Common Quantitative Research Questions – Group Differences

Generally speaking, there are four types of commonly asked questions in that lead to inferential analyses in quantitative research. Those questions examine differences between groups, differences over time, relationships between variables, and prediction of outcomes. We’ll look further at the construction of some group difference questions, keeping in mind that many reviewers don’t like research

Commonly asked questions in quantitative research – Group Differences

Generally speaking, there are four types of commonly asked questions in that lead to inferential analyses in quantitative research. Those questions examine differences between groups, differences over time, relationships between variables, and prediction of outcomes. We’ll look further at the construction of some group difference questions, keeping in mind that many reviewers don’t like research

Reject the Null or Accept the Alternative? Semantics of Statistical Hypothesis Testing

If you are conducting a quantitative study for your dissertation, it is likely you have created a set of hypotheses to accompany your research questions. It is also likely that you have constructed your hypotheses in the “null/alternative” format. In this format, each research question has both a null hypothesis and an alternative hypothesis associated

Testing Normality in Structural Equation Modeling

When conducting a structural equation model (SEM) or confirmatory factor analysis (CFA), it is often recommended to test for multivariate normality. Some popular SEM software packages (such as AMOS) assume your variables are continuous and produce the best results when your data are normally distributed. Here we discuss a few options for testing normality in

R-Squared: Telling us what we know and what we do not know

A Tool for Complex Mediation and Moderation Models

Data Separation

Testing Assumptions of Linear Regression in SPSS

Testing Normality in SPSS

What to do When Your Sample Size is Not Big Enough