Research Methods

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  • Created by: ksjvsba
  • Created on: 18-01-16 11:43
Total Variability
Total Sum of Squares, deviations from grand mean
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Model sums of squares (SSM)
Improvements due to model, deviations from mean to model
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Resisudal sums of squares (SSR)
Redisual variability - deviations of data from model
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When model results in better repdicion than using the mean then we expect...
SSM>SSR
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F Test (ANOVA) - Mean Sq Error = sum of sq are total val
F = MSM/MSR
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R2=
Total variance accounted for by regression
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R2=
SSM/SStT
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Outliers
3+/- SD / normally distributed
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Forced entry
all predictors entered simultaneously
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Hierarchial
Experimenter decides the order which the variables are entered
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Stepwise
predictors are selcted using their semi-partial correlation
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Other cards in this set

Card 2

Front

Improvements due to model, deviations from mean to model

Back

Model sums of squares (SSM)

Card 3

Front

Redisual variability - deviations of data from model

Back

Preview of the back of card 3

Card 4

Front

SSM>SSR

Back

Preview of the back of card 4

Card 5

Front

F = MSM/MSR

Back

Preview of the back of card 5
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