Quantitative data analysis for social scientists - Info and Reading Options
By Alan Bryman
"Quantitative data analysis for social scientists" was published by Routledge in 1995 - London, it has 294 pages and the language of the book is English.
“Quantitative data analysis for social scientists” Metadata:
- Title: ➤ Quantitative data analysis for social scientists
- Author: Alan Bryman
- Language: English
- Number of Pages: 294
- Publisher: Routledge
- Publish Date: 1995
- Publish Location: London
“Quantitative data analysis for social scientists” Subjects and Themes:
- Subjects: ➤ Analysis of variance - Computer programs - SPSS (Computer file) - Social sciences - Sciences sociales - SPSS/PC+ - SPSS/PC - Service des Sociétés Secrètes - SPSS (Logiciel) - Data-analyse - SPSS-X - Datenauswertung - Software - Sciences sociales - Méthodes statistiques - Logiciels - Sozialwissenschaften - Méthodes statistiques - SPSS - Analyse de variance - Logiciels - Social sciences, data processing - Spss (computer program) - Data processing - SPSS/PC Plus (Computer system) - SPSS X
Edition Specifications:
- Pagination: xiv, 294 p. :
Edition Identifiers:
- The Open Library ID: OL1434366M - OL1978435W
- Online Computer Library Center (OCLC) ID: 502568721 - 59808837
- Library of Congress Control Number (LCCN): 93046222
- ISBN-10: 0415113075
- All ISBNs: 0415113075
AI-generated Review of “Quantitative data analysis for social scientists”:
"Quantitative data analysis for social scientists" Description:
The Open Library:
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.
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