{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,31]],"date-time":"2026-10-31T07:52:42Z","timestamp":1793433162619,"version":"4.5.0"},"reference-count":70,"publisher":"SAGE Publications","issue":"5","license":[{"start":{"date-parts":[[2021,6,29]],"date-time":"2021-06-29T00:00:00Z","timestamp":1624924800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Psychol Rep"],"published-print":{"date-parts":[[2022,10]]},"abstract":"<jats:p>The Proactive Personality Scale (PPS) is used widely to measure proactive personality. Previous research has evaluated the psychometric properties of the 6-item PPS (hereafter called PPS-6) using classical test theory. There is a need to provide further validity evidence for the PPS-6 using modern test theory. This study evaluated the psychometric properties of the PPS-6 using Rasch analysis. A total of 429 participants completed the PPS-6. Rasch rating scale model (RSM) was used to analyse the data. RSM showed that the PPS-6 fitted the Rasch model well. RSM demonstrated that the PPS-6 functioned as a unidimensional measure with good internal consistency reliability. Items on the PPS-6 did not show any noticeable differential item functioning across gender. RSM showed that the response rating scale of the PPS-6 is suitable. Results suggest that the PPS-6 is a reliable measure for the assessment of proactive personality.<\/jats:p>","DOI":"10.1177\/00332941211028110","type":"journal-article","created":{"date-parts":[[2021,6,30]],"date-time":"2021-06-30T00:13:52Z","timestamp":1625012032000},"page":"2788-2806","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":10,"title":["Rasch Analysis of the Proactive Personality Scale"],"prefix":"10.1177","volume":"125","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1932-5190","authenticated-orcid":false,"given":"Enoch","family":"Teye-Kwadjo","sequence":"first","affiliation":[{"name":"Department of Industrial Psychology, Stellenbosch University, Matieland, South Africa; Department of Psychology, University of Ghana, Accra, Ghana"},{"name":"Department of Industrial Psychology, Stellenbosch University, Matieland, South Africa"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0330-5956","authenticated-orcid":false,"given":"Gideon P.","family":"de Bruin","sequence":"additional","affiliation":[{"name":"Department of Industrial Psychology, Stellenbosch University, Matieland, South Africa"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2021,6,29]]},"reference":[{"key":"bibr500-00332941211028110","doi-asserted-by":"publisher","DOI":"10.1177\/0013164411432166"},{"key":"bibr1-00332941211028110","doi-asserted-by":"publisher","DOI":"10.1177\/001316447803800308"},{"key":"bibr2-00332941211028110","first-page":"167","volume-title":"Introduction to Rasch measurement: Theory, models, and applications","author":"Andrich D.","year":"2004"},{"key":"bibr3-00332941211028110","doi-asserted-by":"publisher","DOI":"10.1177\/0013164412450877"},{"key":"bibr4-00332941211028110","doi-asserted-by":"crossref","unstructured":"Andrich D., Marais I. 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