Literature DB >> 27893218

Measuring response styles in Likert items.

Ulf Böckenholt1.   

Abstract

The recently proposed class of item response tree models provides a flexible framework for modeling multiple response processes. This feature is particularly attractive for understanding how response styles may affect answers to attitudinal questions. Facilitating the disassociation of response styles and attitudinal traits, item response tree models can provide powerful process tests of how different response formats may affect the measurement of substantive traits. In an empirical study, 3 response formats were used to measure the 2-dimensional Personal Need for Structure traits. Different item response tree models are proposed to capture the response styles for each of the response formats. These models show that the response formats give rise to similar trait measures but different response-style effects. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Mesh:

Year:  2016        PMID: 27893218     DOI: 10.1037/met0000106

Source DB:  PubMed          Journal:  Psychol Methods        ISSN: 1082-989X


  13 in total

1.  A General Unfolding IRT Model for Multiple Response Styles.

Authors:  Chen-Wei Liu; Wen-Chung Wang
Journal:  Appl Psychol Meas       Date:  2018-04-16

2.  Extreme Response Style: A Simulation Study Comparison of Three Multidimensional Item Response Models.

Authors:  Brian C Leventhal
Journal:  Appl Psychol Meas       Date:  2018-08-01

3.  Item Response Tree Models to Investigate Acquiescence and Extreme Response Styles in Likert-Type Rating Scales.

Authors:  Minjeong Park; Amery D Wu
Journal:  Educ Psychol Meas       Date:  2019-02-15       Impact factor: 2.821

4.  Contextual Responses to Affirmative and/or Reversed-Worded Items.

Authors:  Ulf Böckenholt
Journal:  Psychometrika       Date:  2019-09-04       Impact factor: 2.500

5.  Modeling Intensive Polytomous Time-Series Eye-Tracking Data: A Dynamic Tree-Based Item Response Model.

Authors:  Sun-Joo Cho; Sarah Brown-Schmidt; Paul De Boeck; Jianhong Shen
Journal:  Psychometrika       Date:  2020-02-21       Impact factor: 2.500

6.  Measuring Response Style Stability Across Constructs With Item Response Trees.

Authors:  Allison J Ames
Journal:  Educ Psychol Meas       Date:  2021-06-02       Impact factor: 2.821

7.  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

8.  Characterizing belief bias in syllogistic reasoning: A hierarchical Bayesian meta-analysis of ROC data.

Authors:  Dries Trippas; David Kellen; Henrik Singmann; Gordon Pennycook; Derek J Koehler; Jonathan A Fugelsang; Chad Dubé
Journal:  Psychon Bull Rev       Date:  2018-12

9.  Racial/ethnic differences in reporting versus rating of healthcare experiences.

Authors:  Sukyung Chung; Gabriella Mujal; Lily Liang; Latha P Palaniappan; Dominick L Frosch
Journal:  Medicine (Baltimore)       Date:  2018-12       Impact factor: 1.817

10.  The association between Asian patient race/ethnicity and lower satisfaction scores.

Authors:  Lillian Liao; Sukyung Chung; Jonathan Altamirano; Luis Garcia; Magali Fassiotto; Bonnie Maldonado; Paul Heidenreich; Latha Palaniappan
Journal:  BMC Health Serv Res       Date:  2020-07-22       Impact factor: 2.655

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