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2.4 Common problems and how to avoid them

Learn how to identify and mitigate common problems in scholarly project planning and execution to ensure data quality and project success. Topics include research questions, methods, generalizability, expertise, recruitment rates, data analysis, timelines, budgeting, and motivation.

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2.4 Common problems and how to avoid them

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  1. 2.4 Common problems and how to avoid them Elizabeth Oddone Paolucci Community Health Sciences & Surgery

  2. Objectives By the end of this session, learners may be able to: • Identify potential problems common to planning and conducting a scholarly project; and • Present potential ways to mitigate or overcome anticipated problems.

  3. Common problems (and solutions) • Project planning phase: • Unfocused, unclear, or unrealistic research questions; • Inappropriate methods; • Findings and methods lack generalizability; and • Lack of expertise • Choose your topic and methodology • Interdisciplinary teams and advisors

  4. Other common problems (and solutions) • Recruitment and response rates • Leverage your network and pursue alternatives • Short, easy, clear surveys in the right format • Data entry problems • Software access, training, and support • Well-trained, detail-oriented personnel • Outside analyst

  5. Other common problems (and solutions) • Making sense of data • Research question focus • Listen to the data • Inconsistent protocol or change in plan • Consult with advisors to amend • Notify ethics board • Be ethical, clear, and transparent

  6. Other common problems (and solutions) • Miscalculated timelines • Plan and confirm what’s realistic and sensible • Use project management tools (Session 2.1) • Errors in budget • Plan in advance • Review and confirm costs • Use project management tools (Session 2.1)

  7. Other common problems (and solutions) • Declining motivation or morale • Passion and interest • Stay positive • Reward yourself

  8. Summary • There are some common problems that you may encounter in scholarly work. • It’s important to avoid or mitigate them when possible so as not to jeopardize the quality of your data or conduct of your project.

  9. 2.4 Common problems and how to avoid them Elizabeth Oddone Paolucci Community Health Sciences & Surgery

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