文档介绍：Process Evaluation with Categorical Data
Module Objectives
Review Tools to evaluate Y=f(X) when
Y is:
X is:
One factor, one level
One proportion test
Sign test
Rank sum test
One factor, two levels
Two proportion test
One factor, multiple levels
Analysis of Means
Chi-Square Goodness of Fit
Logistic Regression
Two factor, multiple levels
Contingency Tables
Multiple factor, multiple levels
Application of DOE
teg
or
i
Ca
cal
2
The Master Black Belt as Expert
Throughout anization, project leaders will be asking for your help to plan and execute data analysis
Many of these requests will involve the manipulation of categorical data, for both input and outputs
Tools for continuous data:
Means testing
Variance testing
Shape testing
Are not applicable !!!!!
Other tools specially geared for categorical data are needed
3
Categorical vs. Variable Data
Scale
Description
Examples
Statistical Tools
Nominal
Discrete:
Unordered Categorical Data
No interval info.
Pass/Fail
Count Data
Attribute Data
Yield Data
Chi2 Test
Contingency Tables
1- & 2-proportion tests
Ordinal
Discrete:
Ordered Categorical Data
No interval info.
Good/Better/Best
Likert Scales
Small/Med/Large
Scale of 1 to 5
Nominal tests plus:
Sign Test
Wilcoxon Rank-Sum
Wilcoxon Signed-rank
Interval
Continuous:
Equal intervals;
No absolute zero.
Temperature (°C)
Position
Ordinal tests plus:
ANOVA Chi2 Test
DOE Mood’s
z & t tests F test Regression
Kruskal-Wallis & More…
Ratio
Continuous:
Equal intervals;
Absolute zero.
Dimensions
Pressure
Concentration
Increasing Information
Distributions are discrete or continuous.
4
Nature of Transactional Projects
trans·ac·tion Function: noun 1 a : something transacted; especially : an exchange or transfer of goods, services, or funds
2 a : an act, process, or instance of transacting b : municative action or activity involving two parties or things that reciprocally affect or influence each other - trans·ac·tion·al /-shn&l, -sh&-n&l/ adjective