This document discusses various methods for collecting primary data, including observation, interviews, questionnaires, and schedules. It outlines the key aspects of primary data collection such as structured vs. unstructured approaches, participant vs. non-participant observation, and open-ended vs. closed questions. Primary data collection allows researchers to gather targeted information directly from respondents but requires more time and resources than using secondary data.
This document discusses data collection methods for research. It begins by defining data collection as systematically gathering information from various sources to understand an area of interest. Both primary and secondary data collection methods are described. Primary methods include interviews, observations, questionnaires, and case studies directly conducted by the researcher. Secondary methods refer to previously collected data from sources like published research, government reports, and media. The document stresses that accurate data collection ensures research integrity and allows problems to be solved. It concludes that quantifying and statistically analyzing data enables researchers to answer questions and validate findings.
This document discusses various methods of data collection in nursing research. It defines primary and secondary data, with nursing research relying mainly on primary data collected directly from research subjects. It emphasizes the importance of appropriate data collection methods to adequately measure study variables and draw accurate conclusions. The document then examines different tools that can be used for data collection, including interviews, questionnaires, observations, rating scales, and checklists. It provides guidance on selecting the most suitable data collection methods based on factors like the research questions, sample size, and subjects' characteristics.
This document discusses various methods for collecting data, including definitions, types, categories, and sources of data. It describes primary and secondary data and how each are collected. Common data collection methods like questionnaires, interviews, observation, and document analysis are explained along with their advantages and disadvantages. The key points are that there are various ways to collect both quantitative and qualitative data, and the optimal method depends on factors like the research question and available resources. Primary sources involve collecting original data while secondary sources use previously collected data.
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.
Methods of Data Collection presented by Dr. Basanta AdhikariDr, Basanta Adhikari
This document discusses various methods for collecting primary data, including observation, interviews, questionnaires, and schedules. It provides details on:
- Types of primary and secondary data collection
- Methods like observation, interviews, questionnaires, and schedules for collecting primary data
- Advantages and disadvantages of different data collection methods like observation, personal interviews, telephone interviews, and questionnaires
- Key aspects to consider when designing questionnaires like question wording, sequence, and structure
This document discusses different methods for collecting primary data, including observation, interviews, questionnaires, and schedules. It provides details on each method, such as advantages and limitations. Some key points covered include:
- Primary data is originally collected for the specific research purpose, while secondary data was previously collected by others.
- Observation allows collecting data without respondent bias but provides limited information. Interviews can obtain more depth but are more expensive and time-consuming.
- Questionnaires standardize responses but response rates may be low. They are cheaper than interviews and can reach more geographically dispersed respondents.
This document discusses secondary data, which is data that is obtained from published or unpublished sources rather than being originally collected. Secondary data includes sources like census data used by researchers other than the original collecting agency. Secondary data comes from published sources like government reports and unpublished sources like studies. While convenient, secondary data users must ensure the data is suitable, adequate, reliable, accurate, consistent, complete, and homogeneous for their purposes. Both primary and secondary data have advantages and limitations depending on the inquiry's nature, resources, time constraints, and accuracy needs.
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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
This document discusses data collection procedures for research. It identifies the key steps as determining what data to collect by operationalizing variables, selecting appropriate collection methods, and establishing parameters. Qualitative research often uses interviews, observations, record reviews and diaries simultaneously. Common instruments are observations, interviews, verbal reports, questionnaires and tests. Reliability and validity must be established to ensure quality and accuracy in measuring intended constructs. Researchers may use, adapt, or develop new procedures when collecting data.
This document discusses primary and secondary data collection. It defines primary data as original data collected specifically for the current study, such as through surveys, experiments, or observations. Secondary data is data previously collected by someone else for another purpose, such as published reports or census data. Both primary and secondary data have advantages and disadvantages for research. Primary data allows targeted questions but is more expensive and time-consuming to collect, while secondary data is easier to obtain but may not be specific to the current study. Qualitative and quantitative research methods are discussed for primary data collection.
This document defines key terms related to data collection and research methods. It discusses what constitutes primary and secondary data, as well as the advantages of each. Primary data is gathered directly from original sources like individuals, groups, documents, and objects, while secondary data is collected from secondary sources like published books and articles. The document also outlines different categories of data that can be collected from respondents, including facts, attitudes, judgements, and test results. Finally, it lists several research instruments and tools that can be used to gather data, such as questionnaires, interviews, observations, and mechanical devices like microscopes.
This document discusses primary and secondary data collection methods for business research. Primary data is collected directly by the researcher, while secondary data is collected by others. Some key advantages of primary data are that it is directly relevant to the research and the researcher controls quality, while secondary data advantages are lower cost and quicker collection. The document then discusses various secondary data sources and methods for collecting primary data, including observation, interviews, questionnaires, and case studies. It also covers issues like non-response and how to minimize it in primary data collection.
This document discusses various methods for collecting both primary and secondary data for research purposes. It outlines five key factors to consider before primary data collection: objectives, scope, quantitative expression, collection techniques, and unit of collection. Primary data collection methods include direct interviews, indirect oral research through enumerators, mailed questionnaires, and observation. Secondary data are pre-existing data collected by others, which can be published or unpublished sources like government reports. The document compares advantages and disadvantages of different primary and secondary data collection methods.
The document discusses different methods of collecting primary and secondary data. It describes primary data collection methods such as observation, interviews using questionnaires/schedules, and surveys. It provides details on structured vs unstructured observation, participant vs non-participant observation, and structured vs unstructured interviews. It also discusses advantages and limitations of interviews and questionnaires. Secondary data collection involves obtaining published data from various sources such as government publications, books, reports, and public records. When using secondary data, the researcher must evaluate the reliability, suitability, and adequacy of the data.
This document discusses various methods for collecting primary and secondary data. It describes observation, interviews, questionnaires, and schedules as the main methods for collecting primary data. It provides details on the types, advantages, and disadvantages of each method. It also discusses other techniques like surveys, audits, and panels. For secondary data, it notes that this involves using already available data from sources like governments, organizations, and past research. The key methods are summarized in 3 sentences or less.
Research Methodology - Methods of data collectionMANISH T I
The document discusses methods for collecting primary data, including observation, interviews, and surveys. It provides details on structured vs unstructured observation and interviews. Some key advantages of interviews are that more in-depth information can be obtained, the interviewer can overcome respondent resistance, and flexibility exists to restructure questions. However, interviews are also expensive and open to interviewer and respondent bias.
Secondary data and precautions to be taken whilepremdeshmane
Secondary data refers to data that has already been collected by others for purposes other than the current problem. It can be found in published sources like government reports, journals, and websites or unpublished sources. When using secondary data, precautions must be taken to ensure the data is suitable for the research purpose, accurately defined and measured, from a reliable source, and reflects comparable time periods and conditions. Test checking calculations and cross-checking sources is also important when relying on secondary data.
This document discusses the different types of research. It identifies six main types: applied vs basic research, descriptive vs analytical research, quantitative vs qualitative research, cross-sectional vs longitudinal research, primary vs secondary research, and conceptual vs empirical research. Additional types discussed include historical research, simulation research, exploratory research, conclusion-oriented research, and decision-oriented research. The purpose of research is to systematically search for and acquire new knowledge, whether it be discovering new facts or verifying existing theories. The type of research used depends on the goal and whether the focus is on gathering new knowledge or solving practical problems.
Primary data is collected directly by the researcher through methods like observation, interviews, questionnaires, and schedules. Observation can be structured, unstructured, participant, non-participant, controlled, or uncontrolled. Interviews can be personal, telephone-based, structured, unstructured, focused, clinical, or non-directive. Questionnaires are effective when respondents are educated and cooperative but have a low response rate. Schedules require enumerators to ask respondents questions from a form and record their answers.
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The document discusses the key differences between questionnaires and schedules as data collection instruments. It notes that schedules are administered through personal interviews by enumerators, making the process more expensive but allowing respondents to be identified and ensuring complete responses. Questionnaires are generally self-administered, making the process cheaper but resulting in higher non-response rates and incomplete information. The document also provides guidelines for developing valid and reliable questionnaires and schedules, including question structure, sequence, pre-testing and measuring various types of validity and reliability.
This document discusses various methods and considerations for collecting and analyzing data. It describes primary and secondary data sources and qualitative and quantitative methods. It also discusses different research tools like questionnaires, interviews, and mechanical devices. Guidelines are provided for developing questionnaires and conducting interviews. Different types of questions, interview formats, and potential issues are outlined. Overall, the document provides an overview of data collection methods and best practices for tools like questionnaires and interviews.
This document discusses different types of interviews used in research including structured and unstructured interviews. It describes the key characteristics of each type of interview and their advantages and disadvantages. Structured interviews involve standardized questions while unstructured interviews are more like conversations. Preparing for interviews, qualifying interviewers, constructing question types and stages of interviews are also outlined.
There are two main types of marketing research data: primary and secondary. Primary data is originally collected for the research purpose, while secondary data has already been previously collected. Primary data collection methods include observation, surveys, interviews, and experiments. Secondary data comes from published sources like government publications, international organizations, journals, books, reports, and public records. Careful construction of questionnaires is important for survey-based primary data collection.
This document discusses various methods for collecting primary data, including observation, interviews, questionnaires, and schedules. It provides details on how to conduct structured and unstructured observation, as well as disguised, undisguised, controlled, and uncontrolled observation. For interviews, it outlines personal and telephone interviews, and structured, semi-structured, and unstructured interview types. It also discusses how to construct questionnaires and the advantages and disadvantages of questionnaires and schedules. Secondary data collection and steps for data analysis like editing, coding, data entry, validation, and tabulation are also covered.
This document discusses various methods of data collection that researchers use in studies, including observation, interviews, questionnaires, and archival data. It provides details on the different types of observation (controlled, participant), interviews (structured, semi-structured, unstructured), and considerations for each method. The document also outlines questionnaires as a method and considerations like response rates. Overall, the document serves as an overview of common data collection methods, their uses, and factors to consider like reliability, validity, and biases.
This document discusses various methods for collecting data, including primary and secondary data collection. It describes primary data collection methods such as experiments, surveys, observation, and interviews. Specifically, it outlines structured and unstructured observation, as well as participant and non-participant observation. It also discusses personal interviews, questionnaires/schedules, and their advantages and disadvantages. Secondary data collection involves using existing data from government publications, organizations, and other sources. When using secondary data, the researcher must evaluate its reliability, suitability, and adequacy for the research purpose.
TOOLS AND METHODS OF DATA COLLECTION(Nursing Research & Statistics)virengeeta
This document discusses data collection methods in research. It defines key terms like data, tools, techniques, and methods of data collection. It describes different types of interviews like structured, unstructured, semi-structured, in-depth, and focused group interviews. Factors that influence the selection of data collection methods are described, such as the nature of the phenomenon under study, type of research subjects, purpose of the study, and available resources.
TOOLS AND METHODS OF DATA COLLECTION(Nursing Research & Statistics)virengeeta
This document discusses data collection methods in research. It defines key terms like data, tools, techniques, and methods of data collection. It describes different types of interviews like structured, unstructured, semi-structured, in-depth, and focused group interviews. Factors that influence the selection of data collection methods are described, such as the nature of the phenomenon under study, type of research subjects, purpose of the study, and available resources.
ReseQuantitative RESEARCH INSTRUMENT FOR DATA COLLECTIONarch ppIqra Shah
Structured questionnaires and interviews are quantitative research instruments used to collect data. Structured questionnaires contain closed-ended questions with limited response options to standardize responses. They allow researchers to collect large amounts of data efficiently but don't explore complex issues well. Structured interviews follow a standardized set of questions but allow researchers to clarify understanding and obtain more detailed responses than questionnaires. Both methods produce reliable and comparable quantitative data but have limitations regarding response bias and depth of responses.
This document discusses different methods for collecting data, both primary and secondary. It describes primary data collection methods like observation, surveys, interviews, questionnaires, and schedules. It provides details on how to conduct each method effectively and their advantages and disadvantages. Some key secondary data sources are also outlined such as internal organization records, external publications, reports and internet sources. When using secondary data, factors like reliability, suitability and adequacy must be considered. The selection of the appropriate data collection method depends on the nature, scope, budget and time constraints of the research.
This document discusses various methods for collecting primary and secondary data. It describes primary data collection methods such as observation, interviews, questionnaires, and schedules. It provides details on structured vs unstructured observation, participant vs non-participant observation, and types of interviews. It also discusses constructing questionnaires and using secondary data sources.
The document provides an overview of research methodology. It discusses key aspects of the research process including developing research questions and hypotheses, research design, data collection methods, and data analysis. Some common data collection methods described are surveys, experiments, case studies, observations, interviews, and focus groups. The document also covers qualitative and quantitative research approaches, as well as descriptive, explanatory, and exploratory research.
The document provides information about interviews as a method for collecting qualitative data in research. It discusses different types of interviews including structured, semi-structured, and unstructured interviews. Structured interviews involve asking all participants the same standardized set of closed-ended questions in a specific order. They allow for comparisons across responses but lack detail. Semi-structured interviews use an interview guide but allow flexibility in the order of questions. The document outlines advantages such as control and standardization with structured interviews but notes they lack flexibility.
The document discusses qualitative research methods, specifically interviews. It explains that qualitative research aims to understand people's experiences in natural settings through open-ended questions. Interviews are a common way to collect qualitative data and can vary from highly structured to unstructured. Structured interviews are easy to replicate but lack detail, while unstructured interviews provide more flexible, in-depth responses but are more difficult to analyze. The document also provides examples of interview strengths and limitations.
The document provides information on different types of interviews that can be used for data collection in research. It discusses structured, semi-structured, and unstructured interviews. Structured interviews involve asking all respondents the same closed-ended questions in a standardized order. Semi-structured interviews use an interview guide but allow flexibility in wording and order of questions. Unstructured interviews are open conversations that gather in-depth details on a limited number of topics. The document outlines advantages and disadvantages of each type of interview.
This document discusses various data collection tools used in research, focusing on interviews and questionnaires. It provides details on interview types (structured, unstructured, focused, etc.), the interview process, advantages and disadvantages of interviews. It also discusses questionnaire construction, types of questions that can be included, advantages and disadvantages of questionnaires, and ways of administering questionnaires.
This document discusses various data collection tools used in research, focusing on interviews and questionnaires. It provides details on interview types (structured, unstructured, focused, etc.), the interview process, advantages and disadvantages of interviews. It also discusses questionnaire construction, types of questions that can be included, advantages and disadvantages of questionnaires, and ways of administering questionnaires.
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As artificial intelligence continues to evolve, understanding the complexities and regulations regarding AI risk management is more crucial than ever.
Amongst others, the webinar covers:
• ISO/IEC 42001 standard, which provides guidelines for establishing, implementing, maintaining, and continually improving AI management systems within organizations
• insights into the European Union's landmark legislative proposal aimed at regulating AI
• framework and methodologies prescribed by ISO/IEC 23894 for identifying, assessing, and mitigating risks associated with AI systems
Presenters:
Miriama Podskubova - Attorney at Law
Miriama is a seasoned lawyer with over a decade of experience. She specializes in commercial law, focusing on transactions, venture capital investments, IT, digital law, and cybersecurity, areas she was drawn to through her legal practice. Alongside preparing contract and project documentation, she ensures the correct interpretation and application of European legal regulations in these fields. Beyond client projects, she frequently speaks at conferences on cybersecurity, online privacy protection, and the increasingly pertinent topic of AI regulation. As a registered advocate of Slovak bar, certified data privacy professional in the European Union (CIPP/e) and a member of the international association ELA, she helps both tech-focused startups and entrepreneurs, as well as international chains, to properly set up their business operations.
Callum Wright - Founder and Lead Consultant Founder and Lead Consultant
Callum Wright is a seasoned cybersecurity, privacy and AI governance expert. With over a decade of experience, he has dedicated his career to protecting digital assets, ensuring data privacy, and establishing ethical AI governance frameworks. His diverse background includes significant roles in security architecture, AI governance, risk consulting, and privacy management across various industries, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: June 26, 2024
Tags: ISO/IEC 42001, Artificial Intelligence, EU AI Act, ISO/IEC 23894
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2. DATA COLLECTION
Data – quantitative value of variable (e.g. numbers, words, figures
etc.)
Lowest unit of information – for other measurements and analysis.
Most important for quantitative research.
3. Pre requisites to data collection
Research objective
Source of information
Quantitative expressions
Techniques of data collection
Unit of data collection
5. Primary data
First hand data
Reliable, authentic, not been published any where
Validity higher than secondary data- not changed by the individual
research
6. Merits of primary data
Targeted issue is addressed
Data interpretation is better
Higher accuracy of data
Greater control
7. Demerits of primary data
Time
Cost
Number of resources required
Inaccurate feedback
Lot of skills and efforts
9. By observation
Collection of information by way of investigator's own observation,
Without interviewing the respondents.
The information relates to current happening
Not complicated by either the past behavior or future intentions or
attitudes of respondents.
An expensive method
Information provided is very limited.
Not suitable in inquiries where large samples are concerned.
10. Structured and unstructured observation
When the observation is done by careful
definition of the units to be observed, the style of
recording the observed information, standardized
conditions of observation and the selection of
pertinent data of observation, -structured
observation- Useful for descriptive research
When observation is to take place without these
characteristics to be thought of in advance, the
same is termed as unstructured observation-
Useful for exploratory research.
11. Participant & non participant observation
If the observer observes by making himself,
more or less, a member of the group he is
observing so that he can experience what the
members of the group experience -
participant observation
When the observer observes as a detached
representative without any attempt on his
part to experience through participation what
others feel; presence may be unknown to the
people he is observing- non-participant
observation.
12. Controlled and uncontrolled observation
If the observation takes place in the
natural setting- uncontrolled
observation,
When observation takes place
according to definite pre-arranged
plans, involving experimental
procedure- controlled observation.
13. Personal interview
The investigator follows a rigid procedure and seeks answers to a
set of pre-conceived questions through personal interviews.
Usually carried out in a structured way where output depends upon
the ability of the interviewer to a large extent.
14. Direct investigation & Indirect Investigation
Direct personal investigation-
The interviewer has to collect the information
personally from the sources concerned - be on the
spot and has to meet people from whom data have
to be collected- suitable for intensive investigations.
Indirect oral examination-
Interviewer has to cross-examine other persons/
third person – witness, who are supposed to have
knowledge about the problem under investigation
and the information, obtained is recorded.
15. Types of interview
Structured interviews- use of a set of predetermined questions and of highly
standardized techniques of recording.
Unstructured Interviews – flexibility of approach to questioning.
Focused interview –to focus attention on the given experience of the respondent and its
effects – attitudes and response to a situation in small group.
Clinical interview – to diagnose and plan the treatment -broad underlying feelings or
motivations or with the course of individual’s life experience
Non directive interview -encourage the respondent to talk about the given topic with a
bare minimum of direct questioning
16. Advantages of interview method
More information - in greater depth
Interviewer by his own skill can overcome the resistance
Yield an almost perfect sample of the general population.
Greater flexibility and effective observation and group discussions.
Information for Personal, characteristics and environment collection easily .
Samples can be controlled more effectively
Non-response generally remains very low.
secure the most spontaneous reactions
Interviewer can usually control which person(s) will answer the questions.
Misinterpretations concerning questions can be avoided.
17. Disadvantages of Interview
Expensive method
Possibility of the bias of interviewer as well as that of the respondent;
Data inadequacy- respondents such as important officials or executives or
people in high income groups may not be easily approachable.
Time-consuming
Over-stimulate the respondent to give imaginary information.
Selecting, training and supervising the field-staff is more complex with
formidable problems.
Presupposes proper rapport with respondents
18. Telephonic interviews
Contacting respondents on telephone itself.
Flexible, faster & cheaper
Recall is easy; callbacks are simple and economical.
The non-response is generally very low.
Replies can be recorded.
Interviewer can explain requirements more easily.
Access can be gained to respondents
No field staff is required.
Representative and wider distribution of sample is
possible
19. Demerits of telephonic interview
Little time- interview period is not likely to exceed five minutes in most
cases.
Surveys are restricted to respondents who have telephone facilities.
Extensive geographical coverage may get restricted by cost
considerations.
not suitable for intensive surveys where comprehensive answers are
required to various questions.
Possibility of the bias of the interviewer is relatively more.
Questions have to be short and to the point; probes are difficult to handle
21. Merits of questionnaire methods
Low cost even when the universe is large and is widely spread
geographically.
It is free from the bias of the interviewer; answers are in
respondents’ own words.
Respondents have adequate time to give well thought out answers.
Respondents, who are not easily approachable, can also be reached
conveniently.
Large samples can be made use of and thus the results can be made
more dependable and reliable
22. Demerits of questionnaire method
Low rate of return of the duly filled in questionnaires;
Bias due to no-response is often indeterminate.
Used only when respondents are educated and cooperating.
Control over questionnaire may be lost once it is sent.
Inbuilt inflexibility because of the difficulty of amending the approach once
questionnaires have been dispatched.
Possibility of ambiguous replies or omission of replies altogether to certain questions;
Interpretation of omissions is difficult.
Difficult to know whether willing respondents are truly representative.
23. Key aspects of questionnaire
General form: it can either be structured or unstructured questionnaire. Structured
Question sequence:
Effective and to ensure quality to the replies received,
A proper sequence – less misunderstanding.
Must be clear and smoothly-moving,
Relation of one question to another should be readily apparent to the respondent,
Questions that are easiest to answer being put in the beginning.
24. Contd…
Question formulation and wording
Be easily understood
Be simple - Should convey only one thought at a time
Be concrete and should conform as much as possible to the
respondent’s way of thinking
Be impartial
Constructed with a view to their forming a logical part of a well
thought out tabulation plan.
25. Questions?
Multiple choice question / closed questions
Have the advantages of easy handling, simple to answer, quick and
relatively inexpensive to analyze.
Open-end question-
Designed to permit a free response from the respondent- give the
respondent considerable latitude in phrasing a reply
26. Effective questionnaire
Short and simple
Logical sequence moving from easy to more difficult questions.
Personal and intimate questions should be left to the end.
Technical terms and vague expressions capable of different interpretations should be avoided in a questionnaire.
Questions may be dichotomous (yes or no answers), multiple choice (alternative answers listed) or open-ended.
Open ended avoided in a questionnaire – difficult to analyze
Some control questions in the questionnaire which indicate the reliability of the respondent.
Questions affecting the sentiments of respondents should be avoided.
Adequate space for answers should be provided in the questionnaire to help editing and tabulation.
Provision for indications of uncertainty, e.G., “Do not know,” “no preference” and so on.
Brief directions with regard to filling up the questionnaire..
Physical appearance of the questionnaire affects the cooperation the researcher receives from the
27. THROUGH SCHEDULES
Enumerator specially appointed to fill the schedules
Very much like the collection of data through questionnaire, with
Filled in by the enumerators who are specially appointed for the
purpose.
These enumerators along with schedules, go to respondents, put to
them the questions from the proforma in the order the questions are
listed and
Record the replies in the space meant for the same in the proforma.
29. Secondary data
Data that was collected by someone other than the user
Include censuses, information collected by government
departments, organizational records and data that was originally
collected for other research purposes