This document discusses various methods of data collection. It describes primary data collection methods like personal interviews, questionnaires, and observation. It also discusses secondary data collection from published sources like government publications and commercial research, as well as unpublished sources. The key differences between primary and secondary data are described, such as primary data being real-time while secondary data is from the past. Popular data storage methods include databases, spreadsheets, and statistical programs. The document emphasizes that the best data collection method depends on the research problem and available resources.
Data collection - Statistical data are a numerical statement of aggregates. Data, generally, are obtained through properly organized statistical inquiries conducted by the investigators. Data can either be from primary or secondary sources.
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Data Collection (Methods/ Tools/ Techniques), Primary & Secondary Data, Assessment of Qualitative Data, Qualitative & Quantitative Data, Data Processing
Presentation Contents:
- Introduction to data
- Classification of data
- Collection of data
- Methods of data collection
- Assessment of qualitative data
- Processing of data
- Editing
- Coding
- Tabulation
- Graphical representation
If anyone is really interested about research related topics particularly on data collection, this presentation will be the best reference.
For Further Reading
- Biostatistics by Prem P. Panta
- Fundamentals of Research Methodology and Statistics by Yogesh k. Singh
- Research Design by J. W. Creswell
- Internet
Data collection - Statistical data are a numerical statement of aggregates. Data, generally, are obtained through properly organized statistical inquiries conducted by the investigators. Data can either be from primary or secondary sources.
Dear viewers Check Out my other piece of works at___ https://healthkura.com
Data Collection (Methods/ Tools/ Techniques), Primary & Secondary Data, Assessment of Qualitative Data, Qualitative & Quantitative Data, Data Processing
Presentation Contents:
- Introduction to data
- Classification of data
- Collection of data
- Methods of data collection
- Assessment of qualitative data
- Processing of data
- Editing
- Coding
- Tabulation
- Graphical representation
If anyone is really interested about research related topics particularly on data collection, this presentation will be the best reference.
For Further Reading
- Biostatistics by Prem P. Panta
- Fundamentals of Research Methodology and Statistics by Yogesh k. Singh
- Research Design by J. W. Creswell
- Internet
Methods of data collection (research methodology)Muhammed Konari
Included all types of data collection.Includes primary data collection and secondary data collection. Described each and every classification of Data collections which are included in KTU Kerala.
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Formulation of Research problem
What is research problem?
A research problem is a specific issue, difficulty, contradiction, or gap in knowledge that we will aim to address in our research.
In other words, A research problem can be any question that we want to answer and any assumption or assertion that we want to challenge or investigate.
The formulation of a research problem is the most crucial part of the research journey as the quality and relevance of a research project entirely depends upon it.
The process of formulating a research problem consists of a number of steps. These are:
Step 1: Identify a broad field or subject area of interest.
Step 2: Dissect the broad areas into subareas
Step 3: Select what is of most interest to us.
Step 4: Raise research questions
Step 5: Formulate objectives
Step 6: Assess our objectives
Step 7: Double-check
Different Methods of Collection of DataP. Veeresha
Data collection is a term used to describe a process of preparing and collecting data.
Data are the basic inputs to any decision making process in any fields like education, business, industries…. etc
The primary data are those which are collected afresh and for the first time, and thus happen to be original in character. It is real time data and which are collected by the researcher himself.
Secondary data means data that are already available i.e., they refer to the data which have already been collected and analyzed by someone else.
Methods of data collection (research methodology)Muhammed Konari
Included all types of data collection.Includes primary data collection and secondary data collection. Described each and every classification of Data collections which are included in KTU Kerala.
Probability Sampling and Types by Selbin Babuselbinbabu1
The presentation will cover probability sampling and all the types of probability sampling like Random sampling , systematic random sampling, strtified random sampling, cluster random sampling and multi stage sampling.
Formulation of Research problem
What is research problem?
A research problem is a specific issue, difficulty, contradiction, or gap in knowledge that we will aim to address in our research.
In other words, A research problem can be any question that we want to answer and any assumption or assertion that we want to challenge or investigate.
The formulation of a research problem is the most crucial part of the research journey as the quality and relevance of a research project entirely depends upon it.
The process of formulating a research problem consists of a number of steps. These are:
Step 1: Identify a broad field or subject area of interest.
Step 2: Dissect the broad areas into subareas
Step 3: Select what is of most interest to us.
Step 4: Raise research questions
Step 5: Formulate objectives
Step 6: Assess our objectives
Step 7: Double-check
Different Methods of Collection of DataP. Veeresha
Data collection is a term used to describe a process of preparing and collecting data.
Data are the basic inputs to any decision making process in any fields like education, business, industries…. etc
The primary data are those which are collected afresh and for the first time, and thus happen to be original in character. It is real time data and which are collected by the researcher himself.
Secondary data means data that are already available i.e., they refer to the data which have already been collected and analyzed by someone else.
Event Management System Vb Net Project Report.pdfKamal Acharya
In present era, the scopes of information technology growing with a very fast .We do not see any are untouched from this industry. The scope of information technology has become wider includes: Business and industry. Household Business, Communication, Education, Entertainment, Science, Medicine, Engineering, Distance Learning, Weather Forecasting. Carrier Searching and so on.
My project named “Event Management System” is software that store and maintained all events coordinated in college. It also helpful to print related reports. My project will help to record the events coordinated by faculties with their Name, Event subject, date & details in an efficient & effective ways.
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Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
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When a customer search for a automobile, if the automobile is available, they will be taken to a page that shows the details of the automobile including automobile name, automobile ID, quantity, price etc. “Automobile Management System” is useful for maintaining automobiles, customers effectively and hence helps for establishing good relation between customer and automobile organization. It contains various customized modules for effectively maintaining automobiles and stock information accurately and safely.
When the automobile is sold to the customer, stock will be reduced automatically. When a new purchase is made, stock will be increased automatically. While selecting automobiles for sale, the proposed software will automatically check for total number of available stock of that particular item, if the total stock of that particular item is less than 5, software will notify the user to purchase the particular item.
Also when the user tries to sale items which are not in stock, the system will prompt the user that the stock is not enough. Customers of this system can search for a automobile; can purchase a automobile easily by selecting fast. On the other hand the stock of automobiles can be maintained perfectly by the automobile shop manager overcoming the drawbacks of existing system.
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This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
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1. METHODS OF DATA COLLECTION
:Chintan H.Trivedi
M.Tech Industrial
1st Sem RCOEM.
2. Seminar Overview
• Data Collection?
• Need for Data Collection
• Factors to be considered for data
collection
• Sources of Data
• Primary Data and Collection Methods
• Popular methods of Data Collection
• Questionnaire
• Secondary Sources & Collection Methods
• Differences between Primary &
Secondary sources
3. Data Collection?
• Data collection is the process of gathering and measuring
information on variables of interest, in an established
systematic fashion that enables one to answer stated
research questions and evaluate outcomes
• The data collection component of research is common to all
fields of study including physical and social sciences,
humanities, business, etc.
• The goal for all data collection is to capture quality evidence
so as to translate into rich data analysis
4. Need of Data Collection
• To get information for analysis.
• To get idea about real time situation.
• For comparison between two situation.
5. Factors to be considered before collection of
Data
• Scope of the enquiry.
• Sources of information.
• Quantitative expression.
• Techniques of data collection.
• Unit of collection.
7. Internal and External Source of Data
Internal Sources of Data
• Many institutions and departments have information about
their regular functions, for their own internal purpose.
• When those information is used in any survey, it’s called
Internal Source Of Collection of Data.
• E.g.., Railway Educational Institutes & Social Welfare
Societies etc.
8. Internal and External Source of Data
External Sources of Data
• When information is collected form outside agencies, it is
called external source of data.
• Such type of data are either Primary or Secondary.
• This type of information can be collected by Census or
Sampling method by conducting surveys.
9. Primary Data
• Primary data are those which are collected for the first
time.
• It is real time data which are collected by the researcher
himself.
• This is the process of Collecting and making use of the
data.
• This Data originated by the researcher specifically to
address the research problem.
10. Primary Research Methods
• Focus Groups – bring together respondents with common
characteristics
• Observation - actually view respondents
• Non-personal survey – on site, telephone, mail, fax, computer,
panel
• Personal interview - one-on-one survey with respondents
• Official records – internal document survey research
11. Method of Collecting Primary Data
• 1. Direct personal Investigation ( i.e. Interview Method)
Under this method the investigator collects the data
personally. He approaches the objects, conducts the
enquiry on the spot, collects information. For the
successful collection of data under this method, it’s
necessary that the investigator should be polite, unbiased
and aware of the local conditions, environment and
languages.
12. Method of Collecting Primary Data
• 2. Indirect oral investigation ( i.e. through
enumerators)
Under this the investigator doesn’t collects the information
directly, instead he gets them indirectly through those
persons who know the information and who are ready to
part away with the information they posses. This method is
used in case where direct contact is not possible.
• 3. Investigation through Local reporters Questionnaire
In this method data are not collected through specially
appointed agents/
correspondents/investigators/enumerators but local agents
or correspondents are requested to collect the information.
They collect the information in their own fashion and
according to their liking’s and disliking.
13. Method of Collecting Primary Data
• 4. Investigation through mailed Questionnaire
Under this method the investigator may either appoint
local agents/ investigators/ enumerators and mail them the
questionnaire for collecting information or collecting by his
own using mail or telephone.
14. Method of Collecting Primary Data
• 5. Investigation through Observation
In this watching behaviour of object and most commonly
used method in behavioural science. One major problem in
this method is that Natural response is not obtained when
respondent know he is observed.
Type of Observation-
1)Participant Observation
2)Non-Participant Observation
3)Disguised Observation
4)Controlled Observation
5)Uncontrolled Observation
15. Popular data collection methods
Mailing paper questionnaires to respondents, who fill them
out and mail them back
Having interviewers call to respondents on the telephone
and ask them the question in a telephone interview
Sending the interviewers to the respondent’s home or
office to administer the questions in face-to-face (FTF)
interviews
16. Important characteristics of good
questionnaires
Plan a user-friendly format
Gather demographic data – age, gender, etc., when necessary.
Avoid ambiguity
Ensure ease of tabulation
Develop for completeness – get all the data
17. Secondary Data
Secondary data are those that have already been collected
by others.
These are usually in journals, periodicals, research
publications, official records etc.
Secondary data may be available in the published or
unpublished form. When it is not possible to collect the
data by primary method, the investigator go for Secondary
method.
18. Method of Collecting Secondary Data
1. Published Sources
a) International Publication
UNO publishes a number of journals and periodicals which are best
sources of secondary data for national as well as international facts.
b) Government Publications
The Govt. of India as well as other state Govt. publish data for their use
as well as for the use of researcher and others. These data are very
much accurate and reliable for various types of investigations.
c) Publication
Municipal corporations, boards, etc. publish data pertaining to birth rate,
death rate, literacy, etc. These can be effectively put to use by
investigators.
d) Commercials Research, Educational Institute, Unions, Organizations
These institutions also conduct enquiry and publish their reports through
which data can be had for use of investigators enquiring on the related
subjects.
19. Method of Collecting Secondary Data
2. Unpublished Sources
In some of the cases, enquiry are conducted, data are
classified and analysed but due to some reasons or other
findings are not published though they are preserved either
by the individual or a society. They can also be used by the
investigators as Secondary Data.
20. Sources of Primary & Secondary data
Primary Data Sources
Secondary Data
Sources
Data and Original
Research
Diaries and Journals
Speeches and Interviews
Autobiographies and
Memoirs
Government Documents
Encyclopaedias
Chronologies
Biographies
Monographs (a
specialized book or
article)
Abstracts of articles
21. Difference between Primary and
Secondary Data
PRIMARY DATA SECONDARY DATA
Real time data.
Sure about sources of
data.
Costly and Time
consuming process.
Avoid biasness of
response data.
More flexible.
Past data.
Not sure about sources of
data.
Cheap and No time
consuming process
Can not know if data
biasness or not.
Less Flexible.
22. Data Storage Methods
Database programs (e.g, Microsoft Access, Oracle, SQL
Server)
Advantages: Information is stored as a complete
record. You can easily query the data and create new
variables or data subsets. In many applications, you can
create a user interface for entering the data.
Disadvantages: Requires time and technical skill to
initially design the database and to set up variables
correctly
23. Data Storage Methods
Spreadsheet programs (e.g., Microsoft Excel)
Advantages: Easy to structure spreadsheets for input.
Simple view of the data.
Disadvantages: Data types are not explicitly defined.
Data are not stored as a record. Manipulation of data
(for analyses, etc.) can be error-prone and time
consuming with no record of changes
24. Data Storage Methods
Statistical programs with database options (e.g., SPSS,
SAS)
Advantages: Data entry and analysis are completed in
the same software. Similar to database programs, you
can easily query the data and create new variables or
data subsets.
Disadvantages: Spreadsheet/database options for
statistical applications vary widely. The most powerful
tools can be very time consuming to learn and require
advanced knowledge.
25. Key Points
Remember: Each method of data collection has its use and
none is superior in all situations
Desirable: Selection of method depends on the nature of a
particular problem in consideration of time and
resources.
Required: Experience and ability of the researcher.