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, ...

Firstly, innovation is at the core of research, but many researchers find it difficult to choose between "filling small gaps" and "pursuing significant breakthroughs." The former is easier to ...

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 ...

INTRODUCTION: With rising student debt, identifying ways for students to contain the cost of their education is highly desired. Numerous prerequisite courses are required for admission to a physical ...

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 ...

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 ...

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 ...

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 ...