Introduction to SPSS


The SPSS environment
  • Data Editor
  • Viewer and draft viewer.
  • Pivot Table editor.
  • Chart Editor.
  • Text Output Editor.
  • Editor.
  • Script Editor.
Preparation of Data File
  • Defining Variables.
  • Labelling – Variables and Values.
  • Variables Types.
  • Missing Values.
  • Column Format.
  • Measurement Levels.
  • Applying and attributes to Variables.
Data Screening and Transformation.
  • Errors in data entry.
  • Assessing Normality.
  • Assessing normality in groups.
  • Variable transformation.
  • Data Transformation- Code and compute.
  • Data Selection.

Descriptive Statistics.
  • Frequency distribution.
  • Central Tendency.
  • Variability.
  • Commands.
Formatting
  • Format Visualization
  • Size, Shapes, Details, Tooltips
  • Labels, Annotations
  • Titles, Captions
  • Legends, Highlight
Correlation.
  • Assumption Testing
T-Test
  • Assumption Testing.
  • One Sample- T test.
  • Independent Group T-test.
  • Repeated measure T-Test.
  • One-way between-groups ANOVA with POST-HOC Comparison.
  • Two-way repeated measures ANOA.
  • Trend Analysis.
  • Multiple Regression.
  • Non-parametric Technique.
  • Analysing data with SPSS.
  • Working with Output.
  • Projects.

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Course Details

Advance Stats with SPSS
The SPSS environment
Preparation of Data File
Data Screening and Transformation.
Descriptive Statistics and T-Test

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Important Dates

12
Aug

Online Instructor Led + Classroom (at Gurgaon) program

3:00pm to 6:00pm

12
Aug

Online Instructor Led + Classroom (at Gurgaon) program

3:00pm to 6:00pm

12
Aug

Online Instructor Led + Classroom (at Gurgaon) program

3:00pm to 6:00pm

12
Aug

Online Instructor Led + Classroom (at Gurgaon) program

3:00pm to 6:00pm

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