Descriptor
| Algorithms | 3 |
| Test Theory | 3 |
| Factor Analysis | 2 |
| Maximum Likelihood Statistics | 2 |
| Statistical Studies | 2 |
| Change | 1 |
| Correlation | 1 |
| Estimation (Mathematics) | 1 |
| Mathematical Formulas | 1 |
| Research Problems | 1 |
Source
| Psychometrika | 3 |
Publication Type
| Journal Articles | 3 |
| Reports - Research | 3 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewedMessick, Samuel – Psychometrika, 1981
Bond criticized the base-free measure of change proposed by Tucker, Damarin, and Messick by pointing to an incorrect derivation which is here viewed instead as a correct derivation entailing an inadequately specified assumption. Bond's revision leads to negatively biased estimates, whereas the original approach leads to unbiased estimates.…
Descriptors: Algorithms, Change, Correlation, Mathematical Formulas
Peer reviewedBentler, P. M.; Tanaka, Jeffrey S. – Psychometrika, 1983
Rubin and Thayer recently presented equations to implement maximum likelihood estimation in factor analysis via the EM algorithm. It is argued here that the advantages of using the EM algorithm remain to be demonstrated. (Author/JKS)
Descriptors: Algorithms, Factor Analysis, Maximum Likelihood Statistics, Research Problems
Peer reviewedRubin, Donald B.; Thayer, Dorothy T. – Psychometrika, 1983
The authors respond to a criticism of their earlier article concerning the use of the EM algorithm in maximum likelihood factor analysis. Also included are the comments made by the reviewers of this article. (JKS)
Descriptors: Algorithms, Estimation (Mathematics), Factor Analysis, Maximum Likelihood Statistics
