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1 results

  • Some Approximate Tests for Repeated Measurement Designs

  • Huynh Huynh
  • Journal:
    Psychometrika / Volume 43 / Issue 2 / June 1978
    Published online by Cambridge University Press:
    01 January 2025, pp. 161-175

  • Four approximate tests are considered for repeated measurement designs in which observations are multivariate normal with arbitrary covariance matrices. In these tests traditional within-subject mean square ratios are compared with critical values derived from F distributions with adjusted degrees of freedom. Two of them—the ∈ approximate and the improved general approximate (IGA) tests-behave adequately in terms of Type I error. Generally, the IGA test functions better than the ∈ approximate test, however the latter involves less computations. In regards to power, the IGA test may compete with one multivariate procedure when the assumptions of the latter are tenable.