Seminar Series iv

Section outline

• Select section General

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  General

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  • Select activity Monday , March 2nd 2026

    

    Monday , March 2nd 2026 Forum
  • Select activity LIVE CLASS

    

    LIVE CLASS External tool
  • Select activity Course Outline

    

    Course Outline File
• Select section COURSE ORIENTATION AND RESEARCH IMPLEMENTATION READINESS

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  COURSE ORIENTATION AND RESEARCH IMPLEMENTATION READINESS

  • Select activity Context Setter

    

    Context Setter File
• Select section RESEARCH METHODOLOGY

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  RESEARCH METHODOLOGY

  • Aligning methodology with study objectives and research questions
  • Research design and justification
  • Target population, sampling design, and sample size determination
  • Units of analysis and measurement considerations
• Select section DATA COLLECTION METHODS AND INSTRUMENTS

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  DATA COLLECTION METHODS AND INSTRUMENTS

  • Selecting appropriate data collection methods (survey, interview, observation, document review)
  • Designing questionnaires, interview guides etc
  • Structuring tools for clarity, relevance, and completeness
  • Aligning instrument items with variables/objectives.
• Select section PILOTING, VALIDITY, RELIABILITY AND ETHICS IN DATA COLLECTION

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  PILOTING, VALIDITY, RELIABILITY AND ETHICS IN DATA COLLECTION

  • Purpose and process of pilot testing
  • Validity checks (face, content, construct)
  • Reliability testing and internal consistency
  • Ethical issues in field data collection (consent, confidentiality, permissions, data protection)
• Select section FIELDWORK PLANNING AND DATA COLLECTION MANAGEMENT

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  FIELDWORK PLANNING AND DATA COLLECTION MANAGEMENT

  • Fieldwork planning and logistics, Enumerator guidance (where applicable)
  • Data quality control during collection
  • Record keeping, field notes, and handling non-response
• Select section DATA CODING, ENTRY AND MANAGEMENT

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  DATA CODING, ENTRY AND MANAGEMENT

  • Coding qualitative and quantitative responses
  • Data entry templates and variable labeling
  • Introduction to online survey tools (e.g., Google Forms, KoboToolbox, SurveyMonkey, Microsoft Forms), Converting a questionnaire into an online survey format
  • Design considerations for online data collection (skip logic, mandatory fields, response validation, mobile usability)
• Select section SOFTWARE TRAINING I: DATA CLEANING AND PREPARATION

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  SOFTWARE TRAINING I: DATA CLEANING AND PREPARATION

  • Introduction to data analysis software (e.g., SPSS, Stata, R, NVivo/ATLAS.ti as applicable)
  • Cleaning data: missing values, outliers, inconsistencies
  • Recoding variables and preparing analysis-ready datasets
  • Data audit trail and transparency in cleaning decisions
• Select section SOFTWARE TRAINING II: DESCRIPTIVE ANALYSIS

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  SOFTWARE TRAINING II: DESCRIPTIVE ANALYSIS

  • Frequencies, means, and standard deviations
  • Summary tables and charts
  • Descriptive interpretation in relation to study variables/objectives
  • Preparing descriptive results for a findings chapter
• Select section SOFTWARE TRAINING III: INFERENTIAL / ADVANCED ANALYSIS

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  SOFTWARE TRAINING III: INFERENTIAL / ADVANCED ANALYSIS

  • Choosing appropriate statistical tests based on objectives and variable types (as applicable)
  • Assumptions and diagnostics
  • Interpretation of outputs and reporting of results
• Select section QUALITATIVE DATA ANALYSIS

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  QUALITATIVE DATA ANALYSIS

  -       Coding and theme development

  -       Thematic analysis and interpretation

  Presenting qualitative evidence using quotes and thematic narratives
• Select section PRESENTATION OF RESEARCH FINDINGS

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  PRESENTATION OF RESEARCH FINDINGS

  • Structuring the findings chapter
  • Presenting results by objective/research question
  • Using tables, figures, and narrative effectively
  • Common mistakes in findings presentation and how to avoid them
• Select section INTERPRETATION, DISCUSSION LINKAGES AND REPORTING STYLE

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  INTERPRETATION, DISCUSSION LINKAGES AND REPORTING STYLE

  • Distinguishing findings presentation from discussion
  • Interpreting findings objectively and logically
  • Academic writing style for results sections