Correlational
Researchers will compare two sets of numbers to try and identify a relationship (if any) between two things.
Examples
Descriptive
Researchers will attempt to quantify a variety of factors at play as they study a particular type of phenomenon or action. For example, researchers might use a descriptive methodology to understand the effects of climate change on the life cycle of a plant or animal.
Examples
Experimental
To understand the effects of a variable, researchers will design an experiment where they can control as many factors as possible. This can involve creating control and experimental groups. The experimental group will be exposed to the variable to study its effects. The control group provides data about what happens when the variable is absent. For example, in a study about online teaching, the control group might receive traditional face-to-face instruction while the experimental group would receive their instruction virtually.
Examples
Quasi-Experimental/Quasi-Comparative
Researchers will attempt to determine what (if any) effect a variable can have. These studies may have multiple independent variables (causes) and multiple dependent variables (effects), but this can complicate researchers’ efforts to find out if A can cause B or if X, Y, and Z are also playing a role.
Examples
Surveys
Surveys can be considered a quantitative methodology if the researchers require their respondents to choose from pre-determined responses.
Example
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