A technique used to predict an outcome score (Y) or examine the amount of variation in outcome scores that can be explained by one predictor.
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In SPSS, B represents what?
Bo (first line: constant) and B1 (second line: gradient)
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What is SSM?
sum of squared difference of each observation from the mean.
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What is SSR?
Variability between the data and the regression model.
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What is SST and how can it be calculated?
SSM+SSR
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How can SSM be calculated?
SST-SSR
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Standardised Beta is also representative of what?
Pearson's r
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In order for H0 to be rejected in favour of H1, the F statistic must be what?
Must be equal or greater to the value in the critical F distribution table (a= 0.05)
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How do we calculate SST?
(Y- Mean of Y) sq
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How do we calculate SSR?
(Y- Y hat) sq
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How do we calculate SSM?
(Y hat - Y mean) sq
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SSM in SPSS can be found on the what row?
Sum of sqs column: Above the Error (SSR) row ; e.g. job_type
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SSR in SPSS can be found on the what row?
Sum of squares column: Error
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SST in SPSS can be found on the what row?
Sum of squares column: Corrected Total
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what is the standardised Beta?
pearson's R
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What is condition 1: mediation?
Predictor should significantly predict outcome.
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What is condition 2: mediation?
Predictor should significantly predict mediator.
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What is condition 3: mediation?
Mediator should no longer predict outcome when controlling for predictor.
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What is condition 4: mediation?
Predictor should no longer predict outcome when controlling for the mediation.
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In partial mediation, what conditions are met?
1-3
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for full mediation, what conditions are met?
1-4
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What does full mediation mean?
The relationship between two variables is fully mediated by a third variable.
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What does partial mediation mean?
There is a relationship between two variables that is partially mediated by a third variable in that there are more mediators/predictors that effect the outcome than predicted by the model.
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In mediation, where is regression two shown?
1st coefficient box
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In mediation, where are regressions 1, 3 and 4 shown?
2nd coefficient box.
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What is the enter method of regression?
All variables in model are entered and considered whether they explain significant portions of variance or not.
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What is the backward method of regression?
All variables included at first, removing variables one by one starting with the weakest (highest p value). It continues removing variables until none of the variables meet the removal criterion.
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What is the forward method of regression?
Enters variables one by one and only if it explains a significant portion of previously unexplained variance in the outcome/DV.
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Other cards in this set
Card 2
Front
In SPSS, B represents what?
Back
Bo (first line: constant) and B1 (second line: gradient)
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