Eugene S Edgington
Biographic Data
| ID | 1662385 |
|---|---|
| NAME | Eugene S Edgington |
| GIVEN NAMES | Eugene S |
| FAMILY NAME | Edgington |
| SIGNATURE | EDGINGTON E S |
| AFFILIATIONS | University of Calgary |
| VERIFIED | No |
| TOTAL WORKS | 12 |
| TOTAL CITATIONS | 13 |
| WORKS AS AUTHOR | 12 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1960 |
| LATEST PUBLICATION YEAR | 1992 |
| H-INDEX | 3 |
A Randomization Test Computer Program for Trends in Repeated-Measures Data
When parametric trend tests for repeated-measures data are inappropriate because of the untenability of the underlying parametric assumptions, a viable nonparametric alternative is a randomization test. Such a randomization test and a FORTRAN program for implementing it are described in this paper
A Nonparametric Test for Reward Distribution Strategies in the Minimal Group Paradigm
In attempts to simplify and improve the measurement of social orientations in the minimal group paradigm, a number of alternative reward distribution procedures have been developed. (See Bornstein et al. for a review of Taifel's original procedure and other procedures.) This note concerns a nonparametric test for data collected by use of those procedures
Combining Probabilities from Discrete Probability Distributions
The combining of probabilities from separate studies has been discussed frequently in regard to probabilities based on continuous probability distributions. Little has been written, however, regarding the combining of probabilities from discrete distributions, such as probability distributions for nonparametric tests. This paper explains how to combine probabilities when some or all of them are from discrete probability distributions
A Computer Program for Combining Probabilities
Probabilities from separate studies can be combined by relatively simple procedures if they are all from continuous probability distributions. If some or all of the probabilities are from discrete distributions, however, the combining may involve considerable computation. The FORTRAN program described in this paper is a general-purpose program that combines probabilities when (a) all are from continuous distributions, (b) all are from discrete di…
Pattern Analysis of Rod-and-Frame Test Data
Rod-and-frame test performance consists of several analytically separable components. A general method is presented which identifies these components. The method consists of correlating theoretical patterns of scores with obtained test scores of single subjects. A special randomization test was developed for this purpose. The correlation test calculates probability values directly from the test data. In this way fit (p? .05) or best fit (lowest p…
A Computer Program for Pattern Analysis of Rod-and-Frame Tests
Pattern analysis for rod-and-frame tests has been developed to identify a subject's test score patterns in relation to hypothesized patterns. This task can be done by calculating p values as a measure of strength of a relationship between hypothesized patterns and test data. The p values are obtained by means of a special randomization correlation test. A FORTRAN program for this test is briefly described
A new tabulation of statistical procedures used in APA journals
Estimating the Population Mean from a One-Stage Cluster Sample
"The random-sampling assumption in "Comment on component-randomization tests
Statistical inference and nonrandom samples
A Tabulation of Inferential Statistics Used in Psychology Journals
Contradictory conclusions from two speed of performance measures
Contradictory conclusions from two speed of performance measures
A Tabulation of Inferential Statistics Used in Psychology Journals
Statistical inference and nonrandom samples
Estimating the Population Mean from a One-Stage Cluster Sample
"The random-sampling assumption in "Comment on component-randomization tests
A new tabulation of statistical procedures used in APA journals
A Computer Program for Pattern Analysis of Rod-and-Frame Tests
Pattern analysis for rod-and-frame tests has been developed to identify a subject's test score patterns in relation to hypothesized patterns. This task can be done by calculating p values as a measure of strength of a relationship between hypothesized patterns and test data. The p values are obtained by means of a special randomization correlation test. A FORTRAN program for this test is briefly described
A Computer Program for Combining Probabilities
Probabilities from separate studies can be combined by relatively simple procedures if they are all from continuous probability distributions. If some or all of the probabilities are from discrete distributions, however, the combining may involve considerable computation. The FORTRAN program described in this paper is a general-purpose program that combines probabilities when (a) all are from continuous distributions, (b) all are from discrete di…
Pattern Analysis of Rod-and-Frame Test Data
Rod-and-frame test performance consists of several analytically separable components. A general method is presented which identifies these components. The method consists of correlating theoretical patterns of scores with obtained test scores of single subjects. A special randomization test was developed for this purpose. The correlation test calculates probability values directly from the test data. In this way fit (p? .05) or best fit (lowest p…
Combining Probabilities from Discrete Probability Distributions
The combining of probabilities from separate studies has been discussed frequently in regard to probabilities based on continuous probability distributions. Little has been written, however, regarding the combining of probabilities from discrete distributions, such as probability distributions for nonparametric tests. This paper explains how to combine probabilities when some or all of them are from discrete probability distributions
A Nonparametric Test for Reward Distribution Strategies in the Minimal Group Paradigm
In attempts to simplify and improve the measurement of social orientations in the minimal group paradigm, a number of alternative reward distribution procedures have been developed. (See Bornstein et al. for a review of Taifel's original procedure and other procedures.) This note concerns a nonparametric test for data collected by use of those procedures
A Randomization Test Computer Program for Trends in Repeated-Measures Data
When parametric trend tests for repeated-measures data are inappropriate because of the untenability of the underlying parametric assumptions, a viable nonparametric alternative is a randomization test. Such a randomization test and a FORTRAN program for implementing it are described in this paper
Mathematics (12 works) · Statistics (12 works) · Computer Science (7 works) · Psychology (6 works) · Advanced Statistical Methods and Models (4 works) · Econometrics (4 works) · Test (biology) (4 works) · Computer program (3 works) · Fortran (3 works) · Nonparametric statistics (3 works)