Nominal
Male or female (no meaning)
Ordinal
Likert scales (ranked order) NONPARAMETRIC
Interval
Temperature (no true zero) (can’t be minus)
Ratio
Height
Widths
Decrete variable
Nominal (bar chart)
Continuous variable
Histogram
Normal distribution
Skewness
Non normal distribution
Spearman’s pho
Nominal data
Mode
Independent variable
Manipulated
Dependent variable
Measured
in a regression test
1.predicter (iv)
2.outcome (dv)
Sampling error
NOISE, unavoidable
Construct validity
Are you measuring what you think your measuring
Internal validity
Can you establish a casual inference
Statistical validity
Using the wrong test like non normally distributed data but running a pearson r
Power
How many people we need to make statistical significance
Reliability
a < 70 poor
a = .70-.79 acceptable
a = .80-.89 good
a great than than or equal too excellent
ICC (intar class correlation)
prefect for scale data
test retest reliability
testing between two time points
falsability
you can’t prove anything only ^