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Dart, Evan H.; Arora, Prerna; Collins, Tai; Stark, Kevin; Cook, Clayton R.; Duong, Mylien T.; McCarty, Carolyn A.; Doll, Beth – Assessment for Effective Intervention, 2020
Frequent formative assessment of students' functioning, or progress monitoring, is a critical component of multi-tiered systems of support as data inform data-driven decisions about response to treatment. Progress monitoring tools for students' academic and behavioral functioning are readily available and widely researched; however, despite the…
Descriptors: Behavior Rating Scales, Progress Monitoring, Depression (Psychology), Emotional Disturbances
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Erford, Bradley T.; Johnson, Erin; Bardoshi, Gerta – Measurement and Evaluation in Counseling and Development, 2016
This meta-analysis reviewed 144 studies from 1996 to 2013 using the Beck Depression Inventory-Second Edition. Internal consistency was 0.89 and test-retest reliability 0.75. Convergent comparisons were robust across 43 depression instruments. Structural validity supported both one- and two-factor solutions and diagnostic accuracy varied according…
Descriptors: Measures (Individuals), Depression (Psychology), Meta Analysis, Reliability
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Nimon, Kim; Henson, Robin K. – Journal of Experimental Education, 2015
The authors empirically examined whether the validity of a residualized dependent variable after covariance adjustment is comparable to that of the original variable of interest. When variance of a dependent variable is removed as a result of one or more covariates, the residual variance may not reflect the same meaning. Using the pretest-posttest…
Descriptors: Statistical Analysis, Construct Validity, Pretesting, Pretests Posttests
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Tanaka, J. S.; Huba, G. J. – Multivariate Behavioral Research, 1987
Two approaches are used to assess the one-month stability of depression affect in college students: (1) a high retest correlation is demonstrated for a latent depressive affect construct using self-reports from the previous month; and (2) predictive validity of depressive categorization is examined using logistic regression techniques. (Author/LMO)
Descriptors: Affective Measures, College Students, Depression (Psychology), Higher Education