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Showing 1 to 15 of 27 results Save | Export
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Randall, Jennifer – Educational Assessment, 2023
In a justice-oriented antiracist assessment process, attention to the disruption of white supremacy must occur at every stage--from construct articulation to score reporting. An important step in the assessment development process is the item review stage often referred to as Bias/Fairness and Sensitivity Review. I argue that typical approaches to…
Descriptors: Social Justice, Racism, Test Bias, Test Items
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J. A. Bialo; H. Li – Educational Assessment, 2024
This study evaluated differential item functioning (DIF) in achievement motivation items before and after using anchoring vignettes as a statistical tool to account for group differences in response styles across gender and ethnicity. We applied the nonparametric scoring of the vignettes to motivation items from the 2015 Programme for…
Descriptors: Test Bias, Student Motivation, Achievement Tests, Secondary School Students
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Katherine T. Rhodes; Julie A. Washington; Sibylla Leon Guerrero – Educational Assessment, 2024
Little is known about mismatches between the language of mathematics testing instruments and the rich linguistic repertoires that African American children develop at home and in the community. The current study aims to provide a proof of concept and novel explanatory item response design that uses error analysis to investigate the relationship…
Descriptors: Black Dialects, African American Students, Language Usage, Mathematics Tests
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Russell, Michael; Szendey, Olivia; Kaplan, Larry – Educational Assessment, 2021
Differential Item Function (DIF) analysis is commonly employed to examine potential bias produced by a test item. Since its introduction DIF analyses have focused on potential bias related to broad categories of oppression, including gender, racial stratification, economic class, and ableness. More recently, efforts to examine the effects of…
Descriptors: Test Bias, Achievement Tests, Individual Characteristics, Disadvantaged
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Russell, Michael; Szendey, Olivia; Li, Zhushan – Educational Assessment, 2022
Recent research provides evidence that an intersectional approach to defining reference and focal groups results in a higher percentage of comparisons flagged for potential DIF. The study presented here examined the generalizability of this pattern across methods for examining DIF. While the level of DIF detection differed among the four methods…
Descriptors: Comparative Analysis, Item Analysis, Test Items, Test Construction
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Yiyun Fan; Kristin L. K. Koskey; Dara Bright; Gabriel Matney; Jonathan Bostic; Toni A. May; Gregory E. Stone – Educational Assessment, 2024
Advancement of testing of mathematical problem-solving skills calls for open-ended, realistic tasks particularly susceptible to bias, compromising the score validity and fairness of tests. Informed by universal design principles, this study framed 360 prototype items developed for the "Problem-solving Measures Grades 6-8 Computer Adaptive…
Descriptors: Access to Education, Mathematics Education, Problem Solving, Mathematics Tests
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Gotch, Chad M.; French, Brian F. – Educational Assessment, 2020
The State of Washington requires school districts to file court petitions on students with excessive unexcused absences. The "Washington Assessment of Risks and Needs of Students" (WARNS), a self-report screening instrument developed for use by high school and juvenile court personnel in such situations, purports to measure six facets of…
Descriptors: Risk Assessment, Needs Assessment, Truancy, Measurement Techniques
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Ercikan, Kadriye; Guo, Hongwen; He, Qiwei – Educational Assessment, 2020
Comparing group is one of the key uses of large-scale assessment results, which are used to gain insights to inform policy and practice and to examine the comparability of scores and score meaning. Such comparisons typically focus on examinees' final answers and responses to test questions, ignoring response process differences groups may engage…
Descriptors: Data Use, Responses, Comparative Analysis, Test Bias
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Buono, Stephanie; Jang, Eunice Eunhee – Educational Assessment, 2021
Increasing linguistic diversity in classrooms has led researchers to examine the validity and fairness of standardized achievement tests, specifically concerning whether test score interpretations are free of bias and score use is fair for all students. This study examined whether mathematics achievement test items that contain complex language…
Descriptors: English Language Learners, Standardized Tests, Achievement Tests, Culture Fair Tests
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Avenia-Tapper, Brianna; Llosa, Lorena – Educational Assessment, 2015
This article addresses the issue of language-related construct-irrelevant variance on content area tests from the perspective of systemic functional linguistics. We propose that the construct relevance of language used in content area assessments, and consequent claims of construct-irrelevant variance and bias, should be determined according to…
Descriptors: English Language Learners, Science Tests, Difficulty Level, Language Usage
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Mao, Liyang; Liu, Ou Lydia; Roohr, Katrina; Belur, Vinetha; Mulholland, Matthew; Lee, Hee-Sun; Pallant, Amy – Educational Assessment, 2018
Scientific argumentation is one of the core practices for teachers to implement in science classrooms. We developed a computer-based formative assessment to support students' construction and revision of scientific arguments. The assessment is built upon automated scoring of students' arguments and provides feedback to students and teachers.…
Descriptors: Computer Assisted Testing, Science Tests, Scoring, Automation
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Li, Hongli; Qin, Qi; Lei, Pui-Wa – Educational Assessment, 2017
In recent years, students' test scores have been used to evaluate teachers' performance. The assumption underlying this practice is that students' test performance reflects teachers' instruction. However, this assumption is generally not empirically tested. In this study, we examine the effect of teachers' instruction on test performance at the…
Descriptors: Achievement Tests, Foreign Countries, Elementary Secondary Education, Mathematics Achievement
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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
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Dodeen, Hamzeh – Educational Assessment, 2013
Students' opinions continue to be a significant factor in the evaluation of teaching in higher education institutions. The purpose of this study was to psychometrically assess short students evaluation of teaching (SET) forms using the UAE University form as a model. The study evaluated the form validity, reliability, the overall question, and…
Descriptors: Foreign Countries, Student Evaluation of Teacher Performance, Test Validity, Test Reliability
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Cawthon, Stephanie; Leppo, Rachel; Carr, Therese; Kopriva, Rebecca – Educational Assessment, 2013
When do item adaptations veer from their intent and, instead of increasing access, modify the construct being measured? This study analyzed early elementary student achievement data from a statewide field test containing both standard and adapted science items. Four student groups were included in this analysis: English language learners, students…
Descriptors: Testing Accommodations, Test Items, Adaptive Testing, Science Tests
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