Making Sense of Statistical Methods in Social Research (e-bog) af Yang, Keming
Yang, Keming (forfatter)

Making Sense of Statistical Methods in Social Research e-bog

359,43 DKK (inkl. moms 449,29 DKK)
Making Sense of Statistical Methods in Social Research is a critical introduction to the use of statistical methods in social research. It provides a unique approach to statistics that concentrates on helping social researchers think about the conceptual basis for the statistical methods they're using. Whereas other statistical methods books instruct students in how to get through the statist...
E-bog 359,43 DKK
Forfattere Yang, Keming (forfatter)
Udgivet 25 marts 2010
Længde 216 sider
Genrer Social research and statistics
Sprog English
Format pdf
Beskyttelse LCP
ISBN 9781446205594
Making Sense of Statistical Methods in Social Research is a critical introduction to the use of statistical methods in social research. It provides a unique approach to statistics that concentrates on helping social researchers think about the conceptual basis for the statistical methods they're using. Whereas other statistical methods books instruct students in how to get through the statistics-based elements of their chosen course with as little mathematical knowledge as possible, this book aims to improve students statistical literacy, with the ultimate goal of turning them into competent researchers.Making Sense of Statistical Methods in Social Research contains careful discussion of the conceptual foundation of statistical methods, specifying what questions they can, or cannot, answer. The logic of each statistical method or procedure is explained, drawing on the historical development of the method, existing publications that apply the method, and methodological discussions. Statistical techniques and procedures are presented not for the purpose of showing how to produce statistics with certain software packages, but as a way of illuminating the underlying logic behind the symbols. The limited statistical knowledge that students gain from straight forward how-to books makes it very hard for students to move beyond introductory statistics courses to postgraduate study and research. This book should help to bridge this gap.