Descriptor
| Computer Programs | 6 |
| Correlation | 4 |
| Factor Analysis | 4 |
| Multiple Regression Analysis | 4 |
| Test Reliability | 3 |
| Analysis of Covariance | 2 |
| Item Analysis | 2 |
| Least Squares Statistics | 2 |
| Matrices | 2 |
| Predictive Validity | 2 |
| More ▼ | |
Source
| Educational and Psychological… | 12 |
Author
| Morris, John D. | 12 |
| Chew, Alex L. | 2 |
| Guertin, Wilson H. | 1 |
| Huberty, Carl J. | 1 |
Publication Type
| Journal Articles | 8 |
| Reports - Research | 6 |
| Reports - Descriptive | 2 |
Education Level
Audience
Showing all 12 results
Peer reviewedMorris, John D. – Educational and Psychological Measurement, 1979
Several advantages to the use of different kinds of factor scores as independent variables in a multiple regression equation are reported. A computer program is presented which will calculate a regression equation using a variety of factor scores. (Author/JKS)
Descriptors: Computer Programs, Factor Analysis, Multiple Regression Analysis, Program Descriptions
Peer reviewedMorris, John D. – Educational and Psychological Measurement, 1978
Three algorithms for selecting a subset of originally available items, to maximize coefficient alpha, were compared on the size of the resulting alpha and computation time required with nine sets of data. The characteristics of a computer program to perform these item analyses are described. (Author/JKS)
Descriptors: Comparative Analysis, Computer Programs, Item Analysis, Measurement Techniques
Peer reviewedMorris, John D. – Educational and Psychological Measurement, 1976
A Fortran IV computer program is presented which will unambiguously partition the explained variance of a dependent variable into those parts due uniquely to each independent variable and to all possible combinations of independent variables through commonality analysis. Tests of significance and documentation are provided. (Author/JKS)
Descriptors: Computer Programs, Multiple Regression Analysis
Peer reviewedMorris, John D.; Guertin, Wilson H. – Educational and Psychological Measurement, 1976
A Fortran IV program is presented which will cross-correlate least squares estimated factor scores across separately factor analyzed variable domains without the tedious necessity of actually calculating the factor scores. (RC)
Descriptors: Computer Programs, Correlation, Factor Analysis, Scores
Peer reviewedMorris, John D. – Educational and Psychological Measurement, 1975
A Computer program written in FORTRAN IV is presented which will create a population of desired size with marginally normal score vectors manifesting any desired centroid and covariance matrix. Uses and documentation are provided. (Author)
Descriptors: Analysis of Covariance, Computer Programs, Correlation, Data Analysis
Peer reviewedMorris, John D. – Educational and Psychological Measurement, 1986
Although methods for using ordinary least squares regression computer programs to calculate a ridge regression are available, the calculation of a stepwise ridge regression requires a special purpose algorithm and computer program. The correct stepwise ridge regression procedure is given, and a parallel FORTRAN computer program is described.…
Descriptors: Computer Software, Least Squares Statistics, Regression (Statistics)
Peer reviewedMorris, John D. – Educational and Psychological Measurement, 1986
An empirical method (PRESS) for examining and contrasting the cross-validated prediction accuracies of some popular algorithms for weighting predictor variables was advanced and examined. The sample specific PRESS method was suggested as most appropriate when selecting among several alternative weighting algorithms to achieve maximum…
Descriptors: Algorithms, Least Squares Statistics, Predictive Measurement, Predictive Validity
Peer reviewedHuberty, Carl J.; Morris, John D. – Educational and Psychological Measurement, 1988
The multitude of procedures for testing hypotheses about mean contrasts often presented in statistical methods textbooks is unwarranted. This article demonstrates that nearly all such research can be handled by a single contrast test statistic often attributed to R. A. Fisher. (TJH)
Descriptors: Analysis of Variance, Multiple Regression Analysis, Probability
Peer reviewedChew, Alex L.; Morris, John D. – Educational and Psychological Measurement, 1984
The validity of the Lollipop Test: A Diagnostic Screening Test of School Readiness was examined using the Metropolitan Readiness Test (MRT), Level I, Form Q, as the criterion. Appreciable concurrent validity was found across test batteries. Implications for school readiness screening are discussed. (Author/BS)
Descriptors: Correlation, Individual Testing, Kindergarten Children, Multivariate Analysis
Peer reviewedChew, Alex L.; Morris, John D. – Educational and Psychological Measurement, 1987
The validity of the Lollipop Test: A Diagnostic Screening Test of School Readiness was examined for 129 pre-kindergarten subjects using the Developmental Indicator for the Assessment of Learning as the criterion. Concurrent validity was demonstrated across the test batteries. The Lollipop Test appears to be an attractive alternative…
Descriptors: Comparative Testing, Concurrent Validity, Kindergarten, Preschool Children
Peer reviewedMorris, John D. – Educational and Psychological Measurement, 1979
A computer program which creates and stores a cumulative item covariance matrix upon each administration of an instrument is described. Use of this program would facilitate keeping a constant log on reliability in situations in which the test is administered to different groups over a period of time. (Author/JKS)
Descriptors: Analysis of Covariance, Computer Programs, Correlation, Item Analysis
Peer reviewedMorris, John D. – Educational and Psychological Measurement, 1980
This study compared double cross-validation replication predictive accuracies of six types of factor scores with full-rank data by utilizing data in which classroom achievement was predicted from affective and cognitive variables. Prediction was significantly more accurate for factor scores than for full-rank data. (Author/CP)
Descriptors: Affective Measures, Cognitive Tests, Factor Analysis, Factor Structure


