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.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

---

Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis eBooks
• 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 *