4. QUANTITATIVE RESEARCH
An objective, systematic, empirical investigation of observable phenomena through
the use of computational techniques.
2. Clearly Defined Research Questions
3. Structured Research Instruments
4. Numerical Data
5. Large Sample Sizes
7. Future Outcomes
5. QUANTITATIVE RESEARCH
1. It is objective.
2. The use of statistical techniques
facilitates analyses and allows
you to comprehend a huge
amount of vital characteristics of
3. The numerical data can be
analyzed in a quick and easy way.
4. Quantitative studies are
1. It requires a large number of respondents.
2. It is costly.
3. The information contextual factors to help
interpret the results or to explain variations
are usually ignored.
4. Many information are difficult to gather
using structured research instruments.
5. If not done seriously and correctly, data
from questionnaires may be incomplete
6. KINDS OF QUANTITATIVE RESEARCH:
1. Descriptive Research
2. Correlational Research
3. Evaluation Research
4. Survey Research
5. Causal-Comparative Research
6. Experimental Research
7. IMPORTANCE OF QUANTITATIVE RESEARCH:
A central concept in research.
A measurable characteristic that changes in value.
TYPES OF VARIABLES:
1. Continuous (Interval or Ratio)
2. Discrete (Nominal or Ordinal)
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