Preparing Data for Impact Analysis

Impact evaluation, which measures the extent to which a program's goals and objectives were attained and helps explain those effects, is vital to strategic and cost-effective investment and decision-making.

This course provides an introduction for learners to apply theories of social and behavior change communication (SBCC) and advanced statistical methods to improve the precision of the measurement of health communication impact. After completing this course, learners will be able to operationalize key variables to measure exposure, ideation, and psychosocial, behavioral, and social change; and manipulate data (coding, recoding, and generating new variables and scales) in preparation for analysis.

By the end of this course, learners will be able to:

1. Operationalize key measures of communication program exposure and recall, message comprehension and acceptance, ideation, and psychosocial, behavioral, and social change.
2. Manipulate data to create scales and indices and apply advanced multivariate, multilevel, and longitudinal analysis to test causal models of communication impact.