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four types of dependent variables?
nominal
interval
ordinal
ratio
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
SD? standard error?
measure of variability
based on SD, how different the population mean is likely to be from sample mean
correlation
amount of relation btw X and Y
when is something statistically signif effect?
p<0.05
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
independent vairables
what is manipulated
treatment
dependent variable
what is measured/expected to change
performance
what is true experiment
group randomization
can have control group with no treamtnet
quasi experiment
sometimes multiple groups
can be selective not random
not necessarily involving a control/comparison group
scientific method?
observe
question
hypothesis
procedure
experiment/data
results
conclusion
what are we doing in an experiment?
manipulate variable to see effect on other/more variables
level?
within a factor
eg 3 diff duration conditions=3 levels of the factor duration of intervention
factor?
the controlled IV
eg duration of intervention
design types
R, O, T, G
single factor
one treatment (IV, ex with puppets or without)
several levels
t test
anova
multi factor design
more than one IV
multiple groups
multiple conditions
factorial design
more than one IV
multiple groups
multiple conditions
data analysis
qualitative, themes
quantitative, inferential stats/descriptive stats/correlations/regressions
inferential stats
inductive inference with prob
quantification of uncertainty
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)
effect size
dif btw mean outcome in two groups
cohens D, odds ratio or correlation
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.