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Dimitrov, Dimiter M. – Educational and Psychological Measurement, 2022
Proposed is a new method of standard setting referred to as response vector for mastery (RVM) method. Under the RVM method, the task of panelists that participate in the standard setting process does not involve conceptualization of a borderline examinee and probability judgments as it is the case with the Angoff and bookmark methods. Also, the…
Descriptors: Standard Setting (Scoring), Cutting Scores, Computation, Mastery Learning
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Frömke, Cornelia; Kirstein, Mathia; Zapf, Antonia – Research Synthesis Methods, 2022
The accuracy of a diagnostic test is often expressed using a pair of measures: sensitivity (proportion of test positives among all individuals with target condition) and specificity (proportion of test negatives among all individuals without target condition). If the outcome of a diagnostic test is binary, results from different studies can easily…
Descriptors: Accuracy, Diagnostic Tests, Meta Analysis, Statistical Analysis
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Ucar, Arzu; Dogan, Celal Deha – International Journal of Assessment Tools in Education, 2021
Distance learning has become a popular phenomenon across the world during the COVID-19 pandemic. This led to answer copying behavior among individuals. The cut point of the Kullback-Leibler Divergence (KL) method, one of the copy detecting methods, was calculated using the Youden Index, Cost-Benefit, and Min Score p-value approaches. Using the cut…
Descriptors: Cheating, Identification, Cutting Scores, Statistical Analysis
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André Pereira Gonçalves; Lucas de Francisco Carvalho – International Journal of Testing, 2024
We aimed to verify the capacity of the Dimensional Clinical Personality Inventory 2 (IDCP-2) factors to identify people with high levels of dependent personality disorder (DPD) traits in a Brazilian sample extracted from the general population. Participants were 1469 adults who responded to factors from the IDCP-2, the Personality Inventory for…
Descriptors: Mental Disorders, Screening Tests, Personality Measures, Foreign Countries
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Daniel McNeish; Melissa G. Wolf – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Despite the popularity of traditional fit index cutoffs like RMSEA [less than or equal to] 0.06 and CFI [greater than or equal to] 0.95, several studies have noted issues with overgeneralizing traditional cutoffs. Computational methods have been proposed to avoid overgeneralization by deriving cutoffs specifically tailored to the characteristics…
Descriptors: Structural Equation Models, Cutting Scores, Generalizability Theory, Error of Measurement
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Metsämuuronen, Jari – Practical Assessment, Research & Evaluation, 2022
This article discusses visual techniques for detecting test items that would be optimal to be selected to the final compilation on the one hand and, on the other hand, to out-select those items that would lower the quality of the compilation. Some classic visual tools are discussed, first, in a practical manner in diagnosing the logical,…
Descriptors: Test Items, Item Analysis, Item Response Theory, Cutting Scores
Adam J. Reeger – ProQuest LLC, 2022
Student growth percentiles (SGPs) have become a common means to measure and report on student academic growth for state education accountability, and some states have adopted SGP cutscores as a means of classifying student growth into categories like "high/medium/low" growth. It has therefore become important to understand properties of…
Descriptors: Academic Achievement, Achievement Gains, Accountability, Regression (Statistics)
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Lewis, Jennifer; Lim, Hwanggyu; Padellaro, Frank; Sireci, Stephen G.; Zenisky, April L. – Educational Measurement: Issues and Practice, 2022
Setting cut scores on (MSTs) is difficult, particularly when the test spans several grade levels, and the selection of items from MST panels must reflect the operational test specifications. In this study, we describe, illustrate, and evaluate three methods for mapping panelists' Angoff ratings into cut scores on the scale underlying an MST. The…
Descriptors: Cutting Scores, Adaptive Testing, Test Items, Item Analysis
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Baldwin, Peter – Educational Measurement: Issues and Practice, 2021
In the Bookmark standard-setting procedure, panelists are instructed to consider what examinees know rather than what they might attain by guessing; however, because examinees sometimes do guess, the procedure includes a correction for guessing. Like other corrections for guessing, the Bookmark's correction assumes that examinees either know the…
Descriptors: Guessing (Tests), Student Evaluation, Evaluation Methods, Standard Setting (Scoring)
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Bing-Canar, Hanaan; Phillips, Matthew S.; Shields, Allison N.; Ogram Buckley, Caitlin M.; Chang, Fini; Khan, Humza; Skymba, Haley V.; Ovsiew, Gabriel P.; Resch, Zachary J.; Jennette, Kyle J.; Soble, Jason R. – Journal of Psychoeducational Assessment, 2022
This study investigated the utility of four WAIS-IV Digit Span (DS) indices (traditional Reliable Digit Span [RDS], RDS-Working Memory [RDS-WM], RDS-Revised [RDS-R], and DS Age-Corrected Scaled Score [ACSS]) as embedded performance validity tests (PVTs) among a sample of 342 consecutive adults referred for neuropsychological evaluation of ADHD.…
Descriptors: Test Validity, Adults, Intelligence Tests, Attention Deficit Hyperactivity Disorder
Ning Jiang – ProQuest LLC, 2022
The purpose of this study is to evaluate the performance of three commonly used model fit indices when measurement invariance is tested in the context of multiple-group CFA analysis with categorical-ordered data. As applied researchers are increasingly aware of the importance of testing measurement invariance, as well as Likert-type scales are…
Descriptors: Goodness of Fit, Factor Analysis, Data, Monte Carlo Methods
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Fangxing Bai; Benjamin Kelcey; Yanli Xie; Kyle Cox – Society for Research on Educational Effectiveness, 2022
Background: Regression Discontinuous Design (RDD) is widely used in educational studies. Through RDD, researchers can obtain unbiased results when Randomized Experimental Design (RED) is inaccessible. Compared to RED, the RDD only requires a cut score variable (continuous) and a cutoff value to assign students to the treatment or control groups.…
Descriptors: Research Design, Regression (Statistics), Hierarchical Linear Modeling, Mediation Theory
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Courtenay A. Barrett; Lindy J. Johnson; Adrea J. Truckenmiller; Amanda M. VanDerHeyden – Remedial and Special Education, 2024
U.S. elementary schools administer reading screeners to identify students in need of remedial instruction. However, the administration of additional assessments comes with a cost. It is unclear the extent to which multiple types of reading screeners warrant the increase in resources that could be used for instruction. This study compared…
Descriptors: Elementary School Students, Grade 3, Costs, Accuracy
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Huaijin Xu; Weimo Zhu; Xiong Qin; Zezhao Chen; Xiaotian Gao – Measurement in Physical Education and Exercise Science, 2024
Using the 2017-2018 National Health and Nutrition Examination Survey (weighted population size = 35,460,209; 8-18 years old; 52.1% males), we compared the obesity prevalence in children and adolescents between body mass index-based (BMI-based) and total percent body fat-based (BF%-based, measured by the dual-energy x-ray absorptiometry) cutoffs.…
Descriptors: Obesity, Child Health, Incidence, Body Composition
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Thayer, Andrew J.; Weeks, Mollie R.; Cook, Clayton R. – Psychology in the Schools, 2021
The dual-factor model (DFM) of mental health affords educators an expanded view of student social-emotional and behavioral functioning and may help identify students in need of school-based mental health services who would otherwise go unnoticed with traditional screening methods. With a focus on integrating subjective well-being into the…
Descriptors: Mental Health, Models, Well Being, Positive Behavior Supports
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