Adjectives vs. Statements in Forced Choice and Likert Item Types: Which Is More Resistant to Impression Management in Personality Assessment?

Walton, Kate E.; Radunzel, Justine; Moore, Raeal; Burrus, Jeremy; Anguiano‐Carrasco, Cristina; Murano, Dana

doi:10.1080/00223891.2021.1878523

Cited by 3 publications

(1 citation statement)

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“…However, research suggests that participants can meaningfully distort responses even on measures with low face validity (e.g., Netter & Viglione, 1994). Further, forced-choice personality measures— where item pairs from two personality domains are matched on desirability levels—are promising for the prevention of socially desirable responding (Walton et al, 2021). However, because respondents are forced to choose only one best answer of two characteristics from different personality domains, the interpretation of results may be limited by cross-construct paired item dependence.…”

Section: Extra-test Approaches To Preventing or Detecting Response In...mentioning

confidence: 99%

Assessment of response bias in personality disorder research.

Burchett¹,

Sellbom²,

Bagby³

2023

Personality Disorders: Theory, Research, and Treatment

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Most research on personality disorders (PDs) relies upon self-reported information, commonly collected via standardized self-report inventories or structured interviews. Such data might, for instance, be culled from archival records from applied evaluative contexts or collected as part of dedicated anonymized research studies. Many factors-such as disengagement, distractibility, or motivation to appear in a certain manner-may influence whether self-reported information accurately reflects an examinee's genuine personality characteristics. Despite resultant risks to the validity of collected data, very few measures used in PD research include embedded indicators of response validity. In this article, we review the need for validity measures and strategies that exist to identify invalid self-report data, and we offer several suggestions for PD researchers to consider in order to detect invalid self-reported information and improve the quality of their data.

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Section: Extra-test Approaches To Preventing or Detecting Response In...mentioning

confidence: 99%