At times it is desirable to have independent variables in the model that are qualitative rather than quantitative. This is easily handled in a regression framework. Regression uses qualitative ...

An introduction to analysing quantitative data including topics such as, understanding the distribution of data variables, and parametric and non-parametric statistical tests. Data refers to numbers, ...

Research is the backbone of society's progress. Without it, there would be no new drugs, tech, etc. Basically, every trace of human progress could grind to a halt. However, research is only as good as ...

When some variables are quantitative and some qualitative in a response-surface context, standard designs may not be suitable. The reasons for this are illuminated. Some alternative designs are ...

Admittedly, this post is just one more attempt to avoid the inevitable: my last evaluation paper of the semester. In the next 48-hours, I need to create a draft outcome evaluation plan for my ...

As a researcher who has used a wide variety of methodologies, I understand the importance of acknowledging that we, as researchers, do not pick the methodology; rather, the research question dictates ...

Pre-analytic variables, specifically cold ischemic time, have been implicated as key variables in the measurement of proteins by immunohistochemistry. To determine the significance and magnitude of ...