The Secondary Analysis of Survey Data

by Martin Bulmer

• ISBN13: 9781412903844
• ISBN10: 141290384X
• Edition: 1st
• Format: Hardcover
• Copyright: 2009-03-12
• Publisher: Sage Publications Ltd

Summary

This four-volume collection brings together the key publications on the secondary analysis of data and embraces many aspects of how to analyze quantitative survey data, whether primary or secondary. As secondary analysis, defined as use of data that was collected by individuals other than the investigator, is often a starting point for other social science research methods, this set will be a critical resource for researchers across the social sciences.

Table of Contents

Issues in the Analysis of Survey Data

Introduction to the four volumes

Introduction to Volume One of the set

Secondary Analysis and Sharing Data Using social science data archives

An introduction to secondary analysis

Sharing research data in the social sciences

Toward cumulative knowledge: theoretical and methodological issues

Issues in Research Design Some observations on study design

Durkheim's SUICIDE and the problems of empirical research

Longitudinal v cross-sectional methods for behavioural research: a first round knock-out

Causality and Causal Order Some statistical aspects of causality

The quantitative analysis of large-scale data-sets and rational action theory: for a sociological alliance

Rethinking Causality

Causality: production and propagation

Causal order

Elaboration Test factor standardization as a method of interpretation

Attitudes, behavior and the intervening variables

The logical structure of suppressor variables

Elaborating the association between variables

Analytic Issues Ecological correlations and the behavior of individuals.

Replication, replication

Quality issues with survey research

Divorce effects' and causality in the social sciences

Measurement and Inference Issues in Survey Measurement On the theory of scales of measurement

Factor scaling, external consistency and the measurement of theoretical constructs

A simple theory of the survey response: Answering questions versus revealing preferences.

Samples, Inference and Error History and development of the theoretical foundations of survey based estimation and analysis

Variance estimation for complex estimators in sample surveys

A 'super-population viewpoint' for finite population sampling

Statistics and causal inference

Weighting methods

Sampling weights and regression analysis

Inference under Complex Sample Designs Inference with survey weights

Inference from complex samples

Analysing complex survey data: Clustering, stratification and weights

Missing data in large surveys

Analyzing incomplete political science data: An alternative algorithm for multiple imputation

Summarizing and Modelling Survey Data Exploratory Data Analysis

Summarizing distributions

How to display data badly

Cluster analysis

Correspondence Analysis: Graphical Representation of Categorical Data in Marketing Research

Linear and Non-linear Regression The moderator-mediator variable distinction in social psychological research: Conceptual, strategic and statistical considerations

In defense of multiplicative terms in multiple regression equations

How Not to Lie with Statistics: Avoiding Common Mistakes in Quantitative Political Science

A Tutorial in Logistic Regression

Loglinear Models: A Way to Study Main Effects and Interactions for Multidimensional Contingency Tables With Categorical Data

Latent Variable Models Latent variables

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