Experimental Research Method Versus Correlational Research Method Research Methods Experimental Research Method Versus Correlational Research Method

Experimental Method Experiments are carefully controlled experiments that can show a causal relationship between variables Contains an independent variable and a dependent variable

Experimental Method Hypothesis = expressing a relationship between 2 variables: Independent variable = the variable being manipulated to try to cause a change Dependent variable = depends on the independent variable A change in the independent variable will produce a change in the dependent variable

Example The hypothesis (expression of a relationship between two variables) that playing violent video games makes people more likely to have a positive attitude toward real-life violence What is the independent variable? What is the dependent variable?

Independent variable = playing violent video games (the hypothesis suggests that a change in playing violent video games will result in a change in attitude). Dependent variable = the attitude toward violence (depends on playing violent video games)

Operational Definitions of Variables How are you measuring the variables? Example: What video games are considered violent? What attitudes are considered positive toward / favoring violence?

Experimental Method: Controlling for Confounding Variables Confounding variable = any difference other than the independent variable that may affect the dependent variable Divide into experimental and control groups (assign participants to conditions) to control for confounding variables

Experimental v. Control Group Experimental group = the one that receives the treatment from the independent variable Control group = does not get any of the independent variable Example: experimental group = plays violent video games; control group = does not play violent video games

Correlational Studies Investigate the same variables as experimental studies, but do not use the terminology independent and dependent variable because do not reveal cause-effect relationships

Correlational Studies Do not divide participants into separate groups based on the independent variable Most commonly use surveys to obtain data Easier, but cannot control for confounding variables like in an experimental study

Correlational Studies Can only predict the relationship between two variables! Cannot attribute causation! Ex. cannot say that playing violent video games causes people to have positive attitudes toward violence

Correlational Studies and Predictions Positive correlation = one variable increases as other variable increases (positive correlation) Negative correlation = one variable decreases as other increases No relationship between variables = zero / no correlation

Experimental Studies and Cause An experimental study can state that the independent variable causes dependent variable to change…ex playing violent games causes more positive attitudes about violence