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Wagner, Richard K.; Herrera, Sarah K.; Spencer, Mercedes; Quinn, Jamie M. – Journal of Learning Disabilities, 2015
Recently, Tunmer and Chapman provided an alternative model of how decoding and listening comprehension affect reading comprehension that challenges the simple view of reading. They questioned the simple view's fundamental assumption that oral language comprehension and decoding make independent contributions to reading comprehension by arguing…
Descriptors: Reading Comprehension, Decoding (Reading), Listening Comprehension, Oral Language
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Jia, Fan; Moore, E. Whitney G.; Kinai, Richard; Crowe, Kelly S.; Schoemann, Alexander M.; Little, Todd D. – International Journal of Behavioral Development, 2014
Utilizing planned missing data (PMD) designs (ex. 3-form surveys) enables researchers to ask participants fewer questions during the data collection process. An important question, however, is just how few participants are needed to effectively employ planned missing data designs in research studies. This article explores this question by using…
Descriptors: Data Analysis, Statistical Inference, Error of Measurement, Computation
Hakstian, A. Ralph; Muller, Victor J. – 1972
The epistemological status of factors--that is, components, common factors, and image factors--is briefly discussed. Implications for the number of factors problem of varying views of factor analysis and the particular factor analytic model employed are noted, and the rationales underlying the best known decision rules regarding the correct number…
Descriptors: Correlation, Factor Analysis, Models, Psychometrics
McDonald, Roderick P.; Mulaik, Stanley A. – 1978
If the factor loadings of a core set of variables (fitting the general factor model) are the same when analyzed alone, and when analyzed along with the rest of the variables in an infinite behavior domain, there is only one factor variable in the domain that is a possible factor variable of the core set. If the condition of consistency of factor…
Descriptors: Cluster Analysis, Correlation, Factor Analysis, Models
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Tuinman, J. Jaap; Blanton, B. Elgit. – Journal of Reading Behavior, 1970
Discusses articles by Richard Rystrom in the Winter and Spring 1970 issues of the Journal of Reading Behavior. Questions the validation procedures and statistical evidence behind the author's model of reading comprehension. Tables and bibliography. (RW)
Descriptors: Factor Analysis, Models, Reading Comprehension, Research Methodology
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Dess, Gregory G.; Beard, Donald W. – Administrative Science Quarterly, 1984
Reducing Aldrich's codification of organizational task environments from six to three dimensions--munificence (capacity), complexity (homogeneity-heterogeneity, concentration-dispersion), and dynamism (stability-instability, turbulence), the authors use interim and factor analytical techniques to explore each dimension's viability and draw…
Descriptors: Factor Analysis, Hypothesis Testing, Models, Organizational Climate
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Greenspan, Stephen; McGrew, Kevin S. – Research in Developmental Disabilities, 1996
This paper responds to a 1992 study in which it was argued that the structure of intelligence in adults with severe mental retardation deviates from Greenspan's model, in which social and practical intelligence form separate factors. Application of confirmatory factor analysis to the original correlation matrix found the Greenspan model to be…
Descriptors: Adaptive Behavior (of Disabled), Adults, Data Interpretation, Factor Analysis
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Mathias, J. L.; And Others – Research in Developmental Disabilities, 1996
This paper discusses inconsistencies in Greenspan and McGrew's argument that confirmatory, rather than exploratory, factor analysis should be utilized in testing Greenspan's model of adaptive intelligence in adults with severe mental retardation. It is argued that problems with the data set should be addressed through further research rather than…
Descriptors: Adaptive Behavior (of Disabled), Adults, Data Interpretation, Factor Analysis
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Schumacker, Randall E. – 1994
A population data set was randomly generated from which a random sample was drawn. This sample was randomly divided into two data sets, one of which was used to generate parameter estimates, which were then used in the second data set for cross-validation purposes. The best variable subset models were compared between the two data sets on the…
Descriptors: Comparative Analysis, Criteria, Estimation (Mathematics), Factor Analysis
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Larson, James R., Jr. – American Educational Research Journal, 1979
Factor analysis is of limited value in investigating the influence of students' implicit theories about teachers' behaviors on student evaluations of teachers. (MH)
Descriptors: Behavior Rating Scales, Factor Analysis, Higher Education, Models