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In this study, our aims were to replicate and extend previous psychometric assessments of the instruments, by incorporating recovery and stress dimensions into one model. Therefore, we conducted five confirmatory factor analyses (CFA) and determined structural validity, internal consistency, cross-cultural validity, and construct validity. Dutch and Flemish athletes (N=385, 213 females, 170 males, 2 others, 21.03±5.44 years) completed the translated ARSS and SRSS, the Recovery Stress Questionnaire for Athletes (RESTQ-Sport-76), and information on their last training. There was a good model fit for the replicated CFA, sub-optimal model fit for the models that incorporated recovery and stress into one model, and satisfactory internal consistency (α=.75 – .87). The correlations within and between the ARSS and SRSS, as well as between the ARSS/SRSS and the RESTQ-Sport-76 (r=.31 – -.77 for the ARSS, r=.28 – -.63 for the SRSS) and information of their last training also supported construct validity. The combined findings support the use of the ARSS and SRSS to assess stress and recovery in sports-related research and practice.\n<br>\n<i>Keywords</i>: resilience, injury prevention, training load, psychometrics, training monitoring.\n<br>\n<br>\nThis dataset contains data belonging to the manuscript titled: \"Monitoring the recovery-stress states of athletes: Psychometric properties of the Acute Recovery and Stress Scale and Short Recovery Stress Scale among Dutch and Flemish Athletes\". The dataset contains responses from 385 athletes on the Dutch translations Acute Recovery and Stress Scale (ARSS), Short Recovery and Stress Scale (SRSS), Recovery Stress Questionnaire for Athletes (RESTQ-Sport-76), and information related to recent training."},"dsDescriptionDate":{"typeName":"dsDescriptionDate","multiple":false,"typeClass":"primitive","value":"2023-02-16"}}]},{"typeName":"subject","multiple":true,"typeClass":"controlledVocabulary","value":["Medicine, Health and Life Sciences"]},{"typeName":"keyword","multiple":true,"typeClass":"compound","value":[{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"Psychometrics"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"Monitoring"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"Measurement"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"Resilience"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"Load"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"Recovery"}}]},{"typeName":"publication","multiple":true,"typeClass":"compound","value":[{"publicationCitation":{"typeName":"publicationCitation","multiple":false,"typeClass":"primitive","value":"Jur J. Brauers, Ruud J.R. Den Hartigh, Sarah Jakowski, Michael Kellmann, Paul Wylleman, Koen A.P.M. Lemmink & Michel S. Brink (2024) Monitoring the recovery-stress states of athletes: Psychometric properties of the acute recovery and stress scale and short recovery stress scale among Dutch and Flemish athletes, Journal of Sports Sciences, DOI: 10.1080/02640414.2024.2325783"},"publicationIDType":{"typeName":"publicationIDType","multiple":false,"typeClass":"controlledVocabulary","value":"doi"},"publicationIDNumber":{"typeName":"publicationIDNumber","multiple":false,"typeClass":"primitive","value":"10.1080/02640414.2024.2325783"},"publicationURL":{"typeName":"publicationURL","multiple":false,"typeClass":"primitive","value":"http://doi.org/10.1080/02640414.2024.2325783"}}]},{"typeName":"language","multiple":true,"typeClass":"controlledVocabulary","value":["Dutch","English"]},{"typeName":"depositor","multiple":false,"typeClass":"primitive","value":"Silva Correia Alves, Ana"},{"typeName":"dateOfDeposit","multiple":false,"typeClass":"primitive","value":"2023-02-16"},{"typeName":"dateOfCollection","multiple":true,"typeClass":"compound","value":[{"dateOfCollectionStart":{"typeName":"dateOfCollectionStart","multiple":false,"typeClass":"primitive","value":"2021-03-02"},"dateOfCollectionEnd":{"typeName":"dateOfCollectionEnd","multiple":false,"typeClass":"primitive","value":"2022-04-11"}}]},{"typeName":"kindOfData","multiple":true,"typeClass":"primitive","value":["Survey data"]},{"typeName":"software","multiple":true,"typeClass":"compound","value":[{"softwareName":{"typeName":"softwareName","multiple":false,"typeClass":"primitive","value":"Qualtrics"}},{"softwareName":{"typeName":"softwareName","multiple":false,"typeClass":"primitive","value":"R, R Studio"},"softwareVersion":{"typeName":"softwareVersion","multiple":false,"typeClass":"primitive","value":"4.1 and higher"}}]}]},"dansDataVaultMetadata":{"displayName":"Data Vault Metadata","name":"dansDataVaultMetadata","fields":[{"typeName":"dansDataversePid","multiple":false,"typeClass":"primitive","value":"doi:10.34894/A7GZSJ"},{"typeName":"dansDataversePidVersion","multiple":false,"typeClass":"primitive","value":"2.1"},{"typeName":"dansBagId","multiple":false,"typeClass":"primitive","value":"urn:uuid:e685468e-0f5e-4c8f-a1da-ea0d4254cd11"},{"typeName":"dansNbn","multiple":false,"typeClass":"primitive","value":"urn:nbn:nl:ui:13-1957a069-7fac-435a-8486-fbfc48eeb4e0"}]}},"files":[{"label":"Appendix 1 - Proposed structure of the ARSS.pdf","restricted":false,"version":1,"datasetVersionId":26155,"dataFile":{"id":410030,"persistentId":"","filename":"Appendix 1 - Proposed structure of the ARSS.pdf","contentType":"application/pdf","friendlyType":"Adobe PDF","filesize":453804,"storageIdentifier":"surf://store:18dfa36b21a-0ccac29c06aa","rootDataFileId":-1,"checksum":{"type":"SHA-1","value":"0dc6ce05b74338ab9de1b2723f19cc844ea5e1b0"},"tabularData":false,"creationDate":"2024-03-01","publicationDate":"2024-03-08","lastUpdateTime":"2024-03-20T14:55:34Z","fileAccessRequest":true}},{"label":"Appendix 2 - Replication of the analysis by Kolling et al. 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