What is the Dependent Sample T-Test? The dependent sample t-test is a member of the t-test family. All tests from the t-test family compare one or more mean scores with each other. The t-test family is based on the t-distribution, sometimes also called Student’s t. Student is the pseudonym used by W. S. Gosset in
What is the Repeated Measures ANCOVA? The repeated measures ANCOVA is a member of the GLM procedures. ANCOVA is short for Analysis of Covariance. All GLM procedures compare one or more mean scores with each other; they are tests for the difference in mean scores. The repeated measures ANCOVA compares means across one or more
What is the One-Way MANCOVA? MANCOVA is short for Multivariate Analysis of Covariance. The words “one” and “way” in the name indicate that the analysis includes only one independent variable. Like all analyses of covariance, the MANCOVA is a combination of a One-Way MANOVA preceded by a regression analysis. In basic terms, the MANCOVA looks
What is the Factorial ANCOVA? ANCOVA is short for Analysis of Covariance. The factorial analysis of covariance is a combination of a factorial ANOVA and a regression analysis. In basic terms, the ANCOVA looks at the influence of two or more independent variables on a dependent variable while removing the effect of the covariate factor.
What is the One-Way ANCOVA? ANCOVA is short for Analysis of Covariance. The analysis of covariance is a combination of an ANOVA and a regression analysis. In basic terms, the ANCOVA examines the influence of an independent variable on a dependent variable while removing the effect of the covariate factor. ANCOVA first conducts a regression
Multivariate analysis of covariance (MANCOVA) is a statistical technique that is the extension of analysis of covariance (ANCOVA). Basically, it is the multivariate analysis of variance (MANOVA) with a covariate(s).). In MANCOVA, we assess for statistical differences on multiple continuous dependent variables by an independent grouping variable, while controlling for a third variable called the covariate;
GLM repeated measure is a statistical technique that takes a dependent, or criterion variable, measured as correlated, non-independent data. Commonly used when measuring the effect of a treatment at different time points. The independent variables may be categorical or continuous. GLM repeated measure can be used to test the main effects within and between the
Generalized linear models are an extension, or generalization, of the linear modeling process which allows for non-normal distributions. Common non-normal distributions are Poisson, Binomial, and Multinomial. Related linear models include ANOVA, ANCOVA, MANOVA, and MANCOVA, as well as the regression models. In SPSS, generalized linear models can be performed by selecting “Generalized Linear Models” from