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A Step by Step Guide for SPSS and Exercise Studies

A Step by Step Guide for SPSS and Exercise Studies

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Statistical tests 123<br />

Dialog box 83<br />

is particularly useful <strong>for</strong> hierarchical regression analysis. Collinearity diagnostics<br />

estimate whether some of the independent variables have very high<br />

correlations with other independent variables (i.e., multicollinearity). The<br />

Durbin-Watson test under Residuals tests the assumption that the residuals in the<br />

regression analysis are independent (see assumptions of residual analysis under<br />

General Linear Model/Univariate in the Analyze menu). Values that deviate<br />

from 2 indicate a non-independence of residuals. The Durbin-Watson test also<br />

provides a table with descriptive statistics <strong>for</strong> predicted values <strong>and</strong> residuals.<br />

Lastly, casewise diagnostics identifies cases with very large st<strong>and</strong>ardised<br />

residuals. These cases are outliers.<br />

The Save option in Dialog box 82 creates new variables in the data file which<br />

can be used to examine the assumptions of regression analysis (Dialog box 85).<br />

You can save the unst<strong>and</strong>ardized <strong>and</strong> st<strong>and</strong>ardized values predicted <strong>for</strong> each<br />

case of the dependent variable. You can also save the predicted value <strong>for</strong> a<br />

particular case when this case has not been used in the regression analysis<br />

(adjusted). If the predicted values change considerably you may need to revisit<br />

the particular case as it exerts a heavy influence on the results of the regression<br />

Dialog box 84

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