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Lauren N. Currie; Robinder P. Bedi; Anita M. Hubley – Measurement and Evaluation in Counseling and Development, 2024
This study evaluated the psychometric properties of the Hope-Action Inventory (HAI) scores with a problematic substance use population (N = 783). The hierarchical seven-factor structure of the HAI fit the data well. Further, the HAI scores had satisfactory internal consistency reliability and good convergent evidence for validity.
Descriptors: Psychometrics, Substance Abuse, Test Validity, Test Reliability
Johnson, David A.; Stone, Ashlyn; Marsh, Sarah – Measurement and Evaluation in Counseling and Development, 2023
We evaluated structural, construct, and concurrent validity evidence for State-Interpersonal Reactivity Index scores among 208 telemental health counselors. Confirmatory factor analysis results supported a three-factor model. Partial correlation analyses yielded evidence for construct and concurrent validity evidence for scores. We discuss…
Descriptors: Validity, Scores, Counselors, Health Services
Runyon, Katie; Barnard-Brak, Lucy; Stevens, Tara; Lan, William – Measurement and Evaluation in Counseling and Development, 2020
The current study evaluated the validity and reliability of the SCARED on a Native American child population. Results suggest excellent internal consistency for the total score. The hierarchical model best fit the data. Overall the SCARED is a valid tool for identifying Native American children at-risk for developing anxiety disorders.
Descriptors: Psychometrics, Measures (Individuals), American Indians, Children
Matte, Melody; Lafontaine, Marie-France – Measurement and Evaluation in Counseling and Development, 2012
The objective of the present study was to provide validity evidence for the scores from the Romantic Relationship Perfectionism Scale. Results indicate a two-factor structure, adequate reliability, and overall good convergent, concurrent, discriminant, and incremental validity evidence. The strengths and limitations of this measure are discussed.…
Descriptors: Validity, Reliability, Factor Structure, Psychometrics