SPSS SPSSWIN
SPSS ) (SPSSWIN )(Statistical Package for Social Science under
Windows ) (SPSSWIN ) SPSS ( Windows Millennium
Programs
SPSS Start SPSS : Start SPSS for Widows SPSS12 for Windows
Variable view ) ) ( ....(
1
Data view
2
1- )File( . . New Open . Close . Save . Save As . Display Data
Information . . Apply Data Dictionary Print . Stop SPSS Processor .
Exit . 2-) Edit( . Undo. Cut . Copy . Paste . Clear . . Find
Options. 3-) Data( . Define Variable . . Define Dates . Templates
Insert Variable . . Insert Case . Go to Case )( . Sort Cases
Transpose .
3
Merge Files . . Aggregate . Split File . Select Cases Weight
Cases . 4-) Transform( . Compute . Random Number Seed . . Count .
Recode Rank Cases . Automatic Recode . Create Time Series . Replace
Missing Values . Run Pending Transform . 5- ) Analyze ( . Analyze
:- Reports . Descriptive Statistics Compare Means. . Means ) (t
.One- Sample (T) Test )(t .Independent Sample (T) Test )(t .Paired
Samples (T) Test .One Way ANOVA General linear model .Correlate ) (
. Bivariate .Partial 6-) Graphs (
4
Bar Line Pie Box Plot Scatter .Histogram 7- ) Utilities( .
Variables File Info Define Sets 8- ) Window( . Minimize All
.Windows 9- ) Help( )( .
: File Open Data
SPSS ". "sav Files of SPSS Type " Open -
:
5
Analyze Descriptive Statistics Frequencies
6
Frequencies inccat Income category , .
(Variable(s , Ok . )( [income category [inccat Variable
Information
Value Labels . [Gender [gender , [income category [inccat .
7
)#( numeric ) (A string Ok Viewer window Viewer income category
.
8
:
. . : PDA . : Graphs Bar clustered Define
[Wireless service [ wireless )( Category Axis [Owns PDA [ownpda
PDA Define clusters by
Ok .Viewer
9
Frequencies Procedure Analyze Descriptive Statistics
Frequencies
frequencies
(Owns PDA (ownpda (Owns TV (owntv
01
Ok Viewer Window
12% PDAS TV )2.99%( TV : :
Analyze Descriptive Statistics
11
0
x y cells
21
Continue OK Output
31
14
SPSSWIN ) (SPSSWIN : : :Analyze Descriptive statistics
Descriptive
)2-01( Descriptive Educational level Current salary .Employee
data Options . :
51
Mean
Sum
Dispersion.Std Deviation Variance Range
Minimum Maximum .S.E mean
DistributionKurtosis
Skewness
) (Continue . )(Ok ) (Descriptive ).(Output
: - 1 +1 :
61
)( )( ) ( : 9 5 8 4 7 3 1 2 51 9 01 6 31 5 4 6 SPSS :
Analyze Correlate Bivariate
:
71
:
OK :Correlations x 1 . 8 )**(629. 100. 8 Pearson Correlation 2(
.Sig)tailed N Pearson Correlation 2( .Sig)tailed N x
y
.)** Correlation is significant at the 0.01 level (2-tailed
629.0 ) ( 1% : y x Analyze Regression liner
81
:
OK x y
Regressionb Variables Entered/Removed
Variab les Model Entered a 1 x
Variab les Removed .
Method Enter
a. All requested variab les entered. b . Dependent Variab le: y
Model Summary Model 1 R R Square .926a .857 Adjusted Std. Error of
R Square the Estimate .833 1.619
a. Predictors: (Constant), x
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b ANOVA
Sum of Model Squares 1 Regression 94.272 Residual 15.728 Total
110.000 a. Predictors: (Constant), x b . Dependent Variab le: y
df
Mean Square 1 94.272 6 2.621 7
F 35.963
Sig. .001a
a Coefficients
Model 1 (Constant) x
Unstandardized Standardized Coefficients Coefficients B Std.
Error Beta 2.331 1.177 1.265 .211 .926
t 1.980 5.997
Sig. .095 .001
a. Dependent Variable: y
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