Hans-Jürgen Andreß Books

Cross-National Comparative Research is concerned with observing social phenomena across countries, and with developing explanations for their similarities and differences. This Special Issue focuses on the use of Cross-National Comparative Research to study the effects of national and sub-national contexts on behaviors and attitudes of individual actors. Moreover, it is of interest how behaviors and attitudes at the individual level lead to national and sub-national outcomes at the meso and macro levels. How do immigration policies affect migrants’ well-being? Does the number of divorcees in a country influence individual divorce risks? Are human values universal, or do they vary from one country to another? Under which conditions is political protest triggered, and when does it lead to revolutionary changes within society? These and other questions are typical of cross-national comparative analyses that seek to ascertain how upper-level (macro, meso) contexts influence micro-levelphenomena, and how outcomes at the individual level are once more reflected at the meso and macro levels. Prof. Dr. Hans-Jürgen Andreß, Prof. Dr. Detlef Fetchenhauer and Prof. Dr. Heiner Meulemann teach sociology and social psychology at the University in Cologne, Germany.

Many economic and social surveys are designed as panel studies, which provide important data for describing social changes and testing causal relations between social phenomena. This textbook shows how to manage, describe, and model these kinds of data. It presents models for continuous and categorical dependent variables, focusing either on the level of these variables at different points in time or on their change over time. It covers fixed and random effects models, models for change scores and event history models. All statistical methods are explained in an application-centered style using research examples from scholarly journals, which can be replicated by the reader through data provided on the accompanying website. As all models are compared to each other, it provides valuable assistance with choosing the right model in applied research. The textbook is directed at master and doctoral students as well as applied researchers in the social sciences, psychology, business administration and economics. Readers should be familiar with linear regression and have a good understanding of ordinary least squares estimation.