Analysis of Covariance - PowerPoint PPT Presentation

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Analysis of Covariance

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Example Fale Trout Heads from 2 Lakes (Environments) Units: Female Fish Sampled from Lakes ... Trout Head-Length Data. Testing for Lake Effect, Controlling ... – PowerPoint PPT presentation

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Title: Analysis of Covariance


1
Analysis of Covariance
  • Comparison of Head-Lengths for Trout from 2 Lakes
  • Source C. McC. Mottley (1941). The Covariance
    Method of Comparing the Head-Lengths of Trout
    From Different Environments, Copeia, Vol.1941,
    3, pp.154-159.

2
Analysis of Covariance
  • Goal To Compare 2 or More Group/Treatment Means
    for One Variable, after controlling for one or
    more concomitant variables/Covariates
  • Procedure Fit a Regression Model Relating
    Response to Group (Using Dummy Variables) and
    Covariate(s)
  • Adjusted Means Fitted Values from regression for
    each group evaluated at common value(s) of
    covariate(s), typically at the mean value(s)
  • Treatments can be combinations of factors in a
    Factorial Structure
  • Model

3
Example Fale Trout Heads from 2 Lakes
(Environments)
  • Units Female Fish Sampled from Lakes
  • Response Variable Head Length (mm)
  • Groups Environments (Kootenay Lake, Wilson Lake)
  • Covariate Standard-Length (mm)
  • Samples n1 50 from Kootenay, n2 10 from
    Wilson
  • Transformation Base10 logarithms of Head-Length
    and Fish-Length Taken for Biological Reasons
  • Summary Statistics

4
T-test Ignoring Covariate
5
T-test Ignoring Covariate
6
Adjusting for Body Length
7
Adjusted Means
  • Goal Compare Means Head Lengths after adjusting
    for Body Lengths
  • Start with the Unadjusted Mean, and Subtract off
    the product of the slope from the regression and
    the difference between the group mean and the
    overall mean for the covariate. Effect of
    adjustment (assuming positive slope)
  • Adjust down for groups with high levels of
    covariate
  • Adjust up for groups with low levels of covariate

8
Trout Head-Length Data
9
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10
Testing for Lake Effect, Controlling for Body
Length
  • Null Hypothesis No difference in mean head
    lengths for 2 lakes, controlling for Body Length
    (b1b2)
  • Alternative Hypothesis Lake Means Differ (b1?b2)
  • Step 1 Fit Full Model Under HA and obtain
    SSE(F), dfE(F)
  • Step 2 Place Restriction under H0 and fit model
    forcing b1b2 and obtain SSE(R) and dfE(R)

11
Trout Head Size Data
ANOVA for Full Model
ANOVA for Reduced Model
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