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Have you ever wondered how large of a sample size you need to be for obtaining reliable evaluation evidence? Have you wondered what statistical power means? Join AmeriCorps’ Office of Research and Evaluation and our guest speakers from University of Chicago’s NORC on Tuesday, March 30, for next Research and Evidence webinar.
This class focuses on the concept of statistical power and explains why it’s an important tool for evaluation planning. Statistical power helps estimate the sample size requirements for obtaining reliable evidence of program impacts in outcome and impact evaluations. Reliable evidence is the basis for program improvement, evidence building, and replication and scaling. This class is the first in a series of three on statistical power available on the AmeriCorps Impact Webinars page.
Join Us
Power Analysis for Program Evaluation I: An Introduction
Tues., March 30, 2:30-4 p.m. ET
Tentative Agenda
Welcome: Lily Zandniapour, Ph.D., Research and Evaluation Manager, AmeriCorps
Introductory Remarks: Carrie Markovitz, Ph.D., Principal Research Scientist, NORC Speakers: Eric Hedberg, Ph.D., Senior Data Scientist, NORC
Closing Remarks: Carrie Markovitz, Ph.D., Principal Research Scientist, NORC
Q&A: Facilitated by Andrea Robles, Ph.D., Research and Evaluation Manager, AmeriCorps
AmeriCorps Office of Research and Evaluation
AmeriCorps sponsors and supports scholarly research. Findings are used to identify effective strategies for national service, increase the evidence-base for its programs, and strengthen civic infrastructure and civic engagement in America. To find out more about research and evaluation at AmeriCorps, check out our research webpages. If you have any questions, contact us at evaluation@cns.gov.
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