Modified Van Kaam Analysis

Odd One Out: Understanding Outliers

Baron and Kenny’s Method for Mediation

Choosing a Qualitative Data Analysis Plan

Considerations for data collection in pre-test/post-test designs

Tips for writing your data collection procedures

Should you use a one-tailed test or a two-tailed test for your data analysis?

Tools to Expedite Your Proposal, IRB, and Results

Back in the mid-90’s I began as assisting masters’ students with the statistics.  The students came from many disciplines and it was fun to sit in a coffee shop and crunch through research questions.  Then came my own master’s thesis and my own dissertation.  Whatever could take longer did take longer.  While I’m proud of

Missing Data: Listwise vs. Pairwise

Listwise and pairwise deletion are the most common techniques to handling missing data (Peugh & Enders, 2004).  It is important to understand that in the vast majority of cases, an important assumption to using either of these techniques is that your data is missing completely at random (MCAR).  In other words, the researcher needs to

Random Selection Using an Archival Dataset

If a researcher has a large archival dataset to gather data from, they may need to select a random sample from that dataset.  The following information presents one method to preform random selection using an archival dataset. Regarding how to randomly sample, keep in mind that is always better to have a sample size larger