Quantitative: Pearson Correlation
Experimental Research
A research design where researchers are active agents and not merely a passive observer. The researcher consciously manipulates the conditions in the study and makes observations in a tightly controlled environment.
- It seeks to determine if a specific variable influences an outcome through the study of two groups: a control and a treatment group.
- Includes true experiments, with randomization; or quasi-experiments, with non-randomized assignment of subjects.
Non-Experimental
Does not use manipulative and control of the independent variable and conducted mostly in the natural setting under natural conditions.
Statistics
Deals with logical collection, organization, presentation, analysis, and interpretation of numerical data.
Descriptive Statistics
- Mean
- Median
- Mode
- Range
- Variance
- Std. Deviation
Inferential Statistics
- Measure of Association
- For two variables, rank them and find the difference between both ranks, then square.
- strength of correlation
- Pearson is the most common*
- Used for a 2x2 matrix (computed by a statistician)
Writing Guidelines
- Add a title to every table. Check samples for italicization and bolding.
- Tables should be made as three-liner tables.
- Analyze the table and present it qualitatively. However, the table should also be able to understand the table without external contexts.
- Provide data collection proof: recordings, survey forms, ICF