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Action ResearchAction Research
ProcessProcess
Stephen KemmisStephen Kemmis
Gerald SusmanGerald Susman
Hilda TabaHilda Taba
• Identifying problem
• Analysis of problem
• Formulating ideas or hypothesis
• Implementation/action
• Collecting data
• Evaluating the results
Identifying an area of focusIdentifying an area of focus
• Involve teaching and learning and
should focus on your own practice
• Something within your locus of
control
• Something you feel passionate about
• Something you would like to change
or improve.
Guidelines for dataGuidelines for data
collectioncollection
• Be clear as to why you are collecting data.
• Be clear about how you are going to use that data
• The data collected should be
- accurate
- useful
- must not be too time consuming
- must be reliable enough to allow you to formulate
hypothesis and develop strategies with confidence.
• Decide how much data is to be collected.
• Use multiple sources of data to increase the believability of
findings i.e. triangulation.
Data collection: the 5W’sData collection: the 5W’s
and an Hand an H
• WHY are we collecting this data?
• WHAT exactly are we collecting?
• WHERE are we going to collect the data
and for how long?
• WHEN are we going to collect the data
and for how long?
• WHO is going to collect the data?
• How will data be collected and displayed?
Data Gathering TechniquesData Gathering Techniques
• Interview
• Checklist
• Portfolio
• Diaries
• Observation
• Photographs
• Audio tapes
• Video tapes
• Journal
• Questionnaire

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Action Research Process and Data Collection Techniques

  • 4. Hilda TabaHilda Taba • Identifying problem • Analysis of problem • Formulating ideas or hypothesis • Implementation/action • Collecting data • Evaluating the results
  • 5. Identifying an area of focusIdentifying an area of focus • Involve teaching and learning and should focus on your own practice • Something within your locus of control • Something you feel passionate about • Something you would like to change or improve.
  • 6. Guidelines for dataGuidelines for data collectioncollection • Be clear as to why you are collecting data. • Be clear about how you are going to use that data • The data collected should be - accurate - useful - must not be too time consuming - must be reliable enough to allow you to formulate hypothesis and develop strategies with confidence. • Decide how much data is to be collected. • Use multiple sources of data to increase the believability of findings i.e. triangulation.
  • 7. Data collection: the 5W’sData collection: the 5W’s and an Hand an H • WHY are we collecting this data? • WHAT exactly are we collecting? • WHERE are we going to collect the data and for how long? • WHEN are we going to collect the data and for how long? • WHO is going to collect the data? • How will data be collected and displayed?
  • 8. Data Gathering TechniquesData Gathering Techniques • Interview • Checklist • Portfolio • Diaries • Observation • Photographs • Audio tapes • Video tapes • Journal • Questionnaire