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Quantitative Data Analysis with Minitab: A Guide for Social Scientists
Contributor(s): Bryman, Alan (Author), Cramer, Duncan (Author)

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 ISBN: 0415123240     ISBN-13: 9780415123242
Publisher: Routledge
OUR PRICE: $57.70  

Binding Type: Paperback - See All Available Formats & Editions
Published: June 1996
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Temporarily out of stock - Will ship within 2 to 5 weeks

Annotation: "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.

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Additional Information
BISAC Categories:
- Social Science | Methodology
- Psychology
Dewey: 300.151
LCCN: 95044812
Series: Guide for Social Scientists
Physical Information: 0.66" H x 6.2" W x 9.3" L (0.88 lbs) 302 pages
Features: Bibliography, Illustrated, Index
 
Descriptions, Reviews, Etc.
Publisher Description:

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.
 
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