What to do When Your Sample Size is Not Big Enough

Testing Effects and the Solomon Four Group Design

When Significance isn’t Quite So Significant: Measuring Effect Size

Breathing as a Bridge between You and Your Committee

Recently I went to a dance event called Diavolo at the Straz Center in Tampa where I live. These performers are dancers, gymnasts, athletes, and acrobats. While completely impressed with their strength, flexibility, and cardiovascular capacity, I was struck with their teamwork. How did they trust each other, know when to hold on, when to

Intellectus Statistics: Available Analyses

The current analyses available in Intellectus Statistics are: Descriptive Statistics-Calculates frequencies and percentages for selected nominal and ordinal variables. Calculates means and standard deviations fro selected scale variables. Cronbach’s Alpha-Examines the extent to which a set of scale level variables are consistently scored. Chi-Square Test of Independence-Compares the observed frequencies to expected frequencies of two nominal

Preparing Your Data For Statistics Solutions Pro

SPSS data file preparation Excel data file preparation

Sugar Plums and Sample Size Blues

Its Christmas time again, and a good time to plan getting your dissertation completed, and that pesky scientific merit review, IRB application, concept paper, and dissertation proposal meeting. In the spirit of completing these tasks, there is a consistent problem that I find: graduate students struggle with the sample size determination. [Read More]

Multiple Regression Effect Size

Cohen’s ƒ2 is a measure of effect size used for a multiple regression.  Effect size measures for ƒ2are 0.02, 0.15, and 0.35, indicating small, medium, and large, respectively.