Robert S Barcikowski
Biographic Data
| ID | 8867768 |
|---|---|
| NAME | Robert S Barcikowski |
| GIVEN NAMES | Robert S |
| FAMILY NAME | Barcikowski |
| SIGNATURE | BARCIKOWSKI R S |
| AFFILIATIONS | Ohio University |
| VERIFIED | No |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 10 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1972 |
| LATEST PUBLICATION YEAR | 1984 |
| H-INDEX | 0 |
Calculating the Statistical Power of the Univariate and the Multivariate Repeated Measures Analyses of Variance for the Single Group Case Under Various Conditions
Repeated measures designs find frequent application in behavioral research. Researchers using such designs must choose between the univariate approach and the multivariate approach for a test statistic. The statistical power of these two approaches has been shown to be varyingly different depending upon the structure of the variance-covariance matrix relative to the pattern of mean differences. However, the guidelines for choosing the most powerf…
The Factorial Validity of the Piers-Harris Children's Self Concept Scale for a Sample of Intermediate-Level EMR Students Enrolled in Elementary School
Several factor analytic studies have obtained encouraging but inconclusive evidence for the construct validity of the Piers-Harris Children's Self-Concept Scale. In this study scores on the Piers-Harris scale from a sample of elementary-school-age, educable mentally retarded subjects were factor analyzed. Partial support for the construct validity of the Piers-Harris scale was obtained by replicating Piers-Harris factors bearing on physical appea…
Studying Canonical Analysis
Robert M. Thorndike (1976) commented on the results of a Monte Carlo study on the stability of canonical correlations, canonical weights, and canonical variate-variable correlations (Barcikowski and Stevens, 1975). In this paper each of his comments are examined by the authors of the Monte Carlo Study. In addition, a possible solution to the large number of subjects necessary for stable weights and variate-variable correlations using ridge regres…
A Monte Carlo Study of the Stability of Canonical Correlations, Canonical Weights and Canonical Variate-Variable Correlations
A Monte Carlo study was run to check the stability of canonical correlations, canonical weights, and canonical variate-variable correlations. Eight data matrices were selected from the literature for the canonical analyses, with the number of variables ranging from 7 to 41. The results showed that the canonical correlations are very stable upon replication. The results also indicated that there is no solid evidence for concluding that the compone…
Selecting Optimum Sample Size and Number of Levels in Nested Random-Effects Designs
The Effects of Item Discrimination on the Standard Errors of Estimate Associated with Item-Examinee Sampling Procedures
A Monte Carlo study was conducted using item-examinee sampling procedures to examine the standard error of estimate for a given test's mean and variance. The main variables considered were test length, item difficulty, and item discrimination. The results indicate that optimal estimates, i.e., smallest standard error, of both mean and variance from a single item-examinee sampling plan may not be possible
A Computer Program for Calculating Power when Using the T2 Statistic With Selected Designs
A Computer Program for Randomly Selecting Test Items from an Item Population
A Computer Program for Selecting Optimum Sample Size and Number of Levels in a one Way Random Effects Analysis of Variance
A Computer Program for Calculating the Power of F Tests in Analysis of Variance and Covariance for Specified Alpha Levels, Sample Sizes, and Effect Sizes
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A Computer Program for Randomly Selecting Test Items from an Item Population
A Computer Program for Selecting Optimum Sample Size and Number of Levels in a one Way Random Effects Analysis of Variance
A Computer Program for Calculating the Power of F Tests in Analysis of Variance and Covariance for Specified Alpha Levels, Sample Sizes, and Effect Sizes
A Computer Program for Calculating Power when Using the T2 Statistic With Selected Designs
Selecting Optimum Sample Size and Number of Levels in Nested Random-Effects Designs
The Effects of Item Discrimination on the Standard Errors of Estimate Associated with Item-Examinee Sampling Procedures
A Monte Carlo study was conducted using item-examinee sampling procedures to examine the standard error of estimate for a given test's mean and variance. The main variables considered were test length, item difficulty, and item discrimination. The results indicate that optimal estimates, i.e., smallest standard error, of both mean and variance from a single item-examinee sampling plan may not be possible
A Monte Carlo Study of the Stability of Canonical Correlations, Canonical Weights and Canonical Variate-Variable Correlations
A Monte Carlo study was run to check the stability of canonical correlations, canonical weights, and canonical variate-variable correlations. Eight data matrices were selected from the literature for the canonical analyses, with the number of variables ranging from 7 to 41. The results showed that the canonical correlations are very stable upon replication. The results also indicated that there is no solid evidence for concluding that the compone…
Studying Canonical Analysis
Robert M. Thorndike (1976) commented on the results of a Monte Carlo study on the stability of canonical correlations, canonical weights, and canonical variate-variable correlations (Barcikowski and Stevens, 1975). In this paper each of his comments are examined by the authors of the Monte Carlo Study. In addition, a possible solution to the large number of subjects necessary for stable weights and variate-variable correlations using ridge regres…
The Factorial Validity of the Piers-Harris Children's Self Concept Scale for a Sample of Intermediate-Level EMR Students Enrolled in Elementary School
Several factor analytic studies have obtained encouraging but inconclusive evidence for the construct validity of the Piers-Harris Children's Self-Concept Scale. In this study scores on the Piers-Harris scale from a sample of elementary-school-age, educable mentally retarded subjects were factor analyzed. Partial support for the construct validity of the Piers-Harris scale was obtained by replicating Piers-Harris factors bearing on physical appea…
Calculating the Statistical Power of the Univariate and the Multivariate Repeated Measures Analyses of Variance for the Single Group Case Under Various Conditions
Repeated measures designs find frequent application in behavioral research. Researchers using such designs must choose between the univariate approach and the multivariate approach for a test statistic. The statistical power of these two approaches has been shown to be varyingly different depending upon the structure of the variance-covariance matrix relative to the pattern of mean differences. However, the guidelines for choosing the most powerf…
Mathematics (10 works) · Statistics (9 works) · Psychology (7 works) · Computer Science (6 works) · Econometrics (6 works) · Psychometric Methodologies and Testing (4 works) · Psychometrics (4 works) · Sample (material) (4 works) · Variance (accounting) (4 works) · Analysis of variance (3 works)