Date(s) - 10/13/2016
3:00 pm - 5:00 pm
Category No Categories
“Is my sample size big enough?” and “Do I have enough observations to get reliable results?” are basic questions many social science researchers continue to face while planning to conduct statistical analyses. Power analysis is an important tool to deal with these questions. Statistical power analysis is a technique and a supplement to building experimental and quasi-experimental research designs. You will find it useful to evaluate study designs, budget and plan data collection – sometimes done as a response to funding agencies’ requirements.
This workshop provides an introduction to the conceptual elements of power analysis with a view of designing statistical studies and determining sample sizes. The free software G*Power will be introduced with examples, guidelines and considerations for practicing power analysis in social sciences research. Reviewing topics in probability, sampling, and hypothesis testing would be useful before participating in this workshop. Participants must bring their own laptop to download G*Power for the hands-on exercises.
Instructor: Kailas Venkitasubramanian
Registrations are closed for this event.