Index

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A

About - Class in org.gsusers.gsmv.utilities

Class 'About': formats the two auxiliary Help screens.

About(GS_Application, gsLogger, Boolean, String, String) - Constructor for class org.gsusers.gsmv.utilities.About

Constructor

addAnchors(String) - Method in class org.gsusers.gsmv.model.Nest

parser for reading score anchors from script (SynthGroups).

addComment(String) - Method in class org.gsusers.gsmv.model.Nest

add commentLine to salComments.

addEffect(String) - Method in class org.gsusers.gsmv.model.Nest

parser for 'Effect' line in analyze script

addFacet(Facet) - Method in class org.gsusers.gsmv.model.Nest

method to collect facet information from scripts

addFormat() - Method in class org.gsusers.gsmv.model.Nest

setter for sFormat.

addNestee(char) - Method in class org.gsusers.gsmv.model.Facet

adds 'Nestee', facets nested in the current facet.

addProcess() - Method in class org.gsusers.gsmv.model.Nest

setter for sProcess

addSampleSize(char, String[]) - Method in class org.gsusers.gsmv.model.SampleSizeTree

This method runs when sample sizes are entered.

addSampleSize(int, int[]) - Method in class org.gsusers.gsmv.model.SampleSizeTree

This method runs when sample sizes are entered.

addVariances(String) - Method in class org.gsusers.gsmv.model.Nest

parser for reading variance components from script (SynthGroups).

adjust(int) - Method in class org.gsusers.gsmv.utilities.Lehmer

Iteration step adjusting each generated simulated data item according to the current random number

AnaGroups - Class in org.gsusers.gsmv.steps

Manages G-Analysis by taking the user step-by-step through the whole procedure from entering the project title to performing an arbitrary number of D-Studies.

AnaGroups(GS_Application, Nest, gsLogger, GS_Controller, Preferences, Filer) - Constructor for class org.gsusers.gsmv.steps.AnaGroups

constructor of AnaGroups

Analysis() - Method in class org.gsusers.gsmv.steps.AnaGroups

'Analysis' extracts the means and estimated variance coefficients from the urGenova output file, and uses them to calculate G-Study and D-Study results see 'VarianceComponents' in the 'Algorithm' section of the explanations.

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