Summative Scale ScoresOccasionally, doctoral students are challenged on the validity of using parametric statistics to analyze summative scale scores. This article is intended to clarify the issues.
Ordinal DataSeveral of my clients, and their committee members have had some misunderstandings about the use of parametric statistics with ordinal data, so I decided to write this article to help clarify the issues.
Correlation and RegressionSome researchers don't understand the value of performing both Pearson's correlation and multiple linear regression. This article is intended to clarify the issues.
Smallest Sample SizeThis is actually a tougher question than you might think. This article attempts to clarify the issues.
How to Write a ProposalAs a professional statistician I have helped many hundreds of doctoral students with the statistical aspects of their dissertation proposal. Along the way I have found that many doctoral students struggle with the development of the entire proposal, not just the statistics. This article gives some insight into what I have learned about how to write a doctoral dissertation proposal.
Recruiting Study ParticipantsRecruiting participants for a research study can be challenging. This article explains ways to make study participant recruitment easier.
All But DissertationIf you are stuck in the "All But Dissertation (ABD)" status, this article is intended to clarify how you can get past the statistics hurdle.
Sample Size and Target PopulationThe text book approach to determining a sample size is to estimate the expected effect size and then use statistical power analysis software to determine the necessary sample size for a given alpha level (e.g. 0.05) and power (e.g. 0.80) in order to detect the estimated effect size.
Results That Are Not Statistically SignificantThis article is intended to help the reader understand and discuss a non-statistically significant finding for one (or more) of their hypothesis test results (e.g. t-test, Chi-square test, ANOVA) etc. To begin with, I'll provide some background to provide context. One thing all inferential statistical analyses have in common is...