-
nominal scales
- coding of categorical data
- (i.e. males=1 females=2)
-
Ordinal Scale
- ranked order of data
- (i.e. class rank from highest to lowest)
-
Interval Scale
- ranked order with the difference between values
- (i.e. 2, 3, 4 have an interval of 1 between each and no absolute value)
-
Ratio Scale
- comparative data that is interval-level with an absolute zero
- (i.e. person a is 5' and person b is 4' then person a is 1' taller than person b)
-
Normal Distribution
the variance between individual scores/scale values are normallu distributed in the general population (i.e. 95% distributed symetrically under a bell curve)
-
Alpha Level
- Reports that data found would occur due to chance X times out of 100.
- Correspond to p-values (i.e. 5 out of 100 times due to chance = .05)
-
Sample Distributions
a distribution of actual data or test scores (mean, SD, variance)
-
Sampling Distribution
- theoretical distibutions with mean, variance, & SD.
- used to set alpha levels for a statistical test; used to determine acceptance or rejection of the null hypothesis.
-
Correlation
- describes the strength and direction (vector) of a linear value between two variables.
- if one variable rises in value and the second rises proportionally then it is a positive manner correlation. However, if one variable rises in value and one decreases in value the the correlation is negative manner.
-
Linear Regression
requires the indication of one variable is dependant on another variable (a predictor).
-
z score
- standardized score with a mean of zero and a SD of 1.
- z score = (raw score - mean)/SD
-
T score
- converted z score.
- New distribution score = (z score x SD new) + New Mean.
-
Construct
"an idea or perception resulting from a synthesis of sense impressions."
-
construct cleanliness
- occures when the construct evaluates what they are supposed to.
- when imperfections occur there are two types of imperfections: deficiency (when a measure does not cover the domain of a construct in its entirety); and contamination (when a measure contains material that should not be a part of the construct).
|
|