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Record W2759734426

Perceiving the team environment: A multilevel analysis of psychological climate and effort among female athletes

2014· article· en· W2759734426 on OpenAlex
Colin D. McLaren, Kevin S. Spink, Kathleen Wilson

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Exercise, Movement, and Sport · 2014
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsCLARITYPsychologyAthletesMultilevel modelTeam sportSport psychologyExtant taxonSocial psychologyIce hockeyApplied psychologyDevelopmental psychologyMedicine
DOInot available

Abstract

fetched live from OpenAlex

Research has been devoted to better understanding how the perceived environment comes to manifest itself in the behavior of individuals (McGrath, 1984). Perceiving one’s environment as psychologically safe and meaningful (positive psychological climate) has been associated with a higher degree of personal engagement (James et al., 2008). In the sport setting, when male ice hockey players perceived a psychologically safe environment, engagement in the form of athlete-reported effort increased (Spink et al., 2013). Given that sex differences have emerged in extant climate literature (e.g., Carr et al., 2000), it was deemed important to further explore this relationship in a sample of female athletes. To do so, 180 participants (representing 16 teams) completed an adapted version of the Psychological Climate Questionnaire (PCQ; Brown & Leigh, 1996) and a 6-item perceived effort measure (Spink et al., 2013) following a late season practice. To account for nesting of players within teams (ICC = 0.08), a multilevel model used four subscales of the PCQ (supportive management, role clarity, self-expression, and contribution) to predict effort. Results revealed that two of the subscales (role clarity and contribution) significantly predicted effort (p < .001) accounting for 17.62% of the overall variance. This finding suggests that when female athletes perceive (a) a significant contribution to various team outcomes using their unique skill sets and (b) clear views surrounding role-related behaviors, they are more likely to report working hard. In relation to the study purpose, this pattern of results shared both similarities and differences with males. In terms of similarities, role clarity emerged as a predictor in both samples (Spink et al., 2013) whereas the climate subscales of self-expression emerged for males and contribution for females. While replication is needed, engagement in the form of self-reported effort appears to be associated with how both sexes perceive their team environment.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.864

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.295
Teacher spread0.277 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it