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Flashcards

Tests of Differences: Parametric

Alessandra poirier Research class Masters English 13 cards

Cards in this deck (13)

  1. 1What are the types of parametric tests of differences1. Independent t-test
    2. One-Way ANOVA
    3. Paired t-test
    4. Repeated Measures ANOVA
    5. Analysis of covariance (ANCOVA)
    6. MANOVA
  2. 2Why use an Independent t-testTo see differences between 2 groups.
    comparison of characteristics
  3. 3Limitations of an Independent t-test-normally distributed data
    -equal variances between groups
    -independent of scores from one another
  4. 4Why One-Way ANOVAdifferences between 2 or more groups
    -IV has 2 or more levels, but only 1 DV.
  5. 5Limitations of a One-Way ANOVA- normally distributed data
    - equal variance between groups
    -Independent of scores from one another
    -3 or more groups will not tell you where the difference is (need post hoc testing)
  6. 6Why Paired T-Test-see differences WITHIN same group over TIME
    -pretest/posttest designs in which subjects act as their own control group.
  7. 7limitations of a Paired T-Testnormally distributed data
  8. 8Why Repeated Measures ANOVA-differences among repeated measures on subjects WITHIN the same GROUP
    -repeated measures design in which the IV has 2 or more levels AND subjects act as their own control
    - factorial designs with more than 1IV but ONLY 1 DV
  9. 9Limitations of a Repeated Measures ANOVAnormally distributed data
    3 or more time points will not tell you where the difference is (need post hoc testing)
  10. 10Why Analysis of covariance (ANCOVA)differences among 2 or more groups while controlling for variables
    -designs where the IV has 2 or more levels, but only 1 DV
  11. 11Limitations of an Analysis of covariance (ANCOVA)-normally distributed data
    -Covariates should not be correlated linearly
    -covariates can be nominal, interval or ratios
  12. 12Why MANOVA-a difference in two or more outcomes among two or more groups
    -Designs when the IV has 2 or more levels
    -Factorial designs with more than one IV
    -Use when there is MORE than one DV
  13. 13Limitations for MANOVA-Normally distributed data
    -Three or more groups will not tell you where difference is (need post hoc testing)

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Masters Research class Flashcards on Tests of Differences: Parametric, created by Alessandra poirier on 18/07/2017.
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