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Robey, Randall R.; Barcikowski, Robert S. – 1989
In analyzing exploratory repeated measures data with more than two measures, two competing tests must be administered simultaneously if one is to make an efficient and effective decision regarding the tenability of the null hypothesis of no differences among measurement means. Obviously, such a procedure is not without a cost vis-a-vis Type I…
Descriptors: Algorithms, Computer Simulation, Error of Measurement, Hypothesis Testing

Borg, Ingiver; Lingoes, James C. – Psychometrika, 1980
A method for externally constraining certain distances in multidimensional scaling configurations is introduced and illustrated. The method is described in detail and several examples are presented. (Author/JKS)
Descriptors: Algorithms, Hypothesis Testing, Mathematical Models, Multidimensional Scaling

Wolfle, Lee M.; Ethington, Corinna A. – 1984
In his early exposition of path analysis, Duncan (1966) noted that the method "provides a calculus for indirect effects." Despite the interest in indirect causal effects, most users treat them as if they are population parameters and do not test whether they are statistically significant. Sobel (1982) has recently derived the asymptotic…
Descriptors: Algorithms, Computer Software, Hypothesis Testing, Path Analysis

Hakstian, A. Ralph; And Others – Multivariate Behavioral Research, 1982
Issues related to the decision of the number of factors to retain in factor analyses are identified. Three widely used decision rules--the Kaiser-Guttman (eigenvalue greater than one), scree, and likelihood ratio tests--are investigated using simulated data. Recommendations for use are made. (Author/JKS)
Descriptors: Algorithms, Data Analysis, Factor Analysis, Factor Structure

Zwick, William R. – Multivariate Behavioral Research, 1982
The performance of four rules for determining the number of components (factors) to retain (Kaiser's eigenvalue greater than one, Cattell's scree, Bartlett's test, and Velicer's Map) was investigated across four systematically varied factors (sample size, number of variables, number of components, and component saturation). (Author/JKS)
Descriptors: Algorithms, Data Analysis, Factor Analysis, Factor Structure

Bertolo, Stefano – Language Acquisition, 1995
Presents a framework for studying the effects of the Maturation Hypothesis on the problem of language learning, parametrically conceived, and offers a method for finding all existing maturational solutions for any parametric hypothesis space and any learning algorithm that differs from Gibson and Wexler's Triggering Learning Algorithm. (27…
Descriptors: Algorithms, Child Language, Computational Linguistics, Data Analysis
Lin, Xia – Proceedings of the ASIS Annual Meeting, 1995
Describes an experiment that was designed to compare three different map displays used as a visual display for information retrieval by either a self-organizing algorithm or human subjects. Results indicate that the organization and visual appearance of map displays had a significant effect on subjects' searching and browsing on the map displays.…
Descriptors: Algorithms, Analysis of Variance, Comparative Analysis, Hypothesis Testing

Scanlan, David A. – Computers in the Schools, 1989
Describes two studies of undergraduates that examined learner and gender preferences for structured flowcharts versus pseudocode in the comprehension of short, complex algorithms. Research dealing with algorithm comprehension and flowcharts is reviewed, hypotheses tested are explained, implications for instructors and instructional materials are…
Descriptors: Algorithms, Comprehension, Computer Science Education, Flow Charts
Hofmann, Rich; Sherman, Larry – 1991
Using data from 135 sixth-, seventh-, and eighth-graders between 11 and 15 years old attending a middle school in a suburban Southwest Ohio school district, two hypothesized models of the factor structures for the Coopersmith Self-Esteem Inventory were tested. One model represents the original Coopersmith factor structure, and the other model is…
Descriptors: Adolescents, Algorithms, Chi Square, Factor Structure
Paulson, James A. – 1986
This paper reports on a project which has developed the general latent class model as a framework for representation of item responses. This framework can be used to represent data in applications such as mastery tests and other kinds of achievement tests, where there is reason to believe that current foundations are deficient. Methods of…
Descriptors: Achievement Tests, Algorithms, Diagnostic Tests, Estimation (Mathematics)

Canino, Casilda; Cicchelli, Terry – Journal of Educational Computing Research, 1988
Describes aptitude treatment interaction study that used the cognitive styles field dependence and independence matched with computerized algorithmic and discovery treatments to determine mathematics achievement on a criterion-referenced test. Posttest mathematics scores and student responses to the computer are analyzed, and mastery learning is…
Descriptors: Algorithms, Analysis of Covariance, Aptitude Treatment Interaction, Computer Assisted Instruction