Contributions to Constructing Forced-Choice Questionnaires Using the Thurstonian IRT Model
Bibliographic Data
| ID | 19289886 |
|---|---|
| Authors | Luning Sun (0000-0002-2470-4278, The Psychometrics Centre, University of Cambridge), Zijie Qin (0000-0002-3707-3444, Beijing Normal University), Shan Wang (0000-0002-9487-0829, Beijing Normal University), Xuetao Tian (0000-0001-8407-8718, Beijing Normal University), Fang Luo (0009-0002-6108-3615, Beijing Normal University, corresponding author) |
| Year | 2024 |
| Volume | 59 |
| Issue | 2 |
| Pages | 229-250 |
| Publication date | 2024-03-03 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Multivariate Behavioral Research (JOURNAL) |
| Journal identifiers | ISSN: 0027-3171 • E-ISSN: 1532-7906 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/00273171.2023.2248979 |
| PMID | 37776890 |
| OpenAlex | W4387212051 |
| Language | EN |
| Citations received | 1 |
| References cited | 62 |
Forced-choice questionnaires involve presenting items in blocks and asking respondents to provide a full or partial ranking of the items within each block. To prevent involuntary or voluntary response distortions, blocks are usually formed of items that possess similar levels of desirability. Assembling forced-choice blocks is not a trivial process, because in addition to desirability, both the direction and magnitude of relationships between items and the traits being measured (i.e., factor loadings) need to be carefully considered. Based on simulations and empirical studies using item pairs, we provide recommendations on how to construct item pairs matched by desirability. When all pairs contain items keyed in the same direction, score reliability is improved by maximizing within-block loading differences. Higher reliability is obtained when even a small number of pairs consist of unequally keyed items
Cognitive psychology · Econometrics · Item response theory · Psychometrics · Statistics · Two-alternative forced choice · Computer Science · Customer Service Quality and Loyalty · Mathematics · Psychology
The social desirability variable in personality assessment and research
Factor Analysis with Ordinal Indicators
Modeling Acquiescence in Measurement Models for Two Balanced Sets of Items
Cutoff criteria for fit indexes in covariance structure analysis
A new scale of social desirability independent of psychopathology.
Power analysis and determination of sample size for covariance structure modeling.
Measurement and Control of Response Bias
The Development and Validation of a Multidimensional Forced-Choice Format Character Measure
An Evaluation of Item Selection Strategies in Personality Scale Construction
Discriminant Validity of NEO-PIR Facet Scales
On the Statistical and Practical Limitations of Thurstonian IRT Models
Item Response Modeling of Forced-Choice Questionnaires
Multiscale Measurement of Extreme Response Style
Thurstonian Scaling of Compositional Questionnaire Data
Factor Analytic Procedures for Assessing Social Desirability in Binary Items
Item Response Modeling of Paired Comparison and Ranking Data
Response Styles in Survey Research
Ranking the Ratings
Five-factor inventories have a major general factor related to social desirability which can be reduced by framing items neutrally
Two-component models of socially desirable responding
A principal-components analysis of the Minnesota Multiphasic Personality Inventory factor scales
| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2026 - 2026 (1) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 1 |