| A Note on Validity Generalization Procedures |
JAN 85 |
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| Authors:
L. R. James; R. G. Demaree; S. A. Mulaik; GEORGIA INST OF TECH ATLANTA SCHOOL OF PSYCHOLOGY
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 | Validity generalization procedures are reviewed and found to be subject to the logical fallacy of affirming the consequent. Alternative models may explain variation in validity coefficients as well as the cross-situational consistency model espoused by proponents of validity generalization. Moreover, many of the assumptions that form the statistical foundation for validity generalization are false. It is recommended that (a) the conditionality of inferences based on validity generalization analyses be explicitly ... |
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| Estimating Within-Group Interrater Reliability with and without Response Bias |
09 DEC 1983 |
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| Authors:
L. R. James; R. G. Demaree; G. Wolf; GEORGIA INST OF TECH ATLANTA SCHOOL OF PSYCHOLOGY
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| This article presents methods for assessing agreement among the judgments made by a single group of judges on a single variable in regard to a single target. For example, the group of judges could be editorial consultants, members of an assessment center, or members of a team. The single target could be a manuscript, a lower-level manager, or a team. The variable on which the target is judged could be ... |
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| Moderator Analysis Based on Subgrouping: Problems Arising from the Use of Standardized Variables. |
04 NOV 1977 |
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| Authors:
L. R. James; K. E. Coray; R. G. Demaree; TEXAS CHRISTIAN UNIV FORT WORTH INST OF BEHAVIORAL RESEARCH
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| The use of parameters based on standardized variables, such as correlation coefficients or beta-weights, in subgrouping moderator analysis is addressed. It is suggested that a comparison of correlation coefficients or beta-weights across different populations may lead to results that are erroneous with respect to true causal processes. Moreover, it is proposed that even in descriptive analyses parameters based on standardized data may vary across populations simply because of population specific ... |
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| A Note on the Dynamic Correlation Coefficient. |
04 NOV 1977 |
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| Authors:
L. R. James; C. W. Hornick; R. G. Demaree; TEXAS CHRISTIAN UNIV FORT WORTH INST OF BEHAVIORAL RESEARCH
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| The use of the dynamic correlation coefficient as a test of spuriousness in longitudinal designs was examined. It was shown that given conditions of spuriousness and perfect stationarity, the dynamic correlation coefficient was positively, rather than inversely, related to spuriousness. It was recommended that the dynamic correlation coefficient not be used in the future as a test of spuriousness. (Author) |
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