scholarly journals Moving beyond the study of gender differences: An analysis of measurement invariance and differential item functioning of an ICT literacy scale

2017 ◽  
Vol 113 ◽  
pp. 280-293 ◽  
Author(s):  
Ove E. Hatlevik ◽  
Ronny Scherer ◽  
Knut-Andreas Christophersen
Keyword(s):  
Gender Differences ◽  
Differential Item Functioning ◽  
Measurement Invariance ◽  
Ict Literacy ◽  
Item Functioning

scholarly journals Item response analysis of the Geriatric Anxiety Inventory among the elderly in China: dimensionality and differential item functioning test

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Zhongquan Li ◽  
Xia Zhao ◽  
Ang Sheng ◽  
Li Wang
Keyword(s):  
Differential Item Functioning ◽  
Measurement Invariance ◽  
The Elderly ◽  
Anxiety Symptoms ◽  
Response Analysis ◽  
Scale Analysis ◽  
Mokken Scale Analysis ◽  
Item Functioning ◽  
Bifactor Modeling ◽  
Somatic Diseases

Abstract Background Anxiety symptoms are pervasive among elderly populations around the world. The Geriatric Anxiety Inventory (the GAI) has been developed and widely used in screening those suffering from severe symptoms. Although debates about its dimensionality have been mostly resolved by Molde et al. (2019) with bifactor modeling, evidence regarding its measurement invariance across sex and somatic diseases is still missing. Methods This study attempted to provide complemental evidence to the dimensionality debates of the GAI with Mokken scale analysis and to examine its measurement invariance across sex and somatic diseases by conducting differential item functioning (DIF) analysis among a sample of older Chinese adults. The data was from responses of a large representative sample (N = 1314) in the Chinese National Survey Data Archive, focusing on the mental health of elderly adults. Results The results of Mokken scale analysis confirmed the unidimensionality of the GAI, and DIF analysis indicated measurement invariance of this inventory across individuals with different sex and somatic diseases, with just a few items exhibiting item bias but all of them negligible. Conclusions All these findings supported the use of this inventory among Chinese elders to screen anxiety symptoms and to make comparisons across sex and somatic diseases.

scholarly journals Precision medicine implementation and research-practice partnerships: implications of measurement scale differential item functioning

F1000Research ◽  
2020 ◽  
Vol 9 ◽  
pp. 782
Author(s):  
John J. O. Mogaka ◽  
Moses J. Chimbari
Keyword(s):  
Differential Item Functioning ◽  
Precision Medicine ◽  
Measurement Invariance ◽  
Item Response ◽  
Biomedical Research ◽  
Measurement Scale ◽  
Measurement Tool ◽  
Research Practice ◽  
Validity And Reliability ◽  
Item Functioning

Background: Omics-based biomarkers (OBMs) inform precision medicine (PM). As omics-based technologies gradually move into clinical settings, however, a co-occurrence of biomedical research and clinical practice is likely an important variable in the implementation of PM. Currently, little is known about the implications of such research-practice co-occurrence. Methods: This study used data collected from a pilot study designed to inform a full-scale PM implementation study through the validation of the measurement tool. It applied item response theory (IRT) methods to assess the tool’s reliability and measurement invariance across two study subgroups associated with research and practice settings. Results: The study sample consisted of 31 participants. Measurement invariance assessment was through differential item functioning (DIF) analysis with bootstrapping through Monte Carlo simulation. Overall, 13 out of 22 items that formed the PMI scale had DIF at significance level α=0.25. Item response functions (IRFs) revealed how each subgroup members responded to scale items and their attitudes towards factors that influence PM implementation. Conclusions: Attitudinal similarities and differences towards factors influencing PM implementation amongst those in biomedical research as compared with those in practice were established. Results indicated PM implementation knowledge that is unique and common to both groups. The study established the validity and reliability of the new PM implementation measurement tool for the two subgroups.

Detection of Sex Differential Item Functioning in the Cornell Critical Thinking Test

2012 ◽  
Vol 28 (3) ◽  
pp. 201-207 ◽  
Author(s):  
Brian F. French ◽  
Brian Hand ◽  
William J. Therrien ◽  
Juan Antonio Valdivia Vazquez
Keyword(s):  
Logistic Regression ◽  
Critical Thinking ◽  
Differential Item Functioning ◽  
Measurement Invariance ◽  
Measurement Properties ◽  
Critical Component ◽  
Item Functioning ◽  
Item Level ◽  
Conscious Process ◽  
Mean Differences

Critical thinking (CT) can be described as the conscious process a person does to explore a situation or a problem from different perspectives. Accurate measurement of CT skills, especially across subgroups, depends in part on the measurement properties of an instrument being invariant or similar across those groups. The assessment of item-level invariance is a critical component of building a validity argument to ensure that scores on the Cornell Critical Thinking Test (CCTT) have similar meanings across groups. We used logistic regression to examine differential item functioning by sex in the CCTT-Form X. Results suggest that the items function similarly across boys and girls with only 5.6% (4) of items displaying DIF. This implies that any mean differences observed are not a function of a lack of measurement invariance and supports the validity of the inferences drawn when comparing boys and girls on scores on the CCTT.

scholarly journals Psychometric Properties of a French Version of the Perceived Motor Competence in Childhood Questionnaire

2021 ◽  
pp. 003151252110008
Author(s):  
Christophe Maïano ◽  
Alexandre J. S. Morin ◽  
Johanne April ◽  
Maike Tietjens ◽  
Charlaine St-Jean ◽  
...  
Keyword(s):  
Psychometric Properties ◽  
Differential Item Functioning ◽  
Measurement Invariance ◽  
Second Order ◽  
Validity And Reliability ◽  
Motor Competence ◽  
French Version ◽  
Item Functioning ◽  
French Speaking ◽  
Order Factor

In this study, we examined the psychometric properties of a French version of the Perceived Motor Competence in Childhood (PMC-C) questionnaire. The participants were 219 French-speaking children (aged 5-12 years), recruited from elementary schools in the Canadian Province of Quebec. Results supported the validity and reliability of a second-order confirmatory factor analytic (CFA) model, including one higher-order factor. Additional analyses supported the complete measurement invariance of the first- and second-order factor structure across sex and indicated no differential item functioning or latent mean differences in PMC-C factors as a function of selected predictors (i.e., age, body mass-index and physical activity/sport involvement). Thus, this French version of the PMC-C has satisfactory psychometric properties (i.e., factor validity and reliability, measurement invariance and differential item functioning) and can be used to assess French-speaking children’s perceived motor competence.

scholarly journals Partial Measurement Invariance: Extending and Evaluating the Cluster Approach for Identifying Anchor Items

2021 ◽  
pp. 014662162110428
Author(s):  
Steffi Pohl ◽  
Daniel Schulze ◽  
Eric Stets
Keyword(s):  
Differential Item Functioning ◽  
Measurement Invariance ◽  
Real Data ◽  
Cluster Approach ◽  
Data Set ◽  
Item Functioning ◽  
Item Parameters ◽  
Mean Differences ◽  
True Group ◽  
Partial Measurement Invariance

When measurement invariance does not hold, researchers aim for partial measurement invariance by identifying anchor items that are assumed to be measurement invariant. In this paper, we build on Bechger and Maris’s approach for identification of anchor items. Instead of identifying differential item functioning (DIF)-free items, they propose to identify different sets of items that are invariant in item parameters within the same item set. We extend their approach by an additional step in order to allow for identification of homogeneously functioning item sets. We evaluate the performance of the extended cluster approach under various conditions and compare its performance to that of previous approaches, that are the equal-mean difficulty (EMD) approach and the iterative forward approach. We show that the EMD and the iterative forward approaches perform well in conditions with balanced DIF or when DIF is small. In conditions with large and unbalanced DIF, they fail to recover the true group mean differences. With appropriate threshold settings, the cluster approach identified a cluster that resulted in unbiased mean difference estimates in all conditions. Compared to previous approaches, the cluster approach allows for a variety of different assumptions as well as for depicting the uncertainty in the results that stem from the choice of the assumption. Using a real data set, we illustrate how the assumptions of the previous approaches may be incorporated in the cluster approach and how the chosen assumption impacts the results.

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