The Secondary Analysis of Survey Data

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ISBN: 9781412903844 | 141290384X
Cover: Hardcover
Copyright: 3/12/2009

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This four-volumeÂ 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.

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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The Secondary Analysis of Survey Data

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