GENERAL LINEAR MODEL

Jun 21st, 2015
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The general linear model (GLM) is a flexible statistical model incorporating analyses involving normally distributed dependent variables and combinations of categorical and continuous independent (predictor) variables.

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GENERAL LINEAR MODEL (GLM)The general linear model (GLM) is a flexible statistical model incorporating analyses involving normally distributed dependent variables and combinations of categorical and continuous independent (predictor) variables.GLM procedure can accommodate univariate models (one dependent variable) involving:a) Categorical predictors only (ANOVA)b) Continuous predictors only (Regression)c) Combinations of categorical predictors and continuous predictors (ANCOVA)It also can accommodate two or more dependent variables of all the above models (multivariate models). Categorical predictors are referred to as factors, while continuous predictors are called covariates.GLM can also fit repeated measures or within-subjects models, including doubly multivariate repeated measures models involving multiple measures at each time point or under each combination of conditions.To use a GLM procedure, from the menus choose one of the following:AnalyzeGeneral Linear ModelUnivariateorMultivariate orRepeated MeasuresONE-WAY REPEATED MEASURES ANOVAIn a one-way repeated measures ANOVA design each subject is exposed to two or more different conditions, or measured on the same continuous scale on three or more occasions. It can also be used to compare respondents responses to two or more different questions or items. These questions however must be measured using the same scale (eg. 1 = strongly agree, to 5 = strongly di

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