PSYCH501 Module 3

  1. between-subjects treatment factor
    an independent variable with a > 2 levels in which participants are randomized into a groups
  2. pairwise differences
    all differences among the a parameter values
  3. Bonferroni adjustment
    adjusted alpha level that allows researcher to be 100(1-α)% confident that all v confidence intervals have captured their population parameters
  4. Tukey-Kramer method
    used in a one-factor experiment to allow researhcer to exaimine all possible pairwise comparisons of population means; yields a slightly narrower CI than the Bonferroni method
  5. Games-Howell method
    similar to the Tukey-Kramer method, but does not assume equal populatin variance
  6. linear contrast
    Image Upload 1CjImage Upload 2j, where Cj is a coefficient specified by the researcher for each Image Upload 3 
  7. contrast coefficient
    the number assigned to each Image Upload 4 in a linear contrast 
  8. standardized linear contrast
    a linear contrast that has been divided by the standardizer so that it is a unitless measure
  9. one-way analysis of variance
    a method of assessing the sources of variability in a one-factor designed where the variability is due to the variance of scores within treatments and the mean differences across treatments
  10. between group mean square
    the variance due to mean differences across treatments
  11. error mean square
    variance of scores within a treatment group, describes the variance due to chance and error
  12. eta-squared
    describes the proportion of DV variance in the population that is explained by the IV
  13. omega-squared
    an adjustment of eta-squared that is less positively biased
  14. two-factor experiment
    used to assess the causal effect of two IV's on the DV as well as the effect of the interaction of the two IV's
  15. classification factor
    a factor with levels to which participants are classified according to some existing characteristic
  16. main effect
    the effect of one IV averaged across the levels of the other IV
  17. interaction effect
    occurs when the effect of factor A is not the same across the levels of factor B
  18. simple main effect
    the difference in means at each level of each IV
  19. stratified random sampling
    random samples are taken from two or more different study populations that differ geographically or in other demographic characteristics
  20. pairwise main effect comparisons
    comparing the effects of one level of a treatment factor to all other levels of the same treatment factor averaged over the levels of the other treatment(s).
  21. pairwise interaction effects
  22. pairwise simple main effects
    a comparison between the mean in any two cells of a factorial experiment
  23. two-way analysis of variance
    assesses the source of variability in a factorial design, where the variabiliyt of DV scores is due to: the variance in difference of means across the levels of factor A, the variance in difference of means across the levels of factor B, the variance due to the AB interaction, and the variance of scores within treatments
  24. partial eta-squared
    measure of the proportion of variability due to the effect of one factor in a factorial design where the effects of all other factors has been removed
  25. partial omega-squared
    an adjustment of partial eta-squared that is less positively biased
  26. three-factor experiment
    an experiment that examines the effects of three different factors to provide information about main effects, simple main effects, and interactions (two-way or three-way)
  27. three-way interaction
    a difference in simple two-way interaction effects 
  28. simple-simple main effect
    the difference in means between two levels of any treatment factor in a three-way design
  29. three-way analysis of variance
    the decomposition of the total variance in a three-fator design
  30. random factor
    occurs when the levels of a factor are randomly selected from a large set of M possible factor levels
  31. fixed factor
    occurs when the levels of a factor are deliberately selected by the researcher and are the only factor levels of interest
  32. clustered bar chart
    a visual representation of a two-factor design in which the means for the levels of one factor are represented by a cluster of contiguous bars and the levels of the second factor are represented by different clusters
Card Set
PSYCH501 Module 3
definitions for module 3