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nominal
categorical, no values
ordinal
categorical with rankings,
interval
equal intervals, temperature
ratio
true zero, equal intervals, order, weight
p-value
reject null when greater than or equal to .05
parametric tests
when distribution is normal, t-test and ANOVA
nonparametric tests
when you cant assume normal distribution, chi square
test for difference
chi square, t test, anova
test for relationships
simple regression, correlation, multiple regression
t test requirements
categorical IV, continuous DV, normal distrubution, parametric
independent t test
compare two groups at the same time
paired sample t test
compare means of a group at different times
anova requirements
two or more groups, nominal IV, continuous DV, F symbol
between subjects design
each participant measured at only one level of only one condition
within subjects design
each participant exposed to every condition
validity
the degree to which a study accurately measures what it intends to measure
Reliability
the consistency and repeatability of findings or measurements
Measures of central tendency
Mean, median, mode
Measures of dispersion
Range, standard deviation, variance
correlation
two continuous variables moving together, little r
regression
two or more continuous variables, prediction and explains changes
strong correlation coefficients
.8 to 1
correlation assumptions
continuous variables, linear relationships, normal distribution, no outliers
multiple regression
one DV and multiple IVs
measures of shape
symmetry, skew, modality, kurtosis
kurtosis
how peaked the distribution is
leptokurtic
high peak, majority of data in one or two points
platykurtic
lowest, looks flat
mesokurtic
normal distribution
control group
group where variable is not being tested
treatment group
receives treatment or intervention being studied
deductive research
starts with a theory, quantative
inductive research
starts broad then makes theories, qualitative
type 1 error
false positive
type 2 error
false negative