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Wilhelm, Anne Garrison; Gillespie Rouse, Amy; Jones, Francesca – Practical Assessment, Research & Evaluation, 2018
Although inter-rater reliability is an important aspect of using observational instruments, it has received little theoretical attention. In this article, we offer some guidance for practitioners and consumers of classroom observations so that they can make decisions about inter-rater reliability, both for study design and in the reporting of data…
Descriptors: Interrater Reliability, Measurement, Observation, Educational Research
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Gwet, Kilem L. – Educational and Psychological Measurement, 2016
This article addresses the problem of testing the difference between two correlated agreement coefficients for statistical significance. A number of authors have proposed methods for testing the difference between two correlated kappa coefficients, which require either the use of resampling methods or the use of advanced statistical modeling…
Descriptors: Differences, Correlation, Statistical Significance, Statistical Analysis
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Dirghangi, Shrija; Kahn, Gilly; Laursen, Brett; Brendgen, Mara; Vitaro, Frank; Dionne, Ginette; Boivin, Michel – Developmental Psychology, 2015
This study tested 2 related hypotheses. The first holds that high co-rumination anticipates heightened internalizing problems. The second holds that positive relationships with friends exacerbate the risk for internalizing problems arising from co-rumination. A sample of MZ twins followed from birth (194 girls and 170 boys) completed (a)…
Descriptors: Early Adolescents, Friendship, Peer Influence, Anxiety
Hummel, Thomas J.; Johnston, Charles B. – 1986
This study investigated seven methods for analyzing multivariate group differences. Bonferroni t statistics, multivariate analysis of variance (MANOVA) followed by analysis of variance (ANOVA), and five other methods were studied using Monte Carlo methods. Methods were compared with respect to (1) experimentwise error rate; (2) power; (3) number…
Descriptors: Analysis of Variance, Comparative Analysis, Correlation, Differences