Jack R. Fraenkel,
San Francisco State University
Norman E. Wallen,
San Francisco State University
| Coefficient of determination | The square of the correlation coefficient. It indicates the degree of relationship between two variables.
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| Coefficient of multiple correlation | An index of the strength of the relationship among a combination of predictor variables and the criterion variable.
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| Correlation coefficient | A decimal number between .00 and +1.00 and –1.00 that indicates the degree to which two quantitative variables are related.
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| Criterion variable | The variable that is predicted in a prediction study; also any variables used to assess the criterion-related validity of an instrument.
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| Discriminant function analysis | A statistical procedure for predicting group membership (a categorical variable) from two or more quantitative variables.
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| Factor analysis | A statistical method for reducing a set of variables to a smaller number of factors.
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| Multiple regression | A technique using a prediction equation with two or more variables in combination to predict a criterion (y = a + b1X1 + b2X2 + b3X3...).
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| Partial correlation | A method of controlling the subject characteristics threat in correlational research by statistically holding one or more variables constant.
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| Path analysis | A type of sophisticated analysis investigating causal connections among correlated variables.
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| Prediction | The estimation of scores on one variable from information about one or more other variables.
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| Prediction equation | A mathematical equation used in a prediction study.
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| Prediction studies | Attempts to determine variables that are related to a criterion variable.
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| Predictor variable | The variable from which projections are made in a prediction study.
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| Regression line | The line of best fit for a set of scores plotted on coordinate axes (on a scatterplot).
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2003 McGraw-Hill Higher Education