• LITERATURE REVIEW
• Key areas:
• • Spell out research question
• • State research hypothesis
• • Formulate objectives
• The life cycle of research:
• Identify data needs
• Spell out the research question
• Formulate the study objectives
• Plan the analysis
• Prepare data collection instruments
• Analyse data
• Draw conclusions
• Formulate recommendations
• Inform the stakeholders
• Collect data
• What is a research question?
• • Uncertainty about something in the population
• • Clear question facilitates design, inclusion, outcomes
• Refining ideas into research questions:
• • Begins with general uncertainty
• • Narrows down to concrete issue
• Translating uncertainty:
• • Specific terms
• • One issue
• • Everyday language
• • Link question to action
• • Must be stated as a question
• Sources of research questions:
• • Literature review
• • Conferences
• • Skepticism
• • New technologies
• • Observation & teaching
• • Mentors
• Two categories:
• • Descriptive questions
• • Analytical questions
• Steps in conceiving research question:
• 1. Review information
• 2. Raise question
• 3. Peer-review worth
• 4. Define exposures & outcomes
• 5. Sharpen question
• 6. Refine with details
• Example steps:
• Exercise & blood sugar example
• Sharpening and refining question
• Good research question – FINER:
• Feasible
• Interesting
• Novel
• Ethical
• Relevant
• Hypothesis:
• • Specific version of research question
• • Sample, exposure, outcome
• • Only for analytical questions
• Example hypothesis:
• Among diabetics… brisk walking daily… reduces fasting blood sugar by 10 mg%
compared with non-walkers
• Characteristics of good hypothesis:
• • Simple
• • Specific
• • Stated in advance
• Translating questions to objectives:
• • Frame scientifically
• • One verb
• • Primary vs secondary objectives
• Descriptive vs analytical objectives:
• • Estimate vs Determine
• Good and bad examples of objectives
• (Rewritten appropriately)
• Asking yourself the right question:
• • If wrong question → no hard work will save it
• • If right → you can do a good job

Converted_Research_Question_Presentation

  • 1.
    • LITERATURE REVIEW •Key areas: • • Spell out research question • • State research hypothesis • • Formulate objectives
  • 2.
    • The lifecycle of research: • Identify data needs • Spell out the research question • Formulate the study objectives • Plan the analysis • Prepare data collection instruments • Analyse data • Draw conclusions • Formulate recommendations • Inform the stakeholders • Collect data
  • 3.
    • What isa research question? • • Uncertainty about something in the population • • Clear question facilitates design, inclusion, outcomes
  • 4.
    • Refining ideasinto research questions: • • Begins with general uncertainty • • Narrows down to concrete issue
  • 5.
    • Translating uncertainty: •• Specific terms • • One issue • • Everyday language • • Link question to action • • Must be stated as a question
  • 6.
    • Sources ofresearch questions: • • Literature review • • Conferences • • Skepticism • • New technologies • • Observation & teaching • • Mentors
  • 7.
    • Two categories: •• Descriptive questions • • Analytical questions
  • 8.
    • Steps inconceiving research question: • 1. Review information • 2. Raise question • 3. Peer-review worth • 4. Define exposures & outcomes • 5. Sharpen question • 6. Refine with details
  • 9.
    • Example steps: •Exercise & blood sugar example • Sharpening and refining question
  • 10.
    • Good researchquestion – FINER: • Feasible • Interesting • Novel • Ethical • Relevant
  • 11.
    • Hypothesis: • •Specific version of research question • • Sample, exposure, outcome • • Only for analytical questions
  • 12.
    • Example hypothesis: •Among diabetics… brisk walking daily… reduces fasting blood sugar by 10 mg% compared with non-walkers
  • 13.
    • Characteristics ofgood hypothesis: • • Simple • • Specific • • Stated in advance
  • 14.
    • Translating questionsto objectives: • • Frame scientifically • • One verb • • Primary vs secondary objectives
  • 15.
    • Descriptive vsanalytical objectives: • • Estimate vs Determine
  • 16.
    • Good andbad examples of objectives • (Rewritten appropriately)
  • 17.
    • Asking yourselfthe right question: • • If wrong question → no hard work will save it • • If right → you can do a good job