Event Phone: 1-610-715-0115

Cancellation Policy: If you cancel your registration at least two weeks before the course is scheduled to begin, you are entitled to a full refund (minus a processing fee of $50).

In the unlikely event that Statistical Horizons LLC must cancel a seminar, we will do our best to inform you as soon as possible of the cancellation. You would then have the option of receiving a full refund of the seminar fee or a credit towards another seminar. In no event shall Statistical Horizons LLC be liable for any incidental or consequential damages that you may incur because of the cancellation.

A 3-Day Remote Seminar Taught by Christopher L. Aberson, Ph.D.

Statistical power analysis addresses the question “how large a sample do I need?” Alternatively, researchers may face a situation where sample size is determined by other factors (e.g., cost) and need to address how much power the design affords for detecting effect of various sizes (sensitivity analysis). Although tools exist to facilitate many analyses, issues such as determining effect size for estimation and power for designs more complex designs (e.g., designs with multiple predictor variables and mediation).

The Applied Power Analysis and Sample Size Planning seminar focuses on power for detecting effects across a wide range of research designs. The course begins with a discussion of basic theoretical issues such as why power is important and factors affecting power. The course moves on to examine and demonstrate power and sensitivity approaches for designs including t-tests, Chi-square, multiple regression, logistic regression, ANOVA (between, within, and mixed designs), and mediation.

For each topic, there is a strong focus on “how-to” examples for conducting analyses using the pwr2ppl R package. Attendees will also receive code and examples for analyses using other software (e.g., STATA, G*Power, SPSS). Each day of the course includes hands-on lab session. Additional sessions will be held Thursday and Friday afternoons as an “office hour”, where participants can ask additional questions.

Participants in this seminar can expect to come away with:

1. A conceptual understanding of power and the factors that affect power.
2. An understanding of common misconceptions and pitfall in conducting power analysis.
3. An appreciation for design and analysis issues that impact power (e.g., multiple predictors, scale reliability).
4. Experience with software for conducting statistical power and sensitivity analyses.
5. Practical tools and strategies for conducting power/sensitivity analyses across a wide range of research designs.