Descriptor
Source
| Multivariate Behavioral… | 4 |
Author
| Goffin, Richard D. | 2 |
| Jackson, Douglas N. | 1 |
| McCrae, Robert R. | 1 |
| Medoff, Deborah R. | 1 |
| O'Grady, Kevin E. | 1 |
Publication Type
| Journal Articles | 4 |
| Reports - Evaluative | 4 |
| Speeches/Meeting Papers | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
| NEO Personality Inventory | 1 |
What Works Clearinghouse Rating
Peer reviewedGoffin, Richard D. – Multivariate Behavioral Research, 1993
Two recent indices of fit, the Relative Noncentrality Index (RNI) (R. P. McDonald and H. W. Marsh, 1990) and the Comparative Fit Index (P. M. Bentler, 1990), are shown to be algebraically equivalent in most applications, although one condition in which the RNI may be advantageous for model comparison is identified. (SLD)
Descriptors: Comparative Analysis, Equations (Mathematics), Evaluation Methods, Goodness of Fit
Peer reviewedO'Grady, Kevin E.; Medoff, Deborah R. – Multivariate Behavioral Research, 1991
A procedure for evaluating a variety of rater reliability models is presented. A multivariate linear model is used to describe and assess a set of ratings. Parameters are represented in terms of a factor analytic model, and maximum likelihood methods test the model parameters. Illustrative examples are presented. (SLD)
Descriptors: Comparative Analysis, Correlation, Equations (Mathematics), Estimation (Mathematics)
Peer reviewedMcCrae, Robert R. – Multivariate Behavioral Research, 1993
To assess cross-observer agreement on personality profiles, an Index of Profile Agreement and an associated coefficient are proposed that take into account both the difference between the ratings and the extremes of their mean. Data from the Revised NEO Personality Inventory for 250 peer ratings/self-reports and 68 spouse ratings/self-reports…
Descriptors: Adults, Comparative Analysis, Equations (Mathematics), Evaluation Methods
Peer reviewedGoffin, Richard D.; Jackson, Douglas N. – Multivariate Behavioral Research, 1992
The way in which trait and rater variance combine in multitrait-multirater (MTMR) performance appraisal data is explored. Implications of the confirmatory factor analytic model and the composite direct product (CDP) model for MTMR data are examined. Superior fit of the CDP model for four data sets is discussed. (SLD)
Descriptors: Equations (Mathematics), Evaluation Methods, Goodness of Fit, Interrater Reliability


