Evaluation of the Fake Resistance of a Forced-choice Paired-comparison Computer Adaptive Personality Measure

Underhill, Christina; Bearden, Ronald M.; Chen, Hubert T.

doi:10.1037/e614892009-001

Cited by 2 publications

(3 citation statements)

References 15 publications

(30 reference statements)

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“…CAT-based personality measurement offers many potential benefits, including increased efficiency, potential for improved validity, and increased test security. It also holds promise for addressing some of the longstanding challenges associated with personality measurement, most notably the opportunity for faking (Underhill, Lords, & Bearden, 2006), a topic that has received much attention and debate in recent years (Morgeson et al, 2007). Our experience has indeed shown this to be the case.…”

Section: Practical Advantages Of Cat-based Personality Measurementmentioning

confidence: 67%

“…With the paired-statement format, there is no cue from the response scale itself. Preliminary research (Underhill et al, 2006) indicates that these types of items are more difficult to distort. Specifically, Underhill et al (2006) found that, when prompted, test takers were not able to significantly elevate their scores to as large an extent on the adaptive NCAPS when compared to traditional NCAPS.…”

Section: Reduction In Vulnerability To Faking and Impression Managementmentioning

confidence: 99%

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The Ideal Point Model in Action: How the Use of Computer Adaptive Personality Scales Benefits Organizations

Kantrowitz¹,

Tuzinski²

2010

Ind. organ. psychol.

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In their final thoughts, Drasgow, Chernyshenko, and Stark (2010) state that although the ideal point model holds much promise for improved assessment instruments, there are relatively few applications of the approach. We and more than 50 scientists from Personnel Decisions Research Institutes, PreVisor, and Navy Personnel Research, Studies, and Technology have applied the ideal point assumptions of the item response process to the development of a computer adaptive testing (CAT) approach to the measurement of personality traits. On the basis of the algorithm underlying the computer adaptive rating scales method (CARS;Borman et al., 2001), this approach leverages advances in measurement and technology to efficiently assess employees' traits and characteristics. These efforts have led to the development of new personality instruments for use in the military and private sectors. In this commentary, we discuss the practical benefits of CATbased personality measurement and identify areas for further research inquiry.

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Section: Practical Advantages Of Cat-based Personality Measurementmentioning

confidence: 67%

Section: Reduction In Vulnerability To Faking and Impression Managementmentioning

confidence: 99%

The Ideal Point Model in Action: How the Use of Computer Adaptive Personality Scales Benefits Organizations

Kantrowitz¹,

Tuzinski²

2010

Ind. organ. psychol.

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“…Subsequent research examined the viability of that methodology for personality assessment in the U.S. Navy (Houston, Borman, Farmer, & Bearden, 2006;Underhill, Lords, & Bearden, 2006) as well as in organizational settings with emphasis on test administration time (Kantrowitz & Tuzinski, 2010) and test security (Kantrowitz, Dawson, & Fetzer, 2011).…”

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confidence: 99%

Adaptive testing with the GGUM-RANK multidimensional forced choice model: Comparison of pair, triplet, and tetrad scoring

2019

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Likert-type measures have been criticized in psychological assessment because they are vulnerable to response biases, including central tendency, acquiescence, leniency, halo, and socially desirable responding. As an alternative, multidimensional forced choice (MFC) testing has been proposed to address these concerns. A number of researchers have developed item response theory (IRT) models for MFC data and have examined latent trait estimation with tests of different dimensionality and length. Research has also explored the advantages of computerized adaptive testing (CAT) with MFC pair tests having as many as 25 dimensions, but there have been no published studies on CAT with MFC triplets or tetrads. Thus, in this research we aimed to address that issue. We used recently developed item information functions for an MFC ranking model to compare the benefits of CAT with MFC pair, triplet, and tetrad tests. A simulation study showed that CAT substantially outperformed nonadaptive testing for latent trait estimation across MFC formats. More importantly, CAT with MFC pairs provided estimation accuracy similar to or better than that from tests of equivalent numbers of nonadaptive MFC triplets. On the basis of these findings, implications and recommendations are further discussed for constructing MFC measures to use in psychological contexts.

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Evaluation of the Fake Resistance of a Forced-choice Paired-comparison Computer Adaptive Personality Measure

Cited by 2 publications

References 15 publications

The Ideal Point Model in Action: How the Use of Computer Adaptive Personality Scales Benefits Organizations

The Ideal Point Model in Action: How the Use of Computer Adaptive Personality Scales Benefits Organizations

Adaptive testing with the GGUM-RANK multidimensional forced choice model: Comparison of pair, triplet, and tetrad scoring

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