Qualitative Research
Qualitative Research
is primarily exploratory research.It is used to gain an understanding of underlying reasons,
opinions, and motivations. It provides insights into the problem or helps to develop
ideas or hypotheses for potential quantitative research. Qualitative Research
is also used to uncover trends in thought and opinions, and dive deeper into
the problem. Qualitative
data collection methods vary using unstructured or semi-structured techniques. Some common methods
include focus
groups (group discussions), individual interviews, and
participation/observations. The sample size is typically small, and respondents are
selected to fulfil a given quota.
Qualitative
Research
Qualitative research presents non-quantitative type of
analysis. Qualitative research is collecting, analyzing and interpreting data by observing what people
do and say. Qualitative
research refers to the meanings, definitions, characteristics, symbols, metaphors, and
description of things. Qualitative research is much more subjective and uses very
different methods of collecting information,mainly individual, in-depth
interviews and focus groups.
The nature of this type of research is exploratory and open
ended. Small number of people are interviewedin depth and or a relatively small number of focus
groups are conducted. Qualitative research can be further classified in the
following type.
I. Phenomenology:-a form of research in which the researcher
attempts to understand how one or more individuals experience a phenomenon.
Eg:-we might interview 20 victims of bhopal tragedy.
II. Ethnography:- this type of research focuses on describing the
culture of a group of people. A culture is the shared attributes, values, norms, practices,
language, and material things of a group of people. Eg:-the researcher might
decide to go and live with thetribal in Andaman island and study the culture and the educational
practices.
III. Case study:-is a form of qualitative research that is
focused on providing a detailed account of one or more cases. Eg:-we may study a classroom
that was given a new curriculum for technology use.
IV. Grounded theory:- it is an inductive type of research,based
or grounded in the observations of data from which it was developed; it uses a
variety of data sources, including quantitative data, review of records,
interviews, observation and surveys
V. Historical research:-it allows one to discuss past and present
events in the context of the present condition, and allows one to reflect and provide possible answers
to current issues and problems. Eg:-the lending pattern of business in the 19th century.
In addition to the above, we also have the descriptive
research. Fundamental research, of which this is based on establishing
various theories
Also the research is classified into:
1. Descriptive research
2. Analytical research
3. Fundamental research
4. Conceptual research
5. Empirical research
6. One time research or longitudinal research
7. Field-setting research or laboratory research or simulation
research
8. Clinical or diagnostic research
9. Exploratory research
10. Historical research
11. Conclusion oriented
research
12. Case study research
13. Short term research
Qualitative Research[edit]
· Many times those that
undertake a research project often find they are not aware of the
differences between Qualitative Research and Quantitative Research methods.
Many mistakenly think the two terms can be used interchangeably.
· So what is the
difference between Qualitative Research and Quantitative Research?
Quantitative Research
· Quantitative Research
is used to quantify the problem by way of generating numerical data or data
that can be transformed into usable statistics. It is used to quantify
attitudes, opinions, behaviors, and other defined variables – and generalize
results from a larger sample population. Quantitative Research uses measurable
data to formulate facts and uncover patterns in research. Quantitative data
collection methods are much more structured than Qualitative data collection
methods. Quantitative data collection methods include various forms of surveys
– online
surveys, paper
surveys, mobile
surveys and kiosk surveys, face-to-face interviews, telephone interviews, longitudinal
studies, website interceptors, online polls, and systematic observations.
· Snap Survey Software is the ideal
survey platform and online research software where structured
techniques such as large numbers of respondents and descriptive findings are
required. Snap Survey Software has many robust features that will help your
organization effectively gather and analyze quantitative data.
Quantitative Research
This research is based on numeric figures or numbers.
Quantitative research aim to measure the quantity or amount and compares it
with past records and tries to project for future period. In social sciences,
“quantitative research refers to the systematic empirical investigation of
quantitative properties and phenomena and their relationships”. The objective
of quantitative research is to develop and employ mathematical models, theories
or hypothesis pertaining to phenomena.
The process of measurement is central to quantitative research
because it provides fundamental connection between empirical observation and
mathematical expression of quantitative relationships. Statistics is the most
widely used branch of mathematics in quantitative research. Statistical methods
are used extensively with in fields such as economics and commerce.
Get Better
Data and Simplify Analysis: Qualitative vs. Quantitative Questions
Lisa works in Human
Resources at Widgets, Inc. Lately, she’s heard rumblings that employees are unhappy with
their supervisors, but she’s not sure why. Determined to find out what’s going
wrong, she sets up one-on-one meetings with every single employee.
Unfortunately, none of the meetings are helpful, because no one is willing to say
anything negative about their supervisor out loud.
Frustrated, Lisa
decides to send a survey instead—hoping that the anonymity of a survey will make employees feel
more comfortable about sharing what they really think. She sits down to create
her survey, however, and feels a little stuck and overwhelmed.
Okay, thinks Lisa,
let’s start with the basics…
This type of question is known as an “open-ended” or “qualitative” question. It is called “open-ended” because the person responding to it is free to answer in any manner he or she chooses.
There are no response options
specified. It is known as “qualitative” because responses are judged and
measured by feel rather than by mathematics.
Lisa, anxious for her
survey to be a success, thinks about how she’d answer this question about her own supervisor…
The great
thing about this data is that if Lisa has no idea why people are upset with
their supervisors, it gives them free reign to answer. For example,
Lisa might not have thought to ask specifically aboutwhether a supervisor
fosters work-life balance—but this might emerge as a theme among responses.
There are, however,
some problems with open-ended, qualitative questions…
1. Whaddya mean
by that? Qualitative questions can be vague. What do I think about my supervisor? Are
you referring to his management style? His fashion sense? His punctuality? His
credentials? Re-writing open-ended questions to be more specific can help with
that. For example: Please describe your supervisor’s management style.
However, questions
may still
linger when specific
responses are not provided. It’d be much easier to answer the following
question about supervisor management style:
This type of question
is known as a “closed-ended” or “quantitative” question. It is called
“closed-ended” because the person responding to it is constricted in the
range of options he or she has to choose from as answers. It is
known as
“quantitative” because the response options can be converted to numbers. Why does that
matter?
2. What on earth should I do with
all this data? Figuring out what questions to ask is tough but figuring out what to
do with the answers you get can be even tougher. With qualitative questions, you need to
read all of the responses carefully in order to extract common themes. However,
this process can be riddled with bias, as you often see only what you want to see
in open-ended response
answers. That’s
why quantitative questions can be so great!
All you have to
do is compute an average of the
responses you get, a simple calculation in a spreadsheet with
no hours of reading required. This also makes more complex analyses–like group
comparisons–lightning fast. Simply compute an average for each group, compare,
and you’re done!
3. What else
is in it for me? The other thing to know about qualitative questions is that they take a really
long time to answer. As a survey respondent, it’s much faster to choose one of five
pre-formulated options than to have to take the time to write your own
response. And, as we’ve mentioned before, keeping surveys short keeps
respondents focused and interested. So not only will you get to ask more
questions when you use quantitative questions, but it will also get you better
data! Getting the most accurate data possible means that you’ll make the right
decision every time.
So what’s the bottom
line? Qualitative questions are a
fantastic first step at exploring the minds of the people
you want to survey, but they shouldn’t be your last. Using quantitative questions makes questions
clearer, analysis simpler, and data quality better.
Take the time to think
of specific quantitative questions to ask now—trust us, you’ll
be glad that you did. As for Lisa, here’s hoping she figured out the right
quantitative questions to ask to get the answers she needed.
No comments:
Post a Comment