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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
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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
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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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Rusu, Petruta P.; Hilpert, Peter; Turliuc, Maria N.; Bodenmann, Guy – Measurement and Evaluation in Counseling and Development, 2016
This study investigates the psychometric properties of the Romanian version of the Dyadic Coping Inventory with data from 510 married couples. The results confirm the theoretical factorial structure of the Dyadic Coping Inventory for both partners, indicating convergent validity, discriminate validity, and measurement invariance (across genders…
Descriptors: Coping, Psychometrics, Spouses, Factor Structure
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Onwuegbuzie, Anthony J.; Daniel, Larry G. – Measurement and Evaluation in Counseling and Development, 2002
This article provides a framework for reporting internal consistency reliability in counseling research and other related social science fields, including guidelines relative to score reliability coefficients and associated confidence intervals for both full sample and subgroups. Follow-up techniques for investigating low score reliability are…
Descriptors: Error of Measurement, Psychometrics, Reliability, Research Methodology
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Henson, Robin K.; Thompson, Bruce – Measurement and Evaluation in Counseling and Development, 2002
T. Vacha-Haase (1998) proposed her "reliability generalization" methodology to characterize (a) typical score reliability for a measure across studies, (b) the variability of score reliabilities, and (c) what measurement protocol features predict the variability in score reliabilities across administration. The present article provides…
Descriptors: Error of Measurement, Generalization, Psychometrics, Research Methodology
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Charter, Richard A.; Feldt, Leonard S. – Measurement and Evaluation in Counseling and Development, 2002
Presented is a detailed description of two true score confidence interval approaches, their use, interpretation, and a philosophical conflict that arises in many applied instances. (Contains 27 references.) (Author)
Descriptors: Error of Measurement, Psychometrics, Research Methodology, Statistical Analysis
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Onwuegbuzie, Anthony J.; Roberts, J. Kyle; Daniel, Larry G. – Measurement and Evaluation in Counseling and Development, 2005
In this article, the authors (a) illustrate how displaying disattenuated correlation coefficients alongside their unadjusted counterparts will allow researchers to assess the impact of unreliability on bivariate relationships and (b) demonstrate how a proposed new "what if reliability" analysis can complement null hypothesis significance…
Descriptors: Correlation, Statistical Significance, Reliability, Error of Measurement