SPSS For Research

SPSS For Research

SPSS For Research
SPSS For Research, SPSS data analysis made easy. Become an expert in advanced statistical analysis with SPSS.
Created by Bogdan Anastasiei,  English, English [Auto-generated]


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

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