2008
DOI: 10.1177/0034355208317317
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Rasch Analysis as a Technique to Examine the Psychometric Properties of a Career Ability Placement Survey Subtest

Abstract: Rasch analysis offers researchers an innovative method for developing and validating rehabilitation instruments. Despite the increased use of Rasch analysis by allied health researchers, this method continues to be underutilized by rehabilitation counseling professionals. In the rehabilitation counseling profession, vocational evaluators use various instruments, such as the Career Ability Placement Survey (CAPS), to determine client aptitudes and justify job placement recommendations. The purpose of this artic… Show more

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Cited by 17 publications
(10 citation statements)
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“…Similarly, if there are not enough items toward the bottom, the instrument cannot distinguish among persons with low trait levels. The former is called a ceiling effect, and the latter, a floor effect (Pomeranz, Byers, Moorhouse, Velozo, & Spitznagel, 2008). …”
Section: Discussionmentioning
confidence: 99%
“…Similarly, if there are not enough items toward the bottom, the instrument cannot distinguish among persons with low trait levels. The former is called a ceiling effect, and the latter, a floor effect (Pomeranz, Byers, Moorhouse, Velozo, & Spitznagel, 2008). …”
Section: Discussionmentioning
confidence: 99%
“…For example, in the current study, the MS cutoff values of .6 to 1.4 were used to identify misfitting items, because Bond and Fox note that these thresholds are appropriate for use with Likert-scaled items. Further, Linacre (2002a) considers items misfitting when they exceed a standardized (ZSTD) value of +/-2.00; and Pomeranz et al (2008) note, "For a researcher to consider an item "misfitting," the item must exceed both [italics added] the MS and ZSTD criteria" (p. 253).…”
Section: Evaluating Measurement Assumptions Through Use Of the Rasch mentioning
confidence: 99%
“…Furthermore, the relationship that exists between person ability and item difficulty is able to capture the relationship of the item and person (Coe, 2008;Wilmot, Schoenfeld, Wilson, Champney, & Zahner, 2011). The Rasch model is able to provide a rigorous and detailed methodology to identify the psychometric properties of an instrument at the item level (Pomeranz, Byers, Moorhouse, Velozo, & Spitznagel, 2008;Tran et al, 2010). It has proven to elevate test design to a level of sophistication not otherwise possible when using only raw scores to determine an individual's ability (McAllister, Lincoln, Ferguson, & McAllister, 2010;Potgieter, Davidowitz, & Venter, 2008).…”
Section: Introductionmentioning
confidence: 99%
“…It has proven to elevate test design to a level of sophistication not otherwise possible when using only raw scores to determine an individual's ability (McAllister, Lincoln, Ferguson, & McAllister, 2010;Potgieter, Davidowitz, & Venter, 2008). The Rasch model is able to provide details of the validity and reliability of instruments by focusing specifically on rating scales, items, persons, and other facets like the rater (Coe, 2008;Pomeranz et al, 2008).…”
Section: Introductionmentioning
confidence: 99%