Causal Models in the Social Sciences
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advanced causal modeling applications
Albert Ando
Albert N. Halter
Auxiliary Theory
Category=JHB
Charles E. Werts
Chi Square
coefficients
Confirmatory Factor Analysis
Confirmatory Factor Analysis Model
Correlated Error
Differential Bias
econometric techniques
Endogenous Dimension
Endogenous Variables
Epistemic Correlations
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Excess Equations
Exogenous Dimension
Exogenous Variables
Franklin M. Fisher
H. O. A. Wold
H.M. Blalock
Herbert A. Simon
Herbert L. Costner *
Jerald R. Herting
John L. Sullivan
Karl G. Joreskog
Kenneth C. Land
Marcus Felson
measurement theory
Michael T. Hannan
Multiple Indicator Model
multivariate analysis
Nonrandom Measurement Errors
Nonrecursive Systems
Otis Dudley Duncan
path
Path Coefficients
quantitative social research
Recursive Systems
Reduced Form Equations
Robert H. Strotz
Robert L. Linn
Robert Mason
Sewall Wright
Simple Causal Chains
Standardized Path Coefficients
statistical inference
Structural Equation Models
theory operationalization
Theta Delta
Tjalling C. Koopmans
Unmeasured Variables
Unstandardized Regression Coefficients
variables
Vice Versa
Product details
- ISBN 9781138520134
- Weight: 1010g
- Dimensions: 152 x 229mm
- Publication Date: 02 Aug 2017
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Hardback
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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. H. M. Blalock, Jr. summarizes the then-current developments in causal model utilization in sociology, political science, economics, and other disciplines. This book provides a comprehensive multidisciplinary picture of the work on causal models. It seeks to address the problem of measurement in the social sciences and to link theory and research through the development of causal models.Organized into five sections (Simple Recursive Models, Path Analysis, Simultaneous Equations Techniques, The Causal Approach to Measurement Error, and Other Complications), this volume contains twenty-seven articles (eight of which were specially commissioned). Each section begins with an introduction explaining the concepts to be covered in the section and links them to the larger subject. It provides a general overview of the theory and application of causal modeling.Blalock argues for the development of theoretical models that can be operationalized and provide verifiable predictions. Many of the discussions of this subject that occur in other literature are too technical for most social scientists and other scholars who lack a strong background in mathematics. This book attempts to integrate a few of the less technical papers written by econometricians such as Koopmans, Wold, Strotz, and Fisher with discussions of causal approaches in the social and biological sciences. This classic text by Blalock is a valuable source of material for those interested in the issue of measurement in the social sciences and the construction of mathematical models.
