The independent variable is the thing you are changing. The dependent variable is the result you are trying to measure.
In a caffeine study, the amount of caffeine given to a subject would probably be the independent variable. The dependent variable would be what you are measuring, like moodiness, apparent energy, kidney function, etc.
It does not have to. It is simply a study where two variables have a joint probability density function. There is no requirement for both variables to be dependent - one may be dependent on the other (which is independent).
The answer to the question depends on what it is that you are trying to study.
Multicollinearity is when several independent variables are linked in some way. It can happen when attempting to study how individual independent variables contribute to the understanding of a dependent variable
Yes. The presumed cause is the independent variable and the presumed effect is the dependent varibale. Variablility in the dependent variable is presumed to depend on variablility in the independent variables. It is used more of a direction of influence rather than a cause and effect scenario. Ex. need for increased assistance is dependent on decrease in health. Health is the independent variable and assistance is the dependent.
Yes, think about cause and effect when thinking about this issue. Even to describe or observe a phenomena.
Variables to study in a thesis depend on the research question, but common ones include independent variables that impact the dependent variable. Examples include demographics, behavior, attitudes, and environmental factors. It's essential to specify these variables clearly to align with the research objectives.
Independent variables are the factors that are manipulated or changed by the experimenter in a study or experiment. They are the variables that are believed to have an effect on the dependent variable, which is the outcome being measured. In research, the independent variables are controlled and varied to observe their impact on the dependent variable.
Either- and most people are ignorant of this fact. If your study is about how the size of the bottle affects the price, then the independent variable is the size of the bottle and the dependent is the price. However, if your study is to determine how the price that you pay affects the size of the bottle, the independent variable is the amount of money and the dependent is the bottle size.
Yes it depends on what you are measuring in your study. some examples of variable include age, sex, marital status among others
Independent variables answer the question "What do I change?"Dependent variables answer the question "What do I observe?"Controlled variables answer the question "What do I keep the same?"
experimental study. In experimental studies, researchers manipulate an independent variable to observe its effect on a dependent variable while controlling for other variables. This allows for making causal inferences about the relationship between the 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).