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

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CHOOSING A QUALITATIVE DATA ANALYSIS (QDA) PLAN

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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. Since Qualitative analysis is more about the meaning of the analysis, it is too confusing with unstructured and huge data. For conducting Data Analysis for any research, it is also important to have the right methodology. If the data and methods of data analysis plan are right, it will have numerous benefits, including taking the right decisions. What is a qualitative data analysis? QDA is based on interpretative policy to examine the symbolic and meaningful content of data. In other words, it is interpreting the qualitative data by many processes and procedures to transform them into great insights for taking dynamic decisions. – PowerPoint PPT presentation

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Title: CHOOSING A QUALITATIVE DATA ANALYSIS (QDA) PLAN


1
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.

2
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.

3
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.

4
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

5
CHOOSING A QUALITATIVE DATA ANALYSIS (QDA) PLAN
6
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.

7
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.

8
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.

9
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

10
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.

11
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

12
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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