The Importance of Data Collection in Research
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Collection
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Table of Content
Introduction
What is Data Collection?
Importance Of Data Collection
Data Collection Steps
Data Collection Methods
Primary Data Collection Methods
Secondary Data Collection Methods
Data Collection Challenges
Conclusion
Introduction
The underlying need for Data collection is to
capture quality evidence that seeks to answer all
the questions that have been posed. Through
data collection businesses or management can
deduce quality information that is a prerequisite
for making informed decisions.
To improve the quality of information, it is
expedient that data is collected so that you can
draw inferences and make informed decisions on
what is considered factual.
What is Data Collection?
Data collection is a methodical process of
gathering and analyzing specific information to
proffer solutions to relevant questions and
evaluate the results. It focuses on finding out all
there is to a particular subject matter. Data is
collected to be further subjected to hypothesis
testing which seeks to explain a phenomenon.
Hypothesis testing eliminates assumptions while
making a proposition from the basis of reason.
Importance Of Data Collection
There are a bunch of underlying reasons for collecting
data, especially for a researcher. Walking you
through them, here are a few reasons;
Integrity of the Research
A key reason for collecting data, be it through
quantitative or qualitative methods is to ensure that
the integrity of the research question is indeed
maintained.
Reduce the likelihood of errors
The correct use of appropriate data collection of
methods reduces the likelihood of errors consistent
with the results.
Importance Of Data Collection
Decision Making
To minimize the risk of errors in decision-making, it is
important that accurate data is collected so that the
researcher doesn't make uninformed decisions.
Save Cost and Time
Data collection saves the researcher time and funds that
would otherwise be misspent without a deeper
understanding of the topic or subject matter.
To support a need for a new idea, change, and/or
innovation
To prove the need for a change in the norm or the
introduction of new information that will be widely
accepted, it is important to collect data as evidence to
support these claims.
Data Collection Methods
Primary Data Collection Methods
Primary data is collected from the first-hand
experience and is not used in the past. The data
gathered by primary data collection methods are
specific to the research’s motive and highly
accurate.
Primary data collection methods can be divided
into two categories: quantitative methods and
qualitative methods.
Primary Data Collection Methods
Quantitative Methods
Quantitative techniques for market research and
demand forecasting usually make use of statistical
tools. In these techniques, demand is forecast
based on historical data. These methods of primary
data collection are generally used to make long-
term forecasts. Statistical methods are highly
reliable as the element of subjectivity is minimum
in these methods.
Time Series Analysis
Smoothing Techniques
Barometric Method
Quantitative Methods
Time Series Analysis
The term time series refers to a sequential order
of values of a variable, known as a trend, at
equal time intervals.
Using patterns, an organization can predict the
demand for its products and services for the
projected time.
Quantitative Methods
Smoothing Techniques
In cases where the time series lacks significant
trends, smoothing techniques can be used. They
eliminate a random variation from the historical
demand. It helps in identifying patterns and
demand levels to estimate future demand.
The most common methods used in smoothing
demand forecasting techniques are the simple
moving average method and the weighted
moving average method.
Quantitative Methods
Barometric Method
Also known as the leading indicators approach,
researchers use this method to speculate future
trends based on current developments.
When the past events are considered to predict
future events, they act as leading indicators.
Primary Data Collection Methods
Qualitative Methods
Qualitative methods are especially useful in situations when
historical data is not available. Or there is no need of
numbers or mathematical calculations.
Qualitative research is closely associated with words,
sounds, feeling, emotions, colors, and other elements that
are non-quantifiable. These techniques are based on
experience, judgment, intuition, conjecture, emotion, etc.
Surveys
Polls
Interviews
Delphi Technique
Focus Groups
Questionnaire
Qualitative Methods
Polls
Polls comprise of one single or multiple choice
question. When it is required to have a quick
pulse of the audience’s sentiments, you can go for
polls. Because they are short in length, it is easier
to get responses from the people.
Similar to surveys, online polls, too, can be
embedded into various platforms. Once the
respondents answer the question, they can also
be shown how they stand compared to others’
responses.
Qualitative Methods
Surveys
Surveys are used to collect data from the target
audience and gather insights into their preferences,
opinions, choices, and feedback related to their
products and services. Most survey software often a
wide range of question types to select.
You can also use a ready-made survey template to
save on time and effort. Online surveys can be
customized as per the business’s brand by changing
the theme, logo, etc. They can be distributed through
several distribution channels such as email, website,
offline app, QR code, social media, etc. Depending on
the type and source of your audience, you can select
the channel.
Qualitative Methods
Interviews
In this method, the interviewer asks questions
either face-to-face or through telephone to the
respondents. In face-to-face interviews, the
interviewer asks a series of questions to the
interviewee in person and notes down responses.
In case it is not feasible to meet the person, the
interviewer can go for a telephonic interview.
This form of data collection is suitable when there
are only a few respondents. It is too time-
consuming and tedious to repeat the same
process if there are many participants.
Qualitative Methods
Delphi Technique
In this method, market experts are provided with
the estimates and assumptions of forecasts made
by other experts in the industry. Experts may
reconsider and revise their estimates and
assumptions based on the information provided
by other experts.
The consensus of all experts on demand forecasts
constitutes the final demand forecast.
Qualitative Methods
Focus Groups
In a focus group, a small group of people, around
8-10 members, discuss the common areas of the
problem. Each individual provides his insights on
the issue concerned.
A moderator regulates the discussion among the
group members. At the end of the discussion, the
group reaches a consensus.
Qualitative Methods
Questionnaire
A questionnaire is a printed set of questions,
either open-ended or closed-ended. The
respondents are required to answer based on
their knowledge and experience with the issue
concerned.
The questionnaire is a part of the survey, whereas
the questionnaire’s end-goal may or may not be a
survey.
Secondary Data Collection
Methods
Internal sources of secondary data:
Organization’s health and safety records
Mission and vision statements
Financial Statements
Magazines
Sales Report
CRM Software
Executive summaries
Secondary Data Collection
Methods
External sources of secondary data:
Government reports
Press releases
Business journals
Libraries
Internet
Conclusion
Data collection is no more a once in a blue moon affair.
Collecting data has become a necessity for all organisations
that want to be able to make better informed decisions.
Collecting data lets you know what your customers think
about your brand, points out the areas that can improve,
helps generate leads, and lets you update your products
and services as per the latest customer behaviour and
trends.
References
•
Wikipedia.org
•
Google.com
•
Seminarppt.com
•
Studymafia.org
seminarppt.com
Data collection is a systematic process crucial for obtaining quality evidence in research. It helps in answering questions, making informed decisions, and improving the integrity of research outcomes. This practice ensures accuracy, minimizes errors in decision-making, saves time and resources, and supports the need for change or innovation. Effective data collection methods are essential for gathering relevant information to analyze and draw meaningful conclusions.
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Presentation Transcript
SeminarPpt.com Seminar On Data Collection Submitted to: Seminarppt.com Submitted By Seminarppt.com
Table of Content Introduction What is Data Collection? Importance Of Data Collection Data Collection Steps Data Collection Methods Primary Data Collection Methods Secondary Data Collection Methods Data Collection Challenges Conclusion
Introduction The underlying need for Data collection is to capture quality evidence that seeks to answer all the questions that have been posed. Through data collection businesses or management can deduce quality information that is a prerequisite for making informed decisions. To improve the quality of information, it is expedient that data is collected so that you can draw inferences and make informed decisions on what is considered factual.
What is Data Collection? Data collection is a methodical process of gathering and analyzing specific information to proffer solutions to relevant questions and evaluate the results. It focuses on finding out all there is to a particular subject matter. Data is collected to be further subjected to hypothesis testing which seeks to explain a phenomenon. Hypothesis testing eliminates assumptions while making a proposition from the basis of reason.
Importance Of Data Collection There are a bunch of underlying reasons for collecting data, especially for a researcher. Walking you through them, here are a few reasons; Integrity of the Research A key reason for collecting data, be it through quantitative or qualitative methods is to ensure that the integrity of the research question is indeed maintained. Reduce the likelihood of errors The correct use of appropriate data collection of methods reduces the likelihood of errors consistent with the results.
Importance Of Data Collection Decision Making To minimize the risk of errors in decision-making, it is important that accurate data is collected so that the researcher doesn't make uninformed decisions. Save Cost and Time Data collection saves the researcher time and funds that would otherwise be misspent without a deeper understanding of the topic or subject matter. To support a need for a new idea, change, and/or innovation To prove the need for a change in the norm or the introduction of new information that will be widely accepted, it is important to collect data as evidence to support these claims.
Primary Data Collection Methods Primary data is collected from the first-hand experience and is not used in the past. The data gathered by primary data collection methods are specific to the research s motive and highly accurate. Primary data collection methods can be divided into two categories: quantitative methods and qualitative methods.
Primary Data Collection Methods Quantitative Methods Quantitative techniques for market research and demand forecasting usually make use of statistical tools. In these techniques, demand is forecast based on historical data. These methods of primary data collection are generally used to make long- term forecasts. Statistical methods are highly reliable as the element of subjectivity is minimum in these methods. Time Series Analysis Smoothing Techniques Barometric Method
Quantitative Methods Time Series Analysis The term time series refers to a sequential order of values of a variable, known as a trend, at equal time intervals. Using patterns, an organization can predict the demand for its products and services for the projected time.
Quantitative Methods Smoothing Techniques In cases where the time series lacks significant trends, smoothing techniques can be used. They eliminate a random variation from the historical demand. It helps in identifying patterns and demand levels to estimate future demand. The most common methods used in smoothing demand forecasting techniques are the simple moving average method and the weighted moving average method.
Quantitative Methods Barometric Method Also known as the leading indicators approach, researchers use this method to speculate future trends based on current developments. When the past events are considered to predict future events, they act as leading indicators.
Primary Data Collection Methods Qualitative Methods Qualitative methods are especially useful in situations when historical data is not available. Or there is no need of numbers or mathematical calculations. Qualitative research is closely associated with words, sounds, feeling, emotions, colors, and other elements that are non-quantifiable. These techniques are based on experience, judgment, intuition, conjecture, emotion, etc. Surveys Polls Interviews Delphi Technique Focus Groups Questionnaire
Qualitative Methods Polls Polls comprise of one single or multiple choice question. When it is required to have a quick pulse of the audience s sentiments, you can go for polls. Because they are short in length, it is easier to get responses from the people. Similar to surveys, online polls, too, can be embedded into various platforms. Once the respondents answer the question, they can also be shown how they stand compared to others responses.
Qualitative Methods Surveys Surveys are used to collect data from the target audience and gather insights into their preferences, opinions, choices, and feedback related to their products and services. Most survey software often a wide range of question types to select. You can also use a ready-made survey template to save on time and effort. Online surveys can be customized as per the business s brand by changing the theme, logo, etc. They can be distributed through several distribution channels such as email, website, offline app, QR code, social media, etc. Depending on the type and source of your audience, you can select the channel.
Qualitative Methods Interviews In this method, the interviewer asks questions either face-to-face or through telephone to the respondents. In face-to-face interviews, the interviewer asks a series of questions to the interviewee in person and notes down responses. In case it is not feasible to meet the person, the interviewer can go for a telephonic interview. This form of data collection is suitable when there are only a few respondents. It is too time- consuming and tedious to repeat the same process if there are many participants.
Qualitative Methods Delphi Technique In this method, market experts are provided with the estimates and assumptions of forecasts made by other experts in the industry. Experts may reconsider and revise their estimates and assumptions based on the information provided by other experts. The consensus of all experts on demand forecasts constitutes the final demand forecast.
Qualitative Methods Focus Groups In a focus group, a small group of people, around 8-10 members, discuss the common areas of the problem. Each individual provides his insights on the issue concerned. A moderator regulates the discussion among the group members. At the end of the discussion, the group reaches a consensus.
Qualitative Methods Questionnaire A questionnaire is a printed set of questions, either open-ended or closed-ended. The respondents are required to answer based on their knowledge and experience with the issue concerned. The questionnaire is a part of the survey, whereas the questionnaire s end-goal may or may not be a survey.
Secondary Data Collection Methods Internal sources of secondary data: Organization s health and safety records Mission and vision statements Financial Statements Magazines Sales Report CRM Software Executive summaries
Secondary Data Collection Methods External sources of secondary data: Government reports Press releases Business journals Libraries Internet
Conclusion Data collection is no more a once in a blue moon affair. Collecting data has become a necessity for all organisations that want to be able to make better informed decisions. Collecting data lets you know what your customers think about your brand, points out the areas that can improve, helps generate leads, and lets you update your products and services as per the latest customer behaviour and trends.
References Wikipedia.org Google.com Seminarppt.com Studymafia.org
