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Vaske, Jerry J. – Sagamore-Venture, 2019
Data collected from surveys can result in hundreds of variables and thousands of respondents. This implies that time and energy must be devoted to (a) carefully entering the data into a database, (b) running preliminary analyses to identify any problems (e.g., missing data, potential outliers), (c) checking the reliability and validity of the…
Descriptors: Surveys, Theories, Hypothesis Testing, Effect Size
Haudek, Kevin C.; Prevost, Luanna B.; Moscarella, Rosa A.; Merrill, John; Urban-Lurain, Mark – CBE - Life Sciences Education, 2012
Students' writing can provide better insight into their thinking than can multiple-choice questions. However, resource constraints often prevent faculty from using writing assessments in large undergraduate science courses. We investigated the use of computer software to analyze student writing and to uncover student ideas about chemistry in an…
Descriptors: Chemistry, Biology, Introductory Courses, Science Instruction
Strang, Kenneth David – Practical Assessment, Research & Evaluation, 2009
This paper discusses how a seldom-used statistical procedure, recursive regression (RR), can numerically and graphically illustrate data-driven nonlinear relationships and interaction of variables. This routine falls into the family of exploratory techniques, yet a few interesting features make it a valuable compliment to factor analysis and…
Descriptors: Multicultural Education, Computer Software, Multiple Regression Analysis, Multidimensional Scaling
Peer reviewedKoslowsky, Meni – Educational and Psychological Measurement, 1985
The technique of generalizing sample results in a classification study to large subpopulations of unequal sizes was examined. The usual output from the discriminant analysis routine in the Statistical Package for the Social Sciences was extended to handle the present statistical problems. Advantages of the technique were discussed. (Author/DWH)
Descriptors: Classification, Computer Software, Discriminant Analysis, Generalization
Peer reviewedMueller, Ralph O.; Cozad, James B. – Journal of Educational Statistics, 1988
Standardization procedures in discriminant analysis are discussed. Three leading software packages--SPSSX, BMDP, and SAS--are compared in terms of their calculations of unstandardized and standardized discriminant coefficients. Estimation procedures are described for each. Arguments are presented for within-group, rather than total, variance…
Descriptors: Computer Software, Computer Software Reviews, Discriminant Analysis, Estimation (Mathematics)
Peer reviewedBusbey, Arthur Bresnahan III – Journal of Geological Education, 1989
Described is a software package, "Trapeze," within which a routine called LinDis can be used. Discussed are teaching methods, the linear discriminant model and equations, the LinDis worksheet, and an example. The set up for this routine is included. (CW)
Descriptors: Computer Assisted Instruction, Computer Software, Computer Uses in Education, Discriminant Analysis
Peer reviewedFielding, Alan H. – Journal of Biological Education, 1988
Described is a method for discriminant analysis which uses the multiple regression facilities offered by many microcomputer statistical packages. This method is illustrated with an ecological example using the MICROTAB statistical package on a BBC microcomputer. Compares these results with an analysis of the same data using SPSS X. (Author/CW)
Descriptors: Biological Sciences, College Science, Computer Software, Computer Uses in Education
Peer reviewedCohen, Jacob; Lee, Robert S. – Multivariate Behavioral Research, 1987
STATGRAPHICS, a statistical package written for the IBM PC/XT/AT, is reviewed. In addition to superb graphics, STATGRAPHICS is unequalled in time series procedures, quality control, linear programming, and other mathematical procedures. The modules for regression analysis, categorical data analysis, and nonparametric analysis are good, but contain…
Descriptors: Analysis of Variance, Cluster Analysis, Computer Graphics, Computer Software

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