Question

1. 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.

T

F

2. Descriptive discriminant analysis refers to the process of classifying participants into groups based on a combination of measures.

T

F

3. The correlated linear combinations of original variables identified in descriptive discriminant analysis are called discriminant functions.

T

F

4. 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.

T

F

5. Discriminant analysis is often seen as the reverse of MANOVA.

T

F

Answer 1

t iscsimi nanalysis seeKs to 'dentty a tom binan ws t false beaube indremdent vJangjables ae meadusedon lntetvat scale Drpendent Janfabls atem-ta^useJ an nominal gcale 3he osselated ineans Combinaltans andahsis arstablesidentified dscaml nant ave caulad dis csiminant funion

4 hdi aminat be used toy cass Acaion, the the unterpsetation 4 discriminant fun ons it u -hue Statement 7Otscaiminant anysis ten Seen a Yevesse t false statent