Publication Date
| In 2026 | 0 |
| Since 2025 | 38 |
| Since 2022 (last 5 years) | 225 |
| Since 2017 (last 10 years) | 570 |
| Since 2007 (last 20 years) | 1377 |
Descriptor
Source
Author
Publication Type
Education Level
Audience
| Researchers | 110 |
| Practitioners | 107 |
| Teachers | 46 |
| Administrators | 25 |
| Policymakers | 24 |
| Counselors | 12 |
| Parents | 7 |
| Students | 7 |
| Support Staff | 4 |
| Community | 2 |
Location
| California | 61 |
| Canada | 60 |
| United States | 57 |
| Turkey | 47 |
| Australia | 43 |
| Florida | 34 |
| Germany | 26 |
| Texas | 26 |
| China | 25 |
| Netherlands | 25 |
| Iran | 22 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards without Reservations | 1 |
| Meets WWC Standards with or without Reservations | 1 |
| Does not meet standards | 1 |
Corballis, Michael C.; Hattie, John; Fletcher, Richard – Neuropsychologia, 2008
Evidence from a large-scale study of 11-year olds in Britain suggests that ambidextrous individuals may be disadvantaged in tests of verbal, nonverbal, reading, and mathematical skills relative to right- and left-handers, but this basic finding was not replicated in another study of younger boys in Germany. Here, we present data based on a…
Descriptors: Foreign Countries, Handedness, Preadolescents, Test Bias
Klockars, Alan J.; Lee, Yoonsun – Journal of Educational Measurement, 2008
Monte Carlo simulations with 20,000 replications are reported to estimate the probability of rejecting the null hypothesis regarding DIF using SIBTEST when there is DIF present and/or when impact is present due to differences on the primary dimension to be measured. Sample sizes are varied from 250 to 2000 and test lengths from 10 to 40 items.…
Descriptors: Test Bias, Test Length, Reference Groups, Probability
Finch, W. Holmes; French, Brian F. – Educational and Psychological Measurement, 2008
A number of statistical methods exist for the detection of differential item functioning (DIF). The performance of DIF methods has been widely studied and generally found to be effective in the detection of both uniform and nonuniform DIF. Anecdotal reports suggest that these techniques may too often incorrectly detect the presence of one type of…
Descriptors: Test Bias, Simulation, Statistical Analysis, Probability
Castro, Yessenia; Gordon, Kathryn H.; Brown, Jessica S.; Anestis, Joye C.; Joiner, Thomas E., Jr. – Assessment, 2008
The current study examined the possibility of differential predictive accuracy of selected Minnesota Multiphasic Personality Inventory-Second Edition (MMPI-2) clinical and Restructured Clinical (RC) scales in a group of Black and White mental health center clients. Results indicate that Black clients scored higher than White clients on one…
Descriptors: Personality Measures, Prediction, Racial Differences, Test Bias
Anjorin, Idayatou – ProQuest LLC, 2009
Students with learning disabilities are increasingly included in state accountability systems. The purpose of this study was to investigate disability-based differential item functioning (DIF) on a statewide high-stakes mathematics test administered in the Spring of 2003 to all students seeking a high-school diploma in one state in the eastern…
Descriptors: Learning Disabilities, Mathematics Tests, Program Effectiveness, Scores
Polikoff, Morgan S.; May, Henry; Porter, Andrew C.; Elliott, Stephen N.; Goldring, Ellen; Murphy, Joseph – Journal of School Leadership, 2009
The Vanderbilt Assessment of Leadership in Education is a 360-degree assessment of the effectiveness of principals' learning-centered leadership behaviors. In this report, we present results from a differential item functioning (DIF) study of the assessment. Using data from a national field trial, we searched for evidence of DIF on school level,…
Descriptors: Principals, Leadership, Administrator Characteristics, Context Effect
Arbuthnot, Keena – Harvard Educational Review, 2009
Although research has extensively documented sources for differential item functioning and stereotype threat--especially among women and black college students--little is known about group differences in test-taking strategies among black adolescent students. In this article, Arbuthnot presents findings from two studies that seek to explore how…
Descriptors: Stereotypes, African American Students, Grade 8, Standardized Tests
Le, Luc T. – International Journal of Testing, 2009
This study uses PISA cycle 3 field trial data to investigate the relationships between gender differential item functioning (DIF) across countries and test languages for science items and their formats and the four other dimensions defined in PISA framework: focus, context, competency, and scientific knowledge. The data used were collected from 60…
Descriptors: Test Bias, Gender Bias, Science Tests, Test Items
Woods, Carol M. – Applied Psychological Measurement, 2009
Differential item functioning (DIF) occurs when items on a test or questionnaire have different measurement properties for one group of people versus another, irrespective of group-mean differences on the construct. Methods for testing DIF require matching members of different groups on an estimate of the construct. Preferably, the estimate is…
Descriptors: Test Results, Testing, Item Response Theory, Test Bias
Woods, Carol M. – Multivariate Behavioral Research, 2009
Differential item functioning (DIF) occurs when an item on a test or questionnaire has different measurement properties for 1 group of people versus another, irrespective of mean differences on the construct. This study focuses on the use of multiple-indicator multiple-cause (MIMIC) structural equation models for DIF testing, parameterized as item…
Descriptors: Test Bias, Structural Equation Models, Item Response Theory, Testing
Lollis, Jana; LaSasso, Carol – Journal of Deaf Studies and Deaf Education, 2009
Deaf students consistently score lower on standardized measures of reading comprehension than their hearing peers. Most of the studies that have been conducted to explain this phenomenon have focused on variables within the reader, and important differences have been found between deaf and hearing readers. More recently, in the face of…
Descriptors: Reading Comprehension, Deafness, Reading Tests, Graduation
Finch, Holmes – Applied Psychological Measurement, 2010
The accuracy of item parameter estimates in the multidimensional item response theory (MIRT) model context is one that has not been researched in great detail. This study examines the ability of two confirmatory factor analysis models specifically for dichotomous data to properly estimate item parameters using common formulae for converting factor…
Descriptors: Item Response Theory, Computation, Factor Analysis, Models
Camilli, Gregory; Prowker, Adam; Dossey, John A.; Lindquist, Mary M.; Chiu, Ting-Wei; Vargas, Sadako; de la Torre, Jimmy – Journal of Educational Measurement, 2008
A new method for analyzing differential item functioning is proposed to investigate the relative strengths and weaknesses of multiple groups of examinees. Accordingly, the notion of a conditional measure of difference between two groups (Reference and Focal) is generalized to a conditional variance. The objective of this article is to present and…
Descriptors: Test Bias, National Competency Tests, Grade 4, Difficulty Level
Wyse, Adam E.; Mapuranga, Raymond – International Journal of Testing, 2009
Differential item functioning (DIF) analysis is a statistical technique used for ensuring the equity and fairness of educational assessments. This study formulates a new DIF analysis method using the information similarity index (ISI). ISI compares item information functions when data fits the Rasch model. Through simulations and an international…
Descriptors: Test Bias, Evaluation Methods, Test Items, Educational Assessment
Yoo, Jin Eun – Educational and Psychological Measurement, 2009
This Monte Carlo study investigates the beneficiary effect of including auxiliary variables during estimation of confirmatory factor analysis models with multiple imputation. Specifically, it examines the influence of sample size, missing rates, missingness mechanism combinations, missingness types (linear or convex), and the absence or presence…
Descriptors: Monte Carlo Methods, Research Methodology, Test Validity, Factor Analysis

Peer reviewed
Direct link
