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Minke, Amy – 1997
With the advent of the computer and user-friendly statistical software packages, factor analysis has become accessible to most researchers. However, conventional factor analysis, or R-technique, is only useful for research concerning types or groups of variables. Educational and psychological researchers are often interested in types of people,…
Descriptors: Computer Oriented Programs, Computer Software, Factor Analysis, Factor Structure
Peer reviewed Peer reviewed
Borg, Ingwer; Staufenbiel, Thomas – Multivariate Behavioral Research, 1992
The representation of multivariate data by icons is discussed. The factorial sun is suggested as superior to the commonly used snowflake or sun icons and as better representing the values of the different variables and their correlational structure. Two experiments with 60 college students demonstrate the factorial sun's superiority. (SLD)
Descriptors: College Students, Comparative Analysis, Computer Oriented Programs, Correlation
Peer reviewed Peer reviewed
Parker, Kevin C. H.; Atkinson, Leslie – Psychological Assessment, 1994
Procedures recommended in the Wechsler Intelligence Scale for Children (Third Edition) (WISC-III) manual for factorial estimation may be replaced by new methods using the computer and a spreadsheet program. Constants and formulas needed to draft a spreadsheet program for estimating the factors using WISC-III scaled scores are presented. (SLD)
Descriptors: Children, Computer Oriented Programs, Estimation (Mathematics), Factor Analysis
Byrne, Barbara M. – 1994
Working from a common data base and hypothesized model, this paper demonstrates and compares the EQS and LISREL computer program strategies in the analysis of a second-order factor model. Program similarities and differences are noted with respect to: (1) preliminary analyses of the data; (2) treatment of data that are not multivariately normal;…
Descriptors: Adolescents, Comparative Analysis, Computer Oriented Programs, Computer Software
Pennell, Roger – 1971
The problem considered is that of an investigator sampling two or more correlation matrices and desiring to fit a model where a factor pattern matrix is assumed to be identical across samples and we need to estimate only the factor covariance matrix and the unique variance for each sample. A flexible, least squares solution is worked out and…
Descriptors: Analysis of Covariance, Cognitive Tests, Computer Oriented Programs, Correlation
Madaus, George F.; And Others – 1971
Bloom's taxonomy of the cognitive domain consists of six major levels: Knowledge, Comprehension, Application, Analysis, Synthesis, and Evaluation. The purpose of this study is to construct a quantitative causal model for a set of tests designed to operationally define these six levels in order to further explore the validity of the cumulative…
Descriptors: Achievement Tests, Classification, Cognitive Objectives, Cognitive Processes