Hypothetical Experimental Designs
Pre-Experiment State Select (Designs,
Designs of Experiments)
and select the Pre-Experiment State command located under the Hypothetical
Experimental Designs heading.
Select (Operations, Add Variables)
to combine variables Y0 and Y1.
Select (Analysis I, Regression Analysis)
and click on the Accept command. An output panel
for the regression analysis will be displayed as on the left of
the table below
|
Hypothetical Experimental Designs |
 |
 |
|
Pre-Experiment State
|
Post-Experiment State |
and the predicted and error variables Y' and
Y^ will be added to the vector display on the left of the
table below.
|
Hypothetical
Experimental Designs
|
 |
 |
|
Pre-Experiment State |
Post-Experiment State
|
Post-Experiment State Launch a parallel project (Project, Parallel Projects), and
click on the Open a new Project command. Repeat the above steps,
initially initially selecting (Designs, Post Experiment State) under the
Hypothetical Experimental Designs heading. Add two more steps. During the
first step select (Transfers, Descriptors to the scalar module) and
select Arithmetic Means of Y0 and Y1 variables. During the second step
select (Transfers, Scalars to a variable). Click on the 'Scalars'
variable name and rename this variable as 'Means.' On your computer screen will
float four windows with two instances of the Visual Statistics Studio,
displaying results of pre- and post- states of this
hypothetical experiment, as shown above.
Note that variances of the predicted Y' (.250) and error
Y^ variables (.667) add to variances of the variable Y (.917), that the
variance of the predicted scores Y' (.250) equals to the variance
between the means (.250) and that the variance of the error scores Y^
(.667) is the weighted variance of the variables Y0 (.667) and Y1+Exp
(.667).
Click on Descriptive Statistics and select (Standard Variance, Standardizing Variable
Y), adding
the bottom line to the vector display as
Select (Analysis II, Coded Independent Measures
Design), mark variables X and Y, and click on the Accept
command.
Compare Standard Variance Components
of Variable Y (1.000), Variable Y' (.273) and Variable Y^ (.273) on the vector display
with the Total (1.000), Between Means (.273) and
Residual (.727) Standard Variance Components on the above
panel.
