How would you define dependent and independent variables? What is their significance in research? Explain with examples.
Dependent variables are variables whose values depend on those of another. for example, test scores could be dependent variables because they depend on how well you study for the test.
Independent variables are variables that stand alone and are not changed by other variables measured. for example, someone’s age is an independent variable.
in research, the independent variable is That factor which is measured, manipulated, or selected by the experimenter to determine its relationship to an observed phenomenon. While the independent variable is often manipulated by the researcher, it can also be a classification where subjects are assigned to groups. In a study where one variable causes the other, the independent variable is the cause. In a study where groups are being compared, the independent variable is the group classification.
In research, the dependent variable is factor which is observed and measured to determine the effect of the independent variable, i.e., that factor that appears, disappears, or varies as the experimenter introduces, removes, or varies the independent variable. “In a research study, the independent variable defines a principal focus of research interest. It is the consequent variable that is presumably affected by one or more independent variables that are either manipulated by the researcher or observed by the researcher and regarded as antecedent conditions that determine the value of the dependent variable.
a dependent variable needs to have something that influences it’s current state where as the independent variable focuses on the current subject. For example I sometimes suffer from anxiety the anxiety would be the independent variable and the dependent variable would be the triggers to the anxiety. According to “All about Business and Management” (n.d) “Every experiment has at least two types of variables: an independent and dependent. An independent variable is the variable that the researchers systematically manipulate in the experiment. An independent variable is measured, manipulated, or selected by the experimenter to determine its relationship to an observed phenomenon.While the independent variable is often manipulated by the researcher, it can also be a classification where subjects are assigned to groups.”
According to Helmenstine (2015), the two main variables in an experiment are the independent and dependent variable. An independent variable is the variable that is changed or controlled in a scientific experiment to test the effects on the dependent variable.
A dependent variable is the variable being tested and measured in a scientific experiment. The dependent variable is ‘dependent’ on the independent variable. As the experimenter changes the independent variable, the effect on the dependent variable is observed and recorded (Helmenstine, 2015).
For example, a scientist wants to see if the brightness of light has any effect on a moth being attracted to the light. the brightness of the light is controlled by the scientist. This would be the independent variable. How the moth reacts to the different light levels (distance to light source) would be the dependent variable (Helmenstine, 2015).
When results are plotted in graphs, the convention is to use the independent variable as the x-axis and the dependent variable as the y-axis (Helmenstine, 2015).
Independent variables stand alone. It doesn’t change by other variables that are being measured. For example, someone’s age might be independent variable. It stands alone. Now other factors, such as their habit with food or schedule, are not going to change their age. Dependent variables depend on other factors. For example, a test score could be dependent because it can change depending on the fact that some studied and some didn’t. We can see a relationship between the two by finding out what changes the dependent variable.
Dependent and independent variables are very important in research. It provides the information that can help them determine why something happens because of a natural cause or because of a manipulation. In a research regarding the effects of a particular drug, they can test a group with the actual medicine and another group without it. This would be manipulation, but the results rely on manipulating the independent variable to see if there is a change in the dependent.
Dependent variables are the values that can be changed in a model and by changing them you modify the output of the model. An independent variable relies on the dependent variable and the independent variable is the one that changes when you change the dependent variable. Basically the person who is doing the statistics can manipulate the outcome based on the information that is input.
Independent variables are values that can be changed in a given model or equation. Independent variables provide the input, which is modified to change the output. Dependent variables are the values that result from the independent variables. The definition of an independent or dependent variable is synonymous between statistics and science. The only difference is the way the variable is used in statistics and in scientific experiments.
Two examples of independent and dependent variables are, There will be a statistically significant difference in graduation rates of at-risk high-school seniors who participate in an intensive study program as opposed to at-risk high-school seniors who do not participate in the intensive study program,Independent variableParticipation in intensive study program, Dependent variable Graduation rates. And a director of residential living on a large university campus is concerned about the large turnover rate in resident assistants. In recent years, many resident assistants have left their positions before completing even 1 year in their assignments. The director wants to identify the factors that predict commitment as a resident assistant (defined as continuing in the position a minimum of 2 years). The director decides to assess knowledge of the position, attitude toward residential policies, and ability to handle conflicts as predictors for commitment to the position, Independent variable knowledge of position, attitude toward policies, and ability to handle conflicts, Dependent variable commitment to position
A dependent variable is what will be measured, it’s what the investigator thinks will be affected during the experiment an example would be if the investigator wants to study tomato plant growth. Possible dependent variables include: number of tomato plants, weight of the plants, leaf surface area, time to maturation and the height of the stem. Independent is what is varied during the experiment; it is what the investigator thinks will affect the dependent variable. In our tomato example, possible independent variables include: amount of fertilizer, type of fertilizer, temperature, amount of H2O, day length, all of these may affect the number of tomatoes, weight, of the plant, leaf area, etc.
Dependent variable is a variable whose value depends on that by another
Independent variable is a variable whose variation that does not depend on that of another
An example of a dependent variable could be a test scores and an example of an independent variable is some ones age. The significance of the variables are very important in research. It provides the information that can help them determine why something happens because of a natural cause or because of a manipulation
An independent variables in statistics are statistics that do not change based on other variable that are being measured. An independent variable stands alone. A Dependant variable in fact does rely on other factors. An example is when a scientist is growing a plant in a greenhouse. The independent variables include water amount, soil type, amount of sun, temperature. The Dependant variable is the physical growth of the plant. There can only be one Dependant variable in an experiment.
A variable can represent an object, event, factor, and ect. Variables are subdivided into two categories of independent or dependent based on how they affect each other. To better understand the difference between independent and dependent variables I will use a sports example to explain. In Basketball one’s free throw percentage is a dependent variable. It is dependent upon other independent variables such as time spent practicing. One could study and see if increased practice times improve free-throw shooting percentages.
The different between dependent and independent variables are essentially the factors of a certain study or experiment. Dependent variables are influenced or affected by the manipulation of the independent variable. In research, the main focus of the study is on the effects on the dependent variable while the independent variable changes/are manipulated. Without properly identifying these two variables, it would be difficult to accurately analyze and determine the cause and effect of resulting data. For example, in a study of the correlation between sleep and test scores of 6th graders, the dependent variable would be the test scores while the independent variable would be the hours of sleep the students are allowed.
A dependent variable is what you measure in a test or survey, and it is what is affected during the experiment, the dependent variable response to the independent variable. The independent variable is a variable that stands alone it does not give a reaction due to something else it is independent, someones age would be a example of an independent variable
Independent variables are values that can be changed in a different equation or model that provides input that is adjusted by the model that changes the output. Dependent variables are the values that receives the result from independent variables. Their significance in value consist of determining the provided information of why something occurs whether it be natural causes or manipulation. Examples of this would be a vitamin that is given to an individual as an experiment to get a result. The life span of the vitamin is the dependent variable result in determining the life span of the vitamin.