Dynamic Analysis in the Social Sciences / Edition 1

by Emilio J. Castilla

Overview

The study of social dynamics using quantitative methodology is complex and calls for cutting-edge technical and methodological approaches in social science research. This book presents the existing statistical models and methods available for understanding social change over time. It provides step-by-step instructions for designing and conducting longitudinal research, with special focus on the longitudinal analysis of both quantitative outcomes (for the modeling of change in continuous variables) and qualitative outcomes (for the modeling of events occurring over time). Readers will learn how to study change in variables over time and how to formulate and estimate multivariate longitudinal models to predict such change, mainly using cross-sectional, cross-time and event history analyzes. This text also teaches how to design and implement a study using longitudinal data from the selection and collection of appropriate variables to the most effective ways to analyze and present data for publication in top social science journals.

Product Details

ISBN-13:	9780120884858
Publisher:	Emerald Group Publishing Limited
Publication date:	12/18/2007
Edition description:	New Edition
Pages:	402
Product dimensions:	5.98(w) x 9.02(h) x 1.14(d)

Table of Contents

List of Tables     xi
List of Figures and Graphs     xiii
Preface     xv
Acknowledgments     xvii
Author Biography     xxi
Longitudinal Data     1
Some Basic Concepts and Terminology     3
Main Types of Variables     4
Univariate and Bivariate Statistics     6
First Example of a Longitudinal Data Set     12
Reading a Data Set into SPSS or Stata     16
Longitudinal Data     19
Types of Longitudinal Variables     26
Causes and Causal Relationships     27
Longitudinal Analysis: Definition and Types     30
Why Longitudinal Analysis?     32
Longitudinal Analysis of Qualitative Variables     35
Longitudinal Analysis of Quantitative Variables     37
Organization and Characteristics of the Book     38
What You Need to Know     40
Longitudinal Analysis of Quantitative Variables     43
A Practical Example     44
Multiple Regression Model with Panel Data     49
Limitations of the OLS Regression Model with Panel Data     58
Models for the Analyses of Panel Data     62
Constant Coefficients Model     64
Heteroskedastic Models     67
Autoregressive Models     77
Models with the Lagged Dependent Variable     87
Models with Instrumental Variables     89
The Basic ARIMA Models     91
Fixed Effects Model     97
Random Effects Model     108
Structural Equations Modeling     115
There Is Still More     129
Event History Analysis     135
Event History Data     137
A Practical Example     144
Basic Methodology for the Analysis of Events     151
Dynamic Methodology for the Analysis of Events     162
Fundamentals of EHA: The Hazard Rate     165
Exploratory Analysis of Events     170
Life Tables     171
The Kaplan-Meier Estimators     179
Comparing Groups over Time     184
Explanatory or Multivariate Analysis of Events     191
Proportional Hazard Rate Models     192
Estimation of the Proportional Hazard Rate Models     200
Accelerated Failure Time Models     210
Choosing among Different Proportional Models     211
Testing the Proportional Hazard Rates Assumption     216
Non-Proportional Hazard Rate Models     219
Piecewise Exponential Models     228
EHA and Some Statistical Software Programs     231
An Example     233
More About EHA     238
Designing a Study with Longitudinal Data     241
Writing a Research Paper: The Different Elements     242
The Introduction     244
Theory and Hypotheses     245
Longitudinal Data     249
Methodology for Data Analysis     252
Results     259
Discussion of Results     273
Conclusion     275
Bibliography and References     278
Abstract of a Study     278
Final Recommendations for Writing a Research Paper     280
Preparing a Research Paper for Publication     283
Two Applications of Longitudinal Analysis     285
Social Networks and Employee Performance (Paper 1)     287
Introduction     287
Hypotheses     289
Research Setting     294
Methods     300
Results     304
Discussion and Conclusion     317
Acknowledgments     320
References     321
Institutional Aspects of National Science Activity (Paper 2)     324
Introduction     324
The International Council of Scientific Unions     326
Hypotheses     327
Description of the Data     330
Exploratory Analysis     334
Multivariate Models     339
Discussion of Results     344
Conclusion     349
Acknowledgments     350
References     350
List of References (with Comments)     353
Basic Data Analysis     353
Longitudinal Data     355
Applications of Basic Data Analysis in the Social Sciences     356
Longitudinal Analyses of Quantitative Variables     358
Applications of Longitudinal Analysis of Quantitative Variables     361
Event History Analysis     362
Applications of Event History Analysis     365
On Writing and Publishing Research Papers     366
To Learn About Statistical Software Programs     367
Other Chapter References     368
Index     371