SPSSAMOS Theory of Planned Behavior ZeroOrder Correlations PATH INGRAMsav data file from SPSS data page Attitude SubNorm PBC Intent Behavior Attitude 1000 472 665 ID: 533720
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Slide1
Path AnalysisSPSS/AMOSSlide2
Theory of Planned BehaviorSlide3
Zero-Order CorrelationsPATH-INGRAM.sav
data file from
SPSS
data
page.
Attitude
SubNorm
PBC
Intent
Behavior
Attitude
1.000
.472
.665
.767
.525
SubNorm
.472
1.000
.505
.411
.379
PBC
.665
.505
1.000
.458
.496
Intent
.767
.411
.458
1.000
.503
Behavior
.525
.379
.496
.503
1.000Slide4
SPSS RegThe path coefficients can be obtained by a series of multiple regressions.
Behavior = Intention, PBC
Intention = Attitude,
SubNorm
, PBCSlide5
Predicting Behavior
Beta
t
Sig.
(Constant)
-
1.089
.281
Intent
.350
2.894
.005
PBC
.336
2.781
.007Slide6
Predicting Intention
Beta
t
Sig.
(Constant)
2.137
.037
Attitude
.807
6.966
.000
SubNorm
.095
.946
.348
PBC
-.126
-1.069
.290Slide7
Path DiagramSlide8
AMOS GraphicsClick Analyze, IBM SPSS AMOS. In the AMOS window which will open click File, New:Slide9
AMOSThe following slides illustrate doing path analysis with AMOS.But students at ECU do not have access to AMOS.
So I am going
to stop here.Slide10Slide11
Draw That Path DiagramClick on the “Draw observed variables” icon which I have circled on the image two slides above.
Move the cursor over into the drawing space on the right
.
Hold down the left mouse button while you move the cursor to draw a
rectangle. Release the mouse button.Slide12
IconsSlide13
Duplicate IconsDraw one rectangle.
Now
click the Duplicate Objects icon, boxed in black
on the slide above
Point
at that rectangle, hold down the left mouse button while you move to the desired location for the second rectangle, and release the mouse button.Slide14
Altering/Moving ObjectsChange the Shape of Objects
Click the icon
Click the object and move the mouse.
Move Objects
Click the icon Click the object and move the mouseSlide15
Set Object PropertiesClick on the “List variables in data set” icon.
Drag
and drop variable names to the
boxes.
To view/edit object properties, right-click the object and select
Object Properties Slide16Slide17
Draw PathsClick on the “Draw paths” icon.
Draw
a path from Attitude to Intent (hold down the left mouse button at the point you wish to start the path and then drag it to the ending point and release the mouse button
).
The borders of the objects being connected will change color when selected.Slide18
Draw CovariancesClick on the “Draw
Covariances
”
icon.
Draw
a covariance from SubNorm
to
Attitude.
Use
the “Change the shape of objects” tool
to
increase or decrease the arc of these
covariances
. Slide19
Adding An Unique VariableClick on the “Add a unique variable to an existing variable” icon.
Move
the cursor over the Intent variable and click the left mouse button to add the error variable
.
Right-click the error circle leading to Intent, select Object Properties, and name the variable “e1.”Slide20
Analysis Properties Click the “Analysis properties” icon -- to display the Analysis Properties window. Select the Output tab and ask for the output shown below.Slide21Slide22Slide23
Conduct the AnalysisFinish drawing the path diagram (illustrated earlier) and then Click on the “Calculate estimates”
icon.
In the “Save As” window browse to the desired folder and give the file a name
.
Click
Save.Slide24
One or More Variables Not NamedYou may get this error even when every variable in the model is named.
In my experience, you might as well start over from scratch at this point.
Suggested curses can be found at
http://www.vnutz.com/curse_and_swearSlide25
OK, Stop CussingIn BlackBoard, go to Documents, Structural Equation Modeling & Path
Analysis, Path Analysis Files.
Download the files.
Open Path-
Ingram.sav
in SPSS.Analyze
,
AMOS
File, Open, Path-
Ingram.amw
Calculate EstimatesSlide26
View the Output Path DiagramClick the icon outlined in red below.The one to the left will display the input path diagram.Slide27
Standardize the CoefficientsClick “Standardized estimates.”Slide28Slide29
Export the Path DiagramClick the “Copy the path diagram to the clipboard icon. Open a Word document or photo editor and paste in the path diagram
.Slide30
View the Output DetailsClick the “View text” icon.Slide31
Export the DetailsThe Copy to Clipboard icon (green dot, above) can be used to copy the output to another document via the clipboard
.Slide32
2 Output
Chi-square = .847
Degrees of freedom = 2
Probability level = .655
The null here is that our model fits the data just as well as a saturated model (one with every variable connected to every other variable).Slide33
R2
Variable
Estimate
Intent
.600
Behavior
.343
These are for Intention predicted from Attitude, Subjective Norms, and Perceived Behavioral Control, and
Behavior predicted from Intention and Perceived Behavioral Control.Slide34
Standardized Direct Effects
SubNorm
PBC
Attitude
Intent
Intent
.095
-.126
.807
.000
Behavior
.000
.336
.000
.350
These are all shown in the path diagram.Slide35
Standardized Indirect Effects
SubNorm
PBC
Attitude
Intent
Intent
.000
.000
.000
.000
Behavior
.033
-.044
.282
.000
These are products of coefficients. For example, Attitude to Behavior is .81(.35) = .28.Slide36
Goodness of Fit IndicesGFI = .994. This tells
you what proportion of the variance in the sample variance-covariance matrix is accounted for by the
model.
This
should exceed .9 for a good model
.For the saturated model it will be a perfect 1.
Slide37
The Normed Fit Index (NFI)NFI = .994. .9 or higher is good.Compares our model to the independence model (a model with no paths or covariances
)
The Comparative Fit Index (CFI
) is similar, and good with smaller samples.
CFI = 1.000 Slide38
Root Mean Square Error of ApproximationEstimates lack of fit compared to the saturated model.
RMSEA
of .05 or less indicates good fit, and .08 or less adequate fit
.
RMSEA here is .000.