Literature DB >> 30919943

Using multidimensional item response theory to evaluate how response styles impact measurement.

Daniel J Adams1, Daniel M Bolt1, Sien Deng2, Stevens S Smith3, Timothy B Baker3.   

Abstract

Multidimensional item response theory (MIRT) models for response style (e.g., Bolt, Lu, & Kim, 2014, Psychological Methods, 19, 528; Falk & Cai, 2016, Psychological Methods, 21, 328) provide flexibility in accommodating various response styles, but often present difficulty in isolating the effects of response style(s) from the intended substantive trait(s). In the presence of such measurement limitations, we consider several ways in which MIRT models are nevertheless useful in lending insight into how response styles may interfere with measurement for a given test instrument. Such a study can also inform whether alternative design considerations (e.g., anchoring vignettes, self-report items of heterogeneous content) that seek to control for response style effects may be helpful. We illustrate several aspects of an MIRT approach using real and simulated analyses.
© 2019 The British Psychological Society.

Entities:  

Keywords:  multidimensional item response theory; response styles

Year:  2019        PMID: 30919943      PMCID: PMC6765459          DOI: 10.1111/bmsp.12169

Source DB:  PubMed          Journal:  Br J Math Stat Psychol        ISSN: 0007-1102            Impact factor:   3.380


  10 in total

1.  A multiple motives approach to tobacco dependence: the Wisconsin Inventory of Smoking Dependence Motives (WISDM-68).

Authors:  Megan E Piper; Thomas M Piasecki; E Belle Federman; Daniel M Bolt; Stevens S Smith; Michael C Fiore; Timothy B Baker
Journal:  J Consult Clin Psychol       Date:  2004-04

2.  Modeling multiple response processes in judgment and choice.

Authors:  Ulf Böckenholt
Journal:  Psychol Methods       Date:  2012-04-30

3.  Measuring Response Styles Across the Big Five: A Multiscale Extension of an Approach Using Multinomial Processing Trees.

Authors:  Lale Khorramdel; Matthias von Davier
Journal:  Multivariate Behav Res       Date:  2014 Mar-Apr       Impact factor: 5.923

4.  A flexible full-information approach to the modeling of response styles.

Authors:  Carl F Falk; Li Cai
Journal:  Psychol Methods       Date:  2015-12-07

5.  A generalized item response tree model for psychological assessments.

Authors:  Minjeong Jeon; Paul De Boeck
Journal:  Behav Res Methods       Date:  2016-09

Review 6.  Response style analysis with threshold and multi-process IRT models: A review and tutorial.

Authors:  Ulf Böckenholt; Thorsten Meiser
Journal:  Br J Math Stat Psychol       Date:  2017-02       Impact factor: 3.380

7.  The Effects of Vignette Scoring on Reliability and Validity of Self-Reports.

Authors:  Matthias von Davier; Hyo-Jeong Shin; Lale Khorramdel; Lazar Stankov
Journal:  Appl Psychol Meas       Date:  2017-09-27

8.  Mountain or Molehill? A Simulation Study on the Impact of Response Styles.

Authors:  Hansjörg Plieninger
Journal:  Educ Psychol Meas       Date:  2016-03-18       Impact factor: 2.821

9.  Measurement and control of response styles using anchoring vignettes: a model-based approach.

Authors:  Daniel M Bolt; Yi Lu; Jee-Seon Kim
Journal:  Psychol Methods       Date:  2014-04-28

10.  The Wisconsin Predicting Patients' Relapse questionnaire.

Authors:  Daniel M Bolt; Megan E Piper; Danielle E McCarthy; Sandra J Japuntich; Michael C Fiore; Stevens S Smith; Timothy B Baker
Journal:  Nicotine Tob Res       Date:  2009-04-16       Impact factor: 4.244

  10 in total
  4 in total

1.  A Mixture IRTree Model for Extreme Response Style: Accounting for Response Process Uncertainty.

Authors:  Nana Kim; Daniel M Bolt
Journal:  Educ Psychol Meas       Date:  2020-04-27       Impact factor: 2.821

2.  Explaining Variability in Response Style Traits: A Covariate-Adjusted IRTree.

Authors:  Allison J Ames; Aaron J Myers
Journal:  Educ Psychol Meas       Date:  2020-11-04       Impact factor: 3.088

3.  A Response-Time-Based Latent Response Mixture Model for Identifying and Modeling Careless and Insufficient Effort Responding in Survey Data.

Authors:  Esther Ulitzsch; Steffi Pohl; Lale Khorramdel; Ulf Kroehne; Matthias von Davier
Journal:  Psychometrika       Date:  2021-12-02       Impact factor: 2.290

4.  Validity of Three IRT Models for Measuring and Controlling Extreme and Midpoint Response Styles.

Authors:  Yingbin Zhang; Yehui Wang
Journal:  Front Psychol       Date:  2020-02-21
  4 in total

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