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| Child Development | 3 |
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| Appelbaum, Mark I. | 1 |
| Burchinal, Margaret | 1 |
| Hertzog, Christopher | 1 |
| Romaniuk, Jean G. | 1 |
| Rovine, Michael | 1 |
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| Journal Articles | 2 |
| Guides - Non-Classroom | 1 |
| Opinion Papers | 1 |
| Reports - Research | 1 |
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Peer reviewedRomaniuk, Jean G.; And Others – Child Development, 1977
Caution is advised in utilizing the univariate F test as the initial screening device for hypothesis testing in the analysis of repeated measures data. (JMB)
Descriptors: Hypothesis Testing, Research Methodology, Statistical Analysis
Peer reviewedHertzog, 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
Peer reviewedBurchinal, Margaret; Appelbaum, Mark I. – Child Development, 1991
Quantitative growth curve models for estimating individual developmental functions from various types of longitudinal data are discussed in the context of investigator assumptions and research design characteristics. Linear and nonlinear models that estimate growth curves are illustrated, and contrasted when they are fit to speech development…
Descriptors: Children, Individual Development, Individual Differences, Language Acquisition


