Q1: Introduction To Quantitative Research Flashcards
Two main types of research
-Quantitative Research
- Qualitative Research
It uses scientifically collected and statistically
analyzed data to investigate observable phenomena.
Quantitative Research
Any existing or observable fact or situation that we want to unearth further or understand
Phenomenon
What does quantitative research uses in designing and collecting data to make it scientific?
Scientific Methods
Examples of statistical analysis
-Pearson’s r
- t-test
-Analysis of Variance
(ANOVA)
These are used when data are not directly countable and thus require conversion from
non-numerical information into numerical information.
Rating Scales (e.g. Likert Scale)
CHARACTERISTICS: It is use to obtain more meaningful statistical result
Large sample size
CHARACTERISTICS: Data gathering and analysis of results are done accurately,
and are unaffected by the researcher’s intuition and
personal guesses.
Objectivity
CHARACTERISTICS: Data is numerical which makes
presentation through graphs, charts, and tables possible and with
better conveyance and interpretation.
Concise Visual Representation
CHARACTERISTICS: The use of a statistical tools gives way for a less
time- consuming data analysis.
Faster Data Analysis
CHARACTERISTICS: Data taken from a sample can be applied to the
population if sampling is done accordingly, i.e., sufficient size and
random samples were taken.
Generelized Data
CHARACTERISTICS: Quantitative research uses
standardized research instruments that allow the researcher to collect
data from a large sample size efficiently.
Fast and Easy Data Collection
CHARACTERISTICS: Data is taken and analyzed objectively from a sample
as a representative of the population, making it more credible for policymaking and decision making.
Reliable Data
CHARACTERISTICS: The Quantitative method can be repeated to verify
findings enhancing its validity, free from false or immature conclusions.
High Replicability
Advantages of Quantitative Research
- Very objective
- Numerical and quantifiable data can be used to predict outcomes.
- Findings are generalizable to the population.
- There is conclusive establishment of cause and effect
- Fast and easy data analysis using statistical software.
- Fast and easy data gathering
- Quantitative research can be replicated or repeated.
- Validity and reliability can be established