Franklin

Using propensity scores in quasi-experimental designs [electronic resource] / William M. Holmes.

Author/Creator:
Holmes, William M., author.
Publication:
Los Angeles : SAGE, [2014]
Format/Description:
Book
1 online resource (340 pages) : illustrations
Subjects:
Statistical decision.
Experimental design.
Summary:
Using an accessible approach perfect for social and behavioral science students (requiring minimal use of matrix and vector algebra), Holmes examines how propensity scores can be used to both reduce bias with different kinds of quasi-experimental designs and fix or improve broken experiments. This unique book covers the causal assumptions of propensity score estimates and their many uses, linking these uses with analysis appropriate for different designs. Thorough coverage of bias assessment, propensity score estimation, and estimate improvement is provided, along with graphical and statistical methods for this process. Applications are included for analysis of variance and covariance, maximum likelihood and logistic regression, two-stage least squares, generalized linear regression, and general estimation equations. The examples use public data sets that have policy and programmatic relevance across a variety of social and behavioral science disciplines.
Contents:
Preface
Approach of the book
chapter 1. Quasi-experiments and nonequivalent groups
chapter 2. Causal inference using control variables
chapter 3. Causal inference using counterfactual designs
chapter 4. Propensity approaches of quasi-experiments
chapter 5. Propensity matching
chapter 6. Propensity score optimized matching
chapter 7. Propensities and weighted least squares regression
chapter 8. Propensities and covariate controls
chapter 9. Use with generalized linear models
chapter 10. Propensity with correlated samples
chapter 11. Handling missing data
chapter 12. Repairing broken experiments
A. STATA commands for propensity use
B. R commands for propensity use
SPSS commands for propensity use
SAS commands for propensity use
References
Index.
Notes:
Includes bibliographical references (pages 320-326) and index.
Description based on MARC record for print version.
Other format:
Print version:
Print version:
Print version:
Print version:
ISBN:
9781452270098 (ebook) :
OCLC:
983475629
Access Restriction:
Restricted for use by site license.
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