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Kim, Rae Yeong; Yoo, Yun Joo – Journal of Educational Measurement, 2023
In cognitive diagnostic models (CDMs), a set of fine-grained attributes is required to characterize complex problem solving and provide detailed diagnostic information about an examinee. However, it is challenging to ensure reliable estimation and control computational complexity when The test aims to identify the examinee's attribute profile in a…
Descriptors: Models, Diagnostic Tests, Adaptive Testing, Accuracy
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Porter, Cody Normitta; Taylor, Rachel; Harvey, Adam Charles – Applied Cognitive Psychology, 2022
This study investigates the Asymmetric Information Management (AIM) technique's ability to detect fraudulent insurance claims submitted online. The AIM instructions inform claimants that, inter alia, more detailed statements are easier to accurately classify as genuine or fabricated. To test this, truth tellers (n = 55) provided an honest…
Descriptors: Information Management, Identification, Deception, Insurance
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Duh, Shinchieh; Goldman, Elizabeth J.; Wang, Su-hua – Journal of Cognition and Development, 2023
The present research examined whether U.S. infants can recognize in others a pattern of helping or hindering after watching such behaviors across multiple scenarios. Infants at 17 months watched three familiarization events in which a person (recipient) failed to achieve various goals and another person (actor) always helped or hindered the…
Descriptors: Infants, Intention, Prediction, Helping Relationship
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Balfe, Catherine; Button, Patrick; Penn, Mary; Schwegman, David J. – Field Methods, 2023
Audit correspondence studies are field experiments that test for discriminatory behavior in active markets. Researchers measure discrimination by comparing how responsive individuals ("audited units") are to correspondences from different types of people. This article elaborates on the tradeoffs researchers face between sending audited…
Descriptors: Field Studies, Experiments, Audits (Verification), Researchers
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Avcu, Akif – Journal of Theoretical Educational Science, 2022
When performing regression analysis, one way to examine the normality of data is to screen outliers. Outliers, on the other hand, do not always have an effect on regression results. In reality, cases with a large amount of residuals that affect regression analysis results are referred to as influential cases. It is important to detect them in the…
Descriptors: Regression (Statistics), Factor Analysis, Factor Structure, Mathematics
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Cum, Sait – International Journal of Assessment Tools in Education, 2021
In this study, it was claimed that ROC analysis, which is used to determine to what extent medical diagnosis tests can be differentiated between patients and non-patients, can also be used to examine the discrimination of binary scored items in cognitive tests. In order to obtain various evidence for this claim, the 2x2 contingency table used in…
Descriptors: Test Items, Item Analysis, Discriminant Analysis, Item Response Theory
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Cuhadar, Ismail – Measurement: Interdisciplinary Research and Perspectives, 2022
In practice, some test items may display misfit at the upper-asymptote of item characteristic curve due to distraction, anxiety, or carelessness by the test takers (i.e., the slipping effect). The conventional item response theory (IRT) models do not take the slipping effect into consideration, which may violate the model fit assumption in IRT.…
Descriptors: Sample Size, Item Response Theory, Test Items, Mathematical Models
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Budak, Zeynep; Isikhan, Selen Yilmaz; Batuk, Merve Ozbal – Language, Speech, and Hearing Services in Schools, 2023
Purpose: The aim of this study was to translate the versions of the Hearing Environments and Reflection on Quality of Life (HEAR-QL) into Turkish and investigate the validity and reliability of the Turkish 26-item HEAR-QL (HEAR-QL-26) for children and Turkish 28-item HEAR-QL (HEAR-QL-28) for adolescents. Method: The protocol included translation…
Descriptors: Children, Adolescents, Hearing Impairments, Control Groups
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Yu, Qiaona – Applied Linguistics, 2021
Language complexity reveals the ability to use a wide and varied range of sophisticated structures and vocabulary. Although different languages compose complexity differently, complexity measures such as the T-unit have typically been based on clause subordination, which may underrepresent complexity and threaten the validity of studies. This…
Descriptors: Chinese, Difficulty Level, Syntax, Language Proficiency
Ben Stenhaug; Ben Domingue – Grantee Submission, 2022
The fit of an item response model is typically conceptualized as whether a given model could have generated the data. We advocate for an alternative view of fit, "predictive fit", based on the model's ability to predict new data. We derive two predictive fit metrics for item response models that assess how well an estimated item response…
Descriptors: Goodness of Fit, Item Response Theory, Prediction, Models
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Capriola-Hall, Nicole N.; McFayden, Tyler; Ollendick, Thomas H.; White, Susan W. – Journal of Autism and Developmental Disorders, 2021
Social anxiety disorder (SAD) is commonly comorbid with autism spectrum disorder (ASD). Here, in a sample of 86 children and adolescents (M[subscript AGE] = 12.62 years; 68.6% male), 28 of whom were diagnosed with ASD, 34 with SAD, and 24 with comorbid ASD and SAD, we compared parent-reported scores from the Social Responsiveness Scale-Second…
Descriptors: Interpersonal Competence, Anxiety Disorders, Autism, Pervasive Developmental Disorders
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Yousuf, Mustafa S.; Miles, Katherine; Harvey, Heather; Al-Tamimi, Mohammad; Badran, Darwish – Journal of University Teaching and Learning Practice, 2022
Exams should be valid, reliable, and discriminative. Multiple informative methods are used for exam analysis. Displaying analysis results numerically, however, may not be easily comprehended. Using graphical analysis tools could be better for the perception of analysis results. Two such methods were employed: standardized x-bar control charts with…
Descriptors: Multiple Choice Tests, Testing, Test Reliability, Test Validity
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DeCarlo, Lawrence T. – Journal of Educational Measurement, 2023
A conceptualization of multiple-choice exams in terms of signal detection theory (SDT) leads to simple measures of item difficulty and item discrimination that are closely related to, but also distinct from, those used in classical item analysis (CIA). The theory defines a "true split," depending on whether or not examinees know an item,…
Descriptors: Multiple Choice Tests, Test Items, Item Analysis, Test Wiseness
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Yao, Lili; Haberman, Shelby; McCaffrey, Daniel F.; Lockwood, J. R. – ETS Research Report Series, 2020
Minimum discriminant information adjustment (MDIA), an approach to weighting samples to conform to known population information, provides a generalization of raking and poststratification. In the case of simple random sampling with replacement with uniform sampling weights, large-sample properties are available for MDIA estimates of population…
Descriptors: Discriminant Analysis, Sampling, Sample Size, Scores
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El Kadiri Boutchich, Driss – Journal of Education, 2019
The alternative human capital evaluation method proposed is implemented via two methods: principal component analysis and discriminant analysis. The first method classifies the research laboratory activities in homogeneous clusters, while the second method standardizes their scores. The proposed method is sitting in the activity-based management…
Descriptors: Human Capital, Evaluation Methods, Laboratories, Factor Analysis
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