Register for a Workshop
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The Significance of Power Analysis and Effect Size Revisited *NEW*
Presented by Dr. Wayne Mitchell, Wednesday, November 18th, 2009, 1:00pm
Description: Due the number of request for power analysis, power and effect size is revisited in an attempt to assist researchers in generating effects size and power from their respective areas and/or own data. This workshop will introduce, define, and discuss the importance of effect size calculations and power analysis. Examples on how to apply, calculate, and interpret various types of effect sizes (e.g., Cohen's d, Cohen's f, omega-squared, eta-squared, partial-etas) for different parametric statistical tests will be presented. The importance of and 'how to conduct' power analyses prior implementing an experiment and how to assess effect size and power via a researcher’s pilot data will be presented.
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Statistical Analyses for Single Subject Designs *NEW*
Presented by Dr. Wayne Mitchell, Wednesday, December 2nd, 2009, 2:00pm
Description: Applied researchers often employ single-subject designs in their respective research and/or treatments within their clinical practice. And as such, there has been an increase in the request for statistical analyses and/or something above ‘visual inspection’ of treatment effects in single-subject designs. There are inherit problems conducting parametric statistics to single-subject designs, however there are suggested approaches and the approach is most often dictated by the design and the nature of the data. This workshop will review the various types of single-subject designs and possible statistical approaches whether the designs are used with single-subject data or group data.