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Record W4402800223 · doi:10.2196/59950

Evaluating the Psychometric Properties of a Physical Activity and Sedentary Behavior Identity Scale: Survey Study With Two Independent Samples of Adults in the United States

2024· article· en· W4402800223 on OpenAlexvenueno aff
Cheng Wen, Stefan Schneider, Doerte U. Junghaenel, Meynard John L. Toledo, Pey-Jiuan Lee, Joshua M. Smyth, Arthur A. Stone

Bibliographic record

VenueJMIR Formative Research · 2024
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsnot available
FundersNational Institute on Aging
KeywordsPreprintScale (ratio)PsychologyPhysical activityIdentity (music)Clinical psychologyGerontologyMedicinePhysical therapyGeographyComputer scienceArtCartographyWorld Wide Web

Abstract

fetched live from OpenAlex

BACKGROUND: Emerging evidence suggests a positive association between relevant aspects of one's psychological identity and physical activity engagement, but the current understanding of this relationship is primarily based on scales designed to assess identity as a person who exercises, leaving out essential aspects of physical activities (eg, incidental and occupational physical activity) and sedentary behavior. OBJECTIVE: The goal of this study is to evaluate the validity of a new physical activity and sedentary behavior (PA/SB) identity scale using 2 independent samples of US adults. METHODS: In study 1, participants answered 21 candidate items for the PA/SB identity scale and completed the International Physical Activity Questionnaire-Short Form (IPAQ-SF). Study 2 participants completed the same PA/SB identity items twice over a 1-week interval and completed the IPAQ-SF at the end. We performed factor analyses to evaluate the structure of the PA/SB identity scale, evaluated convergent validity and test-retest reliability (in study 2) of the final scale scores, and examined their discriminant validity using tests for differences in dependent correlations. RESULTS: The final PA/SB identity measure was comprised of 3 scales: physical activity role identity (F1), physical activity belief (F2), and sedentary behavior role identity (F3). The scales had high test-retest reliability (Pearson correlation coefficient: F1, r=0.87; F2, r=0.75; F3, r=0.84; intraclass correlation coefficient [ICC]: F1: ICC=0.85; F2: ICC=0.75; F3: ICC=0.84). F1 and F2 were positively correlated with each other (study 1, r=0.76; study 2, r=0.69), while both were negatively correlated with F3 (Pearson correlation coefficient between F1 and F3: r=-0.58 for study 1 and r=-0.73 for study 2; F2 and F3: r=-0.46 for studies 1 and 2). Data from both studies also demonstrated adequate discriminant validity of the scale developed. Significantly larger correlations with time in vigorous and moderate activities and time walking and sitting assessed by IPAQ-SF with F1, compared with F2, were observed. Significantly larger correlations with time in vigorous and moderate activities with F1, compared with F3, were also observed. Similarly, a larger correlation with time in vigorous activities and a smaller correlation with time walking were observed with F2, compared with F3. CONCLUSIONS: This study provided initial empirical evidence from 2 independent studies on the reliability and validity of the PA/SB identity scales for adults.

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)0.006
metaresearch head score (Gemma)0.008
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 score0.007
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.325
GPT teacher head0.543
Teacher spread0.218 · 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
Published2024
Admission routes1
Has abstractyes

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