Quantitative research uses what data in order to describe a phenomena or infer relation?
Numerical Data
What are the key characteristics of Quantitative research?
Controllability, Generalizability, Objectivity, Replicability
Quantitative research should be in an environment where all Variables are identified and can be controlled
Controllability
Results are based on as a representative of the population
Generalizability
The results of the data are observable and measurable using structured instruments
Objectivity
The research study should be replicable by other teams of researchers that will eventually come up with similar outcomes
Replicability
Strengths of Quantitative Research
- Analysis of data is assisted with statistical methods
- Large-scale research can be undertaken
- Data can be presented in graphical or tabular form
Weaknesses of Quantitative Research
- A large sample of size requires a lot of time and effort
- Statistical Analysis of data requires an expert to perform
- Quantifying and reducing observations to numerical values makes it too simplistic
What are the two types of quantitative research
Experimental and Non-Experimental
Its primary objective is to identify a cause-effect relationship between the variables where the samples are randomized. Usually have EXPERIMENTAL and CONTROL GROUP
True Experimental Research
Mirrors experimental research. However, it does not use random samples and does not require to have a control group
Quasi-Experimental
Focuses on the description of factors, variables, or phenomena that occur in nature
Descriptive Research
Its primary objective is to compare two variables then identify the relationship between them
Correlation Research
its primary objective is to compare two variables in order to identify whether there exists a causative relation between them.
Comparative Research
The effect, outcome, or indicator
Dependent Variable
The cause or manipulated factor
Independent Variable
Held constant, usually use in experimental research for comparison
Control Variable
AKA intervening variables, it shows relationship
Mediating Variable
Influences the strength/direction, requires strong conditioned effect
Moderating Variables
Unwanted interference, or excluded variables
Extraneous Variable
Based on categories and does not have ranks
Nominal
Has categories and ranks
Ordinal
It has intervals but does not have true zero
Interval
Has intervals and true zero
Ratio
