Quantitative Research
From its root word quantity, which means the "amount of" or "number of," quantitative research deals with numerals and how it can describe a phenomenon or infer a relationship.
Quantitative research is the go-to approach for scientific inquiry because of its ability to test hypotheses.
The relationship of different factors that we see creates a clearer picture of what is happening around us. These factors can also be called variables, which are the basis for formulating and testing hypotheses.
Variables are traits that numerically describe or give meaning to an object, phenomenon, or group of people.
An independentvariable is the cause; this is the variable that changes or manipulated by the experimenter. The IV is usually the focus of the hypothesis being tested.
A variable is any factor that may affect the outcome of your investigation.
A dependent variable is the effect; this is the variable that responds to the change made on the IV. It is the outcome of the experiment.
In randomized experiments, participants are randomly assigned to either the treatment or control group using a process such as flipping a coin or drawing numbers out of a hat.
Controllability. To understand a specific relationship or phenomenon, quantitative
research should be in an environment where all variables are identified and can be controlled
Generalizability. It is from larger sample sizes that the results are based on as a representative of the population.
Objectivity. The results of the data are observable and measurable using structured instruments.
Replicability. The research study should be replicable by other teams of researchers that will eventually come up with similar outcomes.
Descriptive quantitative research is an example of a nonexperimental research design. The focus of this research design is to describe factors, variables, or phenomena that occur in nature.
Comparative Research
This is another example of a nonexperimental research design. The primary objective is to compare two variables
CorrelationalResearch
This is another example of a nonexperimental research design. Its primary objective is to compare two variables then identify the relationship between them.
Quasi-experimental research mirrors experimental research, but it is not true experimental research where a causal relationship can be determined with the use of dependent and independent variables.
trueexperimentalresearch design is to identify a cause-effect relationship between the variables where the samples are randomized.