Applying Logistic Regression to Detect Differential Item Functioning in Multidimensional Data
نویسندگان
چکیده
منابع مشابه
Differential Item Functioning Detection with Logistic Regression
résumé – Détection du fonctionnement différentiel d’items par régression logistique La régression logistique a été utilisée comme une méthode d’identification du DIF dans différents contextes. Certaines études ont montré que cette procédure peut être affectée par des variables comme le ratio des tailles entre groupes, la taille de l’échantillon, et qu’elle semble liée avec les gammes de difficu...
متن کاملExtension of an iterative hybrid ordinal logistic regression/item response theory approach to detect and account for differential item functioning in longitudinal data.
Many constructs are measured using multi-item data collection instruments. Differential item functioning (DIF) occurs when construct-irrelevant covariates interfere with the relationship between construct levels and item responses. DIF assessment is an active area of research, and several techniques are available to identify and account for DIF in cross-sectional settings. Many studies include ...
متن کاملMultiple Ways to Detect Differential Item Functioning in SAS
Differential item functioning (DIF), as an assessment tool, has been widely used in quantitative psychology, educational measurement, business management, and insurance and healthcare industries. The purpose of DIF analyses is to detect response differences of items in questionnaires, rating scales, or tests across different subgroups (e.g., gender), while controlling for ability level. There a...
متن کاملUse of multilevel logistic regression to identify the causes of differential item functioning.
Given that a key function of tests is to serve as evaluation instruments and for decision making in the fields of psychology and education, the possibility that some of their items may show differential behaviour is a major concern for psychometricians. In recent decades, important progress has been made as regards the efficacy of techniques designed to detect this differential item functioning...
متن کاملDifferential item functioning analysis with ordinal logistic regression techniques. DIFdetect and difwithpar.
INTRODUCTION We present an ordinal logistic regression model for identification of items with differential item functioning (DIF) and apply this model to a Mini-Mental State Examination (MMSE) dataset. We employ item response theory ability estimation in our models. Three nested ordinal logistic regression models are applied to each item. Model testing begins with examination of the statistical...
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ژورنال
عنوان ژورنال: Frontiers in Psychology
سال: 2018
ISSN: 1664-1078
DOI: 10.3389/fpsyg.2018.01302