CÍGLER, Hynek. Researching response-scale format effects in questionnaires: Existing evidence, directions, and methodology. In Seminar in Psychometrics. 2024.
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Basic information
Original name Researching response-scale format effects in questionnaires: Existing evidence, directions, and methodology
Name (in English) Researching response-scale format effects in questionnaires: Existing evidence, directions, and methodology
Authors CÍGLER, Hynek.
Edition Seminar in Psychometrics, 2024.
Other information
Original language Czech
Type of outcome Requested lectures
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
WWW URL
Organization Fakulta sociálních studií – Repository – Repository
Keywords in English height inventory; epistemology; response bias; response processes; measurement
Links GA23-06924S, research and development project.
Changed by Changed by: RNDr. Daniel Jakubík, učo 139797. Changed: 13/4/2024 04:22.
Abstract
Self-report measures of attitudes and personality characteristics often use items with Likert-type response scales where respondents select an answer from a range of ordered options (e.g., agree–disagree). Such response scales can differ in several formal attributes – number of options, verbal anchors, their extremity, or orientation (so-called reversed items). These may affect the reliability and validity of responses and total scores and directly affect measurement quality. With the Czech Science Foundation support (GA23-06924S), our team is researching these effects. We aim to develop a (formal) theory of response-scale format effects and provide a general psychometric model to enhance modeling them. This talk is based on our research and previous empirical evidence. It has four main goals: First, describe the effects and provide information about the known impacts of different response-scale formats on the psychometric properties of questionnaires. Second, provide existing explanations of these effects. Third, present psychometric models based on (exploratory) item-factor analysis for researching these topics. Fourth, introduce our Height Inventory and describe its advantages for researching response processes. Specific attention will be paid to the reversed items where we see the most significant research potential.
Abstract (in English)
Self-report measures of attitudes and personality characteristics often use items with Likert-type response scales where respondents select an answer from a range of ordered options (e.g., agree–disagree). Such response scales can differ in several formal attributes – number of options, verbal anchors, their extremity, or orientation (so-called reversed items). These may affect the reliability and validity of responses and total scores and directly affect measurement quality. With the Czech Science Foundation support (GA23-06924S), our team is researching these effects. We aim to develop a (formal) theory of response-scale format effects and provide a general psychometric model to enhance modeling them. This talk is based on our research and previous empirical evidence. It has four main goals: First, describe the effects and provide information about the known impacts of different response-scale formats on the psychometric properties of questionnaires. Second, provide existing explanations of these effects. Third, present psychometric models based on (exploratory) item-factor analysis for researching these topics. Fourth, introduce our Height Inventory and describe its advantages for researching response processes. Specific attention will be paid to the reversed items where we see the most significant research potential.
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  • a concrete person RNDr. Daniel Jakubík, uco 139797
  • a concrete person Mgr. Eva Zárybnická, DiS., uco 206552
  • a concrete person Mgr. Jolana Surýnková, uco 220973
  • a concrete person Mgr. Michal Maňas, uco 2481
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