Human Resource Analytics SPSS

1. Human Resource
Analytics (HRA)
Lec-3
Introduction to the SPSS
Interface

2. Contents
• SPSS interface:
• Data view and Variable view
• How to enter data in SPSS
• How to import external data into SPSS
• How to clean and edit data
• How to get descriptive statistics
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https://www.youtube.com/watch?v=_zFBUfZEBWQ

3. What is SPSS?
• Acronym of ‘ Statistical Package for Social Sciences’ or ‘Statistical
product for service solutions’
• Also called ‘PASW’ Predictive Analytics Software.
• It is asoftware used for data analysis in business research.
• Can be used for
• Processing questionnaires
• Reporting in tables and graphs
• Analyzign means, chi-square, regression
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4. Basic Operations in SPSS
• Basic Steps in Data Analysis
• Variable Entry (Adding or deleting variables)
• Data Entry (adding or deleting data)
• Saving the data
• Importing data from excel file
• Checking the data entered
• Sorting the data
• Transforming the date
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5. Variables
• A concept which can take on diferent quantitative values is called a
variable
• For Example
• What are variables you would consider in buying a second hand bike?
• Brand
• Type
• Age
• Condition
• Price
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6. SPSS interface
•Data view
• The place to enter data
• Columns: variables
• Rows: records
•Variable view
• The place to enter variables
• List of all variables
• Characteristics of all variables
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7. 7
Enter data in SPSS directly

8. Example: Hospital-stay data
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9. 9
Columns:
variables
Rows:
cases
Under Data
View

10. Variable Names
1. 1. No Spaces
Use _ ‘underscores’ for spaces
2. Can not begin with a special character ( @ # &)
3. Can not being with a number
Must begin with a letter
4. Each Variable name must be unique
5. 64 characters or less
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11. Enter Variables
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1. Click this
Window
1. Click Variable View
2. Type variable name under
Name column (AGE).
NOTE: Variable name can be 64
bytes long, and the first
character must be a letter or
one of the characters @, #, or
$.
3. Type: Numeric, string, etc.
4. Label: description of
variables.
2. Type variable
name
3. Type:
numeric or
string
4. Description
of variable

12. Enter variables
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Based on your code
book!

13. Enter cases
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14. Import data from Excel
• Select File Open Data
• Choose Excel as file type
• Select the file you want to import
• Then click Open
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15. Open Excel files in SPSS
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16. Continue
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Save this
file as
SPSS data

17. Clean data after import data files
• Run cases summaries for all variables
• Run frequency for qualitative variables and Descriptives
for quantitative variables
• Check outputs to see if you have variables with wrong
values.
• Check missing values and physical surveys if you use
paper surveys, and make sure they are real missing.
• Sometimes, you need to recode string variables into
numeric variables
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18. cases summaries
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19. 19

20. 20

21. Basic Statistical Analysis
•Descriptive statistics:
1. Find wrong entries
2. Have basic knowledge about the sample and
targeted variables in a study
3. Summarize data.
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22. 22
Analyze Descriptive statistics Frequency
Qualitative Variables

23. 23

24. 24

25. 25
Analyze Descriptive statistics Descriptives
Quantitative Variables

26. 26
Histogram Box-Plot
AGE

27. 27
Duration of Stay
Histogram Box-Plot