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Roberson, Nathan D.; Zumbo, Bruno D. – International Journal of Testing, 2019
This paper investigates measurement invariance as it relates to migration background using the Program for International Student Assessment measure of social belonging. We explore how the use of two measurement invariance techniques provide insights into differential item functioning using the alignment method in conjunction with logistic…
Descriptors: Achievement Tests, Foreign Countries, International Assessment, Secondary School Students
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Zumbo, Bruno D.; Liu, Yan; Wu, Amery D.; Shear, Benjamin R.; Olvera Astivia, Oscar L.; Ark, Tavinder K. – Language Assessment Quarterly, 2015
Methods for detecting differential item functioning (DIF) and item bias are typically used in the process of item analysis when developing new measures; adapting existing measures for different populations, languages, or cultures; or more generally validating test score inferences. In 2007 in "Language Assessment Quarterly," Zumbo…
Descriptors: Test Bias, Test Items, Holistic Approach, Models
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Oliveri, María Elena; Ercikan, Kadriye; Zumbo, Bruno D. – Applied Measurement in Education, 2014
Heterogeneity within English language learners (ELLs) groups has been documented. Previous research on differential item functioning (DIF) analyses suggests that accurate DIF detection rates are reduced greatly when groups are heterogeneous. In this simulation study, we investigated the effects of heterogeneity within linguistic (ELL) groups on…
Descriptors: Test Bias, Accuracy, English Language Learners, Simulation
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Hidalgo, Mª Dolores; Gómez-Benito, Juana; Zumbo, Bruno D. – Educational and Psychological Measurement, 2014
The authors analyze the effectiveness of the R[superscript 2] and delta log odds ratio effect size measures when using logistic regression analysis to detect differential item functioning (DIF) in dichotomous items. A simulation study was carried out, and the Type I error rate and power estimates under conditions in which only statistical testing…
Descriptors: Regression (Statistics), Test Bias, Effect Size, Test Items
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Liu, Yan; Zumbo, Bruno D.; Gustafson, Paul; Huang, Yi; Kroc, Edward; Wu, Amery D. – Practical Assessment, Research & Evaluation, 2016
A variety of differential item functioning (DIF) methods have been proposed and used for ensuring that a test is fair to all test takers in a target population in the situations of, for example, a test being translated to other languages. However, once a method flags an item as DIF, it is difficult to conclude that the grouping variable (e.g.,…
Descriptors: Test Items, Test Bias, Probability, Scores
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Oliveri, Maria Elena; Olson, Brent F.; Ercikan, Kadriye; Zumbo, Bruno D. – International Journal of Testing, 2012
In this study, the Canadian English and French versions of the Problem-Solving Measure of the Programme for International Student Assessment 2003 were examined to investigate their degree of measurement comparability at the item- and test-levels. Three methods of differential item functioning (DIF) were compared: parametric and nonparametric item…
Descriptors: Foreign Students, Test Bias, Speech Communication, Effect Size
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Oberle, Eva; Schonert-Reichl, Kimberly A.; Guhn, Martin; Zumbo, Bruno D.; Hertzman, Clyde – Canadian Journal of School Psychology, 2014
The goal of this research was to examine the role of supportive adults to emotional well-being in a population of Grade 4 students attending public schools in Vancouver, Canada. Reflecting the ecology of middle childhood, we examined the extent to which perceived family, school, and neighborhood support relate to young people's self-reported…
Descriptors: Well Being, Grade 4, Public Schools, Family Involvement
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Lloyd, Jennifer E. V.; Zumbo, Bruno D.; Siegel, Linda S. – Journal of Educational Research & Policy Studies, 2009
In the past 20 years, the analysis of individual change has become a key focus in educational research. There are several parametric analyses that centre upon quantifying change. Some researchers state that such analyses should only occur if the measure itself remains completely unchanged across waves, arguing that it is not possible to link or…
Descriptors: Educational Research, Measures (Individuals), Educational Change, Statistical Analysis
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Zumbo, Bruno D. – Language Assessment Quarterly, 2007
The purpose of this article is to reflect on the state of the theorizing and praxis of DIF in general: where it has been; where it is now; and where I think it is, and should, be going. Along the way the major trends in the differential item functioning (DIF) literature are summarized and integrated providing some organizing principles that allow…
Descriptors: Test Bias, Evaluation Research, Research Methodology, Regression (Statistics)
Zumbo, Bruno D.; Ochieng, Charles O. – 2002
Many measures found in educational research are ordered categorical response variables that are empirical realizations of an underlying normally distributed variate. These ordered categorical variables are commonly referred to as Likert or rating scale data. Regression models are commonly fit using these ordered categorical variables as the…
Descriptors: Educational Research, Goodness of Fit, Likert Scales, Monte Carlo Methods
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Gelin, Michaela N.; Carleton, Bruce C.; Smith, M. Anne; Zumbo, Bruno D. – Social Indicators Research, 2004
The present study investigated the factor structure and item analysis of the Mini Asthma Quality of Life Questionnaire (MiniAQLQ) in a sample of 258 community-dwelling asthmatic adults between the ages of 16 and 87 years. The mean age was 56 years for males (N = 99) and 50 years for females (N = 159). This study compared the fit of three factor…
Descriptors: Gender Bias, Regression (Statistics), Questionnaires, Females
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Kristjansson, Elizabeth; Aylesworth, Richard; Mcdowell, Ian; Zumbo, Bruno D. – Educational and Psychological Measurement, 2005
Item bias is a major threat to measurement validity. Methods for detecting differential item functioning (DIF) are now commonly used to identify potentially biased items. DIF detection methods for dichotomous items are well developed, but those for ordinal items are less well developed. In this article, the authors compare four methods for…
Descriptors: Discriminant Analysis, Test Bias, Multivariate Analysis, Regression (Statistics)