| beta weight (β) | Standardized regression weight used to interpret the results of a linear regression analysis. A beta weight can be interpreted as a partial correlation coefficient.
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| canonical correlation | Multivariate statistical techniques used to correlate two sets of variables.
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| discriminant analysis | Multivariate statistical technique used when you have multiple predictor variables and a categorical criterion variable.
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| factor analysis | Multivariate statistical technique that uses correlations between variables to determine the underlying dimensions (factors) represented by the variables.
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| latent variable | A variable in structural equation modeling that is not directly observable and must be estimated from other measures.
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| loglinear analysis | A nonparametric, multivariate statistical technique used primarily to evaluate data from multifactor research with a nominal dependent variable. It can also be used on interval or ratio data that violate the assumptions of the analysis of variance.
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| multiple R | The correlation between the best linear combination of predictor variables entered into a multiple regression analysis and the dependent variable.
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| multiple regression | Multivariate linear regression analysis used when you have a single criterion variable and multiple predictor variables.
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| multivariate analysis of variance (MANOVA) | Multivariate analog to the analysis of variance used to analyze data from an experimental design with multiple dependent variables.
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| multivariate design | A research design in which multiple dependent or predictor variables are included.
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| multivariate strategy | A data analysis strategy in which multiple dependent measures are analyzed with a single, multivariate statistical test.
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| multiway frequency analysis | A class of alternatives to ANOVA, MANOVA, or regression analysis for use when you want to measure or manipulate categorical variables.
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| part correlation | (semipartial correlation) Multivariate correlational statistic used to examine the relationship between two variables with the effects of a third variable removed from only one of them.
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| partial correlation | Multivariate correlational statistic used to examine the relationship between two variables with the effect of a third variable removed from both of them.
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| path analysis | An application of multiple regression used to develop and test causal models using correlational data.
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| R-square | The square of the multiple R in a multiple regression analysis. Provides a measure of the amount of variability in the dependent measure accounted for by the best linear combination of predictor variables.
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| structural equation modeling (SEM) | A variant of path analysis in which variables that are indirectly observed and measured are included in the analysis, allowing you to evaluate relationships involving hypothetical constructs.
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| univariate strategy | A data analysis strategy in which multiple dependent measures are analyzed independently with separate statistical tests.
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