Ethnic differences on the MMPI-2?

Timbrook, Rodney E.; Graham, John R.

doi:10.1037/1040-3590.6.3.212

Cited by 55 publications

(76 citation statements)

References 17 publications

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“…This decision was made because impact was shown to have no effect on IRT LR DIF detection in a recent study by Stark et al (2006) and because it is more realistic to expect at least a moderate amount of impact in studies involving noncognitive scales of similar lengths. For example, Timbrook and Graham (1994) showed that gender and ethnic group mean differences for clinical personality scales were within the 0.2 to 0.5 SD range, and Ones and Anderson (2002) found similar results for normal personality scales.…”

Section: Methods Study Designsupporting

confidence: 64%

The Effects of Referent Item Parameters on Differential Item Functioning Detection Using the Free Baseline Likelihood Ratio Test

Rivas

Stark

Chernyshenko

2008

Applied Psychological Measurement

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The purpose of this simulation study is to investigate the effects of anchor subtest composition on the accuracy of item response theory (IRT) likelihood ratio (LR) differential item functioning (DIF) detection (Thissen, Steinberg, & Wainer, 1988). Here, the IRT LR test was implemented with a free baseline approach wherein a baseline model was formed by freeing all items except a referent or anchor subset and examining the changes in fit with respect to a series of models wherein 1 item at a time was constrained in addition to the referent(s). The results clearly indicated that the composition of the anchor subtest is important for accurate DIF detection. It was found that using a single highly discriminating rather than a low discriminating referent greatly enhanced the power of the procedure. Moreover, in conditions involving small DIF or smaller sample sizes or both, power appeared to improve when a group of highly discriminating referents was used. These findings have implications for applied research involving short scales and small sample sizes.

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Section: Methods Study Designsupporting

confidence: 64%

The Effects of Referent Item Parameters on Differential Item Functioning Detection Using the Free Baseline Likelihood Ratio Test

Rivas

Stark

Chernyshenko

2008

Applied Psychological Measurement

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“…Most of these studies examined relationship bias. They found that the predictive validity of MMPI-2 scales was not different across racial groups (Arbisi, Ben-Porath, & McNulty, 2002;McNulty, Graham, Ben-Porath, & Stein, 1997;Timbrook & Graham, 1994). Waller, Thompson, and Wenk (2000) examined measurement bias on MMPI items and scales.…”

mentioning

confidence: 98%

Differential Item Functioning by Sex and Race in the Hogan Personality Inventory

et al. 2006

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The authors examined measurement bias in the Hogan Personality Inventory by investigating differential item functioning (DIF) across sex and two racial groups (Caucasian and Black). The sample consisted of 1,579 Caucasians (1,023 men, 556 women) and 523 Blacks (321 men, 202 women) who were applying for entry-level, unskilled jobs in factories. Although the group mean differences were trivial, more than a third of the items showed DIF by sex (38.4%) and by race (37.3%). A content analysis of potentially biased items indicated that the themes of items displaying DIF were slightly more cohesive for sex than for race. The authors discuss possible explanations for differing clustering tendencies of items displaying DIF and some practical and theoretical implications of DIF in the development and interpretation of personality inventories.

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“…Importantly, even when differences exist across demographic variables, they do not indicate test bias on their own but instead may reflect genuine individual differences that test scores are validly documenting (e.g., a ruler is not biased just because it shows that men, on average, are taller than women; Nunnally & Bernstein, 1994;Reynolds, 2000aReynolds, , 2000bTimbrook & Graham, 1994). Nonetheless, to ensure unbiased assessment clinicians need to be attentive to their clients' background and mindful of any potential relationships between demographic variables and test scores.…”

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confidence: 99%

The Association of Gender, Ethnicity, Age, and Education With Rorschach Scores

et al. 2014

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We examined the association of gender, ethnicity, age, and education with 60 Rorschach scores using three clinical and nonclinical samples of adults and youths (ns = 640, 249, and 241). As anticipated for our datasets, there were no reliable associations for gender, ethnicity, or adult age.However, in adults years of education was associated with variables indicative of complexity, determinant articulation, cognitive synthesis, and coping resources. In the clinical sample of youths, increasing age was primarily associated with more conventional perception and less illogical thought processes. Limitations are discussed in conjunction with further research that could address them, along with implications for applied practice.

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Ethnic differences on the MMPI-2?

Cited by 55 publications

References 17 publications

The Effects of Referent Item Parameters on Differential Item Functioning Detection Using the Free Baseline Likelihood Ratio Test

The Effects of Referent Item Parameters on Differential Item Functioning Detection Using the Free Baseline Likelihood Ratio Test

Differential Item Functioning by Sex and Race in the Hogan Personality Inventory

The Association of Gender, Ethnicity, Age, and Education With Rorschach Scores

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