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Dong, Nianbo – American Journal of Evaluation, 2015
Researchers have become increasingly interested in programs' main and interaction effects of two variables (A and B, e.g., two treatment variables or one treatment variable and one moderator) on outcomes. A challenge for estimating main and interaction effects is to eliminate selection bias across A-by-B groups. I introduce Rubin's causal model to…
Descriptors: Probability, Statistical Analysis, Research Design, Causal Models
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Corter, Carl; Patel, Sejal; Pelletier, Janette; Bertrand, Jane – Early Education and Development, 2008
Research Findings: Integrated services for young children and families are part of the new policy landscape in early childhood, but there is limited evidence of the effectiveness of these programs and how they develop on the ground. This study examined the use of the Early Development Instrument (EDI) as both a summative program evaluation tool…
Descriptors: Integrated Services, Program Evaluation, Program Improvement, Demonstration Programs