SPSS For Research

SPSS data analysis made easy. Become an expert in advanced statistical analysis with SPSS.

Created by: Bogdan Anastasiei
University Teacher and Consultant

What Will I Learn?

• 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, between-subjects ANOVA, repeated measures ANOVA, nonparametric tests (Mann-Whitney, Wilcoxon, Kruskal-Wallis etc.)
• perform the regression analysis (simple and multiple regression, sequential regression, logistic regression)
• compute and interpret various tyes of reliability indicators (Cronbach's alpha, Cohen's kappa, Kendall's W)
• use the data reduction techniques (multidimensional scaling, principal component analysis, correspondence analysis)
• use the main grouping techniques (cluster analysis, discriminant analysis)

Requirements

• the SPSS package (version 18 or newer recommended)
• very basic knowledge of statistics (mean, standard deviation, confidence interval, significance level, things like that)

Target audience

• students
• PhD candidates
• academic researchers
• business researchers
• University teachers
• anyone looking for a job in the statistical analysis field
• anyone who is passionate about quantitative research