H. M. Blalock

Causal Models in Experimental Designs (eBook, ePUB)

• Format: ePub

Produktbeschreibung

A companion volume to the "Causal Models in the Social Sciences", this work includes articles, the majority of which concern panel designs involving repeated measurements while a smaller cluster involves discussions of how experimental designs may be improved by more explicit attention to causal models.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 298
• Erscheinungstermin: 12. Juli 2017
• Englisch
• ISBN-13: 9781351529808
• Artikelnr.: 48866821

Autorenporträt

H. M. Blalock

Inhaltsangabe

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 *