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Kulikowich, Jonna M.; Edwards, Maeghan N. – Psychology in the Schools, 2007
We look at three common research scenarios, one in the behavioral domain (i.e., disruptive behaviors) one in the cognitive domain (i.e., academic achievement), and one in the affective domain (i.e., anxiety and stress) for which school psychologists are asked to address important questions related to change. We list measurement and statistical…
Descriptors: School Psychology, School Psychologists, Psychological Studies, Individual Characteristics
Prosser, Barbara – 1990
The value of variance is emphasized, and the element of design, frequently not adequately understood, is clarified to underscore the importance of variance to the researcher. Two analytic methods, analysis of variance (ANOVA) and multiple regression, are discussed in terms of how each uses/applies variance. Advantages and major difficulties with…
Descriptors: Analysis of Variance, Data Analysis, Multiple Regression Analysis, Predictor Variables

Gruber, Frederic A. – Journal of Speech, Language, and Hearing Research, 1999
Probable ages of normalization were calculated for 24 children with speech delay, using Kaplan-Meier analysis. Formulas are provided that permit calculation of the likelihood that individual children will normalize by a given age. Analysis revealed two different paths to normalization with children following one of the paths likely to retain…
Descriptors: Articulation (Speech), Articulation Impairments, Child Development, Consonants
Finegold, Lawrence S.; Rogers, Deborah – 1985
This project investigated the relationship between Air Force Officer Qualifying Test (AFOQT) composite scores and student performance in Air Force air weapons controller training. The purpose of this study was to examine the feasibility of using AFOQT scores as one selection criteria for entry to the air weapons controller field. An analysis of…
Descriptors: Academic Achievement, Admission Criteria, Classification, Comparative Analysis

Mead, Arthur C. – Journal of Economic Education, 1998
Describes class exercises where undergraduates construct and test mathematical models using data and issues related to social security. The students collect data and forecast economic and demographic variables that determine future tax rates. They then discuss government policies that are derived from their models. (MJP)
Descriptors: Cost Effectiveness, Data Analysis, Economics, Economics Education