Title: "Using Grounded Theory Approach: From Start to Finish (Philip Adu, PhD.)" 1. Introduction to Grounded Theory: Speaker: Philip Adu, PhD. Grounded Theory is a research methodology that involves a systematic, step-by-step, but repetitive process of data collection and analysis to develop a theory that explains or understands a phenomenon. It is an active and intensive data collection process driven by the research problem or question and the gaps identified in the initial stage. Grounded Theory was developed by Barney Glaser and Anselm Strauss in the 1960s and has since been widely used in various disciplines, including sociology, psychology, nursing, and education. 2. When to use Grounded Theory: Speaker: Philip Adu, PhD. Grounded Theory is used to explain a phenomenon, such as leadership, bullying, success, disability discrimination, racism, loneliness, mental health, stigma, or to examine and understand experiences living with mental health issues, homelessness, or domestic violence. The research question should be open-ended, starting with how, what, or why, and exploratory in nature. Grounded Theory is particularly useful when there is little or no existing theory on the topic, or when the existing theory is insufficient or inappropriate for the research context. 3. Meaning of Theory: Speaker: Philip Adu, PhD. A theory is an abstract description of how concepts are related to each other in explaining or understanding an action, event, or process. It is a set of interrelated constructs, definitions, and propositions that present a systematic view of a phenomenon. A theory is not a hypothesis or a speculation but is based on empirical evidence and is developed through a rigorous and systematic process. Grounded Theory aims to generate a theory that is grounded in the data, meaning that it emerges from the data and is not imposed on it. 4. Characteristics of Grounded Theory Approach: Speaker: Philip Adu, PhD. * No preconceived ideas: The data should drive the analysis, and the researcher's background and pre-knowledge should be bracketed to avoid influencing the analysis. This means that the researcher should approach the data with an open mind and avoid making assumptions or drawing conclusions based on their prior experience or knowledge. * Analysis should be data-driven: The researcher actively searches for information to fill the gaps identified in the initial stage and tests the categories and theories developed. This means that the analysis is an ongoing and iterative process, where the researcher constantly revisits the data, refines the categories and theories, and seeks new data to test and refine them. * Writing memos: The researcher should document their thoughts, observations, reflections, and methodology process, which will help in developing the theory and reporting or explaining the findings. Memos are informal notes or reflections that the researcher writes during or after the data collection or analysis. They can include ideas, insights, questions, or concerns about the data or the analysis process. Memos are essential in Grounded Theory as they help the researcher to keep track of their thoughts and ideas and to develop a rich and detailed theory. * Attainment of saturation: Saturation in Grounded Theory is reached when the new data collected does not cause a change in the theory developed. It is a subjective concept, and the researcher should ensure that their audience believes in the findings. Saturation is the point in the data collection and analysis process where the researcher has gathered enough data to answer the research question and to develop a theory that is rich, thick, and comprehensive. Saturation is not about the quantity of the data but about the quality and the depth of the understanding that the data provides. 5. Data Collection Strategies: Speaker: Philip Adu, PhD. Grounded Theory data collection is informed by ethnographic methods, and the researcher goes to the field where participants are located and actively engages with them to collect rich data. The three main data collection strategies are intensive interviewing, observation, and document or artifact collection. The choice of strategy depends on the research problem, question, and feasibility. * Intensive interviewing: This involves in-depth, open-ended interviews with participants to explore their experiences, perceptions, and attitudes about the phenomenon being studied. The interviews are usually audio-recorded and transcribed verbatim to ensure accuracy and completeness. * Observation: This involves the researcher directly observing the phenomenon being studied in its natural setting. The researcher may take field notes, photographs, or videos to document their observations and to capture the richness and complexity of the phenomenon. * Document or artifact collection: This involves the collection and analysis of documents or artifacts that are relevant to the phenomenon being studied. These may include reports, policies, letters, emails, photographs, or other materials that provide insights into the phenomenon. 6. Data Analysis Process: Speaker: Philip Adu, PhD. The data analysis process involves summarizing, abstracting, and assigning meaning to the data. The researcher should be open to multiple interpretations of the data, be flexible in allowing the data to drive the analysis, and be aware of the language used by the participants. The three main coding steps in Grounded Theory, as recommended by Shamas, are initial coding, focused coding, and theoretical coding. * Initial coding: This involves the line-by-line coding of the data to identify and label concepts or categories that emerge from the data. The codes should be descriptive, specific, and relevant to the research question. * Focused coding: This involves the selection and refinement of the most significant and relevant codes or categories from the initial coding. The researcher should focus on the codes that have the most explanatory power and that are most closely related to the research question. * Theoretical coding: This involves the integration and synthesis of the codes and categories into a higher-level, abstract theory that explains or understands the phenomenon being studied. The theory should be grounded in the data, meaning that it emerges from the data and is not imposed on it. 7. Visualizing Your Theory: Speaker: Philip Adu, PhD. It is essential to visualize the theory developed, as it will be easy for the audience to understand. The researcher can use software like inVivo, Inspiration, or Cmap, or use Word documents to create diagrams or illustrations that explain the theory. The visualization should be clear, concise, and visually appealing, and should capture the essence of the theory in a way that is easy to understand and remember. Additional Resources: The speaker recommends the book "Constructing Grounded Theory" by Dr. Shamas and a video of her interview about conducting a Grounded Theory study. These resources can provide further insights and guidance on how to use Grounded Theory in your research.

This is an excellent video. 1000%. This ties in everything so nicely

Thank you for your presentation. I'm having a problem on the pie chart that I exported from the software. On the frequency of every categories the '' n'' value of the pie chart is giving 100.1%. What can I do? Thanks.

Thank you!!

Bought your book. And it is really good 👍🏻

very informative!

that is great! I like it!

Thank you for your amazing presentation. I am a doctoral student at the University of Texas at Austin and my research topic is Campus Carry. My only research question is: Given their historic marginalization in Texas, how do faculty of color at a Texas HBCU make sense of the intersections of campus carry and racial tensions? I planned to take a phenomenology approach. Now, I am wondering if that will work best and if I should change to a case study or something else. What is your advice? I am taking my last class this semester and I am working on chapter three now. I appreciate your support. Thank you, Syneetra

Thanks for the lecture but I could not find your slides?

Thank you sir...this video was a great help with my dissertation analysis. I gained a distinction in my MSc

Thank you... this helped me with my dissertation coding and thematic analysis. I gained a distinction. ❤

Thank you so much for this great lectures

Thank you so much for very excellent presentation! Could you please send me a copy of your powerpoint file? I can not download it.

Comprehensive and very useful. Thank you!

Concise but at the same time insightful. This is pure knowledge gold!

Thank you very much!

Simple and understandable explanation. Thank you, Dr. Adu

I have sent you email

Hello Dr Phillip such a great presentation. My only question is if I develop memo how can i include those memos in thesis/dissertation? Should I use manually?

Thank you very much sir. This was very useful

There are, obviously, a very few academics out there who are compassionate in sharing their knowledge and ideas. Thank you so much for this, Dr. Philip Adu. 😊

your Slideshare link is not working

Many thanks for your wonderful presentations Sir..!

I love your work Dr. Adu! It is truly helpful. Thank you for sharing your knowledge, insight, and expertise with us. Kind regards, Robert

WHY IS THIS A FUCKING HOUR LONG

this is so helpful, thank you for posting :)

very informative presentation for graduate students

Thank you very much!

I m using Strauss n Corbin, your explanation is more clearer

Tqvm.Dr Abu..

Thank you, excellent lecture

Prof adu, can you make video on how to conduct qualitative comparative analysis in nvivo for case study

This is helpful sir. Much appreciated

I hope you'll respond. Is there a conceptual framework for Action Research?

Dr Adu, I'd like to ask that you do a video on Study by study Lit review and Thematic lit review in a simplified way.

Pls Dr I would like to have the email address

Great presentation, will be glad to get the slides Dr.

Thank you very much for this lecture. you really gave me a great hype and i can do with this always. I have been yawning for it but finally i have the way forward.

Thank you Dr. Adu your presentation is excellent. You sound so calm that I can listen to your lecture all day long :)

Please, how I will get Saldana's 2013 book, which you recommended?

What happen if we are dealing with data gathered in different languages out of English, to use the electronic coding?

Wow wow. I am just from downloading this software for qualitative today analysis but I haven't used any software to analyse data before. I therefore find this video useful as I get started on my journey to bettering my research skills. And what free quantitative software would recommend?

Thank you for the link.

Thank you so much for this powerful explanation

It really helps a lot✍🏻

It really helps a lot✍🏻

This lecture is pure gold. Thank you!

Good video

Sir thank you

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