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SPSS ýõëýí ñóðàõ

SPSS ýõëýí ñóðàõ. 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?. Statistical Package for the Social Science áóþó SPSS íü IBM êîìïàíèéí ïðîãðàìì.

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SPSS ýõëýí ñóðàõ

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  1. SPSS ýõëýí ñóðàõ

  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? • Statistical Package for the Social Science áóþó SPSSíü IBM êîìïàíèéí ïðîãðàìì. • Ìýäýýëëèéí ñàíä êëàññèê áîëîí îð÷èí ¿åèéí ñòàòèñòèê àðãóóäààð øèíæèëãýý õèéäýã ïðîãðàìì. • Áóñàä ñóäàëãàà øèíæèëãýýíèé ïðîãðàììóóäòàé çîõèöîí àæèëëàõ ÷àäâàðòàé

  4. The Four Windows:Data editor Output viewer Syntax editor Script window

  5. The Four Windows: Data Editor • Data Editor Ýíý öîíõîíä ºãºãä뺺 òîäîðõîéëîõ, îðóóëàõ þì. SPSS ïðîãðàììûí ºãºãäºë “sav” ºðãºòãºëòýé õàäãàëàãäàíà.

  6. The Four Windows: Output Viewer • Output Viewer ¯ð ä¿í áîëîí àëäààã õàðóóëíà. ¯ð ä¿íãèéí ôàéë íü “spv” ºðãºòãºëòýé õàäãàëàãäàíà.

  7. The Four Windows: Syntax editor • Syntax Editor ªãºãäë¿¿ä äýýð õèéãäýæ áàéãàà ñòàòèñòèêèéí øèíæèëãýýíèé àðãûí êîìàíäóóä íü ïðîãðàìì õýëáýðýýð áè÷èãäýíý.Ýíý ôàéë íü “sps.” ºðãºòãºëòýé.

  8. The Four Windows: Script Window • Script Window Ýíý öîíõîíä ïðîãðàììûí øèíæèëãýýã BASIC õýë äýýð äàðààëëààð íü æàãñààí áè÷äýã.

  9. The basics of managing data files

  10. Opening SPSS • Start → All Programs → SPSS Inc→ SPSS 17.0 → SPSS 17.0

  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. Click Data View õàðèëöàõ öîíõ • 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

  13. Variable View õàðèëöàõ öîíõ • 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 / Õóâüñàã÷äûí òºðºë • ‘type’ öîíõûã äàðâàë çóðàãò ¿ç¿¿ëñýí õàðèëöàõ öîíõ ãàð÷ èðýõ áºãººä òóõàéí õýìæèãäýõ¿¿íèé òºðëèéã òîäîðõîéëîæ ºãíº.

  15. Variable View window: Width • Width/ ºðãºí • Õýìæèãäýõ¿¿íèé òîîí áîëîí òîîí áóñ óòãûí óðòûã ººðººð õýëáýë 1 ºãºãäëèéí ºðãºíèéã òîäîðõîéëîíî.

  16. Variable View window: Decimals • Decimals/òàñëàëààñ õîéøèõ îðîí • Number of decimals • Òàñëàëààñ õîéøèõ îðîíãèéí õýìæýý <16

  17. Variable View window: Label • Label/ õýìæèãäýõ¿¿íü õóâüñàã÷ • Õóâüñàã÷äûí òàéëáàðûã õàðóóëàõ • 256 òýìäýãò õ¿ðòýë òàéëáàðëàí áè÷èõ áîëîìæòîé.

  18. Variable View window: Values • Values • This is used and to suggest which numbers represent which categories when the variable represents a category

  19. Click 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.

  20. Æèøýý 1: • Äàðààõ ìýäýýëëèéã õýðõýí SPSS ïðîãðàìì äýýð ºãºãäºë õýëáýðýýð îðóóëàõ âý? Value = 1 represents Male and Value = 2 represents Female

  21. Click Æèøýý 1: (Ò¿¿âðèéí øèéäýë)

  22. Äàðàõ

  23. Äàðàõ 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.”

  24. Sorting the data/ªãºãäëèéã ýðýìáýëýõ • Click ‘Data’ and then click Sort Cases

  25. Äàðàõ Äàðàõ Sorting the data (cont’d) • Double Click ‘Name of the students.’ Then click ok./ Îþóòíû íýðñýýð ýðýìáýëýõ

  26. Æèøýý 2: • Äýýðõ æèøýýí äýýð ‘Height’ of students ¿ç¿¿ëýëòýýð áóóðàõ ýðýìáýýð ýðýìáýëýõ? • Õàðèóëò • Click data, sort cases, double click ‘height of students,’ click ‘descending,’ and finally click ok.

  27. Transforming data/ ªãºãäëèéã ººð÷ëºõ • Click ‘Transform’ and then click ‘Compute Variable…’

  28. Äàðàõ Transforming data (cont’d) • Æèøýý: Íýìæ øèíý ‘lnheight’ ãýñýí õóâüñàã÷èéã ºìíºõ ºãºãäë¿¿äèéã àøèãëàí ¿¿ñãýõ. Height ãýñýí õóâüñàã÷ààñ íàòóðàë ëîãàðèôì àâàõ • Type in lnheight in the ‘Target Variable’ box. Then type in ‘ln(height)’ in the ‘Numeric Expression’ box. Click OK

  29. Transforming data (cont’d) • Øèíý õýìæèãäýõ¿¿í ‘lnheight’ íýìýãäëýý.

  30. Æèøýý 3: • Øèíýýð “sqrtheight” õýìæèãäýõ¿¿íèéã îðóóëàõ. which is the square root of height. • Answer

  31. Øèíæèëãýýíèé àñóóäàë

  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,” “SPSS17,” and “Samples” folder. • Open “Employee Data.sav” file

  35. Frequencies • Click ‘Analyze,’ ‘Descriptive statistics,’ then click ‘Frequencies’

  36. Äàðàõ Äàðàõ Frequencies/ Äàâòàìæ • Click gender and put it into the variable box. • Variable öîíõ äýýõ gender-èéã ñîíãî. • Click ‘Charts.’/ ‘Charts’ –èéã ñîíãî. • Then click ‘Bar charts’ and click ‘Continue.’

  37. Äàðàõ Frequencies/ Äàâòàìæ • Finally Click OK in the Frequencies box.

  38. Click Syntax editor-èéã àøèãëàâàë: • Click ‘Analyze,’ ‘Descriptive statistics,’ then click ‘Frequencies.’ • Put ‘Gender’ in the Variable(s) box. • Then click ‘Charts,’ ‘Bar charts,’ and click ‘Continue.’ • Click ‘Paste.’

  39. Right Click! 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’

  40. Æèøýý 4: • Do a frequency analysis on the variable “minority” • Create pie charts for it • Do the same analysis using the syntax editor

  41. Click Answer

  42. Click Descriptives • Click ‘Analyze,’ ‘Descriptive statistics,’ then click ‘Descriptives…’ • Click ‘Educational level’ and ‘Beginning Salary,’ and put it into the variable box. • Click Options

  43. Click Click Descriptives/ Òîîí ¿ç¿¿ëýëò¿¿ä • The options allows you to analyze other descriptive statistics besides the mean and Std. • Click ‘variance’ and ‘kurtosis’ • Finally click ‘Continue’

  44. Descriptives/ Òîîí ¿ç¿¿ëýëò¿¿ä • Finally Click OK in the Descriptives box. You will be able to see the result of the analysis.

  45. Regression Analysis • Click ‘Analyze,’ ‘Regression,’ then click ‘Linear’ from the main menu.

  46. Click Click Regression Analysis • For example let’s analyze the model • Put ‘Beginning Salary’ as Dependent and ‘Educational Level’ as Independent.

  47. Regression Analysis • Clicking OK gives the result

  48. Plotting the regression line • Click ‘Graphs,’ ‘Legacy Dialogs,’ ‘Interactive,’ and ‘Scatterplot’ from the main menu.

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