Choosing a qualitative data analysis Plan
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The document discusses qualitative data analysis (QDA) planning, emphasizing the importance of collecting qualitative data and selecting suitable analysis methods to derive meaningful insights. It covers various qualitative analysis types such as thematic analysis, interpretative phenomenological analysis, and grounded theory, each serving different research purposes. Additionally, it highlights the unique functions of qualitative data analysis, including organization, interpretation, pattern identification, and drawing conclusions based on subjective data.
Choosing a qualitative data analysis 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.