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.
Table of Contents
Preface. Data Analysis and the Research Process. Analysing Data with Computers: First Steps with Minitab. Analysing Data with Computers: Further Steps with Minitab. Concepts and their Measurement. Summarising Data. Sampling and Statistical Significance. Bivariate Analysis: Exploring Differences between Scores on Two Variables. Bivariate Analysis: Exploring Relationships between Two Variables. Multivariate Analysis: Exploring Differences among Three or more Variables. Multivariate Analysis: Exploring Relationships among Three or More Variables. Aggregating Variables: Exploratory Factor Analysis. Appendices. Answers to Questions. Bibliography. Index
The book contains some excellent discussion of statistics and research methodology alongside the operation of the tests, thus providing a completely equation free introduction to some fairly hair-raising statistics. - British Psychological Society
The book presents quantitative analysis of data in a way that is acceptable to all and leads the reader through the often feared statistical analysis in a careful, competent manner. It should be included in libraries of both colleges and universities as well as recommended to all students attempting data analysis. An exceptionally clear and instructive book. - Computer Education
`This book is refreshingly different. It is a must for social science students and personnel professionals intending to undertake serious research in organisations.' - Journal of Occupational and Organisational Psychology (on the SPSS version)
`I have looked at a number of books which combine the teaching of statistics with the teaching of a computer package. This is by far and away the best - clear, very readable.' - Paul Webley, University of Exeter (on the SPSS version)