Majority of the quantitative research studies that are undertaken by academician and scholars will be one of three types, which we refer to as duplication, generalization or extension. Duplication research studies take some published research and then repeat it under identical scenario and check if the results obtained are same as in the original research study. In some cases the researcher might just use the original data and reanalyze to […]
The term multiple regression (linear regression analysis with more than one variable) was first used by Pearson in 1908. Multiple regression is a statistical technique that help us in understanding about the relationship between several independent or predictor variables and a dependent variable (also called criterion variable). Let us take an example to understand this in some detail. Suppose that you are a researcher and you record data of 1000 MBA […]
The Linear Mixed Models procedure expands the general linear model so that the error terms and random effects are permitted to exhibit correlated and non-constant variability. The linear mixed model, therefore, provides the flexibility to model not only the mean of a response variable, but its covariance structure as well. In other words, it is an extension of the general linear model, in which factors and covariates are assumed to […]
