Chapter 9

2. a variable explained by a determinant or predictor variable or variables, as postulated in a structural equation model
4. the result of the integration of confirmatory factor analysis and path analysis
9. an extension of the Pearson correlation, it is used to estimate the relationships of multiple predictors to a criterion
11. a statistic used to determine the extent of linear relationship between two variables, that is, the extent that variation in one measure is accompanied consistently by unidirectional variation in the other
12. a type of structural equation model in which predictive relationships involving only measured variables are estimated

1. an index of interrater reliability for two or more coders of a quantitative variable used to assess the extent to which participants have more homogeneous scores within higher-order grouping units relative to variability of participant scores across all groupings in a multilevel model
3. the squared value of the Pearson correlation (r^2). It represents the proportion of variance shared between two (correlated) variables
5. a statistical technique that overcomes the limitations of a multiple regression analysis by allowing the researcher to estimate and test the strength of relationships among multiple predictors and multiple criterion variables
6. an overall index of how well all the computed estimates of a relationship in the model successfully reproduce the underlying matrix of correlations among the variables
7. a process in which participants are divided at the “middlemost” score, with 50% of participants falling above and 50% falling below the split
8. a statistical technique used to estimate the relationship of predictor(s) to a criterion, if the design involves a nested hierarchy of units
10. a variable not explained by a determinant or predictor, as postulated in structural equation model