Experimental and Quasi-experimental Designs for Generalized Causal InferenceHoughton Mifflin, 2002 - 623 Seiten This long awaited successor of the original Cook/Campbell "Quasi-Experimentation: Design and Analysis Issues for Field Settings" represents updates in the field over the last two decades. The book covers four major topics in field experimentation: Theoretical matters: Experimentation, causation, and validityQuasi-experimental design: Regression discontinuity designs, interrupted time series designs, quasi-experimental designs that use both pretests and control groups, and other designsRandomized experiments: Logic and design issues, and practical problems involving ethics, recruitment, assignment, treatment implementation, and attritionGeneralized causal inference: A grounded theory of generalized causal inference, along with methods for implementing that theory in single and multiple studies |
Inhalt
EXPERIMENTS AND GENERALIZED CAUSAL | 1 |
Causation Correlation and Confounds | 7 |
Randomized Experiment | 13 |
Urheberrecht | |
61 weitere Abschnitte werden nicht angezeigt.
Häufige Begriffe und Wortgruppen
alternative analysis ANCOVA apply assess assigned to conditions assignment variable assumptions attrition biases Campbell cancer causal inference causal relationship cause chapter clinical confounded construct validity control group Cook correlated covariation Cronbach cutoff dependent variable effect size effect sizes equation error estimates evaluation example experimental external validity Figure heterogeneous hypothesis implementation increase instance interaction internal intervention irrelevant Journal label latent variable levels manipulation matching mediator ment meta-analysis methods multiple nonequivalent observed occur outcome measures participants patients periment persons plausible population possible practical problems procedures propensity score Psychological psychotherapy qualitative quasi-experiments questions random assignment random sampling randomized experiment randomly reduce regression discontinuity relevant requires Rubin scientists selection bias Sesame Street settings Shadish similar social sometimes statistical conclusion validity statistical power theory therapy threats to validity tion treatment effect treatment group Type I error units