Introduction
Program evaluation in data science
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1. The Evolution of ROI in Data Science
What is program evaluation?
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Program evaluation and data science
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A brief history of program evaluation
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Types of evaluations
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Logic models and program theory
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2. Program Evaluation Designs
Threats to validity
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Preexperimental design
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Quasi-experimental design
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Interrupted time series
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Experimental design
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3. Measurement: Reliability and Validity
Measurement
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Reliability and validity of evaluation measures
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Questionnaire design
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4. Process Evaluation: Did We Do What We Wanted to Do?
Analysis of evaluation data
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Process evaluation
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5. Dissemination to Stakeholders
Definitions of equity
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Stakeholders and context
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Disseminating evaluation results
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6. Continuing Your Program Evaluation Learning Journey
Additional program evaluation resources
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