Power Analysis and Sample Size Planning - Online Course
A 4-Week On-Demand Seminar Taught by
Christopher L. AbersonEach Monday you will receive an email with instructions for the following week.
All course materials are available 24 hours a day. Materials will be accessible for an additional 2 weeks after the official close on April 1.
Statistical power analysis addresses the question “How large a sample do I need?” Alternatively, sample size may be determined by other factors (e.g., cost), and researchers then need to determine how much power the design affords for detecting effects of various sizes (sensitivity). Although many tools exist for calculating power and sample size for simple designs, these tasks can become quite daunting for more complex situations (e.g., designs with multiple predictor variables or mediation and moderation).
This seminar focuses on power for detecting effects across a wide range of research designs. It begins with a discussion of basic theoretical issues, such as why power is important and factors affecting power. The course then moves on to examine and demonstrate power and sensitivity approaches for designs that include t-tests, chi-square, multiple regression, logistic regression, ANOVA (between, within, and mixed designs), and mediation.
The course takes place in a series of four weekly installments of videos, readings, and assignments, and requires about 6-8 hours/week. You can participate at your own convenience; there are no set times when you are required to be online. The course can be accessed with any recent web browser on almost any platform, including iPhone, iPad, and Android devices. It consists of 12 modules:
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- Introduction to power
- Best practices/chi-square
- T-tests and one-way ANOVA
- Simple effects, ANCOVA, correlations
- Multiple regression
- Power to detect multiple coefficients in the same MR, additional factors affecting power
- Regression interactions, logistic regression
- Mediation, conditional processes
- Simulation intro
- Simulations for MR and confirmatory factor analysis
- Simulations for SEM and MLM, equivalence tests, loops, best practices
- Pitfalls, reporting guidelines
The modules contain videos of the 3-day livestream version of the course in its entirety. There are also weekly exercises that ask you to apply what you’ve learned to a real data set.
Each week, there are 2-3 assigned articles to read. There is also an online discussion forum where you can post questions or comments about any aspect of the course. All questions will be promptly answered by Dr. Aberson.
More details about the course content
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).
Participants in this seminar can expect to come away with:
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- A conceptual understanding of power and the factors that affect power.
- An understanding of common misconceptions and pitfalls in conducting power analysis.
- An appreciation for design and analysis issues that impact power (e.g., multiple predictors, scale reliability).
- Experience with software for conducting statistical power and sensitivity analyses.
- Practical tools and strategies for conducting power/sensitivity analyses across a wide range of research designs.
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).
Participants in this seminar can expect to come away with:
-
- A conceptual understanding of power and the factors that affect power.
- An understanding of common misconceptions and pitfalls in conducting power analysis.
- An appreciation for design and analysis issues that impact power (e.g., multiple predictors, scale reliability).
- Experience with software for conducting statistical power and sensitivity analyses.
- Practical tools and strategies for conducting power/sensitivity analyses across a wide range of research designs.
Computing
This seminar will use R for examples and exercises. Very little previous experience with R is needed as most analyses require a single line of code. Code in SPSS and Stata, as well as extra examples via G*Power (where applicable), will also be provided.
If you’d like to take this course but are concerned that you don’t know enough R, there are excellent on-line resources for learning the basics. Here are our recommendations.
This seminar will use R for examples and exercises. Very little previous experience with R is needed as most analyses require a single line of code. Code in SPSS and Stata, as well as extra examples via G*Power (where applicable), will also be provided.
If you’d like to take this course but are concerned that you don’t know enough R, there are excellent on-line resources for learning the basics. Here are our recommendations.
Who should register?
This course will be helpful for researchers in any field who design or conduct research studies. This should be especially useful for researchers submitting grant proposals that require power analysis. It will be helpful to have a basic understanding of power, effect size, and the analytic methods listed in the outline.
This course will be helpful for researchers in any field who design or conduct research studies. This should be especially useful for researchers submitting grant proposals that require power analysis. It will be helpful to have a basic understanding of power, effect size, and the analytic methods listed in the outline.
Registration instructions
The fee of $695 (USD) includes all course materials. All major credit cards are accepted.
This course is hosted on a platform called DigitalChalk. To register, you’ll need to go to statisticalhorizons.digitalchalk.com and click on Create Account. Then you will enter your name and email address, and create a password. Be sure to save your password because you will need it to logon to the course itself.
When you have created your account, you’ll be taken to your new home page. Click on the Register Now button (or click the Catalog icon on the left-hand column), and you’ll see “Power Analysis and Sample Size Planning” as one of the available courses. At the bottom of the box for that course, click the green button Add to Cart. Next click the green button at the top that says Checkout. You will then be prompted for your credit card information.
When you have finished the payment process, you will be taken back to your home page. Click on Dashboard to see Power Analysis and Sample Size Planning. When the course begins on March 4, you can click the play button to get started.
The fee of $695 (USD) includes all course materials. All major credit cards are accepted.
This course is hosted on a platform called DigitalChalk. To register, you’ll need to go to statisticalhorizons.digitalchalk.com and click on Create Account. Then you will enter your name and email address, and create a password. Be sure to save your password because you will need it to logon to the course itself.
When you have created your account, you’ll be taken to your new home page. Click on the Register Now button (or click the Catalog icon on the left-hand column), and you’ll see “Power Analysis and Sample Size Planning” as one of the available courses. At the bottom of the box for that course, click the green button Add to Cart. Next click the green button at the top that says Checkout. You will then be prompted for your credit card information.
When you have finished the payment process, you will be taken back to your home page. Click on Dashboard to see Power Analysis and Sample Size Planning. When the course begins on March 4, you can click the play button to get started.