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Sorgente, Angela; Tagliabue, Semira; Andrade, Claudia; Oliveira, José Egidio; Duan, Wenjie; Lanz, Margherita – Measurement and Evaluation in Counseling and Development, 2021
This study tested factorial structure, reliability as well as gender, age, and cultural measurement invariance of the Brief Inventory of Thriving (BIT). Data were collected from 981 Italian, Portuguese, and Chinese emerging adults. Results showed that BIT scores were reliable, mono-dimensional, and suitable to assess thriving across different…
Descriptors: Gender Differences, Age Differences, Cultural Differences, Error of Measurement
Sherman, Martin F.; Sriken, Julie; Erford, Bradley T.; Smith, Heather L.; MacInerney, Erin; Niarhos, Frances; Kipper-Smith, Adriana – Measurement and Evaluation in Counseling and Development, 2021
Analysis of CCAPS-34 scores on a large (n = 4,852) university counseling center student sample supported internal consistency ([alpha] = 0.803-0.896), one-month test-retest reliability (r[subscript tt] = 0.706-0.829), convergent and divergent validity, and good model fit. Measurement invariance of scores for all categories of race and student…
Descriptors: Psychometrics, Counseling Services, Symptoms (Individual Disorders), Factor Analysis
Huynh, Kiet D.; Sheridan, Daniel J.; Lee, Debbiesiu L. – Measurement and Evaluation in Counseling and Development, 2020
The original and revised versions of the Internalized Homophobia Scale (IHP) were examined for gender invariance. The revised version was found to have a better fit, and passed the test of configural, metric, and scalar invariance. The revised version is recommended as a brief measure of internalized heterosexism.
Descriptors: LGBTQ People, Homosexuality, Social Bias, Gender Differences
Lenz, A. Stephen; Li, Chi – Measurement and Evaluation in Counseling and Development, 2022
The factor structure, measurement invariance, and internal consistency of the Patient Health Questionnaire for Depression and Anxiety (PHQ-4) was examined with a rural, predominately Hispanic sample (N = 711). Findings supported use of a one-factor model across gender, age groups, and Spanish-speaking groups. Counseling practice and research…
Descriptors: Psychometrics, Error of Measurement, Patients, Questionnaires
Strunk, Kamden K.; Lane, Forrest C. – Measurement and Evaluation in Counseling and Development, 2017
A common concern about the Beck Depression Inventory, Second edition (BDI-II) among researchers in the area of depression has long been the single-factor scoring scheme. Methods exist for making cross-sample comparisons of latent structure but tend to rely on estimation methods that can be imprecise and unnecessarily complex. This study presents a…
Descriptors: Depression (Psychology), Measures (Individuals), Error of Measurement, Diagnostic Tests
Willse, John T. – Measurement and Evaluation in Counseling and Development, 2017
This article provides a brief introduction to the Rasch model. Motivation for using Rasch analyses is provided. Important Rasch model concepts and key aspects of result interpretation are introduced, with major points reinforced using a simulation demonstration. Concrete guidelines are provided regarding sample size and the evaluation of items.
Descriptors: Item Response Theory, Test Results, Test Interpretation, Simulation
Bardhoshi, Gerta; Erford, Bradley T. – Measurement and Evaluation in Counseling and Development, 2017
Precision is a key facet of test development, with score reliability determined primarily according to the types of error one wants to approximate and demonstrate. This article identifies and discusses several primary forms of reliability estimation: internal consistency (i.e., split-half, KR-20, a), test-retest, alternate forms, interscorer, and…
Descriptors: Scores, Test Reliability, Accuracy, Pretests Posttests
Balkin, Richard S. – Measurement and Evaluation in Counseling and Development, 2017
An overview of standards related to demonstrating evidence regarding relationships with criteria as it pertains to instrument development was presented, along with heuristic examples. Additional measures and a comprehensive design are necessary to establish evidence related to the use and interpretation of test scores for the validation of a…
Descriptors: Evidence, Academic Standards, Test Construction, Evaluation Criteria

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