A measurement glossary is valuable to anyone studying at the college level, including those working through accredited online schools. These terms are especially important in statistics and courses that involve psychology or experiments because they often measure the results of those studies. The following terms cover a wide range of measurement concepts.
Absolute Risk - percentage that an event will occur within a specific amount of time.
Arithmetic Mean - the mean of a data set expressed with an algebraic formula.
Association - a correlation between two given units.
Assumptions - conditions required for validity.
Average - identifies the number or idea most often associated with a group.
Bias - things that affect the unit of measurement or study.
Binary Variable - random variable with only two values allowed.
Canonical - the reduction of a value to its most basic form.
Categorical Variable - a measured variable assigned to a specific group.
Ceiling - the highest level that a test can measure.
Coefficient of Variation - a unit of measurement dealing with the range in a data set.
Correlation - a connection between two variables in that one causes the other.
Covariance - a measurement of two different variables.
Cramer's V - the measurement of strength in a data set.
Deviance - measures the difference between the expected results and the actual results.
Deviation - the difference between the results found when compared to the expected results.
Dispersion - the amount values vary in a data set.
Eigen Values - measure the variation in a data set, based on the largest and smallest results.
Empirical Value - value determined by a statistical program.
Frequency - number of times an event or action occurs in a given amount of time.
Genetic distance - measures the genetics of a given population.
Geometric Mean - geometric process of determining the mean.
Harmonic Mean - the mean of a reciprocal in a group of numbers.
Hazard Ratio - the comparison of two groups of numbers.
IQR- Inter-Quartile Range, which specifies the dispersion of numbers in a set.
Interaction - the way two measurements work together and influence each other.
Interval Variable - measurement of a variable on a constant scale.
Kurtosis - measures when a data set reached its highest or lowest level.
Maximum Likelihood - measurement determining the likelihood of something happening.
Median - falls directly in the middle of a set of numbers, with the same exact number of things below and above.
Mode - a value that occurs most often in a series of data.
Nominal Variable - a variable with specific data that interrupts or changes the measurement.
Norm - the average number associated with the majority.
Odds - the probability that something will happen.
Outcome - the perceived results of a measurement.
Parameter - specific things identified within the measurement of a data set.
Percentile - the percentage falling below or above the norm.
Percent Score - the number of right answers given divided by the total number of questions.
Predictive Value - the value predicted or expected before a measurement.
Raw Scores - the total amount of correct answers.
Quantile - groups of numbers divided for a specific reason.
Quartile - the division of a data set into four equal groups.
Quintile - the division of a data set into five equal groups.
Range - the difference between the largest number and the smallest number in a set.
Reliability - the consistency and dependability of a test or measurement.
Repeated Measures - the process of measuring something repeatedly to check for changes.
Sample Variance - a measurement that determines the dispersion in a data set.
Standard Deviation - measure of a spread within a data set.
Standard Scores - the scores expected on a test.
Validity - the reliability of a measurement.
Find out more on measurement concepts:
- Measurement Concepts : covers measurements in relation to statistics.
- Measurement Tutorials and Lessons : offers resources on better understanding measurements and what they mean.
- Measurement Concepts : provides resources on measurement concepts such as tutorials.
Online colleges and brick and mortar colleges both use these terms frequently. The other resources provided help those confused about the ideas gain a better understanding of them. Those resources also provide additional terms relating to basic concepts of measurement.