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21 Cards in this Set

  • Front
  • Back
Necessary properties of response categories
1 Mutually exclusive
2 Exhaustive
3 Relatively homogenous
heterogeneous vs homogenous
hetero- response categories spread evenly across range of response categories
homo-responses clustered into only a few categories
central tendency
single value that defines center of distribution
variation
spread or dispersion of set of scores around a central value
bimodal distribution
when 2 response categories have most response
standard deviation
mean distance of values from mean value
raw scores
original, unchanged values that are a direct result of measurement
standard scores
transformed values that are all measured according to the same metric
z scores
are a type of standardized score, indicates distance that any given raw score deviates from mean of distribution
descriptive statistics
used to describe characteristics of our population
inferential statistics
use sample data to test hypothesis about single variable or assiociation between 2 var
distribution of sample means
set of means from all possible random samples of a specific size (n) selected from a specific population
confidence intervals
specific probabilities that true population mean falls within range of sample means
construct
Hypothetical concept or attribute that cannot directly be observed. Useful for describing social phenomena
variable
Characteristic or condition that has different values for different observations
operational definition
Measurement procedure for capturing social behavior
categorical variables
Data arranged in response categories that have been determined by researcher (NOMINAL and ORDINAL measures)
numerical variables
Data are represented as numbers with no attempt to categorize them (INTERVAL measures
discrete variables
No intermediate values that fall between intervals
continuous variables
Infinite number of possible values that fall between observed values
valid percent
description of proportion of respondents who provide usable data