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Examples

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What tests do we want to do? SPSS Syntax. MIXED. y1 BY block herb WITH om1 ... EMMEANS = TABLES(herb) with (om1=1) . Test that the variance of blocks = 0 ... – PowerPoint PPT presentation

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Title: Examples


1
Examples
2
Randomized Complete Block with a Covariate
3
RCB with Covariate Measured on Each Experimental
Unit Ex9.2
4
Model 1
  • What are the population parameters?
  • What tests do we want to do?

5
SPSS Syntax
MIXED y1 BY block herb WITH om1 /CRITERIA
CIN(95) MXITER(100) MXSTEP(5) SCORING(1)
SINGULAR(0.000000000001) HCONVERGE(0, ABSOLUTE)
LCONVERGE(0, ABSOLUTE) PCONVERGE(0.000001,
ABSOLUTE) /FIXED herb herbom1 NOINT
SSTYPE(3) /METHOD REML /PRINT COVB
LMATRIX SOLUTION TESTCOV /RANDOM block
COVTYPE(VC) /test(0) "b1b2" all 0 0 1 -1
/EMMEANS TABLES(herb) with (om11) . Test
that the variance of blocks 0
6
RCB with Covariate Measured on the Block EX 11.7
7
Model 2
  • What are the population parameters?
  • What tests do we want to do?

8
Data in Correct Format
9
SPSS SYNTAX
MIXED y1 BY BLK treat WITH X /CRITERIA
CIN(95) MXITER(100) MXSTEP(5) SCORING(1)
SINGULAR(0.000000000001) HCONVERGE(0, ABSOLUTE)
LCONVERGE(0, ABSOLUTE) PCONVERGE(0.000001,
ABSOLUTE) /FIXED treat Xtreat NOINT
SSTYPE(3) /METHOD REML /PRINT G LMATRIX R
SOLUTION TESTCOV /RANDOM BLK COVTYPE(VC)
/EMMEANS TABLES(treat) COMPARE ADJ(BONFERRONI)
. Test that the variance of blocks 0
10
AssignmentUse data from exercise11.1(under
Dallas-jo)
  • Give model
  • Run analyses
  • Test if slopes are equal
  • Test that the variance of blocks 0
  • Graph y versus x with markers treat
  • Test the regression lines at x .4,.6 and .8

11
Split Plot Design
  • No Covariate

12
Figure 15.1
13
Model
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Data Ignore Moist
15
Restructured
16
Split Plot Design
  • With Covariate

17
Figure 15.1
18
Model
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Data
20
Restructured
21
AssignmentUse data from exercise15.8(under
Dallas-jo)
  • Give model
  • Run analyses
  • Test if slopes are equal
  • Test that the variance of blocks 0
  • Graph y versus x with markers treat

22
Layout
23
Repeated Measures
  • With and Without a Covariate

24
Example 16.6
25
Another look
26
Model
27
Type of Covariance Matrices
  • VC
  • CS
  • CSH
  • AR1
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