The independent variable is the core of the experiment and is isolated and manipulated by the researcher. The dependent variable is the measurable outcome of this manipulation, the results of the experimental design. For many physical experiments, isolating the independent variable and measuring the dependent is generally easy.
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There may be more than two dependent variables in any experiment. Dependent Variable Examples. A researcher might wish to establish the effect of fertilizer on the rate of plant growth; amount of fertilizer is the independent variable. They could regard growth as height, weight, number of fruits produced, or all of these. A whole range of dependent variables arises from one independent variable.
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Explain how associations between variables are used to answer research questions. Explain why random assignment and random selection are used in research. Explain why some information about a research study cannot be told to a research participant. An understanding of the basic elements of research is essential for good research practices.
https://ori.hhs.gov/content/module-3-elements-research
Dependent and Independent Variables. The key to designing any experiment is to look at what research variables could affect the outcome. There are many types of variable but the most important, for the vast majority of research methods, are the independent and dependent variables.
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The relationship between the independent variable and dependent variable is the basis of most statistical tests, which establish whether there is a real correlation between the two. The results of these tests allow the researcher to accept or reject the null hypothesis, and draw conclusions. « Previous Article.
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There may be more than two dependent variables in any experiment. For example, a researcher might wish to establish the effect of temperature on the rate of plant growth; temperature is the independent variable. They could regard growth as height, weight, number of fruits produced, or all of these.
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In any true experiment, a researcher manipulates an independent variable, to influence a dependent variable, or variables.
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By the end of this module, you will be able to: 1  Explain how associations between variables are used to answer research questions. 2  Explain why random assignment and random selection are used in research. 3  Explain why some information about a research study cannot be told to a research participant. An understanding of the basic elements of research is essential for good research practices. Among the most important elements to be considered are variables, associations, sampling, random selection, random assignment, and blinding. For a more detailed explanation of other research concepts, please see the list of references provided at the end of this curriculum.
https://ori.hhs.gov/content/module-3-elements-research
Dependent Variable Examples A researcher might wish to establish the effect of fertilizer on the rate of plant growth; amount of fertilizer is the independent variable. They could regard growth as height, weight, number of fruits produced, or all of these.
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If you designed an experiment to determine how quickly a cup of coffee cools, the manipulated independent variable is time and the dependent measured variable is temperature. In other fields of science, the variables are often more difficult to determine and an experiment needs a robust design.
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what is the dependent variable in medical studies
In medical studies, the dependent variable is the measurable outcome of manipulation, the results of the experimental design. The dependent variable is the measurable outcome of this manipulation, the results of the experimental design.