Constant Comparison Method: A Kaleidoscope of Data - The Diigo Meta page

• 16 Dec 15
  

  mzaczek
  • In principle, data is organized by grouping like with like: data bits with data  bits.
  • means that the patterns, themes, and categories of analysis "emerge out of the  data rather than being imposed on them prior to data collection and analysis"  (p. 390).
  • means that the patterns, themes, and categories of analysis "emerge out of the  data rather than being imposed on them prior to data collection and analysis"

  1 more annotation...

• 19 Sep 12
  

  deshazerm

  qualitative research method constant assessment comparison Analysis

• 25 Aug 12
  

  Carol Satta

  Kaleidoscope analogy that models how to sort qualitative data.

  qualitative research data assessment qualitative assessment qualitative data

• 17 Aug 12
  

  qualitative research

  • "The qualitative analyst's effort at uncovering patterns, themes, and categories is a creative process that requires making carefully considered judgments about what is really significant and meaningful in the data (Patton, p. 406).
  • Inductive analysis (Patton, 1990) means that the patterns, themes, and categories of analysis "emerge out of the data rather than being imposed on them prior to data collection and analysis" (p. 390).
  • "The analyst moves back and forth between the logical construction and the actual data in a search for meaningful patterns" (Patton, p. 411).
  • According to Lincoln & Guba (1985), the essential task of categorizing is to bring together into temporary categories those data bits that apparently relate to the same content.
  • The researcher uses constant comparative analysis to look for statements and signs of behavior that occur over time during the study (Janesick, 1994). The process of constant comparison "stimulates thought that leads to both descriptive and explanatory categories" (Lincoln & Guba, 1985, p. 341).
  • The meaning of the category evolves during the analysis, as more and more decisions are made about which bits of data can or cannot be assigned to the category (Dey, 1993). The fit between data and categories--the process of developing categories--is one of continuous refinement. "Flexibility is required to accommodate fresh observations and new directions in the analysis" (Dey, p. 111).

  4 more annotations...

• 01 Jun 12
  

  Daniel Spielmann
  • cross-case analysis of three interviews, using the constant comparison method
  • case analysis or cross-case analysis
  • different perspectives on central issues

  • the constant comparison method as following four distinct stages:  

     
    1. comparing incidents applicable to each category, 
    2. integrating categories and their properties, 
    3. delimiting the theory, and 
    4. writing the theory
  • hypothesis generation (relationship discovery) begins with the analysis of initial observations
  • "The qualitative analyst's effort at uncovering patterns, themes, and categories is a creative process that requires making carefully considered judgments about what is really significant and meaningful in the data (Patton, p. 406).
  • Several resources are particularly useful to the process of category generation: "inferences from the data, initial or emergent research questions, substantive, policy and theoretical issues, and imagination, intuition and previous knowledge" (Dey, 1993, p. 100).
  • the essential task of categorizing is to bring together into temporary categories those data bits that apparently relate to the same content
  • devise rules that describe category properties and that can, ultimately, be used to justify the inclusion of each data bit that remains assigned to the category as well as to provide a basis for later tests of replicability
  • internally consistent
  • context
  • internally
  • externally
  • comparison
  • In principle, data is organized by grouping like with like: data bits with data bits. After the bits are separated into piles, each bit is compared within each pile. Data requiring further differentiation, will be divided up into separate "sub-piles."
  • we must be able to identify bits of data which can be related for the purposes of comparison
  • The meaning of the category evolves during the analysis
  • The research must continually attempt to define and redefine categories by specifying and changing the criteria used for assigning them to the data.
  • analysis. This metaphor helped us to conc

  17 more annotations...

• 20 Nov 11
  

  Rosa Santana
• 31 Oct 10
  

  trod13

  analysis qualitative research assessment

• 10 Sep 10
  

  chris deason

  "Constant Comparison Method:
  A Kaleidoscope of Data
  by"

  method constant research comparison

• 25 May 10
  

  Keith Lay

  Method of organizing analyzing text data for my interviews

  method

• 13 Aug 09
  

  Diana Dell

  qualitative_research

• 11 May 09
  

  drew polly

  A paper about the Constant Comparison Method

  qualitative data-analysis research

• 06 Feb 09
  

  Pauline Rooney

  constant comparison method research analysis data

• 17 Oct 08
  

  Hannah Reeves

  Qualitative research Analysis

• 20 Jul 07
  

  Ole C Brudvik

  constantcomparison methods qualitative

• 19 May 02
  

  Sherida Ryan

  imported Methods

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