English | Size: 12.55 GB
Genre: eLearning
What you’ll 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)
Who this course is for:
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
nitro.download/view/48E293D1EA67F60/SPSSForResearch.part01.rar
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