Factorial designs
Some times. At other times it uses mutually dependent variables (changes in each variable affect the other).
When you do an experiment the variable you control is the independent variable, and the variable you measure is the dependent variable. The independent variable is controlled by the experimenter; the dependent variable is measured. In this case, corporate social responsibility is the independent variable, and the others are dependent variables.
An independent variable does not change. It is independent of everything else In research, there needs to be a dependant variable.
The dependent variable is the variable that the researcher does not control. The researcher will change one variable called the independent variable (ex. temperature, amount of sunlight, amount of food, etc.) and then observe the corresponding dependent variable (ex. reaction of organism, amount of plant growth, swimming speed, etc.)
This is the sort of question that should involve months of research so would be ideal as the subject for a Doctor of Philosophy dissertation.
Dependent and Independent variables
i want to know the role of variables of the qualitative design
Some times. At other times it uses mutually dependent variables (changes in each variable affect the other).
There should be one dependent variables. Depending on the type of research you are doing, the amount of independent variables will change. If you are doing research on a large scale, you will use more independent variables. If it's on a small scale, you will use very little. If you are not able to run your regression it means your sample size is too small or you have too many independent variables.
When you do an experiment the variable you control is the independent variable, and the variable you measure is the dependent variable. The independent variable is controlled by the experimenter; the dependent variable is measured. In this case, corporate social responsibility is the independent variable, and the others are dependent variables.
Ex-post facto research measures the cause and effect relationship without manipulating the independent variable. While the experimental research starts from manipulating and controlling the independent variables and proceeds to observing the effect on the dependent variables.
Ex-post facto research measures the cause and effect relationship without manipulating the independent variable. While the experimental research starts from manipulating and controlling the independent variables and proceeds to observing the effect on the dependent variables.
History Effect is an event that intervenes in the course of one's research and makes it difficult if not impossible to interpret the relations among independent and dependent variables.
temperature, pressure , volume, are independent density, viscosity, etc are dependent Properties of mater are always dependent of independents. as (dependent) density , viscosity , mass density , phase conduction , etc always vary when we change independents .(temperature, pressure , volume) so you can understand dependent & in dependent
Ex Post Facto (also called Causal Comparative Research) is useful whenever: • We have two groups which differ on an independent variable and we want to test hypotheses about differences on one or more dependent variables OR • We have two groups which already differ on a dependent variable and we want to test hypotheses about differences on one or more independent variables
Ex Post Facto (also called Causal Comparative Research) is useful whenever: • We have two groups which differ on an independent variable and we want to test hypotheses about differences on one or more dependent variables OR • We have two groups which already differ on a dependent variable and we want to test hypotheses about differences on one or more independent variables
A variable being measured is a characteristic or attribute that can take on different values or levels, and it is the focus of study in research or experimentation. Variables can be either independent (manipulated or controlled by the researcher) or dependent (affected by changes in the independent variable).