Social Science Data Analysis: An Introduction

Contents
1 Preface to the New Edition
	Anchor 2
	References
2 On the Task of Empirical Social Research and Data Analysis in the Sociological Research Process
	References
3 On the Data Situation: Own Data Collection or Secondary Analysis
	References
4 The First Steps of Data Analysis: Preparation, Data Description and Bivariate Relationships
	4.1	“A Long and Winding Road”—On the Difficulties of Data Preparation
	4.2	On Describing Data: Tables
	4.3	Distributions: Graphs and Measures
	4.4	Measures: All for One, One for All?
	4.5	Measures of Dispersion: “Birds of a Feather Flock Together”?
	4.6	Measures of Association
	4.7	Afterword
	References
5 Significance Test
	5.1	Basic Terms
	5.2	Statistical Hypotheses
	5.3	Types of Errors and Significance Level
	5.4	Step by Step using the Example of a Correlation Hypothesis
	5.5	Step by Step using the Example of a Difference Hypothesis
	5.6	Which Test Fits my Project?
	5.7	Effect Size
	5.8	Statistical Power
	5.9	The P-Value
	5.10	The Relationship of Hypothesis Testing to Confidence Intervals
	5.11	Afterword
	References
6 Linear Regression
	6.1	Basic Logic of Bivariate Regression
	6.2	Bivariate Regression: An Example from Practice
	6.3	“You’ll Never Walk Alone”—Multivariate Regression
	6.4	Dummy Variables
	6.5	Same Results—Different Presentations
	6.6	Afterword: a Small to-do List
	References
7 On the Logic of Data Analysis: Which Evaluation Strategy Fits Best to My Research Question?
	7.1	The Empirical Example
	7.2	The Gross-Net Model
	7.3	The Mediation Analysis
	7.4	The Moderation Analysis
	7.5	Afterword
	References
8 Logistic Regression
	8.1	Two Basic Concepts of Logistic Regression: Odds and Probability
	8.2	How to Interpret the Output of Logistic Regression?
	8.3	Probabilities, Odds, Log Odds and Average Marginal Effects: Guidelines for Result Interpretation
	8.4	An Example: Which Characteristics Influence the Probability of being Non-Denominational?
	8.5	Pitfalls of Logistic Regression
	8.6	Final Remarks
	References
9 An Outlook on Advanced Statistical Analysis Methods
	9.1	Event Data Analysis
	9.2	Hierarchically Structured Data: Multilevel Analysis
	9.3	Causal Analysis with Panel Data
	9.4	Covariance-Based Path and Structural Equation Models
	9.5	Meta-Analyses
	9.6	Afterword
	References