Psych 2800 USU Exam 3

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Psych 2800 USU Exam 3
2013-07-08 13:32:51
Psych 2800 USU Exam

Vocabulary from the study guide for exam 3
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  1. ANOVA:
    Analysis of Variance
  2. Factor:
    the variable (independent or quasi-independent) that designates the groups being compared in analysis of variance
  3. Levels:
    the individual conditions or values that make up a factor
  4. Between treatments variance:
    variability in scores that is due to differences between the levels of the independent variable
  5. Within treatments variance:
    variability in the scores that is due to measurement error or individual difference (chance)
  6. Mean squares:
    term used to describe variance in ANOVA
  7. F-ratio:
    the test statistic for the ANOVA
  8. Error term:
    the denominator of the F-ratio; provides a measure of variance due to chance
  9. Post hoc tests:
    additional hypothesis tests that are done after an analysis of variance to determine exactly which mean difference are significant and which are not
  10. Experimentwise alpha level:
    the overall probability of a Type 1 error that accumulates over a series of separate hypothesis tests – usually substantially greater than the stated or “nominal” alpha for any of the individual tests
  11. eta squared (h2):
    percentage of variance in dependent variable accounted for by the manipulation (Independent variable)
  12. Estimation:
    the inferential process of using sample statistics to estimate population parameters
  13. Point estimate:
    a single number used as an estimate of an unknown population parameter
  14. Interval estimate:
    a range of values that is used as an estimate of an unknown population parameter
  15. Confidence interval:
    an interval estimate that is accompanied by a specific level of confidence or probability
  16. Repeated measures study:
    within-subjects study - a study in which a single sample of individuals is measures more than once on the same dependent variable
  17. Matched subjects study:
    each individual in a sample is matched with an individual in the other sample; subjects are matched either because they are similar on a variable of interest (e.g., IQ, sex)
  18. Difference score:
    D = X1 – X2 – the difference between the matched scores (i.e., between the first and second scores of an individual in a repeated measures design or between the scores of the two related individuals in a matched subjects design)
  19. Estimated standard error for MD:
    the average or typical distance of a single difference score from the population difference score
  20. Carryover effects:
    participant’s response in the second treatment is altered by lingering aftereffects of the first treatment
  21. Progressive error:
    participant’s performance or response changes consistently over time