Dependent and independent
The two types of variables in an experiment are independent variables, which are controlled by the experimenter and can be manipulated, and dependent variables, which are the outcome or response that is measured in the experiment and may change in response to the independent variable.
A correlational experiment examines the relationship between variables without manipulating them, while a quasi experiment involves manipulating an independent variable but lacks random assignment of participants to conditions. So, a correlational experiment focuses on the association between variables, while a quasi experiment allows for some degree of causal inference due to the manipulation of an independent variable.
An experiment is called a controlled study because it involves manipulating variables under controlled conditions to isolate the effects of those variables on the outcome or results. By controlling other factors that could influence the results, researchers can more accurately determine the impact of the variables they are studying.
To be valid, an experiment must not include bias, confounding variables, or unreliable measures in order to accurately assess the cause-and-effect relationship between variables.
The independent variables in the Brown-Peterson experiment are the time interval (short vs. long delay between presentation of information and recall task) and the type of interference (interference task vs. no interference task).
Confounding variables in the Stanford prison experiment could include the psychological characteristics of the participants, such as pre-existing attitudes towards authority or aggression. Additionally, the specific conditions in which the experiment took place, such as the lack of oversight and the power dynamics between the guards and prisoners, could also be considered confounding variables that influenced the outcomes of the study.
There are three types of variables tested: manipulated variables, controlled variables, and experimental variables.
The two types of variables are the CONSTANT and CONTROL.
hypothesis
nominal and ordinal is wrong; those are the two types of qualitative variables. Ratio and interval are the two types of quantitative variables.
Qualitative and quanitative are two types of variables.
Most science experiments will have two independent variables. Fundamentally, an experiment will want as few variables as possible for better results.
You need to control the variables because if you have two or more variables in an experiment you will never know which variable caused a change or not caused a change.
have no variables
manipulated variableresponding variablecontrolled variable
hypothesis
Variables that do not change in an experiment are independent variables.
Variables that do not change in an experiment are independent variables.