Brings together techniques for the design and analysis of comparative studies. Methods include multivariate matching, standardization and stratification, analysis of covariance, logit analysis, and log linear analysis. Quantitatively assesses techniques' effectiveness in reducing bias. Discusses hypothesis testing, survival analysis, repeated measure design, and causal inference from comparative studies.
Autorentext
Sharon Roe Anderson, cofounder of Aurora Consulting, is an experienced facilitator and consultant around issues related to strategic planning, team building, facilitation, nonprofit board governance, and implementation.
Inhalt
Introduction.
Confounding Factors.
Expressing the Treatment Effect.
Randomized and Nonrandomized Studies.
Some General Considerations in Controlling Bias.
Matching.
Standardization and Stratification.
Analysis of Covariance.
Logit Analysis.
Log-Linear Analysis.
Survival Analysis.
Analyzing Data From Premeasure/Postmeasure Designs.
Choice of Procedure.
Considerations in Assessing.
Association and Causality.
Index.