Chapter 8 Flashcards
the process of using data and analytical systems to arrive at optimal decisions, including statistical analyses of data.
Data Analytics
the process of assigning numbers according to some rule or convention to aspects of people, jobs, job success, or aspects of the staffing system.
Measurement
the numerical outcomes of measurement.
Data
information about measures used to make projections about outcomes.
Predictive Data
information about important outcomes of the staffing process.
Criterion Data
a measurement in which numbers are assigned to discrete labels or categories.
Nominal Measurement
a measurement in which attributes are ranked by assigning numbers in ascending or descending order.
Ordinal Measurement
a measurement in which the distance between scores on an attribute has meaning.
Interval Measurement
a measurement in which the distance between scores has meaning; it includes a true and meaningful zero point.
Ratio Measurement
the unadjusted scores on a measure.
Raw Scores
measures in which the scores have meaning in and of themselves.
Criterion Referenced Measures
measures in which the scores have meaning only when compared to the scores of others.
Norm Referenced Measures
a curve representing the bell-shaped symmetrical distribution of some factor.
Normal Curve
the distribution of scores under the normal curve.
Normal Distribution
a raw score that has been converted into an expression of the percentage of people who score at or below that score.
Percentile Score
the midpoint, or center, of the data.
Central Tendency
a measure of central tendency reflecting the average score.
Mean
the middle score, or the point below which 50% of the scores fall.
Median
the most commonly observed score.
Mode
a measure that describes the “spread” of the data around the midpoint.
Variability
the difference between the highest and lowest observed score.
Range
a score that is much higher or lower than most of the scores in a distribution.
Outlier
a mathematical measure of the spread based on squared deviations of scores from the mean.
Varience