Quantitative Data Analysis with Minitab: A Guide to Social Scientists
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 Minitabexplains 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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first steps with Minitab
further steps with Minitab
Concepts and their measurement
Sampling and statistical significance
exploring differences among three
exploring relationships among three
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analysis of variance ANOVA autonom boxplot brief 1 output Calc calculated causal cell cent Chapter chi-square value command MTB components computed concept contingency table correlation coefficient covariate degrees of freedom depression dialog box difference display effect error ethnicgp example experimental factor analysis Figure frequency table gender Select histogram income independent variables indicators interaction interval variables job satisfaction Job Survey data Manip mean measure median menu action menu procedure menu system Minitab for Windows normal distribution OK The output option ordinal variables outcomes output comparing patpost patpre Pearson's percentage population probability prompt system random rated quality recode regression coefficients regression equation relationship researcher routine sample satis satisl scatter diagram scores Select box Select OK Select this puts significance level skill standard deviation statistical significance STDEV SUBC subcommand subjects treat treatment two-tailed unrelated women Worksheet