Differences between qualitative and quantitative
Quantitative
|
Qualitative
|
Seeks out the ‘why’
researcher can be away from instrument |
Usually concerned with ‘how often’
researcher need to be as instrument |
Method is standardised (structured questioning)
|
Uses a varied questioning- open-ended, unstructured, flexible questioning
|
Large sample size
|
Small sample size
|
Generalised results (numerical statistical data)
artificial experimental setting |
In depth results
natural setting |
Reliable data
|
Data may not be reliable
|
Types of research method
Quantitative
1)
Questionnaire surveys
2)
Telephone surveys
3)
Mail surveys
4)
Structured personal interviews/ Mall interviews
5)
Internet/ Email/ Web surveys
6)
Content analysis
Qualitative
1)
Focus group
2)
Field observation
3)
In depth/intensive interviews
4)
Case studies
5)
Ethnography
6)
Textual analysis
Advantages of Quantitative
-
Testing and validating already constructed theories
about how and why phenomena occurs
-
Testing hypothesis that are constructed before
the data is collected
-
Can generalize research findings when that data
are based on random samples of sufficient size
-
Useful for obtaining data that allows
quantitative predictions to be made
-
Data collection using some quantitative methods
is relatively quick
accurate and precise results.
can be generalised (sample size)
convenience, under control (setting)
accurate and precise results.
can be generalised (sample size)
convenience, under control (setting)
Disadvantages of Quantitative
-
Researchers categories that are used might not
reflect local constituencies understandings
-
Researchers’ theories that are used might not
reflect local constituencies’ understandings
-
The researcher might miss out on phenomena occurring
because of the focus on theory or hypothesis is testing rather than on theory
or hypothesis generation
-
Knowledge produced might be too abstract and
general for direct application to specific local situation, contexts and
individuals
time consuming (sample size)
time consuming (sample size)
Advantages of Qualitative
·
Data based on the participants’ own categories
of meaning
·
Useful for studying a limited number of cases in
depth s
·
Useful for describing complex phenomena s
Provides individual case information
·
Can conduct cross-case comparisons and analysis
Disadvantages
of Qualitative
·
Knowledge produced might not generalize to other
people or other settings (i.e., findings might be unique to the relatively few
people included in the research study).
·
It is difficult to make quantitative
predictions.
·
It is more difficult to test hypotheses and
theories with large participant pools.
·
It might have lower credibility with some
administrators and commissioners of programs.
·
It generally takes more time to collect the data
when compared to quantitative research.
2)
(i)
Nominal-
Malay, Chinese, Indian, Scottish
(ii)
Ratio-
0,2,4,6
(iii) Interval-
Not happy, Still okay, Neutral, Happy, Very happy
(iv)
Ratio-
0,2,4,6
(v)
Ordinal-
SPM, Diploma, Bachelor degree, Master degree
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