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Record W2952087381

Examining the factor structure of an abbreviated Sport-Multidimensional Perfectionism-2 Scale

2014· article· en· W2952087381 on OpenAlexaffabout
Michael R. Lizmore, John G.H. Dunn, Janice Causgrove-Dunn

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPsychology
TopicPerfectionism, Procrastination, Anxiety Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPsychologyPerfectionism (psychology)AthletesTest (biology)Scale (ratio)Social psychologyPhysical therapyMedicine
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this study was to examine the factor structure of an abbreviated version of the Sport-Multidimensional Perfectionism Scale-2 (Sport-MPS-2: Gotwals & Dunn, 2009) using data provided by 343 competitive curling athletes (M age = 30.78 years, SD = 7.93). The original Sport-MPS-2 contains 42-items that measure six facets of perfectionism: Personal Standards (PS: 7 items), Organization (ORG: 6 items), Perceived Parental Pressure (PPP: 9 items), Perceived Coach Pressure (PCP: 6 items), Concern Over Mistakes (COM: 8 items), and Doubts About Actions (DAA: 6 items). To reduce the time participants require to complete the instrument, five of the original PPP items were removed from the instrument. The four remaining PPP items were considered to be marker items on the basis that that they consistently had moderate to high factor loadings on PPP factors in previous studies (i.e., Dunn, Causgrove Dunn, & Syrotuik, 2002; Dunn, Causgrove Dunn, et al., 2006; Gotwals & Dunn, 2009; Gotwals, Dunn, Causgrove Dunn, & Gamache, 2010). All six PCP items were removed because more than half of the sample did not have a coach. A Principal Axes factor analysis was conducted on the Sport-MPS-2 data. To determine the number of factors, a combination of results from Cattell’s (1978) scree test and Lautenschlager’s (1989) parallel analysis were assessed. Results indicated the retention of five factors. The factor matrix was then subjected to a Direct Oblimin transformation (delta = 0). With the exception of one PS item, all remaining items loaded on their anticipated factors and demonstrated good simple structure (Thurstone, 1947). Inter-factor correlations ranged from -.37 (ORG and DAA) to .39 (COM and PS) and all five subscales had adequate levels of internal consistency (all αs > .77). The factor structure of the Sport-MPS-2 remained stable with the inclusion of a shortened PPP subscale.Acknowledgments: Sport Science Association of Alberta and the Canadian Curling Association

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.014
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.022
GPT teacher head0.287
Teacher spread0.265 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2014
Admission routes2
Has abstractyes

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