Collecting, analyzing and interpreting data
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Collecting, analyzing and interpreting data






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Collecting, analyzing and interpreting data Collecting, analyzing and interpreting data Presentation Transcript

  • Collecting the data This is the stage where appropriateinformation for answering the research question is collected.
  • The researcher should selectthe most appropriate methods of collecting data and the required data collection tools.
  • This calls for consideration of the nature of the investigation,the respondents, objectives and scope of the inquiry, resources available, time and the desired degree of accuracy.
  • Analysis and interpretation of data Analysis of data involves the application of raw data into categories through coding and tabulation.
  • The unwieldy data is condensed into manageable categories for further analysis.
  • The researcher attempts toclassify the raw data into some purposeful and usable categories.
  • In coding, the categories of data are transformed into symbols that may be tabulated and counted.
  • Use of computers is helpfulespecially when dealing with large amounts of data
  • Analysis work after tabulation isusually based on computation of various statistical measures.
  • Data entry and analysissoftware such as SPSS, Excel and Access are helpful at this stage.
  • In analysis, relationships or differences that support orconflict the original hypothesis are subjected to tests of significance to determine thevalidity with which conclusions can be made
  • If there are no hypotheses, theresearcher seeks to explain the findings.
  • Handling, Organizing andAnalyzing Qualitative Data
  • Qualitative data comes in different shapes and forms: focus group interview transcripts, notesscribbled down during interviews or participant observation, text of newspaper articles, transcripts of television or radio programmes.
  • The analysis of qualitative data is very much a matter ofdiscovering what occurs where, in which context, discussed inwhich terms, using what terms, themes or key words.
  • The thinking, judging, deciding, interpreting, etc., are more or less done by the researcher.
  • The nature of data quantitative [numbers] vs.qualitative [words, themes, etc.]
  • Analysis is really all aboutabstracting from your data what you consider important and significance in answering your research questions.