(Go: >> BACK << -|- >> HOME <<)

SlideShare a Scribd company logo
Data collection
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.
Pre requisites to data collection
 Research objective
 Source of information
 Quantitative expressions
 Techniques of data collection
 Unit of data collection
Sources of data
Sources
of data
External
Primary Secondary
Internal
Primary data
 First hand data
 Reliable, authentic, not been published any where
 Validity higher than secondary data- not changed by the individual
research
Merits of primary data
 Targeted issue is addressed
 Data interpretation is better
 Higher accuracy of data
 Greater control
Demerits of primary data
 Time
 Cost
 Number of resources required
 Inaccurate feedback
 Lot of skills and efforts
Primary data collection methods
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.
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.
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.
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.
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.
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.
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
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.
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
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
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
Questionnaire method
A questionnaire consists of a number of questions printed or typed in a
definite order on a form or set of forms.
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
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.
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.
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.
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
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
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.
Difference- questionnaire and schedules
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
Data collection
Data collection
Data collection

More Related Content

What's hot

Data Collection
Data CollectionData Collection
Data Collection
deepika sorout
 
Data collection tools and techniques
Data collection tools and techniquesData collection tools and techniques
Data collection tools and techniques
AmandeepKaur571345
 
data collection
data collection data collection
data collection
KingMajanga
 
Data collection presentation
Data collection presentationData collection presentation
Data collection presentation
Kanchan Agarwal
 
Methods of Data Collection presented by Dr. Basanta Adhikari
Methods of Data Collection presented by Dr. Basanta AdhikariMethods of Data Collection presented by Dr. Basanta Adhikari
Methods of Data Collection presented by Dr. Basanta Adhikari
Dr, Basanta Adhikari
 
Data collection techniques
Data collection techniquesData collection techniques
Data collection techniques
Jags Jagdish
 
Secondary data
Secondary dataSecondary data
Secondary data
Bharathiar university
 
Data Collection (Methods/ Tools/ Techniques), Primary & Secondary Data, Quali...
Data Collection (Methods/ Tools/ Techniques), Primary & Secondary Data, Quali...Data Collection (Methods/ Tools/ Techniques), Primary & Secondary Data, Quali...
Data Collection (Methods/ Tools/ Techniques), Primary & Secondary Data, Quali...
Bikash Sapkota
 
Data Collection Method ppt
Data Collection Method pptData Collection Method ppt
Data Collection Method ppt
Maaz ul haq
 
Data and data collection procedures
Data and data collection proceduresData and data collection procedures
Data and data collection procedures
Alexis Viera
 
PRIMARY & SECONDARY DATA COLLECTION
PRIMARY & SECONDARY DATA  COLLECTION PRIMARY & SECONDARY DATA  COLLECTION
PRIMARY & SECONDARY DATA COLLECTION
Suneal Saini
 
Collection of data
Collection of dataCollection of data
Collection of data
Mich Baltazar
 
Method of data collection
Method of data collectionMethod of data collection
Method of data collection
Balaji P
 
Business research data collection
Business research data collectionBusiness research data collection
Business research data collection
Nishant Pahad
 
Method of Data Collection
Method of Data CollectionMethod of Data Collection
Method of Data Collection
Utkarsh Amaravat
 
Rm 5 Methods Of Data Collection
Rm   5   Methods Of Data CollectionRm   5   Methods Of Data Collection
Rm 5 Methods Of Data Collection
itsvineeth209
 
Methods of data collection
Methods of data collectionMethods of data collection
Methods of data collection
Jithin Thomas
 
Research Methodology - Methods of data collection
 Research Methodology - Methods of data collection Research Methodology - Methods of data collection
Research Methodology - Methods of data collection
MANISH T I
 
Secondary data and precautions to be taken while
Secondary data and precautions to be taken whileSecondary data and precautions to be taken while
Secondary data and precautions to be taken while
premdeshmane
 
Types of research
Types of researchTypes of research
Types of research
ManojSharma968
 

What's hot (20)

Data Collection
Data CollectionData Collection
Data Collection
 
Data collection tools and techniques
Data collection tools and techniquesData collection tools and techniques
Data collection tools and techniques
 
data collection
data collection data collection
data collection
 
Data collection presentation
Data collection presentationData collection presentation
Data collection presentation
 
Methods of Data Collection presented by Dr. Basanta Adhikari
Methods of Data Collection presented by Dr. Basanta AdhikariMethods of Data Collection presented by Dr. Basanta Adhikari
Methods of Data Collection presented by Dr. Basanta Adhikari
 
Data collection techniques
Data collection techniquesData collection techniques
Data collection techniques
 
Secondary data
Secondary dataSecondary data
Secondary data
 
Data Collection (Methods/ Tools/ Techniques), Primary & Secondary Data, Quali...
Data Collection (Methods/ Tools/ Techniques), Primary & Secondary Data, Quali...Data Collection (Methods/ Tools/ Techniques), Primary & Secondary Data, Quali...
Data Collection (Methods/ Tools/ Techniques), Primary & Secondary Data, Quali...
 
Data Collection Method ppt
Data Collection Method pptData Collection Method ppt
Data Collection Method ppt
 
Data and data collection procedures
Data and data collection proceduresData and data collection procedures
Data and data collection procedures
 
PRIMARY & SECONDARY DATA COLLECTION
PRIMARY & SECONDARY DATA  COLLECTION PRIMARY & SECONDARY DATA  COLLECTION
PRIMARY & SECONDARY DATA COLLECTION
 
Collection of data
Collection of dataCollection of data
Collection of data
 
Method of data collection
Method of data collectionMethod of data collection
Method of data collection
 
Business research data collection
Business research data collectionBusiness research data collection
Business research data collection
 
Method of Data Collection
Method of Data CollectionMethod of Data Collection
Method of Data Collection
 
Rm 5 Methods Of Data Collection
Rm   5   Methods Of Data CollectionRm   5   Methods Of Data Collection
Rm 5 Methods Of Data Collection
 
Methods of data collection
Methods of data collectionMethods of data collection
Methods of data collection
 
Research Methodology - Methods of data collection
 Research Methodology - Methods of data collection Research Methodology - Methods of data collection
Research Methodology - Methods of data collection
 
Secondary data and precautions to be taken while
Secondary data and precautions to be taken whileSecondary data and precautions to be taken while
Secondary data and precautions to be taken while
 
Types of research
Types of researchTypes of research
Types of research
 

Similar to Data collection

Sources of primary data
Sources of primary dataSources of primary data
Sources of primary data
Reshmitha Suresh
 
Schedule and Questionnaire Difference between Schedule and Questionnaire Tech...
Schedule and QuestionnaireDifference between Schedule and QuestionnaireTech...Schedule and QuestionnaireDifference between Schedule and QuestionnaireTech...
Schedule and Questionnaire Difference between Schedule and Questionnaire Tech...
sanjay s.kumar
 
Collection of Data
Collection of DataCollection of Data
Collection of Data
Roqui Malijan
 
Data Collection biostats BJ revised 2021.ppt
Data Collection biostats BJ revised 2021.pptData Collection biostats BJ revised 2021.ppt
Data Collection biostats BJ revised 2021.ppt
prisy544
 
Interview
InterviewInterview
Interview
farhana khaliq
 
Data Collection
Data CollectionData Collection
Data Collection
Jay Pardasani
 
Sources & methods of data collection
Sources & methods of data collectionSources & methods of data collection
Sources & methods of data collection
pss_prashant
 
Methods of Data Collection.pptx
Methods of Data Collection.pptxMethods of Data Collection.pptx
Methods of Data Collection.pptx
ShwetankYadav11
 
ITFT Data collection
ITFT Data  collectionITFT Data  collection
ITFT Data collection
sl22
 
TOOLS AND METHODS OF DATA COLLECTION (Nursing Research & Statistics)
TOOLS AND METHODS OF DATA COLLECTION(Nursing Research & Statistics)TOOLS AND METHODS OF DATA COLLECTION(Nursing Research & Statistics)
TOOLS AND METHODS OF DATA COLLECTION (Nursing Research & Statistics)
virengeeta
 
TOOLS AND METHODS OF DATA COLLECTION (Nursing Research & Statistics)
TOOLS AND METHODS OF DATA COLLECTION(Nursing Research & Statistics)TOOLS AND METHODS OF DATA COLLECTION(Nursing Research & Statistics)
TOOLS AND METHODS OF DATA COLLECTION (Nursing Research & Statistics)
virengeeta
 
ReseQuantitative RESEARCH INSTRUMENT FOR DATA COLLECTIONarch pp
ReseQuantitative RESEARCH INSTRUMENT FOR DATA COLLECTIONarch ppReseQuantitative RESEARCH INSTRUMENT FOR DATA COLLECTIONarch pp
ReseQuantitative RESEARCH INSTRUMENT FOR DATA COLLECTIONarch pp
Iqra Shah
 
ppt mgt.pptx
ppt mgt.pptxppt mgt.pptx
ppt mgt.pptx
HanaKassahun1
 
L 13 (17-05-21) data collection methodology
L 13 (17-05-21) data collection methodologyL 13 (17-05-21) data collection methodology
L 13 (17-05-21) data collection methodology
Budge Budge Institute of Technology Kolkata
 
Research in subject
Research in subjectResearch in subject
Research in subject
Abu Bashar
 
Inteview By Zewde Alemayehu Tilahun.pptx
Inteview By Zewde Alemayehu Tilahun.pptxInteview By Zewde Alemayehu Tilahun.pptx
Inteview By Zewde Alemayehu Tilahun.pptx
zewde alemayehu
 
research methods
research methodsresearch methods
research methods
ellithy98
 
Inteview by zewde alemayehu tilahun
Inteview by zewde alemayehu tilahunInteview by zewde alemayehu tilahun
Inteview by zewde alemayehu tilahun
zewde alemayehu
 
Interview and questionire
Interview and questionireInterview and questionire
Interview and questionire
Xhahbaz Vehari Waly
 
Interview and questionire
Interview and questionireInterview and questionire
Interview and questionire
Xhahbaz Vehari Waly
 

Similar to Data collection (20)

Sources of primary data
Sources of primary dataSources of primary data
Sources of primary data
 
Schedule and Questionnaire Difference between Schedule and Questionnaire Tech...
Schedule and QuestionnaireDifference between Schedule and QuestionnaireTech...Schedule and QuestionnaireDifference between Schedule and QuestionnaireTech...
Schedule and Questionnaire Difference between Schedule and Questionnaire Tech...
 
Collection of Data
Collection of DataCollection of Data
Collection of Data
 
Data Collection biostats BJ revised 2021.ppt
Data Collection biostats BJ revised 2021.pptData Collection biostats BJ revised 2021.ppt
Data Collection biostats BJ revised 2021.ppt
 
Interview
InterviewInterview
Interview
 
Data Collection
Data CollectionData Collection
Data Collection
 
Sources & methods of data collection
Sources & methods of data collectionSources & methods of data collection
Sources & methods of data collection
 
Methods of Data Collection.pptx
Methods of Data Collection.pptxMethods of Data Collection.pptx
Methods of Data Collection.pptx
 
ITFT Data collection
ITFT Data  collectionITFT Data  collection
ITFT Data collection
 
TOOLS AND METHODS OF DATA COLLECTION (Nursing Research & Statistics)
TOOLS AND METHODS OF DATA COLLECTION(Nursing Research & Statistics)TOOLS AND METHODS OF DATA COLLECTION(Nursing Research & Statistics)
TOOLS AND METHODS OF DATA COLLECTION (Nursing Research & Statistics)
 
TOOLS AND METHODS OF DATA COLLECTION (Nursing Research & Statistics)
TOOLS AND METHODS OF DATA COLLECTION(Nursing Research & Statistics)TOOLS AND METHODS OF DATA COLLECTION(Nursing Research & Statistics)
TOOLS AND METHODS OF DATA COLLECTION (Nursing Research & Statistics)
 
ReseQuantitative RESEARCH INSTRUMENT FOR DATA COLLECTIONarch pp
ReseQuantitative RESEARCH INSTRUMENT FOR DATA COLLECTIONarch ppReseQuantitative RESEARCH INSTRUMENT FOR DATA COLLECTIONarch pp
ReseQuantitative RESEARCH INSTRUMENT FOR DATA COLLECTIONarch pp
 
ppt mgt.pptx
ppt mgt.pptxppt mgt.pptx
ppt mgt.pptx
 
L 13 (17-05-21) data collection methodology
L 13 (17-05-21) data collection methodologyL 13 (17-05-21) data collection methodology
L 13 (17-05-21) data collection methodology
 
Research in subject
Research in subjectResearch in subject
Research in subject
 
Inteview By Zewde Alemayehu Tilahun.pptx
Inteview By Zewde Alemayehu Tilahun.pptxInteview By Zewde Alemayehu Tilahun.pptx
Inteview By Zewde Alemayehu Tilahun.pptx
 
research methods
research methodsresearch methods
research methods
 
Inteview by zewde alemayehu tilahun
Inteview by zewde alemayehu tilahunInteview by zewde alemayehu tilahun
Inteview by zewde alemayehu tilahun
 
Interview and questionire
Interview and questionireInterview and questionire
Interview and questionire
 
Interview and questionire
Interview and questionireInterview and questionire
Interview and questionire
 

More from Dr. Anugamini Priya

Introduction to Industrial Relations
Introduction to Industrial RelationsIntroduction to Industrial Relations
Introduction to Industrial Relations
Dr. Anugamini Priya
 
Questionnaire development
Questionnaire developmentQuestionnaire development
Questionnaire development
Dr. Anugamini Priya
 
Statistical analysis in SPSS_
Statistical analysis in SPSS_ Statistical analysis in SPSS_
Statistical analysis in SPSS_
Dr. Anugamini Priya
 
Types of Business organisation
Types of Business organisationTypes of Business organisation
Types of Business organisation
Dr. Anugamini Priya
 
Organisational culture and change management
Organisational culture and change managementOrganisational culture and change management
Organisational culture and change management
Dr. Anugamini Priya
 
EXTRA ROLE BEHAVIOR
EXTRA ROLE BEHAVIOREXTRA ROLE BEHAVIOR
EXTRA ROLE BEHAVIOR
Dr. Anugamini Priya
 
Japan culture business environment
Japan culture  business environmentJapan culture  business environment
Japan culture business environment
Dr. Anugamini Priya
 
MOA AND AOA
MOA AND AOAMOA AND AOA
MOA AND AOA
Dr. Anugamini Priya
 
Organizational justice
Organizational justiceOrganizational justice
Organizational justice
Dr. Anugamini Priya
 
need for teachers - learning attitude and internal motivation
need for teachers - learning attitude and internal motivationneed for teachers - learning attitude and internal motivation
need for teachers - learning attitude and internal motivation
Dr. Anugamini Priya
 
Arcs strategies
Arcs strategiesArcs strategies
Arcs strategies
Dr. Anugamini Priya
 

More from Dr. Anugamini Priya (11)

Introduction to Industrial Relations
Introduction to Industrial RelationsIntroduction to Industrial Relations
Introduction to Industrial Relations
 
Questionnaire development
Questionnaire developmentQuestionnaire development
Questionnaire development
 
Statistical analysis in SPSS_
Statistical analysis in SPSS_ Statistical analysis in SPSS_
Statistical analysis in SPSS_
 
Types of Business organisation
Types of Business organisationTypes of Business organisation
Types of Business organisation
 
Organisational culture and change management
Organisational culture and change managementOrganisational culture and change management
Organisational culture and change management
 
EXTRA ROLE BEHAVIOR
EXTRA ROLE BEHAVIOREXTRA ROLE BEHAVIOR
EXTRA ROLE BEHAVIOR
 
Japan culture business environment
Japan culture  business environmentJapan culture  business environment
Japan culture business environment
 
MOA AND AOA
MOA AND AOAMOA AND AOA
MOA AND AOA
 
Organizational justice
Organizational justiceOrganizational justice
Organizational justice
 
need for teachers - learning attitude and internal motivation
need for teachers - learning attitude and internal motivationneed for teachers - learning attitude and internal motivation
need for teachers - learning attitude and internal motivation
 
Arcs strategies
Arcs strategiesArcs strategies
Arcs strategies
 

Recently uploaded

chemistry project on foaming capacity of soap class 11
chemistry project on foaming capacity of soap class 11chemistry project on foaming capacity of soap class 11
chemistry project on foaming capacity of soap class 11
equaltogreenxyz
 
NLC English 7 Consolidation Lesson plan for teacher
NLC English 7 Consolidation Lesson plan for teacherNLC English 7 Consolidation Lesson plan for teacher
NLC English 7 Consolidation Lesson plan for teacher
AngelicaLubrica
 
Webinar Innovative assessments for SOcial Emotional Skills
Webinar Innovative assessments for SOcial Emotional SkillsWebinar Innovative assessments for SOcial Emotional Skills
Webinar Innovative assessments for SOcial Emotional Skills
EduSkills OECD
 
The membership Module in the Odoo 17 ERP
The membership Module in the Odoo 17 ERPThe membership Module in the Odoo 17 ERP
The membership Module in the Odoo 17 ERP
Celine George
 
Beginner's Guide to Bypassing Falco Container Runtime Security in Kubernetes ...
Beginner's Guide to Bypassing Falco Container Runtime Security in Kubernetes ...Beginner's Guide to Bypassing Falco Container Runtime Security in Kubernetes ...
Beginner's Guide to Bypassing Falco Container Runtime Security in Kubernetes ...
anjaliinfosec
 
Capitol Doctoral Presentation -June 2024v2.pptx
Capitol Doctoral Presentation -June 2024v2.pptxCapitol Doctoral Presentation -June 2024v2.pptx
Capitol Doctoral Presentation -June 2024v2.pptx
CapitolTechU
 
The basics of sentences session 9pptx.pptx
The basics of sentences session 9pptx.pptxThe basics of sentences session 9pptx.pptx
The basics of sentences session 9pptx.pptx
heathfieldcps1
 
How to Store Data on the Odoo 17 Website
How to Store Data on the Odoo 17 WebsiteHow to Store Data on the Odoo 17 Website
How to Store Data on the Odoo 17 Website
Celine George
 
ENGLISH-7-CURRICULUM MAP- MATATAG CURRICULUM
ENGLISH-7-CURRICULUM MAP- MATATAG CURRICULUMENGLISH-7-CURRICULUM MAP- MATATAG CURRICULUM
ENGLISH-7-CURRICULUM MAP- MATATAG CURRICULUM
HappieMontevirgenCas
 
Principles of Roods Approach!!!!!!!.pptx
Principles of Roods Approach!!!!!!!.pptxPrinciples of Roods Approach!!!!!!!.pptx
Principles of Roods Approach!!!!!!!.pptx
ibtesaam huma
 
AI Risk Management: ISO/IEC 42001, the EU AI Act, and ISO/IEC 23894
AI Risk Management: ISO/IEC 42001, the EU AI Act, and ISO/IEC 23894AI Risk Management: ISO/IEC 42001, the EU AI Act, and ISO/IEC 23894
AI Risk Management: ISO/IEC 42001, the EU AI Act, and ISO/IEC 23894
PECB
 
Conducting exciting academic research in Computer Science
Conducting exciting academic research in Computer ScienceConducting exciting academic research in Computer Science
Conducting exciting academic research in Computer Science
Abhik Roychoudhury
 
Front Desk Management in the Odoo 17 ERP
Front Desk  Management in the Odoo 17 ERPFront Desk  Management in the Odoo 17 ERP
Front Desk Management in the Odoo 17 ERP
Celine George
 
Tales of Two States: A Comparative Study of Language and Literature in Kerala...
Tales of Two States: A Comparative Study of Language and Literature in Kerala...Tales of Two States: A Comparative Study of Language and Literature in Kerala...
Tales of Two States: A Comparative Study of Language and Literature in Kerala...
joshanmath
 
No, it's not a robot: prompt writing for investigative journalism
No, it's not a robot: prompt writing for investigative journalismNo, it's not a robot: prompt writing for investigative journalism
No, it's not a robot: prompt writing for investigative journalism
Paul Bradshaw
 
SYBCOM SEM III UNIT 1 INTRODUCTION TO ADVERTISING
SYBCOM SEM III UNIT 1 INTRODUCTION TO ADVERTISINGSYBCOM SEM III UNIT 1 INTRODUCTION TO ADVERTISING
SYBCOM SEM III UNIT 1 INTRODUCTION TO ADVERTISING
Dr Vijay Vishwakarma
 
How to Configure Time Off Types in Odoo 17
How to Configure Time Off Types in Odoo 17How to Configure Time Off Types in Odoo 17
How to Configure Time Off Types in Odoo 17
Celine George
 
AI_in_HR_Presentation Part 1 2024 0703.pdf
AI_in_HR_Presentation Part 1 2024 0703.pdfAI_in_HR_Presentation Part 1 2024 0703.pdf
AI_in_HR_Presentation Part 1 2024 0703.pdf
SrimanigandanMadurai
 
2024 KWL Back 2 School Summer Conference
2024 KWL Back 2 School Summer Conference2024 KWL Back 2 School Summer Conference
2024 KWL Back 2 School Summer Conference
KlettWorldLanguages
 

Recently uploaded (20)

chemistry project on foaming capacity of soap class 11
chemistry project on foaming capacity of soap class 11chemistry project on foaming capacity of soap class 11
chemistry project on foaming capacity of soap class 11
 
NLC English 7 Consolidation Lesson plan for teacher
NLC English 7 Consolidation Lesson plan for teacherNLC English 7 Consolidation Lesson plan for teacher
NLC English 7 Consolidation Lesson plan for teacher
 
Webinar Innovative assessments for SOcial Emotional Skills
Webinar Innovative assessments for SOcial Emotional SkillsWebinar Innovative assessments for SOcial Emotional Skills
Webinar Innovative assessments for SOcial Emotional Skills
 
The membership Module in the Odoo 17 ERP
The membership Module in the Odoo 17 ERPThe membership Module in the Odoo 17 ERP
The membership Module in the Odoo 17 ERP
 
Beginner's Guide to Bypassing Falco Container Runtime Security in Kubernetes ...
Beginner's Guide to Bypassing Falco Container Runtime Security in Kubernetes ...Beginner's Guide to Bypassing Falco Container Runtime Security in Kubernetes ...
Beginner's Guide to Bypassing Falco Container Runtime Security in Kubernetes ...
 
Capitol Doctoral Presentation -June 2024v2.pptx
Capitol Doctoral Presentation -June 2024v2.pptxCapitol Doctoral Presentation -June 2024v2.pptx
Capitol Doctoral Presentation -June 2024v2.pptx
 
“A NOSSA CA(U)SA”. .
“A NOSSA CA(U)SA”.                      .“A NOSSA CA(U)SA”.                      .
“A NOSSA CA(U)SA”. .
 
The basics of sentences session 9pptx.pptx
The basics of sentences session 9pptx.pptxThe basics of sentences session 9pptx.pptx
The basics of sentences session 9pptx.pptx
 
How to Store Data on the Odoo 17 Website
How to Store Data on the Odoo 17 WebsiteHow to Store Data on the Odoo 17 Website
How to Store Data on the Odoo 17 Website
 
ENGLISH-7-CURRICULUM MAP- MATATAG CURRICULUM
ENGLISH-7-CURRICULUM MAP- MATATAG CURRICULUMENGLISH-7-CURRICULUM MAP- MATATAG CURRICULUM
ENGLISH-7-CURRICULUM MAP- MATATAG CURRICULUM
 
Principles of Roods Approach!!!!!!!.pptx
Principles of Roods Approach!!!!!!!.pptxPrinciples of Roods Approach!!!!!!!.pptx
Principles of Roods Approach!!!!!!!.pptx
 
AI Risk Management: ISO/IEC 42001, the EU AI Act, and ISO/IEC 23894
AI Risk Management: ISO/IEC 42001, the EU AI Act, and ISO/IEC 23894AI Risk Management: ISO/IEC 42001, the EU AI Act, and ISO/IEC 23894
AI Risk Management: ISO/IEC 42001, the EU AI Act, and ISO/IEC 23894
 
Conducting exciting academic research in Computer Science
Conducting exciting academic research in Computer ScienceConducting exciting academic research in Computer Science
Conducting exciting academic research in Computer Science
 
Front Desk Management in the Odoo 17 ERP
Front Desk  Management in the Odoo 17 ERPFront Desk  Management in the Odoo 17 ERP
Front Desk Management in the Odoo 17 ERP
 
Tales of Two States: A Comparative Study of Language and Literature in Kerala...
Tales of Two States: A Comparative Study of Language and Literature in Kerala...Tales of Two States: A Comparative Study of Language and Literature in Kerala...
Tales of Two States: A Comparative Study of Language and Literature in Kerala...
 
No, it's not a robot: prompt writing for investigative journalism
No, it's not a robot: prompt writing for investigative journalismNo, it's not a robot: prompt writing for investigative journalism
No, it's not a robot: prompt writing for investigative journalism
 
SYBCOM SEM III UNIT 1 INTRODUCTION TO ADVERTISING
SYBCOM SEM III UNIT 1 INTRODUCTION TO ADVERTISINGSYBCOM SEM III UNIT 1 INTRODUCTION TO ADVERTISING
SYBCOM SEM III UNIT 1 INTRODUCTION TO ADVERTISING
 
How to Configure Time Off Types in Odoo 17
How to Configure Time Off Types in Odoo 17How to Configure Time Off Types in Odoo 17
How to Configure Time Off Types in Odoo 17
 
AI_in_HR_Presentation Part 1 2024 0703.pdf
AI_in_HR_Presentation Part 1 2024 0703.pdfAI_in_HR_Presentation Part 1 2024 0703.pdf
AI_in_HR_Presentation Part 1 2024 0703.pdf
 
2024 KWL Back 2 School Summer Conference
2024 KWL Back 2 School Summer Conference2024 KWL Back 2 School Summer Conference
2024 KWL Back 2 School Summer Conference
 

Data collection

  • 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
  • 4. Sources of data Sources of data External Primary Secondary Internal
  • 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
  • 20. Questionnaire method A questionnaire consists of a number of questions printed or typed in a definite order on a form or set of forms.
  • 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