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Researchopedia ISBN: 978-93-93166-28-9 For verification of this chapter, please visit on http://www.socialresearchfoundation.com/books.php#8 |
Data Collection |
Meghna Verma
Assistant Professor
Optometry
Rama Institute of Paramedical Sciences, Rama University
Kanpur, Uttar Pradesh, India
Satyendra Singh Sachan
Assisstant Professor
Optometry
Rama Institute of Paramedical Sciences
Kanpur, Uttar Pradesh, India
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DOI:10.5281/zenodo.8341610 Chapter ID: 18034 |
This is an open-access book section/chapter distributed under the terms of the Creative Commons Attribution 4.0 International, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
Introduction Before choosing a data collection
method, it is necessary to determine the type of data required for the study.
Data collection as a primary step in research can cloud the quality of results
obtained by reducing possible errors in a research project. A researcher needs
many tools or techniques to collect data. Tests are tools that measure and
guide researchers in collecting and evaluating data. Tools can vary in
complexity, interpretation, design, and administration. Each tool is suitable
for collecting a certain type of information. An appropriate data collection
method helps with good research planning, it does not necessarily guarantee the
overall success of the research project. It is necessary to choose from among
the available tools those that will provide the data sought to test the
hypotheses. Data can be classified in a variety of ways, including quantitative
and qualitative. Qualitative data Qualitative data may be relevant
to collect additional information to discover and identify new impacts and
consequences of research programmes, and ultimately to improve the quality of
quantitative outcomes. . Qualitative methods fall into three main categories,
including observations, document reviews, and in-depth interviews, despite the
fact that there are less common ways to collect qualitative data. Quantitative data Numerical data generated and
calculated by a mathematical method is recognized as quantitative data. There
are many different scales for measuring quantitative data, including nominal,
ordinal, interval, and ratio scales. Scales can also be classified into two
general categories, “rating scales and attitude scales”. Rating scales assign a
numerical value to points or categories to rate them. Attitude scales, on the
other hand, determine a person's predisposition towards an individual, a
phenomenon or an object. Data Collection
Methods Data collection methods play an
important role in the research process as they determine the quality and
accuracy of the data collected. The data collection task begins after a
research problem has been identified and the study design has been planned. The
method of data collection is of great importance. • Determine the quality and
accuracy of the collected data. • Ensure that the data is relevant, valid and
reliable. • This reduces bias and increases
the representativeness of the sample. • Necessary to make informed
decisions and correct conclusions. • Facilitate the achievement of
research objectives by providing accurate data. • Support the validity and
reliability of research results. Generally, data collection methods are divided
into two main categories as primary data collection methods and secondary data
collection methods. Primary Data
Collection Methods Several methods can be used to
collect primary data. Which method to choose depends on the research objectives
and available resources. The data to be collected and the skills of the
researcher. By primary data collection method that is specific to the research
reason and has high accuracy. Primary data collection method We collect primary data during
testing in empirical research, but in the case we conduct descriptive research
and conduct surveys, whether sample surveys or census surveys. We may collect
primary data by observation or direct communication with respondents. In one
form or another or through personal interviews. There are several methods of
primary data collection: 1. Observation method, 2. Maintenance method 3. By questionnaire 4. Through the schedule 5. Other methods include (a)
survey, (b) warranty card, (c) diary, (d) link analysis, (e) memo study, (f)
Delphi technique. We briefly review each method separately. Observation Methods Observation is the most commonly
used scientific tool and data collection method for researchers. This can be
useful when the concept is unexplored or poorly understood. If it is necessary
to explore a topic in a natural context and the information reported may differ
from the results of the actual context, observational techniques should be
used. This method allows both qualitative and quantitative data to be
collected. Qualitative data are collected as descriptions of events in the
frame. Quantitative data can be obtained using the duration or frequency of
specific subjects. Benefits: 1. This is a reliable and valid
technique for collecting data and information. 2. We receive data directly
through this method. 3. Observable files are also
available immediately. 4. It is a simple, extensive and
complete method. 5. This is an older technique to
collect data and get live insights. Limitation: 1. It's a subjective method. 2. It's a time consuming process. 3. It's an expensive method. 4. The information provided by
this method is very limited. 5. Observers must be trained and
experienced. Interview Method Interviewing is a two-way method
that allows the exchange of ideas and information. "Interview is
essentially a social interaction" by W. J. Goode & P.K. Hat. According
to Burns, "an interview is a verbal exchange, usually face-to-face,
although telephone may be used, in which the interviewer attempts to gather
information, beliefs, or opinions. from someone else". In face-to-face
interviews, the face-to-face interviewer asks a series of questions to the
interviewee and records the responses. If the person is not available, the
interviewer can conduct a phone interview. This form of data collection is only
suitable for a small number of respondents. Too long and tedious to repeat the
same process if there are many participants Features of an
interview: 1. Investigators can probe random
factors, determine attitudes, find the source of the problem. 2. Treatment of
young children and illiterate people is appropriate. 3. Can cross check. 4. This helps the interviewer get
an idea of who is involved. 5. He can deal with delicate,
secretive and even intimate topics. 6. The sincerity, frankness,
honesty and insight of the interviewee can best be assessed by
cross-questioning. 7. This leaves respondents with no chance to change their
previous answers. 8. It is applicable in survey
methodology, but it also applies in historical, experimental, case and clinical
studies. Advantages 1. They can help explore social,
health and cultural concepts, for example, by looking at people's behavior in
different situations. 2. Individual literacy is not an
issue. 3. They are suitable for
exploring complex topics. 4. They are useful for developing
hypotheses. Disadvantages 1. Can be expensive and time
consuming. 2. Lack of closeness on the face.
3. A trained instructor is required 4. Can solve problems caused by
limited individual domination in discussion groups. Questionnaire Methods It can be defined as; "A
questionnaire is a systematic set of questions sent to a sample of the
population from which information is desired." Barr, Davis & Johnson.
“In general, the word questionnaire refers to a device that secures answers to
questions using a form that respondents fill out themselves. W J. Goode and K.
Hall. This method of data collection is quite common, especially for large surveys.
It is accepted by individuals, researchers, private and public organizations
and even the government. A questionnaire is a written list of questions, the
answers of which are recorded by the respondent. In a questionnaire,
respondents read the questions, explain what is expected, and then score the
responses. The questionnaire is mailed to respondents, who are expected to read
and understand the questions and write their answers in the space provided in
the questionnaire itself. Respondents must answer the questions alone. Before
using this method, it is always advisable to conduct a “Pilot Survey” to test
the questionnaire. Questionnaire
management mode: 1. Administer a face-to-face
questionnaire, in which the interviewer presents the items orally. 2. Administer a paper-and-pencil
questionnaire in which items are presented on paper. 3. Administer a computerized
questionnaire, where items are presented on a computer. 4. Adaptive computerized
questionnaire management, where the selection of items is presented on the
computer and based on the answers to these items, the computer selects the next
items that are optimized for the candidate's estimated abilities or
characteristics. Characteristics of a
good questionnaire: 1. It relates to an important or
significant topic. 2. It should be as short as
possible, just long enough to get the required data. 3. It has an attractive
appearance, almost arranged and clearly reproduced or printed. 4. Instructions are clear and
complete, important terms are clarified. 5. Objective questions, no hints
or suggestions. 6. The questions are presented in
order from simple to complex. 7. Avoid double negation, adverbs
and descriptive adjectives. 8. It is easy to tabulate,
summarize and explain. Advantages of the
questionnaire method: 1. Low cost even when the
universe is large and geographically dispersed. 2. There is no bias on the part
of the interviewer. 3. Large samples can be used and
the results can therefore be more reliable. Disadvantages of the
questionnaire method: 1. Thanks to this, we only get
limited answers. 2. Lack of personal touch. 3. It can only be used when the
respondent is educated and cooperative. 4. The possibility of wrong
answer is higher. 5. More likely to get an incomplete response. 6. It is difficult to know if the
voluntary respondents are really representative. Schedule When a researcher uses a set of
questions for interview purposes, it is called a schedule. "Schedule is
the name commonly applied to a set of questions, asked and answered by one
interviewer in a face-to-face situation" by W.J. Goode & P.K. Hatt.
According to Thomas Carson Macormie, "The calendar is nothing more than a
list of questions, seemingly necessary for hypothesis testing." As such, a
timeline is a list of questions formulated and presented with the specific
purpose of testing a hypothesis or hypothesis. In the calendar approach,
maintenance takes center stage and plays an important role. Important schedule
features: 1. Schedule presented by the interviewer.
Questions were asked and answers were recorded. 2. The question list is just a
formal text, it doesn't need to be attractive. 3. Calendars can be used in a
very narrow field of social studies. 4. During the programme, the list
of questions is planned in advance and formally recorded and the interviewer is
always equipped with a formal document detailing the questions. Points to keep in
mind when designing a calendar: 1. Interviewers shouldn't
ask long, complicated, and flawed questions. 2. Don't ask irrelevant and
unnecessary questions. 3. The schedule should not
contain personal and unpleasant questions. Their questions should be simple,
clear, and relevant to the topic. 4. The program should include
objective, indirect and clear questions. Survey Surveys are used to collect data
from the target audience and gather information about their preferences,
opinions, choices and feedback about their products and services. Most survey
software usually has multiple question types to choose from. You can also use
pre-made survey templates to save time and effort. Online surveys can be
customized for company branding by altering egos, logos, etc. They can be
distributed through several distribution channels like email, website, offline
app, QR code, social media, etc. Depending on your audience type
and source, you can choose a channel. Once data is collected, survey software
can generate various reports and run analytical algorithms to uncover hidden
information. The survey dashboard can provide you with statistics regarding
response rates, completion rates, demographic-based filters, export and sharing
options, and more. Integrating survey generators with third-party applications
can maximize real-time online data collection efforts. Some Other Data
Collection Methods Polls Polls consist of a single or
multiple choice question. You can participate in opinion polls without having
to get a quick understanding of public sentiment. Since it's short and easier
to get feedback from people. Like surveys, online surveys can also be integrated
with various platforms. Once the respondent has answered the question, it can
also be shown how it compares to other answers. Warranty Card Warranty cards are typically
postcard-sized cards used by consumer durables retailers to collect information
about their products. The search information is printed as a question on a
"warranty card" placed inside the packaging with the product, with
the consumer required to fill out the card and return it to the retailer. Diaries These self-administered questionnaires
asked participants to complete forms in two different situations. First,
event-based people ask to be populated when something happens. The second type
is called a time-based diary that must be completed at a specific time or
interval. On the other hand, journaling can also be evocative and reactive
research. Suggested types allow participants to use media to aid their memory.
Response research uses predefined questions for immediate answers. This method can be used in the
following cases: 1. Follow people over time. 2. Perform cross-individual
comparisons 3. Investigate processes between
families and individuals. Link Analysis It is a method of data analysis
that can be used to discover associations, connections, and relationships
between different objects. This analysis can be based on relational, physical
and numerical aspects. Therefore, data collection by this method can also be
based on numerical data, for example from web pages. This method is also used
in networking. For this, data traversing the links is analyzed to discover the
integrity of the links between each node of the network. Typically, this method
uses known violation patterns to discover anomalies, examines related objects
to match known patterns of interest, and finally uncovers new patterns of
interest. Memo Motion Study This method is also known as
interval photography and uses a camera to analyze a long process. As a tool of
the times, he uses film material for research purposes. Today, this technique
is widely used, since many current parameters can satisfy the necessary
conditions. Delphi Technology In the Delphi method, market
experts receive estimates and assumptions of forecasts made by industry
experts. Experts may review and revise their estimates and assumptions based on
information provided by other experts. All-expert consensus on demand
forecasting versus final demand forecasting. Second Data
Collection Methods Secondary data is data that has
been used in the past. Research can draw data from data sources, both internal
and external to the organization. Secondary data collection methods may also
include active quantitative and qualitative techniques. Secondary data is
available, takes less time and is more expensive than primary data. However,
with the secondary data collection method, the author cannot verify the
accuracy of the collected data. Secondary data is data collected
from primary sources that can be used in ongoing research. Secondary data
collection usually takes much less time than primary data collection, where you
will have to collect all the information from scratch. Therefore, it is
possible to collect more data in this way. Secondary data can be obtained
from two different research streams - Quantitative: Census, housing, social security
as well as election statistics and other related databases. Qualitative: Semi-structured and
semi-structured interviews, focus group transcripts, field notes, observation
diaries, and other personal research-related materials. Secondary data is
usually available. After the cost of electronic media and the Internet, the
availability of secondary data has become much easier. Print Source
Published There are many published print
sources. Their reliability depends on many factors. For example, about the
author, publisher and date and time of publication. New sources are preferred
and old sources should be avoided as new technologies and research present new
facts. Books Books are available today on any
subject you want to study. The use of books begins even before you choose a
subject. After selecting topics, the books will provide an overview of the
amount of work that has been done on the same topic and you can prepare for
your literature review. Books are the secondary but most authentic of the
secondary sources. Journals/Periodicals Journals and periodicals are
becoming increasingly important for data collection. The reason for this is
that journals provide up-to-date information that sometimes books cannot and
secondly, journals can provide information about the very specific subject you
are researching instead of telling on more general topics. Magazine/Newspaper Magazines are also effective but
not very reliable. On the other hand, journalism is more reliable and in some
cases information can only be obtained from the press, such as in the case of
some political research. Electronic Source As the Internet is increasingly
advanced, fast and accessible to the masses; It has been found that a lot of
information that is not available in printed form is available on the internet.
In the past, the reliability of the Internet was questioned, but today that is
no longer the case. The reason is that in the past, magazines and books were
rarely published on the Internet, but today most magazines and books are
available online. Some are free and for others you pay a price. Electronic Magazine Electronic journals are more
popular than print magazines. The latest journals are hard to get without a
subscription, but if your university has an electronic library you can view any
journal, print it, and those that don't, you can order row. General Sites In general, websites do not
contain very reliable information, so their content should be checked for
reliability before citing them. Weblog Blogs are also gaining
popularity. They are actually magazines written by different people. These
journals are reliable to use as personal writing journals. Unpublished
Personal Records Some unpublished data may also be
useful in some cases. Calendar and Diaries are personal records and are rarely
available, but if you do descriptive research they can be very helpful. The
diary of Anne Frank is the most famous example. This diary contains the most accurate
records of the Nazi wars. Letters Letters such as diaries are also
a rich source but should be checked for reliability before use. Government
documents: Government archives are important
for research in marketing, management, humanities, and social sciences. Census/Census data Health records; Records of
educational institutions, etc. Industry Profile NGO survey data; Register of
other private companies. References: 1.
Frechtling, J. (2002). An overview of quantitative and qualitative data
collection methods The 2002 userfriendly handbook for project evaluation (pp.
43-62). 2.
Hox, J. J., & Boeije, H. R. (2005). Data collection, primary versus
secondary Encyclopedia of social Measurement (Vol. 1): Elsevier. 3.
Data collection challenges (2005). 4.
Kabir, S. M. S. (2016). Methods Of Data Collection Basic Guidelines for
Research: An Introductory Approach for All Disciplines (first ed., pp.
201-275). 5.
Olsen, W. (2012). Data collection: Key debates and methods in social research
(Vol. 1): Sage. 6.
Pandey, P., & Pandey, M. M. (2015). Research Methodology: Tools and
Techniques (Vol. 1). Romania: Bridge Center. 7.
Kabir, S.M.S. (2018). Psychological health challenges of the hill-tracts region
for climate change in Bangladesh. Asian Journal of Psychiatry, Elsevier,34,
74–77. 8.
Kabir, S.M.S., Aziz, M.A., & Jahan, A.K.M.S. (2018). Women Empowerment and
Governance in Bangladesh. ANTYAJAA: Indian journal of Women and Social Change,
SAGE Publications India Pvt. Ltd, 3(1), 1-12 9. Kabir, S.M.S., Shahid, S.F.B., & Karim, S.F. (2007). Personality between Housewives and Working Women in Bangladesh. The Dhaka University Journal of Psychology, 31, 73- 84 10. Kabir, S.M.S. & Karim, S.F. (2005). Influence of Type of Bank and Sex on Self-esteem, Life Satisfaction and Job Satisfaction. The Dhaka University Journal of Psychology, 29, 41- 52 |