experimental designs

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23 Terms

1
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four types of dependent variables?

  • nominal

  • interval

  • ordinal

  • ratio

2
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what is mean, median, mode?

  • mean is average of all numbers in data set

  • median is 50th percentile, middle number in data

  • mode is number appearing most often in data set

3
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SD? standard error?

  • measure of variability

  • based on SD, how different the population mean is likely to be from sample mean

4
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correlation

  • amount of relation btw X and Y

5
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when is something statistically signif effect?

p<0.05

6
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p value

  • probabiilty that nay particular outcome would have arisen by chance

  • high p value means data is likely with a true null (0.78)

  • low p value means data is unlikely a true null (0.042)

  • btw 0 and 1 for chance

7
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independent vairables

  • what is manipulated

  • treatment

8
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dependent variable

  • what is measured/expected to change

  • performance

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what is true experiment

  • group randomization

  • can have control group with no treamtnet

10
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quasi experiment

  • sometimes multiple groups

  • can be selective not random

  • not necessarily involving a control/comparison group

11
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scientific method?

  • observe

  • question

  • hypothesis

  • procedure

  • experiment/data

  • results

  • conclusion

12
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what are we doing in an experiment?

  • manipulate variable to see effect on other/more variables

13
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level?

  • within a factor

  • eg 3 diff duration conditions=3 levels of the factor duration of intervention

14
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factor?

  • the controlled IV

  • eg duration of intervention

15
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design types

R, O, T, G

16
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single factor

  • one treatment (IV, ex with puppets or without)

  • several levels

  • t test

  • anova

17
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multi factor design

  • more than one IV

  • multiple groups

  • multiple conditions

18
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factorial design

  • more than one IV

  • multiple groups

  • multiple conditions

19
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data analysis

  • qualitative, themes

  • quantitative, inferential stats/descriptive stats/correlations/regressions

20
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inferential stats

  • inductive inference with prob

  • quantification of uncertainty

21
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two types of error

  • type I (false pos, maybe alpha level set too high .10)

  • type II (false neg, maybe alpha level set too low, 0.01)

22
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effect size

  • dif btw mean outcome in two groups

  • cohens D, odds ratio or correlation

23
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Confidence interval

Plausible values for the true population average or treatment
effect, given the observed data.
• Level often 95%: If you repeat this experiment 100 times, the
means of each sample will tend to fall within the given range 95
times out of 100.