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picture1_Outline For Powerpoint Presentation Example 68605 | Analysis Of Data2c Breaking Problems Down Into Manageable Units


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File: Outline For Powerpoint Presentation Example 68605 | Analysis Of Data2c Breaking Problems Down Into Manageable Units
outline data types data analysis positive vs negative results examples outco mes you will be able to distinguish between quantities and qualitative data dealing with the three cs coding categorizing ...

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          Outline
     •
      Data Types
     •
     Data Analysis 
     •
      Positive vs Negative 
     results
     •
     Examples          Outco
                        mes
                    You will be able to:
                    •
                     Distinguish between Quantities and Qualitative data.
                    •
                     Dealing with the three Cs: Coding, Categorizing, and 
                    Concepts
                    •
                     Dealing with the negative results similar to positive 
                    one.
         Have 
       researchers 
     really discovered 
      a ‘new miracle 
       drug to cure 
       nine in 10 
       cancers’? 
         Data analysis can be said to be:
         “the    process     of   breaking     down, 
         examining, comparing,
         conceptualizing, and categorizing data” 
         (Strauss &Corbin, 1998).
         As    data     analysis    proceeds,    the 
         researcher  moves  back  and  forth 
         between  data  analysis  and  data 
         collection in order to create and explain 
         the findings. 
          Qualitative vs Quantitative Data
           • Qualitative      Research is        primarily 
            exploratory research.  It is used to gain 
            an understanding of underlying reasons, 
            opinions,  and  motivations.  It  provides 
            insights  into  the  problem  or  helps  to 
            develop ideas or hypotheses for potential 
            quantitative  research.  Qualitative  data 
            collection      methods        vary      using 
            unstructured         or      semi-structured 
            techniques.
           • Quantitative Research is used to quantify 
            the  problem  by  way  of  generating 
            numerical  data  or  data  that  can  be 
            transformed      into   useable     statistics. 
            Quantitative  Research  uses  measurable 
            data  to  formulate  facts  and  uncover 
            patterns  in  research.  Quantitative  data 
            collection  methods  are  much  more 
            structured      than     Qualitative      data 
            collection methods. 
                Data analysis
                 A Process of Noticing, Collecting and Thinking
                 Data analysis is the process of breaking down, examining, comparing, 
                conceptualizing, and categorizing data” (Strauss &
                 Corbin, 1998, p. 57), and to enable you to present what you have discovered 
                to others. Analysis involves: 
               i.     working with data, 
               ii.    organizing them, 
               iii.   breaking them into manageable units, 
               iv.    synthesizing them, searching for patterns, 
               v.     discovering what is important and what is to be learned, 
               vi.    deciding what you will tell others. 
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...Outline data types analysis positive vs negative results examples outco mes you will be able to distinguish between quantities and qualitative dealing with the three cs coding categorizing concepts similar one have researchers really discovered a new miracle drug cure nine in cancers can said process of breaking down examining comparing conceptualizing strauss corbin as proceeds researcher moves back forth collection order create explain findings quantitative research is primarily exploratory it used gain an understanding underlying reasons opinions motivations provides insights into problem or helps develop ideas hypotheses for potential methods vary using unstructured semi structured techniques quantify by way generating numerical that transformed useable statistics uses measurable formulate facts uncover patterns are much more than noticing collecting thinking p enable present what others involves i working ii organizing them iii manageable units iv synthesizing searching v discover...

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