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Spss (1)

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Shahadat Hossen

This document provides an overview of using the statistical software package SPSS. It discusses the four main windows in SPSS - the data editor, output viewer, syntax editor, and script window. It also covers the basics of managing data files, including opening SPSS, defining variables, and saving data. Finally, it demonstrates some common analyses in SPSS including frequencies, descriptives, and linear regression as well as how to interpret the outputs and plot regression lines. The overall purpose is to introduce the basics of using SPSS to perform statistical analysis and data management.

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USES OF SPSS PACKAGE FOR DATA ANALYSIS PRESENTED BY MD.SHAHADAT HOSSEN BANGLADESH
Object of the Course About the four-windows in SPSS The basics of managing data files The basic analysis in SPSS
Introduction: What is SPSS? Originally it is an acronym of Statistical Package for the Social Science but now it stands for Statistical Product and Service Solutions One of the most popular statistical packages which can perform highly complex data manipulation and analysis with simple instructions
The Four Windows: Data editor Output viewer Syntax editor Script window
The Four Windows: Data Editor Data Editor Spreadsheet-like system for defining, entering, editing, and displaying data. Extension of the saved file will be sav.
The Four Windows: Output Viewer Output Viewer Displays output and errors. Extension of the saved file will be spv.
The Four Windows: Syntax editor Syntax Editor Text editor for syntax composition. Extension of the saved file will be sps.
The Four Windows: Script Window Script Window Provides the opportunity to write full-blown programs, in a BASIC-like language. Text editor for syntax composition. Extension of the saved file will be sbs.
The basics of managing data files
Opening SPSS Start All Programs SPSS Inc SPSS 16.0 SPSS 16.0
Opening SPSS The default window will have the data editor There are two sheets in the window: 1. Data view 2. Variable view
Data View window The Data View window This sheet is visible when you first open the Data Editor and this sheet contains the data Click on the tab labeled Variable View Click
Variable View window This sheet contains information about the data set that is stored with the dataset Name The first character of the variable name must be alphabetic Variable names must be unique, and have to be less than 64 characters. Spaces are NOT allowed.
Variable View window: Type Type Click on the type box. The two basic types of variables that you will use are numeric and string. This column enables you to specify the type of variable.
Variable View window: Width Width Width allows you to determine the number of characters SPSS will allow to be entered for the variable
Variable View window: Decimals Decimals Number of decimals It has to be less than or equal to 16 3.14159265
Variable View window: Label Label You can specify the details of the variable You can write characters with spaces up to 256 characters
Variable View window: Values Values This is used and to suggest which numbers represent which categories when the variable represents a category
Defining the value labels Click the cell in the values column as shown below For the value, and the label, you can put up to 60 characters. After defining the values click add and then click OK. Click
Practice 1 How would you put the following information into SPSS? Name Gender Height JAUNITA 2 5.4 SALLY 2 5.3 DONNA 2 5.6 SABRINA 2 5.7 JOHN 1 5.7 MARK 1 6 ERIC 1 6.4 BRUCE 1 5.9 Value = 1 represents Male and Value = 2 represents Female
Practice 1 (Solution Sample) Click
Click
Saving the data To save the data file you created simply click file and click save as. You can save the file in different forms by clicking Save as type. Click
Sorting the data Click Data and then click Sort Cases
Sorting the data (contd) Double Click Name of the students. Then click ok. Click Click
Practice 2 How would you sort the data by the Height of students in descending order? Answer Click data, sort cases, double click height of students, click descending, and finally click ok.
Transforming data Click Transform and then click Compute Variable
Transforming data (contd) Example: Adding a new variable named lnheight which is the natural log of height Type in lnheight in the Target Variable box. Then type in ln(height) in the Numeric Expression box. Click OK Click
Transforming data (contd) A new variable lnheight is added to the table
Practice 3 Create a new variable named sqrtheight which is the square root of height. Answer
The basic analysis
The basic analysis of SPSS that will be introduced in this class Frequencies This analysis produces frequency tables showing frequency counts and percentages of the values of individual variables. Descriptives This analysis shows the maximum, minimum, mean, and standard deviation of the variables Linear regression analysis Linear Regression estimates the coefficients of the linear equation
Opening the sample data Open Employee data.sav from the SPSS Go to File, Open, and Click Data
Opening the sample data Go to Program Files, SPSSInc, SPSS16, and Samples folder. Open Employee Data.sav file
Frequencies Click Analyze, Descriptive statistics, then click Frequencies
Frequencies Click gender and put it into the variable box. Click Charts. Then click Bar charts and click Continue. Click Click
Frequencies Finally Click OK in the Frequencies box. Click
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Using the Syntax editor Click Analyze, Descriptive statistics, then click Frequencies. Put Gender in the Variable(s) box. Then click Charts, Bar charts, and click Continue. Click Paste. Click
Using the Syntax editor Highlight the commands in the Syntax editor and then click the run icon. You can do the same thing by right clicking the highlighted area and then by clicking Run Current Click Right Click!
Practice 4 Do a frequency analysis on the variable minority Create pie charts for it Do the same analysis using the syntax editor
Spss (1)
Answer Click
Descriptives Click Analyze, Descriptive statistics, then click Descriptives Click Educational level and Beginning Salary, and put it into the variable box. Click Options Click
Descriptives The options allows you to analyze other descriptive statistics besides the mean and Std. Click variance and kurtosis Finally click Continue Click Click
Descriptives Finally Click OK in the Descriptives box. You will be able to see the result of the analysis.
Regression Analysis Click Analyze, Regression, then click Linear from the main menu.
Regression Analysis salbegin =b +b edu +e 0 1 For example lets analyze the model Put Beginning Salary as Dependent and Educational Level as Independent. Click Click
Regression Analysis Clicking OK gives the result
Plotting the regression line Click Graphs, Legacy Dialogs, Interactive, and Scatterplot from the main menu.
Plotting the regression line Drag Current Salary into the vertical axis box and Beginning Salary in the horizontal axis box. Click Fit bar. Make sure the Method is regression in the Fit box. Then click OK. Click Set this to Regression!
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Practice 5 Find out whether or not the previous experience of workers has any affect on their beginning salary? Take the variable salbegin, and prevexp as dependent and independent variables respectively. Plot the regression line for the above analysis using the scatter plot menu.
Answer Click
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Click on the fit tab to make sure the method is regression
Spss (1)
CONCLUSION SPSS for windows is a computer package that will perform a wide variety of statistical procedures. Data management and analysis can be handled well with SPSS. Using SPSS we can manipulate data, make graphs and perform statistical techniques varying from means to regression.
REFERENCES . http://en.allexperts.com/q/Management-Consulting-2802 http://www.icmrindia.org Harvard Business Review - April 2009 www.coolavenue.com www2.advisorworks.com. February 28, 2000. Baylogic. "Net History and Statistics." www.baylogic.com. February 28, 2000. Berners-Lee, Tim. (1996) "Passing up Fortune-Building 'To Do the Revolution Right'." Investor's Business Daily 13(43)(June 7):1-2. Reidelbach, Dorothy. (1996 Planning for Higher Education24 (Spring):1- 6. Ricart, Glenn. (2000). "Unofficial Technology Marvel of the Millennium." Educause ReviewJanuary/February: 38-59.
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Spss (1)

  • 1. USES OF SPSS PACKAGE FOR DATA ANALYSIS PRESENTED BY MD.SHAHADAT HOSSEN BANGLADESH
  • 2. Object of the Course About the four-windows in SPSS The basics of managing data files The basic analysis in SPSS
  • 3. Introduction: What is SPSS? Originally it is an acronym of Statistical Package for the Social Science but now it stands for Statistical Product and Service Solutions One of the most popular statistical packages which can perform highly complex data manipulation and analysis with simple instructions
  • 4. The Four Windows: Data editor Output viewer Syntax editor Script window
  • 5. The Four Windows: Data Editor Data Editor Spreadsheet-like system for defining, entering, editing, and displaying data. Extension of the saved file will be sav.
  • 6. The Four Windows: Output Viewer Output Viewer Displays output and errors. Extension of the saved file will be spv.
  • 7. The Four Windows: Syntax editor Syntax Editor Text editor for syntax composition. Extension of the saved file will be sps.
  • 8. The Four Windows: Script Window Script Window Provides the opportunity to write full-blown programs, in a BASIC-like language. Text editor for syntax composition. Extension of the saved file will be sbs.
  • 9. The basics of managing data files
  • 10. Opening SPSS Start All Programs SPSS Inc SPSS 16.0 SPSS 16.0
  • 11. Opening SPSS The default window will have the data editor There are two sheets in the window: 1. Data view 2. Variable view
  • 12. Data View window The Data View window This sheet is visible when you first open the Data Editor and this sheet contains the data Click on the tab labeled Variable View Click
  • 13. Variable View window This sheet contains information about the data set that is stored with the dataset Name The first character of the variable name must be alphabetic Variable names must be unique, and have to be less than 64 characters. Spaces are NOT allowed.
  • 14. Variable View window: Type Type Click on the type box. The two basic types of variables that you will use are numeric and string. This column enables you to specify the type of variable.
  • 15. Variable View window: Width Width Width allows you to determine the number of characters SPSS will allow to be entered for the variable
  • 16. Variable View window: Decimals Decimals Number of decimals It has to be less than or equal to 16 3.14159265
  • 17. Variable View window: Label Label You can specify the details of the variable You can write characters with spaces up to 256 characters
  • 18. Variable View window: Values Values This is used and to suggest which numbers represent which categories when the variable represents a category
  • 19. Defining the value labels Click the cell in the values column as shown below For the value, and the label, you can put up to 60 characters. After defining the values click add and then click OK. Click
  • 20. Practice 1 How would you put the following information into SPSS? Name Gender Height JAUNITA 2 5.4 SALLY 2 5.3 DONNA 2 5.6 SABRINA 2 5.7 JOHN 1 5.7 MARK 1 6 ERIC 1 6.4 BRUCE 1 5.9 Value = 1 represents Male and Value = 2 represents Female
  • 21. Practice 1 (Solution Sample) Click
  • 22. Click
  • 23. Saving the data To save the data file you created simply click file and click save as. You can save the file in different forms by clicking Save as type. Click
  • 24. Sorting the data Click Data and then click Sort Cases
  • 25. Sorting the data (contd) Double Click Name of the students. Then click ok. Click Click
  • 26. Practice 2 How would you sort the data by the Height of students in descending order? Answer Click data, sort cases, double click height of students, click descending, and finally click ok.
  • 27. Transforming data Click Transform and then click Compute Variable
  • 28. Transforming data (contd) Example: Adding a new variable named lnheight which is the natural log of height Type in lnheight in the Target Variable box. Then type in ln(height) in the Numeric Expression box. Click OK Click
  • 29. Transforming data (contd) A new variable lnheight is added to the table
  • 30. Practice 3 Create a new variable named sqrtheight which is the square root of height. Answer
  • 32. The basic analysis of SPSS that will be introduced in this class Frequencies This analysis produces frequency tables showing frequency counts and percentages of the values of individual variables. Descriptives This analysis shows the maximum, minimum, mean, and standard deviation of the variables Linear regression analysis Linear Regression estimates the coefficients of the linear equation
  • 33. Opening the sample data Open Employee data.sav from the SPSS Go to File, Open, and Click Data
  • 34. Opening the sample data Go to Program Files, SPSSInc, SPSS16, and Samples folder. Open Employee Data.sav file
  • 35. Frequencies Click Analyze, Descriptive statistics, then click Frequencies
  • 36. Frequencies Click gender and put it into the variable box. Click Charts. Then click Bar charts and click Continue. Click Click
  • 37. Frequencies Finally Click OK in the Frequencies box. Click
  • 39. Using the Syntax editor Click Analyze, Descriptive statistics, then click Frequencies. Put Gender in the Variable(s) box. Then click Charts, Bar charts, and click Continue. Click Paste. Click
  • 40. Using the Syntax editor Highlight the commands in the Syntax editor and then click the run icon. You can do the same thing by right clicking the highlighted area and then by clicking Run Current Click Right Click!
  • 41. Practice 4 Do a frequency analysis on the variable minority Create pie charts for it Do the same analysis using the syntax editor
  • 44. Descriptives Click Analyze, Descriptive statistics, then click Descriptives Click Educational level and Beginning Salary, and put it into the variable box. Click Options Click
  • 45. Descriptives The options allows you to analyze other descriptive statistics besides the mean and Std. Click variance and kurtosis Finally click Continue Click Click
  • 46. Descriptives Finally Click OK in the Descriptives box. You will be able to see the result of the analysis.
  • 47. Regression Analysis Click Analyze, Regression, then click Linear from the main menu.
  • 48. Regression Analysis salbegin =b +b edu +e 0 1 For example lets analyze the model Put Beginning Salary as Dependent and Educational Level as Independent. Click Click
  • 49. Regression Analysis Clicking OK gives the result
  • 50. Plotting the regression line Click Graphs, Legacy Dialogs, Interactive, and Scatterplot from the main menu.
  • 51. Plotting the regression line Drag Current Salary into the vertical axis box and Beginning Salary in the horizontal axis box. Click Fit bar. Make sure the Method is regression in the Fit box. Then click OK. Click Set this to Regression!
  • 53. Practice 5 Find out whether or not the previous experience of workers has any affect on their beginning salary? Take the variable salbegin, and prevexp as dependent and independent variables respectively. Plot the regression line for the above analysis using the scatter plot menu.
  • 56. Click on the fit tab to make sure the method is regression
  • 58. CONCLUSION SPSS for windows is a computer package that will perform a wide variety of statistical procedures. Data management and analysis can be handled well with SPSS. Using SPSS we can manipulate data, make graphs and perform statistical techniques varying from means to regression.
  • 59. REFERENCES . http://en.allexperts.com/q/Management-Consulting-2802 http://www.icmrindia.org Harvard Business Review - April 2009 www.coolavenue.com www2.advisorworks.com. February 28, 2000. Baylogic. "Net History and Statistics." www.baylogic.com. February 28, 2000. Berners-Lee, Tim. (1996) "Passing up Fortune-Building 'To Do the Revolution Right'." Investor's Business Daily 13(43)(June 7):1-2. Reidelbach, Dorothy. (1996 Planning for Higher Education24 (Spring):1- 6. Ricart, Glenn. (2000). "Unofficial Technology Marvel of the Millennium." Educause ReviewJanuary/February: 38-59.

Editor's Notes

  1. The graph shows that more people who receives wireless service tends to own PDA compared to people who doesnt receive wireless service.
  2. This window shows the actual data values and the name of the variables.