes perceived their behaviours as being
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regulated by external factors (i.e., controlled motivation; constrained commitment). Extending
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COMMITMENT IN SPORT 11
the psychological process of internalisation to explain the development of constrained
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commitment, it was postulated that when exhibiting controlled motivation (i.e., low
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internalisation), athletes might sense an obligation to participate in sport and thereby experience
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perceptions of “having to” maintain their involvement in sport (i.e., constrained commitment).
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Commitment Dimensions and Intention to Continue in Sport
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The hypothesis linking commitment dimensions with athletes’ intention to continue in
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sport was partially supported. Results showed enthusiastic commitment to have a strong,
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positive association with intention to continue in sport (path estimate = .53). This finding
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provided support for a positive association between enthusiastic commitment and self-reported
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behavioural persistence and corroborated initial empirical support for the positive association
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between an athlete’s initial intention and subsequent behavioural persistence in sport (path
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estimate = .50; Gucciardi & Jackson, 2015). Across path models, enthusiastic commitment
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(path estimate = .53) shared a stronger relationship with intention to continue than autonomous
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motivation (path estimate = .34). This offered additional support for enthusiastic commitment’s
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position as a proximal variable in relation to sport persistence (Boiché & Sarrazin, 2009).
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Contrary to SCM premises, constrained commitment was found to have a weak,
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negative association with intention to continue in sport (path estimate = -.16). Despite this
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association only approaching significance (p = .08), our finding was consistent with Weiss and
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Weiss’ (2006) longitudinal study which found that a greater percentage of athletes who reported
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“having to” commit to sport (i.e., constrained commitment) one year earlier, had discontinued
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their participation compared to athletes who reported “wanting to” commit to sport (i.e.,
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enthusiastic commitment). In addition, this finding supported research in the exercise domain
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which has found only the “want to” dimension of commitment to be associated with positive
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exercise behaviour (e.g., Wilson et al., 2004). As noted earlier, it is reasonable to expect
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COMMITMENT IN SPORT 12
differential outcomes to result from the two commitment dimensions (Wilson et al., 2004). It
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could be argued that enthusiastic commitment might lead to longer-term intentions to continue,
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whereas constrained commitment may be linked with shorter-term intentions to continue.
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Alternatively, athletes who experience constrained commitment might feel stronger intentions
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toward dropout and conversely weaker intentions to continue (Guillet et al., 2002).
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Enthusiastic and Constrained Commitment: Psychological Mediators?
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This was the first study to examine the hypothesis that sport commitment may act as a
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psychological mechanism mediating the relationship between motivation and intention to
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continue in sport. Overall, this fourth hypothesis was partially supported. We hypothesised that
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enthusiastic commitment would mediate the relationship between autonomous motivation and
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intention to continue in sport. Findings provided considerable support for this part of
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Hypothesis 4 (see Table 2), empirically substantiating the role of enthusiastic commitment as
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completely mediating the relationship between autonomous motivation and intention to
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continue. This mediation process was further supported by findings that autonomous motivation
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did not mediate the relationship between enthusiastic commitment and intention to continue.
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An important implication of this finding is that autonomous motivation may not necessarily
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lead to sport persistence under circumstances when an athlete fails to express a firm desire to
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remain in their given sport (i.e., enthusiastic commitment). Constrained commitment was also
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examined as a potential mediating variable between controlled motivation and intention to
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continue. This relationship was rejected with the indirect effect from controlled motivation to
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intention to continue in sport via constrained commitment being non-significant (p > .05).
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Strengths, Limitations, & Future Research Directions
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This study extended previous research examining sport persistence by assessing both
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commitment dimensions and integrating them with autonomous and controlled motivation.
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COMMITMENT IN SPORT 13
Nevertheless, this study was not without limitations. First, this study used cross-sectional, self-
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report data, preventing causal relationships being inferred from these findings. Second, this
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study was limited by focusing on athletes’ intentions rather than actual behaviour. Third, the
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study sample was recruited primarily from a young adult population. Finally, this study was
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limited insofar as it only examined one team sport (i.e., football/soccer).
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A primary applied implication of the current study was the apparent utility of SDT
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concepts in helping promote an optimal commitment state (i.e., enthusiastic commitment) for
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athletes’ sport persistence. Based on our findings, coaches should consider adopting autonomy-
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supportive strategies to foster the development of autonomous motivation and, in turn,
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enthusiastic commitment. These adaptive motivational conditions are expected to facilitate
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athletes’ long-term engagement in sport. There is also reason to believe that the provision of
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overall need-support (i.e., autonomy-support, competence-support, relatedness-support) might
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further enhance athletes’ enthusiastic commitment by tapping into additional sources of this
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commitment dimension (i.e., desire to excel, sport enjoyment, valuable opportunities). For
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example, it is reasonable to expect that competence-supportive coaching behaviours and
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strategies would strengthen athletes’ desire to excel in sport. In our ongoing effort to encourage
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athletes’ persistence in sport, it is also important to ensure we do not selectively target the
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development of autonomous motivation or enthusiastic commitment by itself. Each construct
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seems to play a crucial role in underpinning this participation behaviour and thus warrants equal
310
attention by practitioners. Future research employing longitudinal designs is necessary when
311
examining these constructs in order to directly examine the behavioural consequence of sport
312
persistence over time. This would be particularly useful in determining the temporal
313
relationship between commitment dimensions (i.e., enthusiastic vs. constrained) and
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behavioural persistence in sport. As noted earlier, future research might hypothesise constrained
315
commitment to predict short-term sport persistence, and enthusiastic commitment to predict
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COMMITMENT IN SPORT 14
long-term sport persistence. Future research should also consider experimentally examining the
317
efficacy of SDT-based interventions aimed at promoting sport commitment.
318
This study provided novel insights into the links between commitment, motivation, and
319
athletes’ intention to continue in sport. In describing the correlates of this continuance intention,
320
motivation was viewed as a distal psychological variable forming the underlying basis of
321
athletes’ intention to continue; commitment was considered a proximal psychological variable
322
exerting a direct, immediate influence on intentions to continue. Our findings demonstrated
323
support for this contention, highlighting the role of commitment as a potential psychological
324
mechanism mediating the relationship between motivation and intention to continue in sport.
325
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COMMITMENT IN SPORT 17
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COMMITMENT IN SPORT 18
Table 1. Descriptive Statistics, Internal Reliability Estimates, and Bivariate Correlations Among Coaching Style, Motivation, Commitment, and
Intention to Continue.
Variable
M
SD
1
3
5
6
7
1 Autonomy-Supportive Coaching Style
5.40
1.04
(.96)
2 Controlling Coaching Style
2.26
.93
-.36**
3 Autonomous Motivation
23.69
4.44
.25**
(.84)
4 Controlled Motivation
9.84
6.62
-.13
-.18*
5 Enthusiastic Commitment
4.28
.67
.11
.62***
(.92)
6 Constrained Commitment
1.79
.75
-.15
-.53***
-.39**
(.86)
7 Intention to Continue
6.34
1.26
.12
.42***
.60***
-.32**
(.99)
Note: Internal reliability estimates (composite reliabilities) provided on the diagonal in parentheses.
* p < .05, ** p < .01, *** p < .001.
COMMITMENT IN SPORT 19
Table 2. Examining Mediation: Total, Direct, and Indirect Effects.
Relationship
Total
Effect
Direct
Effect
Indirect
Effect
Hypothesised Model
Autonomous Motivation → Intention to Continue
(via Enthusiastic Commitment)
.43***
.03
.40***
Controlled Motivation → Intention to Continue
(via Constrained Commitment)
.07
.15
-.08
Alternative Model
Enthusiastic Commitment → Intention to Continue
(via Autonomous Motivation)
.55***
.53***
.02
Constrained Commitment → Intention to Continue
(via Controlled Motivation)
-.10
-.16
.06
Note: *** p < .001.
COMMITMENT IN SPORT 20
Figure 1. Hypothesised model of coaching style, motivation, commitment, and intention to continue.
Note: * p < .05, *** p < .001
.38***
.53***
R2 = .38
-.16
.61***
.42***
R2 = .39
-.06
.22*
.03
-.05
-.46***
R2 = .42
R2 = .17
R2 = .06
-.39***
COMMITMENT IN SPORT 21
Figure 2. Alternative model of coaching style, motivation, commitment, and intention to continue.
Note: * p < .05, *** p < .001
R2 = .48
.48***
.34***
R2 = .20
.15
.49***
.22*
-.11
.06
-.07
-.34***
.02
R2 = .23
R2 = .07
R2 = .02
-.39***
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Following a thorough review of the current updated Sport Commitment Model, new candidate commitment sources for possible future inclusion in the model are presented. They were derived from data obtained using the Scanlan Collaborative Interview Method. Three elite New Zealand teams participated: amateur All Black rugby players, amateur Silver Fern netball players, and professional All Black rugby players. An inductive content analysis of these players' open-ended descriptions of their sources of commitment identified four unique new candidate commitment sources: Desire to Excel, Team Tradition, Elite Team Membership, and Worthy of Team Membership. A detailed definition of each candidate source is included along with example quotes from participants. Using a mixed-methods approach, these candidate sources provide a basis for future investigations to test their viability and generalizability for possible expansion of the Sport Commitment Model.
Article
Although sport commitment has received wide spread theoretical and empirical attention over the past 15 years, its application to adult sport participants has gone largely ignored. This study examined the determinants of adult tennis players' motivation to continue involvement using the sport commitment model (Scanlan, Carpenter, Schmidt, Simons, & Keeler, 1993) as a theoretical framework, and extended the model to participation frequency and purchase intention. Based on previous research using the sport commitment model, a revised direct/indirect model, in which enjoyment was the mediator of the relationships between determinants and level of commitment, was also tested. Data were gathered via a web-based questionnaire from community tennis association members (N = 537). Relationships among variables were tested and a comparison of models was tested using structural equation modelling. With the sport commitment model, personal investment, enjoyment, involvement opportunities, and social support were found to be significant predictors of sport commitment, while commitment significantly predicted participation frequency and purchase intention. Tests of the direct/indirect model indicate acceptable model fit, although not as good as the original model. However, this model suggests involvement alternatives and social constraints on tennis enjoyment. Results can be used to develop customer-oriented marketing strategies targeted for the adult tennis participant.