dependent variable

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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.

de·pen·dent var·i·a·ble

in experiments, a variable that is influenced by or dependent on changes in the independent variable; for example, the amount of a written passage retained (dependent variable) as a function of the different numbers of minutes (independent variable) allowed to study the passage.
Farlex Partner Medical Dictionary © Farlex 2012

dependent variable

An objective finding measured in an experiment that is expected to change as a result of an experimental manipulation of the independent variable(s).
Segen's Medical Dictionary. © 2012 Farlex, Inc. All rights reserved.

dependent variable

Epidemiology An outcome variable/variables that reflects other, independent, variables in the relationship being studied. See Variable.
McGraw-Hill Concise Dictionary of Modern Medicine. © 2002 by The McGraw-Hill Companies, Inc.
References in periodicals archive ?
The research use debt level and debt maturity as an independent variable and firm investment behavior as a dependent variable. They use regression for test the variables and the result shows that level of debt is expressively negative impact on firm investment but the maturity of debt is irrelevantly to investment rate.
In this study, R2 value for SO 2- and electrical conductivity are only 24%, but their ANOVA results are significant and hence only 24% explained variation cannot be neglected and can be considered for estimation of the dependent variables.
A simple regression has one independent variable paired with a dependent variable, while multiple regression can have two or more independent variables with a dependent variable.
This was performed separately for each industry code and each dependent variable in our dataset.
For identification dependent variable is give support to establishing more private academies, which has two categories (Supporters 0, Non-supporters 1).
Regression is a method of statistical analysis through which, by the assignation of determined values to a dependent variable y and to one or more independent variables [x.sup.j] (j=1,...., m), a simple expression of the function that expresses the connection between them is sought.
If a study examines the effects of a practice on two or more measures of the outcome of focus (e.g., two measures of reading fluency), each dependent variable is treated as a separate case when determining the overall effect of the study.
Table 1 shows the mean values for each of the dependent variables when the data are aggregated over all six APs.
The study took into account a total of four variables of which the University was taken as the dependent variable, and the three independent variables included; environmental factors, internal factors and external factors.
The second way a lagged dependent variable "can suppress the explanatory power of other independent variables" (Achen 2001, 1) is that the lagged variable controls for the factors that made the dependent variable what it was in period t-1--the same factors that are impacting it in period t.
While the ANNOVA table is a useful test of the model's ability to explain any variation in the dependent variable, it does not directly address the strength of that relationship.
where [y].sub.d] represents the vector that contains logarithms of dependent variables ([y.sub.i] = log [X.sub.i]), [A] represents the matrix that contains kinetic orders of dependent and independent variables of n x (n + m) dimension, and b] represents the vector of dimension n where [b.sub.i] = log ([[beta].sub.i]/[[alpha].sub.i]).