{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,21]],"date-time":"2026-08-21T11:42:10Z","timestamp":1787312530544,"version":"build-2736575974"},"reference-count":26,"publisher":"SAGE Publications","issue":"2","license":[{"start":{"date-parts":[[2014,12,24]],"date-time":"2014-12-24T00:00:00Z","timestamp":1419379200000},"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":["Applied Psychological Measurement"],"published-print":{"date-parts":[[2015,3]]},"abstract":"<jats:p>This article analyzes data from U.S. Navy sailors ( N = 8,956), with the central measure being the Navy Computer Adaptive Personality Scales (NCAPS). Analyses and results from this article extend and qualify those from previous research efforts by examining the properties of the NCAPS and its adaptive structure in more detail. Specifically, this article examines item exposure rates, the efficiency of item use based on item response theory (IRT)\u2013based Expected A Posteriori (EAP) scoring, and a comparison of IRT-EAP scoring with much more parsimonious scoring methods that appear to work just as well (stem-level scoring and dichotomous scoring). The cutting-edge nature of adaptive personality testing will necessitate a series of future efforts like this: to examine the benefits of adaptive scoring schemes and novel measurement methods continually, while pushing testing technology further ahead.<\/jats:p>","DOI":"10.1177\/0146621614559517","type":"journal-article","created":{"date-parts":[[2014,12,24]],"date-time":"2014-12-24T23:55:31Z","timestamp":1419465331000},"page":"144-154","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":13,"title":["Comparing Simple Scoring With IRT Scoring of Personality Measures"],"prefix":"10.1177","volume":"39","author":[{"given":"Frederick L.","family":"Oswald","sequence":"first","affiliation":[{"name":"Rice University, Houston, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amy","family":"Shaw","sequence":"additional","affiliation":[{"name":"Rice University, Houston, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"William L.","family":"Farmer","sequence":"additional","affiliation":[{"name":"Navy Personnel Research, Studies and Technology, Millington, TN, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2014,12,24]]},"reference":[{"key":"bibr1-0146621614559517","first-page":"263","volume":"15","author":"Bartram D.","year":"2007","journal-title":"International Journal of Selection and Testing"},{"key":"bibr2-0146621614559517","volume-title":"Development and psychometric properties of OPQ32r: Supplement to the OPQ32 technical manual","author":"Brown A.","year":"2009"},{"key":"bibr3-0146621614559517","first-page":"307","volume-title":"Exploring the limits of personnel selection and classification","author":"Campbell J. 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