Research Paper: Differences In The Qualitative and Quantitative Research
Continuing from the previous article about the differences
in the Qualitative Research Quantitative Research from various aspects:
purpose, approach, assumption, model description, value, reason, generalization,
relationship with the subject of research, value orientation, studies on the
context, design, method, hypothetical , measurement, review of literature,
background research, sampling, data, and others.
While further views from the point of the strategy of
collecting data, subject, analysis of data, interpretation of data, criteria,
key phrases, key concepts, research instrument, trouble.
No
Aspect
qualitative
Quantitative
20
The strategy of collecting data
Numeric, operational variables, quantitative code, statistics,
calculated and held measurements.
Collecting documents, part observation
(participant observation), not structured interviews and informal, to record
data in the Field Notes intensively, artifact rate.
21
Subject
Structured observation of
non-participants, semi-structured interviews and formal, the administration
of tests and questionnaires, experiments, research, surveys, experiments quasi.
The subject of much research; random selection.
Subject of a small amount of research;
sampling technique aims.
22
Analysis of data
Deductive quantitative, statistically. Especially the numerical data
that is usually analyzed the statistical. The data consists of a rough and
analysis conducted at the end of the research.
Inductive, models, theories, concepts,
methods of comparison remains. Usually descriptive data analyzed in the most
derived from interviews and observation notes; records analyzed to obtain
themes and patterns that has been described and illustrated with examples,
including the quote-quote from the document and summary; coding verbal data
and analysis.
23
Interpretation of data
Conclusion and generalization formulated at the end of the study,
stated with a certain degree of trust, which is determined first.
Conclusion is tentative, reviewed on
the basis of something that is still ongoing, is being ignored
generalization.
24
Criteria
Internal validity, how truth is found.
How the application of the external validity of the findings in other
background. Objectivity-how should we be convinced that the findings are
reflective of the subject rather than a result of the 'biases' researchers.
Credibility-research conducted in such
a way to ensure that the subject is enough to obtain and described. -shift
the burden to explain the application of the findings in the background
depends on the other researchers who have a 'detailed description' of the
background for the purpose of implementation.
25
Key phrases
Experimental, data numeric, empiric, dan statistical.
Descriptive, naturalistic, and word-oriented.
26
Key concepts
Reliabilities, variables, operations,
hypothetical, the validity, statistical, significant replication.
Meaning, the general public, the
process, built a social theme, the validity of data.
27
Instrument research
Inventory, the questionnaire, scale,
test scores, the indicator.
'Tape recorder, field notes, research is the instrument itself.
28
Trouble
Control variables, the validity.
Take, no standard procedures,
reliability, and validity of data.