Data Analysis - Introduction to SPSS.pptx

This is about spss and data analysis for beginers

1. INTRODUCTION TO SPSS Anne Pathiranage

2. Lecture outline… Background Research startup Analysis Presentation Interpretation

3. Research Steps

4. Purpose of data analysis To answer the research questions To determine the trends and relationships among the data. To understand the behaviour To derive several insights

5. Steps in Data Analysis Before Data Collection :  the researcher should accomplish the following Define the question Determine the method of data analysis Determine how to process the data Consult a statistician Prepare tables After Data Collection Process the data Prepare tables and graphs Analyze and interpret findings Consult again the statistician Prepare for presentation

6. Types of Analysis Quantitative Data Analysis Qualitative Data Analysis Mix Method

7. Quantitative Data Analysis Descriptive Analysis Eg : Frequency distribution, Measure of Central tendency , Measures of Variability Inferential Analysis Eg : level of significance, t-test

8. What is SPSS? Originally it is an acronym “ Statistical Package for the Social Sciences ” but now it stands for Statistical Product and Service Solutions.

9. History… SPSS has a long heritage Introduced in 1968. Was originally developed to facilitate statistical analysis in the social sciences. Early versions designed to run on mainframe computers. On July 28, 2009 IBM announced it was acquiring SPSS Inc. for $ 1.2 billion in cash The current versions are officially named IBM SPSS Statistics.

10. Translate the Questionnaire into SPSS Questions in the questionnaire are mapped into variables in SPSS!

11. Basic Operations in SPSS (Basic Steps In Data Analysis) Variable Entry (adding or deleting a variable) Data Entry (adding or deleting the data) Saving the data Importing data from Excel file Checking the data entered Sorting the data Transforming the data

12. Reading (opening) the Data Set Data can be obtained in several formats: • SPSS files • Spreadsheet - Excel, Lotus • Database - dbase, paradox • Files from other statistical programs • ASCII text • Complex database formats

13. In SPSS, go to FILE/OPEN Click on the button “Files of Type” Select the option “SPSS (*.sav)” Click on "Open.”

14. Reading Data from Spreadsheet Formats

15. The Four Windows Data Editor Output Viewer Syntax editor Script Window

16. Learn with practice Gender Occupation The occupation is good Height Male Teacher Strongly agreed 5.4 Female Doctor Neutral 5.3 Male Teacher Agreed 5.6 Male Teacher Strongly agreed 5.7 Female Accountant Disagree 5.7 Male Doctor Strongly disagree 6

17. Data Editor

18. Output Viewer

19. Syntax Editor

20. Script Window

21. Opening SPSS Data View and Variable View

22. Defining Variables in SPSS

23. Entering Data to SPSS

24. Enter Data

25. Variable View Window : Name

26. Variable View window: Type

27. Variable View window: Width

28. Variable View window: Decimals

29. Variable View window: Label

30. Variable View window: Values

31. Defining the Value Labels

32. Measures

33. Saving the Data

34. Sorting Data

35. Inserting or Deleting Single Cases

36. Inserting or Deleting Single Variables

37. Importing file from excel

38. In Class Test

39. 4. Enter data for the following cases case 1 is a member with 3 years membership with an expense of 5600.50 case 2 8 years member with 10500.32 case 3 not a member but visit the place for 3 years and spent 7590.57 case 4 4 years membership with a spending of 5700 case 5 not a member, but visited for 1 year and no spending Add another 5 records randomly 5 . Save your data set and upload to the n-learn