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SPPS COURSE: Statistical Package for Conducting Research and Data Analysis 

Take away from this workshop:

•    Perform simple operations with data: define variables, recode variables, create dummy variables, select and weight cases, split files.
•    Built the most useful charts in SPSS: column charts, line charts, scatterplot charts, boxplot diagrams.
•    Perform the basic data analysis procedures: Frequencies, Descriptives, Explore, Means, Crosstabs.
•    Test the hypothesis of normality (with numeric and graphic methods.)
•    Detect the outliers in a data series (with numeric and graphic methods.)
•    Transform variables.
•    Perform the main one-sample analyses: one-sample t test, binomial test, chi square for goodness of fit.
•    Perform the tests of association: Pearson and Spearman correlation, partial correlation, chi square test for association, loglinear analysis.
•    Execute the analyses for means comparison: t test, ANOVA, repeated measures ANOVA, nonparametric tests (Mann-Whitney, Wilcoxon, Kruskal-Wallis etc.)
•    Perform the regression analysis. (simple and multiple Regression, Sequential Regression, Logistic Regression)
•    Use the data reduction techniques. (Multidimensional Scaling, Principal Component Analysis, Correspondence Analysis)
•    Use the main grouping techniques (cluster analysis, discriminant analysis)

Sessions are valuable for All PROFESSORS , Entrepreneurs, Students Professionals, Teachers & Educators from all fraternities at all levels.

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