Quantitative Data Analysis with Minitab : A Guide for Social Scientists

Alan (University of Leicester Bryman

ISBN 10: 0415123240 / ISBN 13: 9780415123242

Published by Taylor & Francis Ltd Jun 1996, 1996

About this Item

Neuware - 'Quantitative Data Analysis with Minitab' explains statistical tests for Minitab users using the same formula-free, non-technical approach as the very successful SPSS version. Students are introduced to the basic commands of the package and shown how quantitative data analysis techniques can be implemented through the latest version of Minitab. Techniques covered include univariate, bivariate and multivariate analysis, with discussion of issues such as sampling, conceptualization and measurement. Each chapter concludes with a set of exercises. Social science students will welcome this integrated, non-mathematical introduction to quantitative data analysis and the Minitab package.

Seller Inventory # 9780415123242

Bibliographic Details

• Title: Quantitative Data Analysis with Minitab : A Guide for Social Scientists
• Publisher: Taylor & Francis Ltd Jun 1996
• Publication Date: 1996
• Language: English
• ISBN 10: 0415123240
• ISBN 13: 9780415123242
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 234W x 156H x 0D millimeters 234 millimeters width by 156 millimeters height by 0 millimeters depth
• Weight: 560 grams

About this title

Synopsis

Quantitative data analysis is now a compulsory component of most degree courses in the social sciences and students are increasingly reliant on computers for the analysis of data. Quantitative Data Analysis with Minitab explains statistical tests for Minitab users using the same formulae free, non technical approach, as the very successful SPPS version.
Students will learn a wide range of quantitative data analysis techniques and become familiar with how these techniques can be implemented through the latest version of Minitab. Techniques covered include univariate analysis (with frequency table, dispersion and histograms), bivariate (with contingency tables correlation, analysis of varience and non-parametric tests) and multivariate analysis (with multiple regression, path analysis, covarience and factor analysis). In addition the book covers issues such as sampling, statistical significance, conceptualisation and measurement and the selection of appropriate tests. Each chapter concludes with a set of exercises.
Social science students will welcome this integrated, non mathematical introduction to quantitative data anlysis and the minitab package.

About the Author

Alan Bryman, Duncan Cramer