CHOOSING A QUALITATIVE DATA ANALYSIS (QDA) PLAN PowerPoint PPT Presentation

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Title: CHOOSING A QUALITATIVE DATA ANALYSIS (QDA) PLAN


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CHOOSING A QUALITATIVE DATA ANALYSIS (QDA) PLAN
  • Data Analysis should change what you do, not just
    how you do it. - Matin Movassate
  • If you are to choose the right data analysis plan
    for your study, it is first pertinent to collect
    qualitative data.
  • If the data and methods of data analysis plan are
    right, it will have numerous benefits, including
    taking the right decisions.

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What is a Qualitative Data Analysis?
  • QDA is based on interpretative policy to examine
    the symbolic and meaningful content of data.
  • For conducting Data Analysis for any research, it
    is also important to have the right methodology.
  • In other words, it is interpreting the
    qualitative data by many processes and procedures
    to transform them into great insights for taking
    dynamic decisions.

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What is Qualitative Data?
  • Descriptive data that are non-numerical and
    capturing concepts and opinions, values and
    behaviors of people in a social context is called
    Qualitative data Collection.
  • It is the data from observation of audio and
    video recordings and also reading the transcripts
    of interviews and copies of documents.

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What Purpose Does The Qualitative Data Analysis
Plan Perform?
  • Unlike Quantitative data analysis, which is more
    of numbers and statistics, qualitative analysis
    is analysis of subjective and non-numerical
    qualitative data. Hence it performs many
    functions including
  • Organizing data
  • Interpreting data
  • Identifying patterns
  • Forming the basis for informed and verifiable
    conclusions
  • Ties research objectives to data

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CHOOSING A QUALITATIVE DATA ANALYSIS (QDA) PLAN
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The Different Types Of Data Analysis Plans
  • Thematic Analysis (TA)
  • TA is a flexible and non-research design specific
    data analysis plan.
  • It generates themes from interview data and is
    useful in case studies, phenomenology, and
    generic qualitative and narrative analysis, among
    others.

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Types Of Data Analysis Plans
  • Interpretative Phenomenological Analysis (IPA)
  • For the phenomenological research study, IPA is
    the right choice. It brings out the core of the
    phenomenon under review.
  • Other plans like Moustakas' Modified Van Kaam,
    Colaizzi, Giorgi, and Heuristic analysis also
    help to study phenomenological research.
  • Even TA can be used, and the ultimate aim and
    focus should be to generate meaningful results.

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Types Of Data Analysis Plans
  • Grounded Theory
  • Unlike TA and IPA, the grounded theory uses
    specific data analysis plan. It requires you to
    use the analyzed data concurrently and applying
    constant comparison method of analysis.
  • . It goes beyond adding to the existing
    knowledge and developing a new theory about a
    phenomenon grounded on data.

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Types Of Data Analysis Plans
  • Qualitative dissertation (QD)
  • QD is the most effective of all other types of
    other plans and it is used in market research.
  • Content Analysis
  • The qualitative content analysis draws realistic
    conclusions after organizing and obtaining elicit
    meaning from the data.
  • It involves four major stages, which include
  • Decontextualization
  • Recontextualization
  • Categorization
  • Compilation

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Types Of Data Analysis Plans
  • Narrative analysis
  • Narrative analysis focuses on different elements
    to make diverse but equally substantial and
    meaningful interpretations and conclusions.
  • It is a genre of analytical frames used by
    researchers to interpret information with the
    context of research shared by all in daily life.
  • Also known as discourse studies, is a broad term
    for studying the ways of how people use language.

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Types Of Data Analysis Plans
  • Framework analysis
  • Framework analysis assesses policies and
    procedures from the same people that they affect.
  • Framework analysis uses five steps, including
  • Familiarization
  • Identifying a thematic framework
  • Indexing
  • Charting mapping
  • Interpretation

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Types Of Data Analysis Plans
  • Participatory action research (PAR)
  • PAR enhances collective inquiry among the
    communities concerned as an approach to research
    them. It also emphasizes participation and
    action among them.
  • Case Study
  • The case study qualitative analysis plan has
    evolved over the last few years into a vital tool
    useful for investigating trends and specific
    situations in a lot of scientific disciplines.
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