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.
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.
Yes, think about cause and effect when thinking about this issue. Even to describe or observe a phenomena.
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.
The independent variable is the factor in an investigation that the scientist is changing. The dependent variable is the factor which is measured. All other variables, factors which could affect the experiment, are controlled, or kept the same. For example, in an experiment to find out how light intensity affects bean plant growth, the independent variable would be the intensity of the light. The dependent variable would be the amount the plants grew. The controlled variables would be things like the temperature, the acidity of the soil, the amount of water given, the amount of CO2 in the air; in short, anything that could affect the results.
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
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.
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.
Yes it depends on what you are measuring in your study. some examples of variable include age, sex, marital status among others
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.
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.
there are three kinds of variables.a variable must be a situation,condition or a factor1.change or manipulated variables.-are the variables that are being tested or changed.2.constant variables.-are the variables that you are not intended to test or study,or the variables to be kept constant.3.responding variables.-are the results of the maipulated variables.