research methods and data collection trilochan pokharel, [email protected]

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RESEARCH METHODS AND DATA COLLECTION Trilochan Pokharel, [email protected]

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Page 1: RESEARCH METHODS AND DATA COLLECTION Trilochan Pokharel, tpokharel@nasc.org.np

RESEARCH METHODS AND DATA COLLECTION

Trilochan Pokharel, [email protected]

Page 2: RESEARCH METHODS AND DATA COLLECTION Trilochan Pokharel, tpokharel@nasc.org.np

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Objectives

Explain applied research design Explain sources and techniques of data

collection Analyze and interpret data and

Information Apply research skills in field visit study

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Contents

Fundamentals of research methods Data collection and analysis techniques Data interpretation and presentation

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Some questions

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How can governance be improved from the use of technology?

What are the public perceptions about recent policy on traffic management implemented by the GoN?

How can government manage solid waste of Kathmandu valley?

In a village, government has launched poverty alleviation programme. After completion of programmes, government is interested to know the improvements in the living standard of people.

What is the impact of improved agricultural technology on livelihoods of rural farmers?

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Discuss and decide on an area you would like to study

Time: 10 Mins

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Re + search...

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Person

Observes

Again and again

Phenomena

Collection of data

Analysis of data

Conclusion

Singh, YK. (2006). Fundamentals of Research Methodology and Statistics. New Delhi: New Age International.

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Research Process Outline

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Problem Definition

Research Design

Data Collection

Data Analysis

Report Writing and Dissemination

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Research Methodology

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Scientific collective process of: Identifying problem Operational design Collecting and analyzing evidence Drawing conclusion

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Research Problem

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Certainty- reconfirming the fact reflected elsewhere

Uncertainty- no specific knowledge about the phenomenon available

Ambiguity- available knowledge confusing

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Research problem? Open senses!!

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Identifying of Research Problem

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SEARCH Approach

S= See around (literature, experience, experts’ opinion, observation)

E= Explore A= Analyze R= Review Ch= Choose

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Identifying research problem: funnel structure

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Observe and collect

Review and scrutinize

Narrow down

Specific

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Some examples...

What are the factors for effective service delivery in office X?

Are the staff of office X motivated for providing effective public service?

What is the response of service receivers about service provided by X Hospital in Kathmandu?

What are the responses of NASC staff and MoGA staff about the digital attendance?

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Propose a research question that you want to investigate

Time: 5 Mins

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Design a title of your research

Time: 5 Mins

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Example...

Service Receiver's Perception on Service

Delivery of X Hospital in Kathmandu

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Operational Design

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a. Statement of objectivesb. Research design

Quantitative vs. Qualitative vs. Participatory vs. mixed method

Descriptive vs. exploratory vs. experimental vs. mixed method

Inductive vs. deductive vs. mixed method Longitudinal vs. cross-sectional

c. Measurement – type of data d. Sampling

Sample size Probability vs. non-probability

e. Reliability and validity

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Objective...

To know the perception of service receivers on the service provided by X hospital in Kathmandu

You can classify the services that you want to study. For example, health professional behaviour, admin staff behaviour, lab services, pharmacy services etc, for making your objectives more specific.

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Research design…

Quantitative: sample size determination, quantitative summary

Qualitative: patient's detail perception towards services

Participatory: group discussion comprising clients and hospital staff and observation of hospital activities

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Research design…

Descriptive: observed situation (what) Exploratory: clients perceptions and

hospital activities (why)

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Sampling…

Sample size: X patients who received hospital services during two days

Probability sampling: simple random or systematic random or convenient sampling or client exit interview

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Let’s work on

Define objectives Define research design Sampling design

Time: 20 mins

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Collecting and Analyzing Evidence

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a. Data sourcea. Primary- census or survey; validity and reliability b. Secondary - credibility

b. Methods of collecting primary data (detail in the following slide)

a. Interview - structured and unstructuredb. Observationc. Participatory/group discussion

c. Data managementa. Quantitative data – tables, graphs and statistical analysis b. Qualitative data- narration, contextualizationc. Use of software – SPSS, EPIinfo, CsPro, dbase, Atlas.ti,

Eviews, STATA d. Research report writing

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Data Collection Methods

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Interviews - structured or unstructured Questionnaire design - qualities of a good questionnaire What a questionnaire can do? Which method?

Observations When to observe? What an observation can do?

Participatory/group discussion - RRA, PRA, FGD When to use participatory methods? What they can do?

Case studies When to use case studies? What case studies can do?

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Data…

Data collection Primary data: Questionnaire, check list,

observation Secondary data: Administrative records

Data management Frequency distribution - tables, graphs and

mean calculation Qualitative data: narration and

contextualization

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Define data collection tools

Source of information Tools for data collection

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Ethical Issues? Avoidance of Conflict??

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Respecting participants - human rights issues

Being honest - no manipulation Protecting information - right to privacy Cultural, religious and social characteristics

friendly Informed consent

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How one becomes unethical?

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Speed – not having enough time, so data and other facts are sometimes “made up.”

Greed – we want more funds for your organization and in your “win” column, so the truth gets stretched.

Laziness – we do not want to do the hard work involved in gathering the real data, etc.

Haziness – we or our organizations do not have clear guidelines and procedures to avoid ethical conflict.

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Drawing conclusion

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Validating with other similar types of study Testing hypothesis (if formulated) Comparing- use previous studies Reinforcing the findings (may be gaps) Recommendations (be aware of unsolicited

jargons!) Look at the coherence: problem –

objectives- methods – analysis – conclusion

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Revisiting- Planning your research!!!

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Formulate your question – problem identification Get background information- review Refine your research topic- select issues Consider your resource options – T3 (Time,

treasury and technology) Select and use appropriate methods and tool-

empirical issue Locate and analyze information – analytical issue Organize and write- dissemination

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References

Babbie, Earl. (2008). The Basics of Social Research. London: Thomson Wadsworth.

Blaxter, Loraine, Hughes, Chistina & Tight, Malcolm. (2010). How to Research. New York: The McGraw-Hill.

Miller, RL., & Brewer, JD. (2003). The A-Z of Social Research. London: SAGE Publications.

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Any Queries?

THANK YOU FOR YOUR PATIENCE!!!