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Reddy, Linda A.; Dudek, Christopher M.; Rualo, Angelique J.; Fabiano, Gregory A. – Educational Assessment, 2016
The present study investigated the concurrent validity of the Classroom Strategies Scale-Teacher Form (CSS-T), a multidimensional teacher formative assessment of instructional and behavioral management practices. The CSS-T is compared with the Classroom Assessment Scoring System (CLASS), a well-known teacher assessment of overall classroom…
Descriptors: Teacher Evaluation, Formative Evaluation, Test Validity, Rating Scales
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Hubert, Lawrence J.; Baker, Frank B. – Multivariate Behavioral Research, 1978
The strategy for investigating convergent and discriminant test validity, known as the multitrait-multimethod matrix, is investigated. A nonparametric significance testing procedure is suggested and demonstrated. (JKS)
Descriptors: Correlation, Hypothesis Testing, Mathematical Models, Matrices
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Harris, Richard J. – Multivariate Behavioral Research, 1976
The partitioned-U procedure is outlined, a fundamental logical flaw in this procedure's avoidance of any direct test of the significance of the first discriminant function or largest coefficient of canonical correlation is pointed out, and two alternatives to the partitioned-U procedure are discussed. (Author/DEP)
Descriptors: Analysis of Variance, Correlation, Hypothesis Testing, Multivariate Analysis
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Hsu, Louis M. – Educational and Psychological Measurement, 1978
The problem of determining the significance level which should be used in statistical tests of item validity in order to minimize type I errors is discussed. (Author/JKS)
Descriptors: Hypothesis Testing, Item Analysis, Power (Statistics), Statistical Significance
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Hertzog, Christopher; Rovine, Michael – Child Development, 1985
Attempts to distill a growing technical literature on repeated-measures analysis of variance into a few simple principles for selecting an analytic technique. Argues that researchers ought not opt for a general analysis strategy when current computer technology makes it possible to select the optimal analysis technique for a given data set. (RH)
Descriptors: Analysis of Variance, Computer Software, Developmental Psychology, Hypothesis Testing
Shaver, James P. – 1992
A test of statistical significance is a procedure for determining how likely a result is assuming a null hypothesis to be true with randomization and a sample of size n (the given size in the study). Randomization, which refers to random sampling and random assignment, is important because it ensures the independence of observations, but it does…
Descriptors: Educational Research, Evaluation Problems, Hypothesis Testing, Probability
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Rezmovic, Eva Lantos; Rezmovic, Victor – Educational and Psychological Measurement, 1981
A multitrait-multimethod matrix containing two methods of measuring 12 personality traits was analyzed and confirmatory factor analysis was applied to the data. Although unexplained variance remained, method factors and a general personality factor significantly improved the fit of a model containing only trait factors. (Author/RL)
Descriptors: Factor Analysis, Goodness of Fit, Hypothesis Testing, Mathematical Models
Samph, Thomas; Sayles, Felton – 1974
The intent of this investigation was to perform a validation study to determine whether RACE (Racial Attitude and Cultural Expression test) differentiates between primary grade students identified as having negative and positive attitudes. Students were categorized by a combination of administrator, teacher and clinical assessment into a negative…
Descriptors: Attitude Measures, Black Youth, Elementary Education, Elementary School Students
Koohang, Alex A. – 1984
The purpose of this study was to investigate the effectiveness of computer-aided instruction as compared with the traditional lecture method of cognitive learning of new curriculum materials. It was hypothesized that students instructed by the computer-aided instruction method would gain higher knowledge of the subject matter in terms of cognitive…
Descriptors: Comparative Analysis, Computer Assisted Instruction, Correlation, High School Students