Categorieën: Alle - evaluation - technique - redundancy - classification

door jason kyle 16 jaren geleden

215

Chapter 15Multivariate

In the realm of data analysis, various techniques are employed to understand relationships and dependencies among multiple variables. Factor analysis is pivotal in reducing redundancy by grouping variables that share common factors.

Chapter 15Multivariate

Chapter 15Multivariate

Analyze interdepenency

Multidimensional scaling
Measures distance fromideal and actual points
objective
Cluster Analysis
dimension free classifications
effective in discovery stages
Factor analysis
reduces redundency bygrouping variables with thesame factors

MIDLAND MEADOWS

Cluster analysis would allow Glen tosegment golfers view towards small golf courses
MONANOVA could be used to evaluategolfers feelings towards optional featureson the course

Select a technique

Measure interdependencies
at least interval
Ordinal or less
Measure dependencies
Interval
Nominal

MONANOVA

used extensively in marking research
measures the weights of effect by the interdependent var

MANOVA

takes into effect of the relationships between depen vars.
more effective than anovas on each variable
used to measure the effect on two or more dependent

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