Detailed Information on Publication Record
2024
Researching response-scale format effects in questionnaires: Existing evidence, directions, and methodology
CÍGLER, HynekBasic 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
Language
Czech
Type of outcome
Vyžádané přednášky
Country of publisher
Czech Republic
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Organization
Fakulta sociálních studií – Repository – Repository
Keywords in English
height inventory; epistemology; response bias; response processes; measurement
Links
GA23-06924S, research and development project.
Změněno: 13/4/2024 04:22, RNDr. Daniel Jakubík
V originále
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.
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.