SPSS

SPSS1.2.

mm

Discriminant

Discriminant

Grouping VariableIndependentsUse Stepwise method Enter independent together

Grouping VariableDefine range "Minimum""Muximurn"

2

Independents:

Indepents

(1)"Ok" (2)SPSS"Paste""Syntax""Run" "output"

SelectSelectVaiableValue

Select

1Enter independent together

2Use Stepwise method "Method" MethodStepwise method

Stepwise method

Method Wilks'lambda WilkUnexplained variance Mahalanobis'distance Mahalanobis

Smallest F ratioF Rao' V RaoVV"V to dntce'"

criteria Use F valueFEntry3.84removal2.71F=3.84F=2.71EntryFremovalF

Use probability of FFF0.055q0.1010removalEntryF

Method"Display" Resul at each step Summary F for Pairwise distances F "continue"

statistics1 "Descriptives" MeansMEANStd Dev Univariate ANOVA Box's M

Statistics

2 Fuction coefficients Fisher's Unstandardized

3 Matrices within-groups correlation matrix within-groups covariance matrix Separate-groups covariance matrices Total covariance matrix "continue"

classify 1Prior Probabilities All groups equalm1m computer from group sizes

Classifiction

2 Use covariance Matrix Within-groups Seperate-groups

3 Plots combined-groups Seperate-groups Territoreal map

4 Displsy Results for each case Summary table

5 classification Replace missing value with mean"x" "continue"

Descriminant"Save New Vaiables" SaveSave New Vaiables

Save

Predicted group membershipDescriminantdis-1,nDescriminantdis-n

Descriminant score Descriminantmmlml3dis1_1,dis2_1dis1_2,dis2_2

Probabilities of group membershipmmmdis1_2,dis2_2dis3_2. "continue"

Descriminant 1"Ok"Descriminant 2"Paste"Descriminant"Syntax" "Syntax'Descriminant"Run"

1 ""Discriminant"Use stepwise method""Method"

"Method""stepwise method"Milks LambraF3.84F2.71.

Milks LambraMilksUnexplained varianceMahalanobis distancesmallest F ratio F Rao's V Rao V"V to enter'' V

Use F valueF EntryFF RemoveFF EntryRemove

"Stepwise Method" Results at each stepFFFF Summery F for pairwise distances FF

(2) Milks LambraFF>=30F=5

"Statistics""classify""Discriminant Analysis""Discriminant Analysis" IndependentsslenswidPlenPwidGroup variablesspno13slenswidPlenPwidspno

"Method" Method"Milks Lambra" criteria"Use F value', Entry=30Remove=5 Display Results at each step Summary F for pairwise distance F

"Statistics" Descriptives"Mean" Function coefficients Fisher's Unstandardized

"classify""classification" Prior Probabilities"All groups equal" Use covariance Matrix"Withingroups" DisplaySummary table

"save" Predicted group membership Discriminant scores Probabilities of group membership (3)(6)"continue" "Paste"Symtax "Run"

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