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Michael T. Kalkbrenner – Measurement and Evaluation in Counseling and Development, 2024
The purpose of this instructional piece was to provide a nontechnical synthesis of common internal consistency reliability estimates used in professional counseling and in related fields. The article begins with an overview of coefficients alpha, omega, omega hierarchical, and H, with guidelines for their selection. Next, I provide recommendations…
Descriptors: Reliability, Counseling, Cutting Scores, High Stakes Tests
Feldberg, Zachary R. – ProQuest LLC, 2023
Cognitive diagnostic models (CDMs) provide pedagogically relevant information in the form of a student profile of multiple binary categorizations of students into mastery or nonmastery statuses on latent traits called attributes. Federal educational accountability requires accountability measures to designate students into one of at least three…
Descriptors: Accountability, Standards, Cutting Scores, Models
Matt Homer – Advances in Health Sciences Education, 2024
Quantitative measures of systematic differences in OSCE scoring across examiners (often termed examiner stringency) can threaten the validity of examination outcomes. Such effects are usually conceptualised and operationalised based solely on checklist/domain scores in a station, and global grades are not often used in this type of analysis. In…
Descriptors: Examiners, Scoring, Validity, Cutting Scores
Storie, Michelle S.; Joseph, Laurice M.; Gillespie, Theresa; McDougal, James – Psychology in the Schools, 2024
The use of brief dyslexia rating scales is increasing given current dyslexia legislation efforts across the United States. The purpose of this article is to provide an overview of the historical context of the use of brief dyslexia rating scales, strengths, and limitations of using these measures, criteria for selecting these measures, and a…
Descriptors: Dyslexia, Rating Scales, Screening Tests, At Risk Students
Ashley A. Edwards; Wilhelmina van Dijk; Christine M. White; Christopher Schatschneider – Grantee Submission, 2022
Given the recent push for universal screening, it is important to take into account how well a screener identifies children at risk for reading problems as well as how screener and sample information contribute to this classification. Picking the best cut-point for a particular sample and screening goal can be challenging given that test manuals…
Descriptors: Screening Tests, Measures (Individuals), Reading Difficulties, Cutting Scores
Ashley A. Edwards; Wilhelmina van Dijk; Christine M. White; Christopher Schatschneider – Annals of Dyslexia, 2022
Given the recent push for universal screening, it is important to take into account how well a screener identifies children at risk for reading problems as well as how screener and sample information contribute to this classification. Picking the best cut-point for a particular sample and screening goal can be challenging given that test manuals…
Descriptors: Screening Tests, Measures (Individuals), Reading Difficulties, Cutting Scores
Daniel McNeish; Patrick D. Manapat – Structural Equation Modeling: A Multidisciplinary Journal, 2024
A recent review found that 11% of published factor models are hierarchical models with second-order factors. However, dedicated recommendations for evaluating hierarchical model fit have yet to emerge. Traditional benchmarks like RMSEA <0.06 or CFI >0.95 are often consulted, but they were never intended to generalize to hierarchical models.…
Descriptors: Factor Analysis, Goodness of Fit, Hierarchical Linear Modeling, Benchmarking
Aimel Zafar; Manzoor Khan; Muhammad Yousaf – Measurement: Interdisciplinary Research and Perspectives, 2024
Subjects with initially extreme observations upon remeasurement are found closer to the population mean. This tendency of observations toward the mean is called regression to the mean (RTM) and can make natural variation in repeated data look like real change. Studies, where subjects are selected on a baseline criterion, should be guarded against…
Descriptors: Measurement, Regression (Statistics), Statistical Distributions, Intervention
Bianchim, Mayara S.; McNarry, Melitta A.; Evans, Rachel; Thia, Lena; Barker, Alan R.; Williams, Craig A.; Denford, Sarah; Mackintosh, Kelly A – Measurement in Physical Education and Exercise Science, 2023
Commonly used cut-points may misclassify physical activity (PA) in people with cystic fibrosis (CF). The aim of this study was to develop and cross-validate condition-specific cut-points in children and adolescents with CF. Thirty-five children and adolescents with CF (15 girls; 11.6 ± 2.8 years) and 28 controls (16 girls; 12.2 ± 2.7 years), had…
Descriptors: Genetic Disorders, Children, Early Adolescents, Physical Activity Level
Abdolvahab Khademi; Craig S. Wells; Maria Elena Oliveri; Ester Villalonga-Olives – SAGE Open, 2023
The most common effect size when using a multiple-group confirmatory factor analysis approach to measurement invariance is [delta]CFI and [delta]TLI with a cutoff value of 0.01. However, this recommended cutoff value may not be ubiquitously appropriate and may be of limited application for some tests (e.g., measures using dichotomous items or…
Descriptors: Factor Analysis, Factor Structure, Error of Measurement, Test Items
Kroc, Edward; Olvera Astivia, Oscar L. – Educational and Psychological Measurement, 2022
Setting cutoff scores is one of the most common practices when using scales to aid in classification purposes. This process is usually done univariately where each optimal cutoff value is decided sequentially, subscale by subscale. While it is widely known that this process necessarily reduces the probability of "passing" such a test,…
Descriptors: Multivariate Analysis, Cutting Scores, Classification, Measurement
Lee, Chansoon – Educational Measurement: Issues and Practice, 2022
Appropriate placement into courses at postsecondary institutions is critical for the success of students in terms of retention and graduation rates. To reduce the number of students who are misplaced, using multiple measures in placing students is encouraged. However, in practice most postsecondary schools utilize only a few measures to determine…
Descriptors: Classification, Models, Student Placement, College Students
Alireza Akbari; Mohsen Shahrokhi – Quality Assurance in Education: An International Perspective, 2024
Purpose: The purpose of this research is to address the need for a robust system to accurately determine a cutoff score by using the Angoff method and leveraging the Rasch infit and outfit statistics of item response theory by detecting and removing misfitting items in a test. Design/methodology/approach: Researchers in educational evaluation…
Descriptors: Grades (Scholastic), Grading, Evaluation Criteria, Cutting Scores
Peabody, Michael R.; Muckle, Timothy J.; Meng, Yu – Educational Measurement: Issues and Practice, 2023
The subjective aspect of standard-setting is often criticized, yet data-driven standard-setting methods are rarely applied. Therefore, we applied a mixture Rasch model approach to setting performance standards across several testing programs of various sizes and compared the results to existing passing standards derived from traditional…
Descriptors: Item Response Theory, Standard Setting, Testing, Sampling
Kapsner-Smith, Mara R.; Díaz-Cádiz, Manuel E.; Vojtech, Jennifer M.; Buckley, Daniel P.; Mehta, Daryush D.; Hillman, Robert E.; Tracy, Lauren F.; Noordzij, J. Pieter; Eadie, Tanya L.; Stepp, Cara E. – Journal of Speech, Language, and Hearing Research, 2022
Purpose: This study examined the discriminative ability of acoustic indices of vocal hyperfunction combining smoothed cepstral peak prominence (CPPS) and relative fundamental frequency (RFF). Method: Demographic, CPPS, and RFF parameters were entered into logistic regression models trained on two 1:1 case-control groups: individuals with and…
Descriptors: Voice Disorders, Acoustics, Clinical Diagnosis, Cutting Scores

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