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Source
| Multivariate Behavioral… | 7 |
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| Delaney, Harold D. | 1 |
| Grote, Gudela F. | 1 |
| Hsu, Louis M. | 1 |
| James, Lawrence R. | 1 |
| Levin, Joseph | 1 |
| Maxwell, Scott E. | 1 |
| McCrae, Robert R. | 1 |
| Ofir, Chezy | 1 |
| Werts, C. E. | 1 |
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| Journal Articles | 7 |
| Reports - Research | 4 |
| Reports - Evaluative | 2 |
| Reports - General | 1 |
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| Block Design Test | 1 |
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Peer reviewedHsu, Louis M. – Multivariate Behavioral Research, 1992
D.V. Budescu and J.L. Rogers (1981) proposed a method of adjusting correlations of scales to eliminate spurious components resulting from the overlapping of scales. Three reliability correction formulas are derived in this article that are based on more tenable assumptions. (SLD)
Descriptors: Correlation, Equations (Mathematics), Mathematical Models, Personality Measures
Peer reviewedDelaney, Harold D.; Maxwell, Scott E. – Multivariate Behavioral Research, 1981
The use of analysis of covariance in conjunction with the multivariate approach to analyzing repeated measures designs is considered for designs involving between- and within-subject factors, one dependent variable, and one observation per subject on the covariate. (Author/RL)
Descriptors: Analysis of Covariance, Correlation, Mathematical Models, Measurement Techniques
Peer reviewedLevin, Joseph – Multivariate Behavioral Research, 1986
The relation between the power of a significance test in a block design with correlated measurements and the reliability of the measuring instrument is analyzed in terms of the components of variance entering the reliability coefficient and the noncentrality parameter. (Author/LMO)
Descriptors: Analysis of Variance, Hypothesis Testing, Mathematical Models, Power (Statistics)
Peer reviewedWerts, C. E.; And Others – Multivariate Behavioral Research, 1980
This paper demonstrates how the problem of calibrating measures can be formulated in terms of confirmatory factor analysis. The relationships between traditional approaches and a confirmatory factor approach are specified. (Author/CTM)
Descriptors: Achievement Tests, Equated Scores, Factor Analysis, Intermediate Grades
Peer reviewedOfir, Chezy; And Others – Multivariate Behavioral Research, 1987
Three frequently used response formats are compared via analysis of covariance structures. The cumulative results based on four data sets provided evidence inconsistent with previous research suggesting that these formats are interchangeable. The semantic-differential format is most preferred while in most cases the Stapel format is least…
Descriptors: Analysis of Covariance, Factor Analysis, Hypothesis Testing, Mathematical Models
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 reviewedGrote, Gudela F.; James, Lawrence R. – Multivariate Behavioral Research, 1991
Validity evidence for a new instrument, the Situation-Response Measure of Achievement Motivation for analyzing cross-situational consistency of achievement-related behavior, is presented in a study of 246 college students. Exploratory factor analysis indicates the presence of two factors, striving and apprehensiveness. (SLD)
Descriptors: Academic Achievement, Achievement Need, Behavior Patterns, Coherence


