SPSS Tutorial for Data Analysis - SPSS for Beginners

Dive into a comprehensive 2.5-hour tutorial on SPSS for beginners, focusing on data analysis techniques. Learn to perform and interpret various statistical tests, including normality assessment, reliability coefficients, regression analyses, ANOVA, t-tests, and factor analysis. Master essential SPSS functions such as calculating KR20, intraclass coefficients, weighted kappa, and conducting binary, multiple, and multinomial logistic regressions. Explore advanced topics like ANCOVA, chi-square interpretation, Kruskal-Wallis one-way ANOVA, and principal component analysis. Gain practical skills in running and interpreting statistical tests crucial for research and data-driven decision-making across various fields.

) Assessing normality with SPSS .
) Calculating KR20 reliability coefficient in SPSS.
) Intra class coefficient in SPSS.
) Calculating weighted kappa in SPSS.
) Binary logistic regression in SPSS.
) Interpreting Pearson's product moment correlation in SPSS.
) ANCOVA in SPSS.
) Bivariate regression in SPSS.
) Interpreting chi-square in SPSS.
) Two way anova in SPSS.
) Multiple logistic regression in SPSS.
) Kruskal-wallis one way anova in SPSS.
) U-test in SPSS.
) Multinomial logistic regression in SPSS.
) T-test in SPSS.
) Paired sample t-test.
) Interpreting result of principal components analysis.
) Principal axis factoring.
) Running hierarchical binary logistic regression.
) Running ordinal regression.