Quantitative Data Analysis for Social Scientists

TLDR

Statistical analysis introductions focus on complex formulae that many students find daunting, though computers now perform these calculations quickly. The book aims to provide a non‑technical guide for social scientists, teaching them to use SPSS for quantitative data analysis. It teaches SPSS through step‑by‑step tutorials, data sets, and end‑of‑chapter exercises, assuming no prior statistics or computing knowledge.

Abstract

From the Publisher: Most introductions to the techniques of statistical analysis concentrate on the often complex statistical formulae involved. Many students find these formulae extremely daunting, yet in practice computers are increasingly used to perform the same calculations in seconds. Quantitative Data Analysis for Social Scientists is designed as a non-technical guide, ignoring the traditional formulaic methods and introducing students to the most widely used computer package for analysing quantitative data. This is the Statistical Package for the Social Sciences (SPSS), whose most recently released versions (for both mainframe computers and IBM-compatible personal computers) are here employed. The authors have assumed no previous familiarity with either statistics or computing, and take the reader step-by-step through each of the techniques for which SPSS can be used. Each technique is illustrated by sets of data through which the reader can work, and tested again at the end of each chapter. Answers to the exercises are provided at the end of the book. Designed specifically for social scientists, the book will be essential reading for psychology, sociology, social policy and history students following courses in statistics, data analysis or research methods.