Making Sense of Statistical Methods in Social Research

Dr Keming Yang is currently an Associate Professor of Sociology at University of Durham in the UK. He was born and grew up in the city of Tianjin, People's Republic of China. He studied sociology at Nankai University and worked there for three years before going to study for a PhD at Columbia University in the US. His first job after receiving the PhD was at National University of Singapore. He then took a position at University of Reading in the UK and moved to the current position at Durham. His first research area is the political and economic sociology of entrepreneurship in China, in which he published two books, Entrepreneurship in China and Capitalists in Communist China, and some articles. Since working at University of Durham, he has been working on the issue of loneliness from a sociological perspective. He is the author of Loneliness: A Social Problem and many articles on this topic. He also has research interest in research methods in the social sciences, and he is the author of Making Sense of Statistics in Social Research and the editor of Categorical Data Analysis.

The Position of Statistical Methods in Social Research Introduction The Use of Statistical Methods in Social Research Cases and Variables The Logic of Sampling Estimating and Measuring One Important Thing Studying the Relationship between Two Variables Linear Regression Models and Their Generalizations Time Matters Statistical Case-Oriented Methods Methods for Analyzing Latent Variables Causal Analysis

This book is an enjoyable read and helps unlock the potential of statistics to many of us who many have avoided them due to fear Annika Coughlin SRA: Reviews