A dependent variable, is called as the emblematic representation of a certain event that is not specified, which belongs to a performance that is obtained from different values.
It is classified in this way, since it can vary when observed qualitatively and can be measured quantitatively.
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This term varies depending on the area where it is being used, whether it is computerized because of the space that a computer contains in its installation of programs, mathematical because it is a symbol that has different numerical values within an equation, statistical because of the characteristics that can be observed in people, logical by representing concrete data or scientific by forming hypotheses in a draft.
In this article you will find:
What is the dependent variable
The dependent variable, will depend on the changes that are made due to the independent variable, which means, that its value depends on other variables.
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In the same way, it can be said that it is the main point where the researcher concentrates in order to conduct behavioral assessments and thereby achieve results that can be check.
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Classification of the dependent variable
The variable can be classified in two ways:
1. Classification by nature
- Depending on your quantitative data: Refers to data that can be measured to represent a certain numerical quantity.
- Depending on your qualitative data: This is the observation of the different qualities that are studied in an object, such as the award of an employee within a work process.
- Continuous: In this variable the unit of measurement cannot be divided.
- Discontinuous: In this variable, the division of the editing unit such as height and weight can be given.
2. Classification according to whether measurement value
- Nominal: It is classified by the category that depends on its location.
- Ordinal: It is classified by the category of subjects, facts or phenomena in an orderly manner.
- Interval: It is classified in order by categories of quantities, degrees or magnitudes.
- Of reason: It is classified by the category of the different factors of the aforementioned variables and by the distance between two points that are always similar.
It is important to note that none variable can always be dependent or independentThis is because it can vary according to the eventuality to which it has been referred, since neither of them is essential in any variable.
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Why is it important to identify the key variables?
It is very important to be able identify key variables, for the following reasons:
- They provide a defined focus on what you want to investigate.
- It constitutes the fundamental terms that will be needed when searching for information about the investigation.
- The key variables can be directly measured for the research to be valid.
Design of the investigation of the variables
After the variables are identified, the researcher has to identify how to address those variables, which will become the core of the research design. The main designs will be mentioned below:
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Descriptive
You can describe the updated state of variables. For instance:
- In a descriptive study, it is possible to explore the knowledge that teachers may have regarding the development of literacy, which would be a descriptive study, since it identifies the present knowledge of educators about the process of literacy.
Causal comparison
This comparison can examine the effectiveness of one variable, which cannot be handled in others. For example.
- The effect of gender on a test deficiency. In the event that an investigator does not know how to manipulate a person's gender, it may happen that both men and women are compared in the same way in relation to their deficient behavior in a exam.
Since the variable of interest is not manipulable, the causes of the comparative studies could make the comparison of two groups that manage to differ in the independent variable. This means that the factor that identifies this causal comparative study can make the comparison of two or more groups on a different variable basis.
Correlational
Describe any relationship that exists between the variables. This is because every correlational study has to examine two variables that have continuous values.
Therefore, an analysis of the link between motivation and academic performance could be carried out as they are continuous variables.
It should be taken into account that, within a correlational design, the two variables have to be studied in the same way within it. group of individuals, which makes the study of the link between motivation and academic achievement within the same group acceptable group.
Experimental and quasi - experimental
It has the ability to examine the effect of a certain variable that the researcher handles on other variables.
An experimental or quasi - experimental study succeeds in examining the effect of manifesting on the literacy skills of young people.
In this sense, the researcher can handle the variable of storytelling, by putting half of the young people in a group that undergoes a treatment where they will have to listen to the stories and the other half will be placed in a group that can be controlled by perceiving various literacy instructions ordinary.
Dependent variable in Marketing
The dependent variable, is the output of a certain process or a statistical analysis, in the same way it can be said that it is known as a response variable. It is usually very important for companies, as it has the ability to represent everything that it wants to achieve.
Despite this, they cannot be affected or made modifications directly, however, it may depend on other variables Marketing, such as certain elements that allow customer satisfaction and loyalty or also the profitability of the organization that cannot be modified directly, they can only be influenced when variables are modified independent.
In conclusion.
A dependent variable is all the one whose value it will depend on the numerical value you adopt.
