Chapter 13 Statistics - Organising the Data Flashcards
Raw data/scores
Untreated, uncovered values obtained directly from measuring process used in a study
Categorical Variable
Variable where cases are merely placed into independent, separate categories
Measured Variable
Variable where cases measured on it are placed on some sort of scale that has direction
Levels of Measurement
Levels at which data are categorised or measured
Nominal
Level of measurement at which numbers are only labels for categories
Ordinal
Level of measurement at which cases are arranged in rank positions
Interval
Level of measurement at which each unit on a scale represents an equal change in the variable measured
Coding
Giving ‘dummy’ numbers to discrete levels of an independent variable
Frequency data/frequencies
Numbers of cases in specific categories
Quasi-Interval Scale
Scale that appears to be interval by where equal intervals do not necessarily measure equal amounts of the construct
Ratio Scale
Interval-type scale where proportions on the scale are meaningful; usually an absolute zero exists
Median Split Method
Dividing a set of measured values into two groups by dividing them into high and low at their median
Continuous Scale/Variable
Scale where there are no discrete steps; theoretically, all points along the scale are meaningful
Discrete Scale/Variable
Scale on which not all subdivisions are meaningful; often one where the underlying construct to be measured can only come in whole units (e.g. number of children)
Data Set
Group of data points or values which can be summarised or analysed