Quantitative reserch deals with numbers and statistics,while
qualitative reserch deals with words and meanings.quantitative
methods allow you to test a hypothesis by systematically collecting
and analyzing data,while qualitative methords allow you to explore
ideas and experiences in depth.
Differences between quantitative and Qualitative reserch
sampling strategies,
Theory/reserch
ratio:
Qualitative reserch-Inductive setting that is
articulated in the cobntext of "discovery",the resercher rejects
the formulation of theories.theory and reserch work
simultaneously.
Quantitative reserch-Sequential phases,based on
a dedutive approach that is articulated in the context of
"justification".The theory precedes the reserch.
Concepts:
Quali-They seeks to find the character of
uniqueness.
Quanti-Definitive and operative,they are the
theory and are converted from the beginning into variables.
Relationship
with the studied environment
Quali-(active subject)Naturalistic
approach:space and actions are analyzed in the present time during
the reserch.
Quanti-(passive subject)Experimental
approach,the subject is not responsive but this is not a
problem.
Serch
design:
Quali-Without a structure ,open, in serch of unexpected
options,it gets modified in progress
Quanti-Closed structure,planned in advance
Uniformity of ther
detection instrument;
Quali-Abcent.not
necessarily always the same
Quanti-It is necessary to use a standard
Scope of
results
Quali-Limited number of cases
Quanti-Significant number,representativity.
Methodology:
Quali-Observation of the respondent in the focus room,interviews
with privileged witnessess.
Quanti-Structured questionnaire for CATI,CAWI or PAPI
Advantages and disadvantages of Qualitative
Approach
The Pros:
- Qualitative reserch can capture changing attitude within a
target group such as consumers of a product or service,or attitude
in the work place
- Qualitative approaches to reserch are not bound by the
limitations of quantitative metord.if responses dont fit the
resercher expectation thats equally usefull qualitative data to add
context and perhaps explain something which numbers alone are
unable to reveal.
- Qualitative reserch provides a much more flexible approach.if
usefull insights are not being captured reserchers can quickly
adapt questions,change the setting or any other variable to improve
responses.
The cons:
- Sample size can be big issue.if you seek to infer from a sample
of ,for example,200 employees, based upon a sample of 5
employees.this raises the question of whether sampling will provide
a true reflection of the views of the remaining 97.5% of the
company
- Sample bias-HR departments will have competing agendas.One
argument agaist qualitative methods alone is that HR tasked with
finding the views of the workforce may ber influenced both
consciously or unconsciously to select a sample that favors an
anticipated outcome.
- The artificiality of qualitative data capture.The act of
bringing together a group is inevitably outside of the typical
'norms' of everyday work life and culture and may influence the
participants in unforeseen ways.
Advantages and Disadvantages of Quantitative reserch
approach
Advantages:
The use of statistical analysis and hard numbers found in
quantitative reserch has distinct advantages in the reserch
process.
- Can be tested and checked-Quantitative reserch requires
carefull experimental design and the ability for anyone to
replicate both the test and the results.This makes the data you
gather more reliable and less open to argument.
- Straightforward analysis-When you collect quantitative data,the
type of results will tell you which statistical tests are
appropriate to use.As a result,interpreting your data and
presenting those findings is straightforward and less open to error
and subjectivity.
Disadvantages:
However,the focus on numbers found in quantitative reserch can
also be limiting,leading to several disadvantages,
- False focus on numbers-Quantitative reserch can be limited in
its pursuit of concrete,statistical relationship which can lead to
reserchers overlooking broader themes and relationships.by focusing
solely on numbers,you run the risk of missing surprising or
big-picture information that can benefit your business.
- Difficulty setting up a research modal-When you conduct
quantitative research,you need to carefully develop hypothesis and
set up a model for collecting and analyzing data.any error in your
set up ,bias on the part of the researcher or mistake in execution
can invalidate all your results.even coming up with a hypothesis
can be subjective,especially if you have a specific question that
you already know you want to prove or disprove.