Quantitative Analysis through SPSS
Introduction to SPSS
- Windows, Menu, Status bar
- Dialogue box, sub-dialogue box
- Variable names, variable labels
- Basic steps in data analysis
Data Files and Editor
- Opening a SPSS and external data file and options
- Saving a files and options
- Data view, Variable view, entering data, editing data
- Go to case, Case selection
- Data preparations, transformation and file handling
Defining variables and its properties
- Computing variables, functions, missing values, recording values
- Sort, transport, merge, aggregate data, split file, select cases, weight cases
- Output viewer, output export, saving output
Working with command syntax
- Syntax rules
- Editing syntax
- Multiple execute commands
Frequencies , Descriptive, Explore, Crosstabs
- Frequencies statistics, charts and formats
- Descriptive and options
- Explore statistics, plots and options
- Crosstabs layers, statistics and format
- Summarize options and statistics
Statistical analysis in SPSS
- Means and options
- Factor analysis
- Cluster analysis
- T- tests, paired t-tests, one sample t-test
- Bivariate and partial correlations
- Linear regression (simple and multiple)
- Logistic regression (predictive modeling
- Principal Components, Factor, and Cluster Analysis
Quantitative Analysis through STATA
- Data Management
- Graphs
- Histograms
- Scatterplots
- Line plots
- Box plot
- Pie Charts
- Bar Charts
- Dot Plots
- Summary Statistics and Tables
- ANOVA and other Comparison Methods
- Linear Regression Analysis
- Regression Diagnostic
- Fitting Curves
- Robust Regression
- Logistic Regression
- Principal Components, Factor, and Cluster Analysis
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