SPSS
SPSS offers a user-friendly interface and a robust set of features in analyzing data. Learn about basic data preparation and management in SPSS, descriptive statistics, and common statistical analysis (T-test, ANOVA, Chi square tests, correlation, linear regression and logistic regression).
- Basic fundamentals of SPSS
- Data preparation and Entry
- Importing data from Excel to SPSS
- Data coding & Labeling
- File split & merging
- Descriptive Statistics
- Frequencies
- Descriptives
- Cross tabs
- Custom tables
- Charts & Graphs
- Data management
- Cronbach Alpha
- KMO tests
- Factor Analysis
- Transformation of data (Recoding into same & different variables)
- Charts & Graphs
- Compare means
- One-sample t-test
- Independent-samples t-test
- Paired samples t-test
- One-way ANOVA
- Linear Regression and correlation
- Pearson correlation & Interpretation
- Linear regression & Interpretation
- Advanced Regression
- Chi square tests
- Man Whitney U-test
- Kruskal Wallis H-test
- Binary logistic regression
- Multinomial logistic regression
- Probit model