# variable

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Related to Control variables: independent variable

## variable

[var´e-ah-b'l]
something that changes; an attribute or property of a person, event, or object that is known to vary in a given study.
dependent variable in a mathematical equation or relationship between two or more variables, a variable whose value depends on those of others; it represents a response, behavior, or outcome that the researcher wishes to predict or explain.
extraneous variable a factor that is not itself under study but affects the measurement of the study variables or the examination of their relationships.
independent variable in a mathematical equation or relationship between two or more variables, any variable whose value determines that of others; it represents the treatment or experimental variable that is manipulated by the researcher to create an effect on the dependent variable.
Miller-Keane Encyclopedia and Dictionary of Medicine, Nursing, and Allied Health, Seventh Edition. © 2003 by Saunders, an imprint of Elsevier, Inc. All rights reserved.

## var·i·a·ble

(var'ē-ă-bĕl),
1. That which is inconstant, which can or does change, as contrasted with a constant.
2. Deviating from the type in structure, form, physiology, or behavior.
[L. vario, to vary, change, differ]
Farlex Partner Medical Dictionary © Farlex 2012

## variable

(vâr′ē-ə-bəl, văr′-)
1.
a. Likely to change or vary; subject to variation; changeable.
b. Inconstant; fickle.
2. Biology Tending to exhibit genetic variation or variation in a physical trait: geographically variable color patterns.
3. Mathematics Having no fixed quantitative value.
n.
Something that varies or is prone to variation.

var′i·a·ble·ness n.

## variable

(1) Any attribute, phenomenon or event that can have different qualitative or quantitative values. Typically, a form of metadata goes with the variable, there is a variable definition that describes what is varying and there is a value for the variable. Variables are typically assessed in a clinical trial.
(2) In Study Data Tabulation Model (SDTM), variables describe observations with roles that determine the type of information conveyed by the variable about each observation and how it can be used.

In SDTM, variables include specific subtypes used in clinical research: "study variable" in trial design refers to a variable to be captured on the case record form (CRF); an "assessment" is a study variable pertaining to the status of a subject/patient, is usually measured at a certain time and is usually not compounded significantly by combining several simultaneous measurements to form a derived assessment (e.g., BMI, or a result of statistical analysis); an "endpoint" is a variable that pertains to the trial objectives.

## variable

noun Epidemiology Any characteristic or attribute that can be measured. See Confounding variable, Continuous variable, Dependent variable, Independent variable, Instrumental variable, Intervening variable, Lurking variable, Natural variable, Predictor variable, Qualitative variable, Quantitative variable, Random variable.
McGraw-Hill Concise Dictionary of Modern Medicine. © 2002 by The McGraw-Hill Companies, Inc.

## var·i·a·ble

(var'ē-ă-bĕl)
1. That which is inconstant, which can or does change, as contrasted with a constant.
2. Deviating from the type in structure, form, physiology, or behavior.
[L. vario, to vary, change, differ]
Medical Dictionary for the Health Professions and Nursing © Farlex 2012

## var·i·a·ble

(var'ē-ă-bĕl)
That which is inconstant, which can or does change, as contrasted with a constant.
[L. vario, to vary, change, differ]
Medical Dictionary for the Dental Professions © Farlex 2012
References in periodicals archive ?
Next, we look at the control variables to determine whether their parameter estimates are significantly different from 0 and have the expected sign.
Intercorrelations of Dependant and Control Variables N = 702 Variable X SD 1 2 1.
Four other statistically significant control variables are worthy of mention.
The human-capital control variables were operationalized as follows: (1) work experience was the combined years both before and after the degree; (2) employer changes was the number of times the individual changed employers since graduation from the terminal educational program; (3) two educational dummy variables were created: (p) coded third license 0 and PUB-MBA 1 and (j) coded PUB-MBA=0 and JMP=1; (4) continuous work history was coded 1 if there were work interruptions subsequent to the terminal training program, and 2 for a continuous history.
Table 4 shows the R value is .447 (p< 0.05) and R-square value is .199 when predictors are control variables and POS.
Table 1 revealed significant negative relationship between constraint and academic performance in students and all control variables showed non-significant relationship with the study variables.
The explanatory power of the model increased considerably when the control variables were included ([R.sup.2]=0.0328 and [R.sup.2]=0.1088, without and with control variables, respectively).
Among them, [x.sub.2a] represent the aerodynamic control variables, where [mu] is the bank angle, and [alpha] and [beta] are the angle of attack and angle of sideslip, respectively.
But as here are some other control variables which may impact both stock market price as well as dividend policy, so the regression model modified as:
Our control variables were motivated and obtained from Hall and Nattinger (Journal of Economics and Economic Education Research, 2012), who looked at the deep determinants of state-level EF.

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