Causal Models in Experimental Designs

H.M. Blalock, Jr. (1926-1991) was professor of sociology at the University of Washington, Seattle. He was recipient of the 1973 ASA Samuel Stouffer Prize, and was a Fellow of the American Statistical Association and the American Academy of Arts and Sciences, and is a member of the National Academy of Sciences. He was the 70th president of the American Sociological Association.

• The Use of Causal Models in Experimental and Nonexperiment al Designs; 1: Logic of Causal Analysis: From Experimental to Nonexperimental Designs *; 2: Causal Models Involving Unmeasured Variables in Stimulus - Response Situations *; 3: Utilizing Causal Models to Discover Flaws in Experiments *; 4: Causal Models, Unobserved Variables, and Experimental Data *; 5: Inadvertent Manipulations of Dependent Variables in Research Designs; Part II: The Use of Causal Models in Panel Designs; 6: Separating Reliability and Stability in Test-Retest Correlation; 7: The Estimation of Measurement Error in Panel Data *; 8: Comment on “The Estimation of Measurement Error in Panel Data” *; 9: Problems in Estimating Measurement Error from Panel Data: An Example Involving the Measurement of Scientific Productivity *; 10: Estimating Measurement Error Using Multiple Indicators and Several Points in Time *; 11: The Stability and Reliability of Political Efficacy: Using Path Analysis to Test Alternative Models *; 12: Equilibrium and Identification in Linear Panel Models *; 13: Causal Inference in Cross-Lagged Panel Analysis* *; 14: The Reciprocal Effects of the Substantive Complexity of Work and Intellectual Flexibility: A Longitudinal Assessment *