Systematic Variance

A Systematic Variance is a variance metric that is expected by experiment.

• AKA: Expected Variance, Explained Variance.
• Context:
  • It can be measured as a standard deviation or sum of squares.
• Example(s):
  • Difference between Means Variance.
  • Variance between Groups.
• Counter-Example(s):
  • Random Variance.
  • Variance within Groups.
• See: Test Statistic, Population Sample, F-statistic, t-statistic Comparison of Means Test.

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References

2016

• (Changing Minds, 2016) ⇒ http://changingminds.org/explanations/research/analysis/test_statistic.htm
  • QUOTE: Systematic variance is that due to deliberate experimental actions. For example the 'after' score may be different to the 'before' score, the 'control' score or some segmentation of subjects (eg. male/female). Systematic variance is generally measures as the difference between groups, for example comparing the means of a set of samples. Systematic variance is often denoted as SSM, where 'M' stands for 'Model'. (An easier way of remembering it is that it is what was Meant to be).

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