Question:Discriminant analysis seeks to identify a combination of IVs,
measured at the nominal level, which best...
Question
Discriminant analysis seeks to identify a combination of IVs,
measured at the nominal level, which best...
Discriminant analysis seeks to identify a combination of IVs,
measured at the nominal level, which best predicts membership in a
particular group, as measured by an interval DV.
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Descriptive discriminant analysis refers to the process of
classifying participants into groups based on a combination of
measures.
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The correlated linear combinations of original variables
identified in descriptive discriminant analysis are called
discriminant functions.
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If the discriminant analysis is being used for purposes of
prediction or classification, the goal of the interpretation of
discriminant functions is to determine dimensions that serve as the
basis for reliably classifying participants into groups.
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Discriminant analysis is often seen as the reverse of
MANOVA.
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In discriminant analysis, the IVs serve as the grouping
variables and the DVs are the predictors.
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If the goal of analysis is prediction, the researcher would
determine the number of dimensions that maximize the differences
among the groups in question.
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If prediction is the goal of analysis, the researcher might use
discriminant function scores in order to describe group
differences.