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Qualitative data analysis


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Qualitative data analysis

  1. 1. Introduction • Most evaluations include qualitative data • Gathered through descriptions, responses to open ended questions, transcripts, notes, questionnaires, photos, videos, e-mails, program documentation, etc. • Provides deeper insight into how programs, policies work or fail to work • Analysis occurs throughout the data collection process
  2. 2. PPOIISED Framework for Analysis of Qualitative Data (a series of questions) • Purposes • Paradigms • Options • Interpretations • Iterations • Standards • Ethics • Displaying (See page 430 of your text book)
  3. 3. Purposes Know purposes of qualitative data before analyzing by reviewing: • Evaluation type: Describe processes, performance monitoring, impact evaluation, etc. • Type(s) of questions to be answered: Descriptive, causal, value, action? • Users of analysis & how they want information presented: Can affect format, presentation, level of detail PPOIISED Framework.
  4. 4. Paradigms • Paradigms should be thought of as, “…worldviews about reality, knowledge, and methods…” • Potential issues caused by paradigms: Explain possible contradictions/ differing meanings in evaluation due to paradigms (See page 434 of your text book)
  5. 5. Project Options • Choose options for analyzing data based on: purpose, paradigms, time & skill available • 3 key dimensions of options: – Focus – Who performs analysis – Reporting
  6. 6. Interpretations • Interpretations make meaning out of the data in terms of: – Understanding specific pieces of data – Categorizing data – Identifying overall patterns in data • 3 ways to categorize data: – Attribute coding (demographic if needed) – Descriptive coding (attach tags) – Pattern coding (relationship and patterns)
  7. 7. Keep Track of Data Iterations • Iterations – What iterations should be built into analytical process? • Standards – What standards to use as guides? – What strategies to ensure standards for quality analysis?
  8. 8. Ethics • What ethical issues might arise? • How should ethical issues be handled?
  9. 9. Displays • Best ways to display data during analysis? • Best ways to display data for reporting? • Useful data displays – Charts, tables, figures, map, etc. – Matrix