You are here

Dynamic Analysis in the Social Sciences

Publisher: 
Academic Press
Number of Pages: 
377
Price: 
75.95
ISBN: 
978-0-12-088485-8
Date Received: 
Wednesday, December 26, 2007
Reviewable: 
No
Include In BLL Rating: 
No
Reviewer Email Address: 
Emilio J. Castilla
Publication Date: 
2007
Format: 
Hardcover
Audience: 
Category: 
Textbook

Acknowledgments
List of Tables
List of Figures and Graphs
Chapter 1. Longitudinal Data
Some Basic Concepts and Terminology
Main Types of Variables
Univariate and Bivariate Statistics
First Example of a Longitudinal Data Set
Reading A Data Set into SPSS or Stata
Longitudinal Data
Types of Longitudinal Variables
Causes and Causal Relationships
Longitudinal Analysis: Definition and Types
Why Longitudinal Analysis?
Longitudinal Analysis of Qualitative Variables
Longitudinal Analysis of Quantitative Variables
Organization and Characteristics of the Book
What You Need to Know
Chapter 2. Longitudinal Analysis of Quantitative Variables
A Practical Example
Multiple Regression Model with Panel Data
Limitations of the OLS Regression Model with Panel Data
Models for the Analyses of Panel Data
Constant Coefficients Model
Heteroskedastic Models
Autoregressive Models
Models with the Lagged Dependent Variable
Models with Instrumental Variables
The Basic ARIMA Models
Fixed Effects Model
Random Effects Model
Structural Equations Modeling
There Is Still More
Chapter 3. Event History Analysis
Event History Data
A Practical Example
Basic Methodology for the Analysis of Events
Dynamic Methodology for the Analysis of Events
Fundamentals of EHA: The Hazard Rate
Exploratory Analysis of Events
Life Tables
The Kaplan-Meier Estimators
Comparing Groups over Time
Explanatory or Multivariate Analysis of Events
Proportional Hazard Rate Models
Estimation of the Proportional Hazard Rate Models
Accelerated Failure Time Models
Choosing among Different Proportional Models
Testing the Proportional Hazard Rates Assumption
Non-Proportional Hazard Rate Models
Piecewise Exponential Models
EHA and Some Statistical Software Programs
An Example
Possible Complications of EHA
Chapter 4. Designing a Study with Longitudinal Data
Writing a Research Paper: The Different Elements
The Introduction
Theory and Hypotheses
Longitudinal Data
Methodology for Data Analysis
Results 298
Discussion of Results
Conclusion
Bibliography and References
Abstract of a Study
Final Recommendations for Writing your Research Paper
Preparing the Research Paper for Publication
Chapter 5. Two Applications of Longitudinal Analysis
PAPER 1. Social Networks and Employee Performance
Abstract
Introduction
About This Study
Better Match Implies Better Performance at Hire
Better Performance Trajectories
Post-Hire Interdependence in Performance
Research Setting
Recruitment
Training
Turnover and Performance
Measuring Tenure and Employee Performance
Independent Variables
Methodology
Training and Initial Performance Models
Performance Growth Models
Results 358
Training and Initial Performance
Performance Trajectory
Interdependence at Work
Discussion of Results
Future Research
Conclusion
References
Appendix. Dynamic Heckman Models
PAPER 2. Institutional Aspects of National Science Activity
Abstract
Institutional Aspects of National Scientific Activities
The International Council of Scientific Unions
Hypotheses
Development arguments
Institutional arguments
Description of the Data
Measures and Concepts
Exploratory Analysis
Multivariate Models
Selection of Multivariate Models
Discussion of Results
Conclusion
References
List of References (with Comments)
Basic Data Analysis
Longitudinal Data
Applications of Basic Data Analysis in the Social Sciences
Longitudinal Analyses of Quantitative Variables
Applications of Longitudinal Analysis of Quantitative Variables
Event History Analysis
Applications of Event History Analysis
On Writing and Publishing Research Papers To Learn About Statistical Software Programs

Publish Book: 
Modify Date: 
Wednesday, December 26, 2007

Dummy View - NOT TO BE DELETED