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Tutorial SPSS

1. Tutorial: Getting Started with IBM SPSS Statistics 30 Target Audience: Master's students in Quantitative Research IBM SPSS helps with data analysis, visualization, and statistical modeling. File types: .sav, .xls, .csv, .txt

2. Opening a Data File 1. File > Open > Data... 2. Choose file type (.sav, .xlsx) 3. Select dataset (e.g., demo.sav) 4. Click Open Tip: Use View > Value Labels to show descriptive labels.

3. Reading Data from Excel or Text File For Excel: 1. File > Import Data > Excel 2. Tick 'Read variable names from first row' 3. Remove leading spaces 4. Click OK For Text: 1. File > Import Data > Text Data 2. Choose delimiter type 3. Specify variable names 4. Click Finish

4. Using the Data Editor Data View: Rows = Cases, Columns = Variables Variable View: Rows = Variable details You can: - Add variable labels - Change variable type - Assign value labels - Define missing values

5. Descriptive Analysis (Frequencies) 1. Analyze > Descriptive Statistics > Frequencies 2. Move variable(s) to analysis box 3. Click OK Output: Frequency tables for gender, income, etc.

6. Creating Charts 1. Graphs > Chart Builder... 2. Choose chart type (Bar, Pie, Histogram) 3. Drag variables to X and Y axes 4. Click OK Example: Bar chart of Job Satisfaction vs Income

7. Working with Output (Viewer Window) Viewer Window: - Left panel = Outline - Right panel = Tables/Charts You can: - Hide/show output - Edit charts/tables - Reorder items

8. Exporting Results 1. In Viewer: File > Export... 2. Choose format: Word, PowerPoint, Excel, PDF 3. Select All or Selected Objects 4. Click OK

9. Working with Syntax Purpose: Automate and repeat analyses To create syntax: 1. Run analysis > Paste 2. Syntax window opens 3. Run > Selection Useful for reproducibility.

10. Data Transformation Compute Variable: - Transform > Compute Variable... Example: jobstart = age - employ Recode Variable: - Transform > Visual Binning... Date & Time: - Transform > Date and Time Wizard...

11. Summary You learned to: - Import and edit datasets - Run descriptive analysis - Create charts - Export results - Use syntax and transformations Next: Explore correlation, regression, and ANOVA.

12. References IBM SPSS Statistics 30 Brief Guide (IBM Corp, 2023) UiTM Quantitative Research Training Notes