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Lecture #8

 

1. Nonorthogonal Planned and Posteriori Comparisons

 

Other restrictions

 

Testing (p-1) contrasts with a control-group mean

 

Testing C contrasts

 

none

 

Dunnett's test

 

Dunn, Dunn- test

Holmís test

 

Unequal n's or

heterogeneous variances

 

Dunnett's test with

modifications

 

Dunn- test with Welch df

Holmís test with Welch df

 

Other restrictions

 

Testing all pairwise contrasts

 

Testing pairwise contrasts of ordered means

 

None

 

Tukey's test

Fisher-Hayter test

 

Newman-Keuls Test

 

2. Holmís sequentially rejective Bonferroni Test

 

Is a step-down version of the Dunn procedure

First it rank-orders the magnitude of the test statistic (p. 143) based on Dunnís procedure

Tests the largest with a critical t value at the a FW/C level. In other words, tests the largest mean difference with Dunn-Sidakís MSD where is obtained with C=total number of comparisons.

Tests the second largest with a critical t value at the a FW/(C-1) level. Or alternatively, tests the second largest mean difference with Dunn-Sidakís MSD where is obtained with C-1 comparisons.

Continues this process until no significant mean difference is found or the smallest mean difference is tested with the old-fashioned Studentís t with df= and C=1.

Controls the familywise type-I error rate at a level less than .

This procedure has not been implemented by SAS yet. So you are back to the old, by-hand method!

 

 

3. Dunnettís Multiple Comparison Test (Section 4.3 in Kirk)

Always tests (p-1) pairwise comparisons

Comparisons are formed between (p-1) group means against a control

Controls the type-I error rate at the familywise level

Requires all sample sizes be equal (a harmonic average of different nís may be substituted)

Declares a pair-wise comparison to be significant if it exceeds the following critical difference:

MSD= , where critical value is obtained from Table E.7 (p. 810-811)

 

This test can be carried out as a two-tailed test as well as a one-tailed test by SAS.

SAS commands for carrying out the two-tailed Dunnettís Procedure:

PROC GLM;
CLASS treat;

MODEL score=treat;

MEANS treat/DUNNETT ('4') ALPHA=.10;

 

SAS commands for carrying out the one-tailed Dunnettís Procedure:

PROC GLM;
CLASS treat;

MODEL score=treat;

MEANS treat/DUNNETTL ('4') ALPHA=.10;

or

MEANS treat/DUNNETTU ('4') ALPHA=.10;

 

4. Assignments:

(1) Review Sections 4.4 and 4.5 in Kirk.

(2) Apply Holmís procedure to questions 2,3,4,5,7, and 8 from Chapter 5 in Kirk, assume C=number of all pairwise comparisons.

(3) Apply the Dunnett procedure to questions 2,3,4,5,7, and 8 from Chapter 5 in Kirk. For questions 3, 5, 7, and 8, conduct a two-tailed Dunnett test using the first group as the control group. For questions 2 and 4, assume the control group is the last group and carry out a one-tailed test.

(4) Preview Sections 4.5, 4.7, and 4.8 in Kirk.

 



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