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Record W2968214701 · doi:10.1080/1612197x.2019.1655779

Qualitative research in six sport and exercise psychology journals between 2010 and 2017: An updated and expanded review of trends and interpretations

2019· article· en· W2968214701 on OpenAlex
Kerry R. McGannon, Brett Smith, Kelsey Kendellen, Christine A. Gonsalves

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

VenueInternational Journal of Sport and Exercise Psychology · 2019
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsUniversity of OttawaLaurentian University
Fundersnot available
KeywordsRigourSport psychologyQualitative researchPsychologySports sciencePsychological researchApplied psychologySocial psychologySocial scienceSociologyEpistemologyMedicine

Abstract

fetched live from OpenAlex

Descriptive reviews of qualitative research across two decades – 1990–1999 (Culver, D., Gilbert, W., & Trudel, P. (2003). A decade of qualitative research published in sport psychology journals: 1990–1999. The Sport Psychologist, 17, 1–15) and 2000–2009 (Culver, D., Gilbert, W., & Sparkes, A. C. (2012). Qualitative research in sport psychology journals: The next decade 2000–2009 and beyond. The Sport Psychologist, 26, 261–281) – outlined qualitative research trends in three North American sport psychology journals (The Sport Psychologist, Journal of Applied Sport Psychology and Journal of Sport and Exercise Psychology). The present study updates a descriptive review of qualitative research in these three previously reviewed journals plus three additional sport and exercise psychology journals (Psychology of Sport and Exercise, International Journal of Sport and Exercise Psychology, and Sport, Exercise and Performance Psychology), to explore key trends between 2010 and 2017. Of the 1,914 studies, 351 (18%) were qualitative. Findings comprised four sections: distribution of articles, qualitative methods, rigour/trustworthiness and epistemology. Trends included an increased percentage of qualitative articles in 2015–2017 compared to 2010–2012, reliance on methods of individual interviews (85%), inter-rater reliability (45%) and member checking (41%) as primary rigour indicators, and 61% of studies not declaring an epistemology. Key trends are discussed in relation to contemporary qualitative research dialogues within, and outside of, sport psychology. We conclude that consideration of additional qualitative research methods, contemporary forms of rigour, and epistemological awareness and coherence, are useful goals. Recommendations align with calls for “connoisseurship”, whereby a diversity of qualitative approaches is appreciated, with the ability to make informed fine-grained discrimination among qualities concerning qualitative inquiry. These suggestions hold potential for expanding ways of knowing, conducting and judging qualitative sport psychology research within these six journals.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.089
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.122
GPT teacher head0.535
Teacher spread0.413 · 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