Sample Size Planning for Power and Accuracy

June 6-8, 2023
10:00 am – 3:30 pm (Eastern US time)
Replay Access: 1 year from end of workshop
Instructor: Samantha Anderson
Software Demonstrations: Conducted live in G*Power, R, and web apps

Student: $475
Professional: $595

Category: Livestream, Workshops

Sample size planning is an essential part of designing research studies that can actively answer scientific of questions of interest and contribute meaningfully to a research literature. The goal of this three-day workshop is to provide a comprehensive introduction to sample size planning for statistical power and accurate estimation, focusing on designs and approaches commonly considered by researchers in the educational, psychological, behavioral, and health sciences. Topics include planning for statistical power, accurate estimation, fitting complex models, sequential sample size planning, and additional considerations. The workshop equally weights (1) coverage of the conceptual foundations underlying sample size, power, and accuracy, and (2) guidance on applying sample size planning in realistic scenarios. Relevant software demonstrations using freely-available software will be interwoven throughout the workshop to demonstrate sample size planning for both power and accuracy. The unifying goal of the workshop is to provide researchers with an accessible introduction sample size planning, statistical power, and accuracy, with the tools and knowledge to use these approaches to improve the design of their own studies.


Samantha Anderson, Ph.D.

Samantha Anderson is an Assistant Professor in the Quantitative Methods program at Arizona State University with research interests that broadly center on developing, understanding, and enhancing cumulative knowledge through study design and analysis. Read More

Workshop Details


Although this will be the first offering of Sample Size Planning for Power and Accuracy with our organization, Samantha has received excellent reviews in her prior teaching:

Hands down the best and most accessible statistics course I have taken. Dr. Anderson is an amazing teacher who is very thoughtful about how to relay complex information in a clear way.

She is one of the most effective teachers that I've ever had the opportunity to learn from. It is clear that she is an expert in the field and is genuinely interested in what she teaches.

Dr. Anderson was amazing!! I was really worried about the material covered in this class, but she has an incredible ability to explain even the most difficult concepts as clearly as possible. She is an outstanding teacher!!!

She is the BEST! I've always had great Stats professors, but she is by far my favorite. She had the perfect balance of making the material challenging, but also encouraging us to learn and appreciate the material... she has such great examples that really helped me apply what we learned to my research. It is very clear that she loves what she does, she is very knowledgeable, and she clearly cares about her students and teaching. I hope I can take her again for many other classes!

Holy moly would I love to take all of my quant courses with Dr. Anderson. She delivered the material at an appropriate pace, especially given the huge mix of students in our class. I don’t know that I’ve ever had an instructor so cognizant of where her students are at in their understanding. The huge amount of work she puts into this course is very clear.

Samantha is the best instructor that I have ever had. My undergrad is in engineering and my master's is in business and as a result, I have taken various stats and math classes during my academic years. However, Samantha's class tops all of of those classes. Samantha is super nice and helpful, extremely knowledgeable in her field, and diligent. I am not sure if I can describe how thankful I am for all of the things that I have learned in her class.

Quick Navigation

Livestream Workshops

Modern Missing Data Analysis

December 6-8, 2023
Livestream & Replay Access
Instructor: Craig Enders

Read More about Modern Missing Data Analysis

Multilevel Models for Hierarchical Data

December 11-13, 2023
Livestream & Replay Access
Instructors: Dan Bauer & Patrick Curran

Read More about Multilevel Models for Hierarchical Data

Latent Curve Models

December 14-16, 2023
Livestream & Replay Access
Instructor: Dan Bauer & Patrick Curran

Read More about Latent Curve Models