Bert Weijters
Biographic Data
| ID | 232219 |
|---|---|
| NAME | Bert Weijters |
| GIVEN NAMES | Bert |
| FAMILY NAME | Weijters |
| SIGNATURE | WEIJTERS B |
| AFFILIATIONS | Ghent University |
| ORCID | 0000-0002-8590-0088 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 6 |
| AUTHOR COUNT | 8 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2010 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 1 |
Analyzing factorial survey data with structural equation models
In factorial survey designs, respondents evaluate multiple short descriptions of social objects (vignettes) that experimentally vary different levels of attributes of interest. Analytical methods (including individual-level regression analysis and multilevel models) estimate the weights (or utilities) assigned to the levels of the different attributes by participants to arrive at an overall response to the vignettes. In the current paper, we expl…
The biasing effect of common method variance
Reversed item bias
In the recent methodological literature, various models have been proposed to account for the phenomenon that reversed items (defined as items for which respondents' scores have to be recoded in order to make the direction of keying consistent across all items) tend to lead to problematic responses. In this article we propose an integrative conceptualization of three important sources of reversed item method bias (acquiescence, careless respondin…
The Effect of Familiarity with the Response Category Labels on Item Response to Likert Scales
Surveys in the social sciences often employ rating scales anchored by response category labels such as “strongly (dis)agree” or “completely (dis)agree.” Although these labels may exert a systematic influence on responses since they are common to all items, academic research on the effect of different labels is surprisingly scarce. In order to help researchers choose appropriate category labels, we contrast the intensity hypothesis (which posits t…
Misresponse to Reversed and Negated Items in Surveys
There are important advantages to including reversed items in questionnaires (e.g., control of acquiescence, disruption of nonsubstantive responding, better coverage of the domain of content of a construct), but reversed items can also lead to measurement problems (e.g., low measure reliability, complex factor structures). The authors advocate the continued use of reversed items in measurement instruments but also argue that they should be used w…
Nonprofit Governance Quality
A nonprofit "governance quality index" was developed to enable verification and falsification of contemporary theoretical insights on social service organizations. Indicators were generated based on an extensive qualitative exploration. For the quantitative validation, a data set was composed of 526 respondents from 52 organizations. Five subdimensions of governance quality are introduced and are recommended to be used as separate scales, rather …
The effect of rating scale format on response styles
The stability of individual response styles.
Modeling capabilities for longitudinal data have progressed considerably, but questions remain on the extent to which method bias may negatively affect the validity of longitudinal survey data. The current study addresses the stability of individual response styles. We set up a longitudinal data collection in which the same respondents filled out 2 online questionnaires with nonoverlapping sets of heterogeneous items. Between data collections, th…
The Effect of Familiarity with the Response Category Labels on Item Response to Likert Scales
Surveys in the social sciences often employ rating scales anchored by response category labels such as “strongly (dis)agree” or “completely (dis)agree.” Although these labels may exert a systematic influence on responses since they are common to all items, academic research on the effect of different labels is surprisingly scarce. In order to help researchers choose appropriate category labels, we contrast the intensity hypothesis (which posits t…
Analyzing factorial survey data with structural equation models
In factorial survey designs, respondents evaluate multiple short descriptions of social objects (vignettes) that experimentally vary different levels of attributes of interest. Analytical methods (including individual-level regression analysis and multilevel models) estimate the weights (or utilities) assigned to the levels of the different attributes by participants to arrive at an overall response to the vignettes. In the current paper, we expl…
The effect of rating scale format on response styles
The stability of individual response styles.
Modeling capabilities for longitudinal data have progressed considerably, but questions remain on the extent to which method bias may negatively affect the validity of longitudinal survey data. The current study addresses the stability of individual response styles. We set up a longitudinal data collection in which the same respondents filled out 2 online questionnaires with nonoverlapping sets of heterogeneous items. Between data collections, th…
Misresponse to Reversed and Negated Items in Surveys
There are important advantages to including reversed items in questionnaires (e.g., control of acquiescence, disruption of nonsubstantive responding, better coverage of the domain of content of a construct), but reversed items can also lead to measurement problems (e.g., low measure reliability, complex factor structures). The authors advocate the continued use of reversed items in measurement instruments but also argue that they should be used w…
Nonprofit Governance Quality
A nonprofit "governance quality index" was developed to enable verification and falsification of contemporary theoretical insights on social service organizations. Indicators were generated based on an extensive qualitative exploration. For the quantitative validation, a data set was composed of 526 respondents from 52 organizations. Five subdimensions of governance quality are introduced and are recommended to be used as separate scales, rather …
Reversed item bias
In the recent methodological literature, various models have been proposed to account for the phenomenon that reversed items (defined as items for which respondents' scores have to be recoded in order to make the direction of keying consistent across all items) tend to lead to problematic responses. In this article we propose an integrative conceptualization of three important sources of reversed item method bias (acquiescence, careless respondin…
The Effect of Familiarity with the Response Category Labels on Item Response to Likert Scales
Surveys in the social sciences often employ rating scales anchored by response category labels such as “strongly (dis)agree” or “completely (dis)agree.” Although these labels may exert a systematic influence on responses since they are common to all items, academic research on the effect of different labels is surprisingly scarce. In order to help researchers choose appropriate category labels, we contrast the intensity hypothesis (which posits t…
The biasing effect of common method variance
Analyzing factorial survey data with structural equation models
In factorial survey designs, respondents evaluate multiple short descriptions of social objects (vignettes) that experimentally vary different levels of attributes of interest. Analytical methods (including individual-level regression analysis and multilevel models) estimate the weights (or utilities) assigned to the levels of the different attributes by participants to arrive at an overall response to the vignettes. In the current paper, we expl…
Computer Science (7 works) · Psychology (6 works) · Mathematics (5 works) · Social Psychology (5 works) · Statistics (5 works) · Acquiescence (4 works) · Developmental psychology (4 works) · Econometrics (4 works) · Psychometrics (4 works) · Behavioral Health and Interventions (3 works)