Causal Models in the Social Sciences (eBook, ePUB)

Redaktion: Blalock Jr., H. M.

• Format: ePub

Produktbeschreibung

Causal models are formal theories stating the relationships between precisely defined variables, and have become an indispensable tool of the social scientist. This collection of articles is a course book on the causal modeling approach to theory construction and data analysis.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 227
• Erscheinungstermin: 28. Juli 2017
• Englisch
• ISBN-13: 9781351529778
• Artikelnr.: 49042783

Autorenporträt

H.M. Blalock Jr.

Inhaltsangabe

I SIMPLE RECURSIVE MODELS AND PATH ANALYSIS 1 Spurious Correlation: A
Causal Interpretation 2 Four-Variable Causal Models and Partial
Correlations 3 Path Coefficients and Path Regressions: Alternative or
Complementary Concepts? 4 Path Analysis: Sociological Examples 5 Causal
Inferences, Closed Populations, and Measures of Association II
SIMULTANEOUS-EQUATION TECHNIQUES 6 Identification Problems in Economic
Model Construction 7 Recursive versus Nonrecursive Systems: An Attempt at
Synthesis 8 The Application of a System of Simultaneous Equations to an
Innovation Diffusion Model 9 The Choice of Instrumental Variables in the
Estimation of Economy-Wide Econometric Models 10 Two Theorems on Ceteris
Paribus in the Analysis of Dynamic Systems 11 Sensitivity Analysis of
Arbitrarily Identified Simultaneous Equation Models III THE CAUSAL APPROACH
TO MEASUREMENT ERROR AND AGGREGATION 12 Theory, Deduction, and Rules of
Correspondence 13 Estimating the Parameters of Path Models Involving
Unmeasured Variables 14 Multiple Indicator Models Using LISREL 15
Respecification in Multiple Indicator Models 16 Multiple Indicators and
Complex Causal Models 17 Problems of Aggregation