The manipulated variable is the variable that is deliberately changed or controlled in an experiment, while the responding variable is the variable that is observed and measured to see how it changes in response to the manipulation. The relationship between the two is that changes in the manipulated variable are expected to cause changes in the responding variable, allowing researchers to investigate cause-and-effect relationships.
The variable that social scientists refer to as the causal variable is the one that is believed to directly influence or cause changes in another variable. This variable is often the focus of research and analysis to understand its impact on the outcome of interest.
An independent variable is the factor that is manipulated or changed by the researcher in an experiment to observe its effect on the dependent variable. It is the variable that is thought to cause a change in the dependent variable.
Covariation of cause and effect refers to the relationship between two variables where changes in one variable are associated with changes in the other variable. It involves observing how changes in the cause variable are accompanied by changes in the effect variable, allowing us to infer a potential causal relationship. Covariation is an important aspect of establishing causality in research and can help determine if there is a meaningful relationship between two variables.
Cause variables are factors that directly influence or produce an effect on another variable. Effect variables are outcomes or results that are influenced by the cause variables. Understanding the relationships between cause and effect variables helps to analyze and predict how changes in one variable impact another.
costants what controlls it as in what causes your projeect to failed what variable cause it to do good.what variable made a mess what variable cause it to work
The independent variable is the variable that you cause to vary during an experiment.
The independent variable is the variable that you cause to vary during an experiment.
In an experiment, the independent variable is manipulated or controlled by the researcher, while the dependent variable is measured to see the effect of the independent variable. The independent variable is the cause, while the dependent variable is the effect. Changes in the independent variable are expected to cause changes in the dependent variable.
cause a change
The independent variable is the variable that is changed or manipulated by the researcher and is hypothesized to cause an effect on the dependent variable. The dependent variable is the variable that is measured in response to the changes in the independent variable.
Causes of law of variable proportions
Not necessarily. The independent variable may have no effect at all.
Changes in the independent variable will cause changes in the dependent variable.
In an experiment, your control variable will not be caused to vary by the experiment. Think of 'cause and effect'. The independent variable is the cause, the result is the effect, and the dependent variable is the one that you leave to be changed by the experiment.
a independent variable is a variable changed in a science experiment,and a dependent variable is the result according to the cause of the change in the independent variable.
Well, that depends on whether 'customer satisfaction' is the cause or the effect in your analysis. If say, 'prompt attention to customer problems' were the causative (independent) variable, then the 'customer satisfaction' would be the result/outcome/dependent variable. However you could have had a study in which 'customer satisfaction' was the cause/independently variable, and 'likelihood of repeat business' were the result/outcome/dependent variable. You must distinguish between CAUSE and EFFECT. Cause is the independent variable that creates the Effect observed.