Summary of Activities.ppt

7/28/2019 Summary of Activities.ppt

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Summary of Activities


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Highlights

Opening Program

Introduction of participants by Dr. Igama

Welcome by the DOH RD calls theresearchers as honorable /

kagalanggalang

Wished participants a fruitful training

workshop

Thanked the resources persons


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Leveling of Expectations Content

- basic research (incl id of research problems,updates, diff bet qualitative and quantitative

designs

- Write good research proposal / paper

- Clarify notions/ putting in proper perspective

Facilitators / co-participants:

- equipped able to guide / mentor

- Partnership / networking

Overview of training workshop flow of

activities


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Context of Health Research in CAR

CHRDC Agenda Framework

Poverty, health and development

Health Situation - vital indices, mortalityand morbidity, coverage of health

programs, MDGs, regional concerns

CHRDC Research Agenda


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Context: Research and Health Profession

by: Dr. Palaganas

Paradigms is ones worldview or howindividuals determine what is true Positivist / Objectivist (deductive or starts with theory)

Naturalism / Constructivism ./ Subjectivist (inductive)

Majorassumptions in paradigms Ontology nature of reality

Epistemology rel. bet. reseacher and those beingreserached

Axiology role of values in the inquiry

Methodology how evidence is best obtained

Paradigms are crucial it guides approach


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Research & the Health Professional

A responsibility for practice profession

Acquisition of quality knowledge

Need for evidence-based (informed)practice

Use of research results as related to levels

of Innovativeness (early adopters,innovators, late majority, laggards


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Quantitative Research Process

by Dr. Domantay

Research Problem Researchability,Significance, Feasibility, otherconsiderations

Review of Literature tips on searchingWeb; not just citations but criticalevaluation, analysis and synthesis(attribution)

Tip: prepare Article Summary Page

Quiz


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Quantitative Research Designs

1. RCT

2. Cohort

3. Case Control4. Cross-Sectional

5. Case Studies


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Sampling

Random = equal chance to be included in the

sample

Need enough subjects to ensure accuracy of

findings expected frequency of condition or mean value of

variable in study

level of confidence of study

Maximum deviation from true value one is willing to

commit (or minimum difference between parameters

of comparison groups one would like to detect)


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sampling

Choose formula based on whether its a

problem dealing with counts or

measurements and whether it a

descriptive or an analytic study


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Analyzing Quantitative Data

Use of appropriate statistical tests to determine

level of significance; choice will depend on:

Determine Scale of Measurement (nominal,

ordinal, numerical) Determine

comparison of Parameters or Indicators - single

populations, two populations or three or more groups

and whether samples are related or independent

study of relationships between variables

Quiz

Documents

Summary of Activities.ppt