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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
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Erin Johnson; Samantha Barstack; Yikai Xu; Hannah Wise; Bradley T. Erford; Catharina Chang; David Delmonico – Measurement and Evaluation in Counseling and Development, 2025
Problem Statement: Among individuals aged 12 years or older, 14.3% (40.0 million) reporting the use of an illicit drug in the previous year. Given the prevalence of drug abuse, it is increasingly important to determine effective screening practices, treatment procedures, and best practices among various subpopulations to identify drug use-related…
Descriptors: Drug Abuse, Screening Tests, Psychometrics, Synthesis
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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
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Lara Cirnigliaro; Maria Stella Valle; Antonino Casabona; Martina Randazzo; Francesca La Bruna; Fabio Pettinato; Antonio Narzisi; Renata Rizzo; Rita Barone – Journal of Autism and Developmental Disorders, 2025
This study was undertaken to set a novel developmental screening test for autism spectrum disorder (ASD) using the Griffiths Scales of Child Development (Griffith III) (Green et al., 2016; Stroud et al., 2016), in order to intercept the early atypical developmental patterns indicating ASD risk in the first 3 years of age. An observational and…
Descriptors: Autism Spectrum Disorders, Test Construction, Screening Tests, Educational Diagnosis
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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
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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
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Lientje Maas; Matthew J. Madison; Matthieu J. S. Brinkhuis – Grantee Submission, 2024
Diagnostic classification models (DCMs) are psychometric models that yield probabilistic classifications of respondents according to a set of discrete latent variables. The current study examines the recently introduced one-parameter log-linear cognitive diagnosis model (1-PLCDM), which has increased interpretability compared with general DCMs due…
Descriptors: Clinical Diagnosis, Classification, Models, Psychometrics
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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
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Kathleen Lynne Lane; Katie Scarlett Lane Pelton; Nathan Allen Lane; Mark Matthew Buckman; Wendy Peia Oakes; Kandace Fleming; Rebecca E. Swinburne Romine; Emily D. Cantwell – Behavioral Disorders, 2025
We report findings of this replication study, examining the internalizing subscale (SRSS-I4) of the revised version of the Student Risk Screening Scale for Internalizing and Externalizing behavior (SRSS-IE 9) and the internalizing subscale of the Teacher Report Form (TRF). Using the sample from 13 elementary schools across three U.S. states with…
Descriptors: Data Analysis, Decision Making, Data Use, Measures (Individuals)
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Jerin Kim; Kent McIntosh – Journal of Positive Behavior Interventions, 2025
We aimed to identify empirically valid cut scores on the positive behavioral interventions and supports (PBIS) Tiered Fidelity Inventory (TFI) through an expert panel process known as bookmarking. The TFI is a measurement tool to evaluate the fidelity of implementation of PBIS. In the bookmark method, experts reviewed all TFI items and item scores…
Descriptors: Positive Behavior Supports, Cutting Scores, Fidelity, Program Evaluation
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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
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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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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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Gilber Chura-Quispe; Cristina Beatriz Flores-Rosado; Alex Alfredo Valenzuela-Romero; Enlil Iván Herrera-Pérez; Avenilda Eufemia Herrera-Chura; Mercedes Alejandrina Collazos Alarcón – Contemporary Educational Technology, 2025
Information literacy is a fundamental component in the academic development of future professionals. The aim of the study was to evaluate the metric properties of the 'questionnaire of self-perceived information competences', analyzing the factorial structure, internal consistency, convergent validity, factorial invariance according to gender and…
Descriptors: Information Literacy, College Students, Student Attitudes, Foreign Countries
Jack Mountjoy – Blueprint Labs, 2024
This paper studies the causal impacts of public universities on the outcomes of their marginally admitted students. I use administrative admission records spanning all 35 public universities in Texas, which collectively enroll 10 percent of American public university students, to systematically identify and employ decentralized cutoffs in SAT/ACT…
Descriptors: Outcomes of Education, Higher Education, Universities, College Students
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