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New Meridian Corporation, 2020
New Meridian Corporation has developed the "Quality Testing Standards and Criteria for Comparability Claims" (QTS). The goal of the QTS is to provide guidance to states that are interested in including content from the New Meridian item bank and intend to make comparability claims with "other assessments" that include New…
Descriptors: Testing, Standards, Comparative Analysis, Guidelines
New Meridian Corporation, 2020
New Meridian Corporation has developed the "Quality Testing Standards and Criteria for Comparability Claims" (QTS). The goal of the QTS is to provide guidance to states that are interested in including content from the New Meridian item bank and intend to make comparability claims with "other assessments" that include New…
Descriptors: Testing, Standards, Comparative Analysis, Guidelines
New Meridian Corporation, 2020
New Meridian Corporation has developed the "Quality Testing Standards and Criteria for Comparability Claims" (QTS) to provide guidance to states that are interested in including New Meridian content and would like to either keep reporting scores on the New Meridian Scale or use the New Meridian performance levels; that is, the state…
Descriptors: Testing, Standards, Comparative Analysis, Test Content
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Zwick, Rebecca; Ye, Lei; Isham, Steven – Journal of Educational Measurement, 2018
In typical differential item functioning (DIF) assessments, an item's DIF status is not influenced by its status in previous test administrations. An item that has shown DIF at multiple administrations may be treated the same way as an item that has shown DIF in only the most recent administration. Therefore, much useful information about the…
Descriptors: Test Bias, Testing, Test Items, Bayesian Statistics
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Kuang, Huan; Sahin, Fusun – Large-scale Assessments in Education, 2023
Background: Examinees may not make enough effort when responding to test items if the assessment has no consequence for them. These disengaged responses can be problematic in low-stakes, large-scale assessments because they can bias item parameter estimates. However, the amount of bias, and whether this bias is similar across administrations, is…
Descriptors: Test Items, Comparative Analysis, Mathematics Tests, Reaction Time
Alexander James Kwako – ProQuest LLC, 2023
Automated assessment using Natural Language Processing (NLP) has the potential to make English speaking assessments more reliable, authentic, and accessible. Yet without careful examination, NLP may exacerbate social prejudices based on gender or native language (L1). Current NLP-based assessments are prone to such biases, yet research and…
Descriptors: Gender Bias, Natural Language Processing, Native Language, Computational Linguistics
Ayodele, Alicia Nicole – ProQuest LLC, 2017
Within polytomous items, differential item functioning (DIF) can take on various forms due to the number of response categories. The lack of invariance at this level is referred to as differential step functioning (DSF). The most common DSF methods in the literature are the adjacent category log odds ratio (AC-LOR) estimator and cumulative…
Descriptors: Statistical Analysis, Test Bias, Test Items, Scores
Liu, Junhui; Brown, Terran; Chen, Jianshen; Ali, Usama; Hou, Likun; Costanzo, Kate – Partnership for Assessment of Readiness for College and Careers, 2016
The Partnership for Assessment of Readiness for College and Careers (PARCC) is a state-led consortium working to develop next-generation assessments that more accurately, compared to previous assessments, measure student progress toward college and career readiness. The PARCC assessments include both English Language Arts/Literacy (ELA/L) and…
Descriptors: Testing, Achievement Tests, Test Items, Test Bias
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Lahner, Felicitas-Maria; Lörwald, Andrea Carolin; Bauer, Daniel; Nouns, Zineb Miriam; Krebs, René; Guttormsen, Sissel; Fischer, Martin R.; Huwendiek, Sören – Advances in Health Sciences Education, 2018
Multiple true-false (MTF) items are a widely used supplement to the commonly used single-best answer (Type A) multiple choice format. However, an optimal scoring algorithm for MTF items has not yet been established, as existing studies yielded conflicting results. Therefore, this study analyzes two questions: What is the optimal scoring algorithm…
Descriptors: Scoring Formulas, Scoring Rubrics, Objective Tests, Multiple Choice Tests
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Ali, Usama S.; Chang, Hua-Hua – ETS Research Report Series, 2014
Adaptive testing is advantageous in that it provides more efficient ability estimates with fewer items than linear testing does. Item-driven adaptive pretesting may also offer similar advantages, and verification of such a hypothesis about item calibration was the main objective of this study. A suitability index (SI) was introduced to adaptively…
Descriptors: Adaptive Testing, Simulation, Pretests Posttests, Test Items
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Dadey, Nathan; Lyons, Susan; DePascale, Charles – Applied Measurement in Education, 2018
Evidence of comparability is generally needed whenever there are variations in the conditions of an assessment administration, including variations introduced by the administration of an assessment on multiple digital devices (e.g., tablet, laptop, desktop). This article is meant to provide a comprehensive examination of issues relevant to the…
Descriptors: Evaluation Methods, Computer Assisted Testing, Educational Technology, Technology Uses in Education
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Oshima, T. C.; Wright, Keith; White, Nick – International Journal of Testing, 2015
Raju, van der Linden, and Fleer (1995) introduced a framework for differential functioning of items and tests (DFIT) for unidimensional dichotomous models. Since then, DFIT has been shown to be a quite versatile framework as it can handle polytomous as well as multidimensional models both at the item and test levels. However, DFIT is still limited…
Descriptors: Test Bias, Item Response Theory, Test Items, Simulation
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Pohl, Steffi – Journal of Educational Measurement, 2013
This article introduces longitudinal multistage testing (lMST), a special form of multistage testing (MST), as a method for adaptive testing in longitudinal large-scale studies. In lMST designs, test forms of different difficulty levels are used, whereas the values on a pretest determine the routing to these test forms. Since lMST allows for…
Descriptors: Adaptive Testing, Longitudinal Studies, Difficulty Level, Comparative Analysis
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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
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Liu, Jinghua; Zu, Jiyun; Curley, Edward; Carey, Jill – ETS Research Report Series, 2014
The purpose of this study is to investigate the impact of discrete anchor items versus passage-based anchor items on observed score equating using empirical data.This study compares an "SAT"® critical reading anchor that contains more discrete items proportionally, compared to the total tests to be equated, to another anchor that…
Descriptors: Equated Scores, Test Items, College Entrance Examinations, Comparative Analysis
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