interval scale

(redirected from Level of measurement)
Also found in: Dictionary, Thesaurus, Encyclopedia, Wikipedia.


1. a thin flake or compacted platelike body, as of cornified epithelial cells. See also squama.
2. a scheme or device by which some property may be measured (as hardness, weight, linear dimension).
3. to remove incrustations or other material from a surface, as from the enamel of teeth.
absolute scale (absolute temperature scale)
1. one with its zero at absolute zero (−273.15°C, −459.67°F).
ASIA scale a descriptive tool developed by the American Spinal Injury Association (ASIA) as a part of the complete classification of patients with spinal cord injuries. Called also Frankel Classification. See accompanying table.
Bayley S's of Infant Development a psychological test for assessing development of infants, using motor, mental, and behavioral developmental scales.
Borg scale a numerical scale for assessing dyspnea, from 0 representing no dyspnea to 10 as maximal dyspnea.
Brazelton Neonatal Behavioral Assessment scale a behavioral assessment scale used to evaluate the interactive behavior of a newborn by its responses to environmental stimuli.
Celsius scale (C) a temperature scale with zero at the freezing point of water and the normal boiling point of water at 100 degrees. The abbreviation 100°C should be read “one hundred degrees Celsius.” (For equivalents of Celsius and Fahrenheit temperatures, see Appendix.)
centigrade scale one with 100 gradations or steps between two fixed points, as the Celsius scale.
Fahrenheit scale (F) a temperature scale with the freezing point of water at 32 degrees and the normal boiling point of water at 212 degrees. The abbreviation 100°F should be read “one hundred degrees Fahrenheit.” (For equivalents of Fahrenheit and Celsius temperatures, see Appendix.)
French scale one used for denoting the size of catheters, sounds, and other tubular instruments, each French unit (symbol F) being approximately 0.33 mm in diameter.
Glasgow Coma scale a standardized system for assessing response to stimuli in a neurologically impaired patient, assessing eye opening, verbal response, and motor ability. Reaction scores are depicted in numerical values, thus minimizing the problem of ambiguous and vague terms to describe the patient's neurologic status. (See accompanying Table.) The total score is obtained by adding E, M, and V; a score of 7 or less indicates coma and a score of 9 or more rules out coma.
Global Assessment of Functioning (GAF) scale a hundred-point scale used as axis V of DSM-IV to assess a client's recent and current levels of social, psychological, and occupational functioning.
gray scale a representation of intensities in shades of gray, as in gray-scale ultrasonography.
interval scale a scale having equal numerical distances between intervals in addition to mutually exclusive categories, exhaustive categories, and rank ordering but no zero point.
Karnofsky scale (Karnofsky performance scale) a widely used performance scale, assigning scores ranging from 0 for a nonfunctional or dead patient to 100 for one with completely normal functioning.
Kelvin scale an absolute scale in which the unit of measurement, the kelvin, corresponds to that of the Celsius scale; therefore the ice point is at 273.15 kelvins.
Likert scale a tool used to determine opinions or attitudes; it contains a list of declarative statements, each followed by a scale on which the subject is to indicate degrees of intensity of a given feeling.
Neonatal Behavior Assessment scale Brazelton Neonatal Behavioral Assessment Scale.
performance scale a scale that measures a patient's performance status, serving as a prognostic indicator of seriousness of disease or disability. The most widely used scale is the Karnofsky scale.
Problem Rating scale for Outcomes see problem rating scale for outcomes.
semantic differential scale a measurement device that consists of two opposite adjectives with a seven-point scale between them; each item under examination is assigned to a specific point on the scale.
temperature scale one for expressing degree of heat, based on absolute zero as a reference point, or with a certain value arbitrarily assigned to such temperatures as the ice point and boiling point of water.
Miller-Keane Encyclopedia and Dictionary of Medicine, Nursing, and Allied Health, Seventh Edition. © 2003 by Saunders, an imprint of Elsevier, Inc. All rights reserved.

in·ter·val scale

like a temperature scale in Celsius or Fahrenheit units, a scale on which the intervals are equal but which has an arbitrary zero point; for example, intelligence quotient values are values along an interval scale.
Farlex Partner Medical Dictionary © Farlex 2012
References in periodicals archive ?
Level of measurement refers to the unit to which the data are directly attached, whereas level of analysis is the unit to which the data are assigned for hypothetical testing and statistical analysis (Rousseau, 1985).
Frequently in organizational research there is theory to support both level of measurement and level of analysis at the individual, group, and/or organizational level.
In addition, while OCB has so far been operationalized primarily as a dependent variable at the individual level of measurement and analysis, some interesting group single-level research would involve OCB as a group-level independent variable and organizational effectiveness as a group-level outcome variable.
Rather, the argument is that level of analysis, level of measurement and level of theory are extremely important issues in OCB research.
The third level of measurement, interval, must meet the requirements of nominal and ordinal data but also must have equal numerical distances between intervals of the scale underlying the measurement.
The mode or the score or measurement that occurs most frequently is the only measure that is appropriate for data at the nominal level of measurement. However, it can be used to describe data at higher levels of measurement.
Which statistics to use depends on several considerations, including the purpose(s) of the study, number and type(s) of variables, level of measurement, method of selecting the sample, the distribution of the variables of interest, and the number of groups involved.
In addition to the purpose(s) and the number and type of variables, a third consideration is the scale or level of measurement used to measure the variables.
For purposes that address differences and have only one dependent measure, such univariate statistics as t tests, ANOVAs, McNemar's test, chi-square, or Kruskal-Wallis one-way analysis of variance, might be appropriate depending on the level of measurement. For purposes that address relationships, such techniques as Spearman rank correlations, Pearson product moment correlations, simple linear regression, and multiple regression might be used.
Obviously, losses could be dramatically higher with higher commodity costs and/or a higher level of measurement error.