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        <identifier>oai:figshare.com:article/33969334</identifier>
        <datestamp>2026-09-23T00:34:15Z</datestamp>
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          <dc:title>Analysis code for longitudinal CFA of decathlon performance across academic years in Japanese collegiate decathletes</dc:title>
          <dc:creator>Yuki ASHINO (16728606)</dc:creator>
          <dc:subject>Sports science and exercise not elsewhere classified</dc:subject>
          <dc:subject>Decathlon</dc:subject>
          <dc:subject>Collegiate Athletes</dc:subject>
          <dc:subject>Confirmatory factor analysis</dc:subject>
          <dc:subject>Longitudinal CFA</dc:subject>
          <dc:subject>Configural invariance</dc:subject>
          <dc:subject>Measurement invariance</dc:subject>
          <dc:subject>Performance structure</dc:subject>
          <dc:subject>Sports performance</dc:subject>
          <dc:subject>Reproducibility</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;&lt;b&gt;This repository contains the R analysis code and supporting documentation used to reproduce the statistical analyses reported in the study “A three-factor representation of decathlon performance yielded an inadmissible longitudinal CFA solution across academic years in Japanese collegiate decathletes.”&lt;/b&gt;&lt;/p&gt;&lt;p dir="ltr"&gt;The repository includes scripts for descriptive statistics and first-year record-availability analyses, the primary longitudinal confirmatory factor analysis (CFA), diagnostic CFA models, supplementary diagnostic tables, and sensitivity analyses. It also includes a README file describing the analysis workflow and data-processing rules, and a codebook describing the variables required by the scripts.&lt;/p&gt;&lt;p dir="ltr"&gt;The scripts are designed to be run with the de-identified analysis dataset associated with this study. Athlete names are not required by any of the analysis scripts; repeated observations are linked using study-specific athlete IDs.&lt;/p&gt;&lt;p dir="ltr"&gt;The analysis workflow consists of the following scripts:&lt;/p&gt;&lt;p dir="ltr"&gt;&lt;code&gt;00_run_all.R&lt;/code&gt;: master script for running all analyses in sequence.&lt;br&gt;&lt;code&gt;01_descriptive_missingness_logistic.R&lt;/code&gt;: descriptive statistics, missingness analyses, Fisher’s exact tests, and logistic regression.&lt;br&gt;&lt;code&gt;02_primary_longitudinal_CFA.R&lt;/code&gt;: primary longitudinal configural CFA.&lt;br&gt;&lt;code&gt;03_diagnostic_CFA.R&lt;/code&gt;: cross-sectional, two-wave, and one-factor diagnostic CFA models.&lt;br&gt;&lt;code&gt;04_supplementary_diagnostic_tables.R&lt;/code&gt;: generation of Supplementary Tables S1–S6.&lt;br&gt;&lt;code&gt;05_sensitivity_analyses.R&lt;/code&gt;: complete-case, standardized-record, merged-factor, and official event-score sensitivity analyses.&lt;/p&gt;&lt;p dir="ltr"&gt;See &lt;code&gt;README.md&lt;/code&gt; for software requirements, data-cleaning rules, expected results, and instructions for reproducing the analyses.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-23T00:34:15Z</dc:date>
          <dc:type>Dataset</dc:type>
          <dc:type>Dataset</dc:type>
          <dc:identifier>10.6084/m9.figshare.33969334.v2</dc:identifier>
          <dc:relation>https://figshare.com/articles/dataset/Data_and_analysis_code_for_longitudinal_CFA_of_decathlon_performance_across_academic_years_in_Japanese_collegiate_decathletes/33969334</dc:relation>
          <dc:rights>CC BY 4.0</dc:rights>
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