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Jeon, Minjeong; Rijmen, Frank; Rabe-Hesketh, Sophia – Journal of Educational and Behavioral Statistics, 2013
The authors present a generalization of the multiple-group bifactor model that extends the classical bifactor model for categorical outcomes by relaxing the typical assumption of independence of the specific dimensions. In addition to the means and variances of all dimensions, the correlations among the specific dimensions are allowed to differ…
Descriptors: Test Bias, Generalization, Models, Item Response Theory
Andrich, David; Hagquist, Curt – Journal of Educational and Behavioral Statistics, 2012
The literature in modern test theory on procedures for identifying items with differential item functioning (DIF) among two groups of persons includes the Mantel-Haenszel (MH) procedure. Generally, it is not recognized explicitly that if there is real DIF in some items which favor one group, then as an artifact of this procedure, artificial DIF…
Descriptors: Test Bias, Test Items, Item Response Theory, Statistical Analysis
Ding, Lin – Physical Review Special Topics - Physics Education Research, 2014
Discipline-based science concept assessments are powerful tools to measure learners' disciplinary core ideas. Among many such assessments, the Brief Electricity and Magnetism Assessment (BEMA) has been broadly used to gauge student conceptions of key electricity and magnetism (E&M) topics in college-level introductory physics courses.…
Descriptors: Scientific Concepts, Science Tests, College Science, Physics
Chen, Ying-Fang; Jiao, Hong – Educational Assessment, 2014
Differential item functioning (DIF) may be caused by an interaction of multiple manifest grouping variables or unexplored manifest variables, which cannot be detected by conventional DIF detection methods that are based on a single manifest grouping variable. Such DIF may be detected by a latent approach using the mixture item response theory…
Descriptors: Test Bias, Item Response Theory, Reading Tests, Student Surveys
Jin, Ying; Myers, Nicholas D.; Ahn, Soyeon – Educational and Psychological Measurement, 2014
Previous research has demonstrated that differential item functioning (DIF) methods that do not account for multilevel data structure could result in too frequent rejection of the null hypothesis (i.e., no DIF) when the intraclass correlation coefficient (?) of the studied item was the same as the ? of the total score. The current study extended…
Descriptors: Test Bias, Correlation, Scores, Comparative Analysis
Hou, Likun; de la Torre, Jimmy; Nandakumar, Ratna – Journal of Educational Measurement, 2014
Analyzing examinees' responses using cognitive diagnostic models (CDMs) has the advantage of providing diagnostic information. To ensure the validity of the results from these models, differential item functioning (DIF) in CDMs needs to be investigated. In this article, the Wald test is proposed to examine DIF in the context of CDMs. This study…
Descriptors: Test Bias, Models, Simulation, Error Patterns
Lee, HyeSun; Geisinger, Kurt F. – International Journal of Testing, 2014
Differential item functioning (DIF) analysis is important in terms of test fairness. While DIF analyses have mainly been conducted with manifest grouping variables, such as gender or race/ethnicity, it has been recently claimed that not only the grouping variables but also contextual variables pertaining to examinees should be considered in DIF…
Descriptors: Test Bias, Gender Differences, Regression (Statistics), Statistical Analysis
Aguinis, Herman; Culpepper, Steven A.; Pierce, Charles A. – Journal of Educational Psychology, 2016
We introduce the concept of "differential prediction generalization" in the context of college admissions testing. Specifically, we assess the extent to which predicted first-year college grade point average (GPA) based on high-school grade point average (HSGPA) and SAT scores depends on a student's ethnicity and gender and whether this…
Descriptors: Prediction, Grade Point Average, High School Students, College Freshmen
Rawls, Anita; Zhang, Xiuyuan; Hendrickson, Amy – College Board, 2016
The classification of test-takers into ethnic and racial groups ensures individuals and groups, identified in Title VI and VII of the Civil Rights Act of 1964 and the 14th Amendment to the Constitution of the United States, are protected from adverse treatment (Camilli, 2006). The United States Office of Management and Budget (OMB) suggests that…
Descriptors: Racial Identification, Ethnic Groups, Multiracial Persons, Test Bias
Song, Xiaomei; He, Lianzhen – Language Testing in Asia, 2015
"Project 211" is one of the most important educational policies in China, which aims at selecting a small number of "key universities" for sustainable development in the 21st century. These selected "key universities" have received substantial funding from the government so they can recruit outstanding faculty and be…
Descriptors: Foreign Countries, Educational Policy, Public Policy, Language Tests
Elosua, Paula; Wells, Craig – Psicologica: International Journal of Methodology and Experimental Psychology, 2013
The purpose of the present study was to compare the Type I error rate and power of two model-based procedures, the mean and covariance structure model (MACS) and the item response theory (IRT), and an observed-score based procedure, ordinal logistic regression, for detecting differential item functioning (DIF) in polytomous items. A simulation…
Descriptors: Test Bias, Test Items, Item Response Theory, Regression (Statistics)
Nader, Ingo W.; Niederkrotenthaler, Thomas; Schild, Anne H. E.; Koller, Ingrid; Tran, Ulrich S.; Kapusta, Nestor D.; Sonneck, Gernot; Voracek, Martin – Suicide and Life-Threatening Behavior, 2013
Knowledge about suicide postvention (KSPV) is an important distal outcome in the evaluation of suicide prevention programs that focus on the bereaved. However, most scales are specifically tailored to the evaluation study in question and psychometric properties are often unsatisfactory. Therefore, we developed the KSPV scale. Scale properties were…
Descriptors: Suicide, Item Response Theory, Measures (Individuals), Test Construction
Banks, Kathleen – Educational Measurement: Issues and Practice, 2013
The purpose of this article was to present a synthesis of the peer-reviewed differential bundle functioning (DBF) research that has been conducted to date. A total of 16 studies were synthesized according to the following characteristics: tests used and learner groups, organizing principles used for developing bundles, DBF detection methods used,…
Descriptors: Test Bias, Research, Tests, Student Characteristics
Scalise, Kathleen; Irvin, P. Shawn; Alresheed, Fahad; Zvoch, Keith; Yim-Dockery, Huna; Park, Sunhi; Landis, Britt; Meng, Paul; Kleinfelder, Bren; Halladay, Lauren; Partsafas, Andrea – Journal of Special Education Technology, 2018
In this article, we describe current research findings on assessment accommodations and universal design within the context of emerging interactive digital assessment tasks that employ simulations such as in science, technology, engineering, and mathematics (STEM). STEM education in many classrooms now includes digitally based activities such as…
Descriptors: STEM Education, Testing Accommodations, Access to Education, Computer Simulation
Levi-Keren, Michal – Cogent Education, 2016
This study explains mathematical difficulties of students who immigrated from the Former Soviet Union (FSU) vis-à-vis Israeli students, by identifying the existing bias factors in achievement tests. These factors are irrelevant to the mathematical knowledge being measured, and therefore threaten the test results. The bias factors were identified…
Descriptors: Mathematics Achievement, Mathematics Tests, Immigrants, Interviews

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