Literature DB >> 24773355

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

Daniel M Bolt1, Yi Lu2, Jee-Seon Kim1.   

Abstract

Response styles are frequently of concern when rating scales are used in psychological survey instruments. While latent trait models provide an attractive way of controlling for response style effects (Morren, Gelissen, & Vermunt, 2011), the analyses are generally limited to accommodating only a small number of response style types. The use of anchoring vignettes provides an opportunity to overcome this limitation. In this article, a new latent trait model is introduced that uses vignette responses to measure and control for any form of response style. An illustration is provided with data from a cross-national study of self-reported conscientiousness by Mõttus, Allik, Realo, Pullman, et al. (2012). PsycINFO Database Record (c) 2014 APA, all rights reserved

Mesh:

Year:  2014        PMID: 24773355     DOI: 10.1037/met0000016

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


  13 in total

1.  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

2.  Does Acquiescence Affect Individual Items Consistently?

Authors:  Chester Chun Seng Kam; Mingming Zhou
Journal:  Educ Psychol Meas       Date:  2014-11-27       Impact factor: 2.821

3.  Extracting Response Style Bias From Measures of Positive and Negative Affect in Aging Research.

Authors:  Stefan Schneider
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2017-12-15       Impact factor: 4.077

4.  Extreme Response Style and the Measurement of Intra-Individual Variability in Affect.

Authors:  Sien Deng; Danielle E McCarthy; Megan E Piper; Timothy B Baker; Daniel M Bolt
Journal:  Multivariate Behav Res       Date:  2018-01-11       Impact factor: 5.923

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

Authors:  Daniel J Adams; Daniel M Bolt; Sien Deng; Stevens S Smith; Timothy B Baker
Journal:  Br J Math Stat Psychol       Date:  2019-03-28       Impact factor: 3.380

6.  The importance of development standards for anchoring vignettes: an illustrative example from pediatric localized scleroderma quality of life.

Authors:  Christina K Zigler; Heidi Jacobe; Kaveh Ardalan; Theresa M Coles; Suzane Lane; Kaila L Schollaert; Kathryn S Torok
Journal:  Qual Life Res       Date:  2020-07-11       Impact factor: 4.147

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.  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

9.  Measurement and control of bias in patient reported outcomes using multidimensional item response theory.

Authors:  N Maritza Dowling; Daniel M Bolt; Sien Deng; Chenxi Li
Journal:  BMC Med Res Methodol       Date:  2016-05-26       Impact factor: 4.615

10.  Does reporting behaviour bias the measurement of social inequalities in self-rated health in Indonesia? An anchoring vignette analysis.

Authors:  Wulung Hanandita; Gindo Tampubolon
Journal:  Qual Life Res       Date:  2015-10-12       Impact factor: 4.147

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