What is Qualitative Research Design? Definition, Types, Methods and Best Practices
By Nick Jain
Published on: July 7, 2023
Table of Contents
What is Qualitative Research Design?
Types of qualitative research design, qualitative research design methods, qualitative research design process: 9 key steps, top 12 best practices for qualitative research design.
Qualitative research design is defined as a type of research methodology that focuses on exploring and understanding complex phenomena and the meanings attributed to them by individuals or groups. It is commonly used in social sciences, psychology, anthropology, and other fields where subjective experiences and interpretations are of interest.
Qualitative research is concerned with capturing the richness and depth of human experiences, beliefs, attitudes, and behaviors. It aims to go beyond simple statistical analysis and uncover insights that quantitative research may not be able to capture.
Qualitative research design typically involves gathering data through methods such as interviews, observations, focus groups , and analysis of documents or artifacts. These methods allow researchers to collect detailed, descriptive information about participants’ perspectives, experiences, and contexts.
Key characteristics of qualitative research design include:
- Exploratory nature: Qualitative research often begins with an open-ended approach to allow for the discovery of new insights and patterns.
- Contextual understanding: It emphasizes understanding phenomena within their social, cultural, and historical contexts, as these factors shape individuals’ experiences.
- Subjectivity and reflexivity: Qualitative researchers acknowledge the influence of their own perspectives and biases and often engage in reflexivity to critically examine their role in shaping the research process and outcomes.
- Small and purposive sampling: Rather than aiming for large representative samples, qualitative research often involves selecting participants who can provide rich and diverse information relevant to the research question.
- In-depth data collection: Researchers spend considerable time with participants, collecting detailed and nuanced data, often through open-ended interviews, observations, or analysis of texts.
- Iterative data analysis: Qualitative analysis involves coding, categorizing, and interpreting data to identify patterns, themes, and relationships. This process is often iterative, with researchers revisiting and refining their analysis as new insights emerge.
There are several types of qualitative research designs, each with its own specific characteristics and purposes. Here are some common types:
- Phenomenological Research
This design aims to understand the essence and meaning of human experiences related to a particular phenomenon. Researchers explore participants’ subjective experiences through in-depth interviews or observations to uncover the underlying structures and patterns of their lived experiences.
- Ethnographic Research
Ethnography involves studying and understanding the culture, beliefs, practices, and social interactions of a specific group or community. Researchers immerse themselves in the participants’ natural environment for an extended period, often conducting participant observation, interviews, and document analysis to gain an in-depth understanding of the culture.
- Grounded Theory
Grounded theory is an approach where researchers aim to develop theories or conceptual frameworks grounded in the data. Through constant comparison and analysis of collected data, researchers identify categories, concepts, and relationships to generate a theory that explains the phenomenon under investigation.
Case study research involves an in-depth examination of a single individual, group, organization, or specific context. Researchers collect multiple sources of data such as interviews, observations, and documents to provide a comprehensive understanding of the case and to draw insights that may have broader implications.
- Narrative Research
Narrative research focuses on understanding and analyzing the stories and personal narratives shared by individuals. Researchers examine the structure, content, and context of these narratives to gain insights into how individuals construct meaning and make sense of their experiences.
- Participatory Action Research (PAR)
PAR is a collaborative approach that involves researchers working closely with participants or communities to identify and address social issues or problems. The aim is to empower participants and generate actionable knowledge through a cyclical process of reflection, action, and change.
- Constructivist/Interpretive Research
This design emphasizes the importance of understanding multiple subjective realities and interpretations of social phenomena. Researchers explore the different meanings and perspectives attributed to a phenomenon, often using interviews, focus groups , or textual analysis to uncover the complexities of individuals’ interpretations.
Learn more: What is Qualitative Market Research?
Whether you’re a seasoned researcher or new to the field, this comprehensive resource will equip you with the tools and techniques needed to conduct impactful qualitative research.
- Interviews: Gain In-Depth Insights Discover the nuances of conducting interviews, from structured to unstructured approaches. Learn how to ask the right questions, build rapport with participants, and extract valuable insights into their experiences, beliefs, and attitudes.
- Observations: Decode Human Behavior Explore the world of observational research and learn how to systematically observe and record human behavior in natural or controlled settings. From participant to non-participant observation, uncover the secrets to decoding social interactions and contextual factors.
- Focus Groups: Harness Collective Wisdom Harness the power of group dynamics with focus groups. Delve into the process of facilitating discussions, eliciting diverse perspectives, and uncovering shared insights that drive actionable outcomes.
- Case Studies: Unravel Complex Phenomena Embark on an in-depth exploration of single cases to unravel complex phenomena. Dive deep into the world of case studies, gathering multiple data sources to provide a comprehensive understanding within real-world contexts.
- Ethnography: Immerse Yourself in Culture Immerse yourself in the cultural context of your research subjects with ethnographic methods. From participant observation to in-depth interviews, learn how to capture the essence of cultural practices and social interactions.
- Visual Methods: Enhance Understanding Elevate your research with visual methods, from photography to video recordings. Explore how visual data can complement traditional methods, providing additional insights and documentation of participants’ experiences.
- Textual Analysis: Uncover Hidden Patterns Master the art of textual analysis and uncover hidden patterns and meanings within written or verbal data. From coding techniques to thematic analysis, unlock the secrets buried within the text.
Armed with a newfound understanding of qualitative research methods, you’re ready to embark on a journey of discovery. Whether you’re exploring new territories or refining existing practices, our guide will empower you to navigate the complexities of human behavior and unlock insights that drive meaningful change.
The qualitative research design process typically involves several key steps. While the specific details may vary depending on the research context and methodology, here is a general overview of the steps involved:
1. Identify the Research Question
Start by providing a concise and unambiguous statement that outlines your research question or objective. What do you want to explore or understand through your qualitative research ? Ensure that the question is specific, focused, and relevant to your field of study.
2. Determine the Research Approach
Select the most appropriate qualitative research approach or design based on your research question and objectives. Consider the different types of qualitative research designs (such as phenomenology, ethnography, and grounded theory) and choose one that aligns with your research goals.
3. Develop a Research Plan
Create a research plan that outlines the steps, procedures, and timeline for your study. Identify the target population or participants, data collection methods, and data analysis techniques you intend to use.
4. Select Participants
Determine the criteria for selecting participants who can provide valuable insights related to your research question. Consider factors such as demographics, expertise, experiences, or specific characteristics relevant to your study. Choose a sampling method (e.g., purposive sampling, snowball sampling) to recruit participants.
5. Collect Data
Conduct data collection using the chosen qualitative methods . This may involve conducting interviews, observations, focus groups , or document analysis. To maintain ethical standards, it is crucial to adhere to ethical guidelines and ensure that participants provide informed consent. Consider audio or video recording to ensure accurate data capture.
6. Analyze Data
Engage in data analysis to identify patterns, themes, and insights from the collected data. This may involve coding, categorizing, and organizing the data using qualitative analysis software or manual techniques. Use iterative and reflexive processes to refine and deepen your analysis.
7. Interpret Findings
Interpret the findings based on the analysis of your data. Explore the emerging themes, relationships, and meanings that have emerged from the data. Consider how the findings relate to your research question and existing literature in your field.
8. Draw Conclusions and Generate Insights
Summarize the key findings of your study and draw conclusions based on your interpretation of the data. Reflect on the implications and significance of your findings for theory, practice, or future research. Identify any limitations or potential biases in your study.
9. Communicate Results
Prepare a report or manuscript to communicate your research findings. Present your qualitative data, analysis, interpretations, and conclusions in a clear and organized manner. Consider sharing your findings through presentations, publications, or other appropriate dissemination channels.
Learn more: What is Quantitative Market Research?
When conducting qualitative research , it is important to follow best practices to ensure the rigor, validity, and trustworthiness of your study. Here are some top best practices for qualitative research design:
1. Clearly Define Research Questions: Begin by clearly defining your research questions or objectives. Make sure they are specific, focused, and aligned with the purpose of your study. Clearly articulating your research questions will guide your entire research design.
2. Use a Theoretical Framework: Situate your research within a relevant theoretical framework or existing body of literature. This provides a foundation for understanding the context and helps you generate insights that contribute to theory development or refinement.
3. Select an Appropriate Research Design: Choose a qualitative research design that best suits your research questions and objectives. Consider the different approaches available, such as phenomenology, ethnography, or grounded theory, and select the one that aligns with your research goals.
4. Use Rigorous Sampling Techniques: Select participants or cases using rigorous sampling techniques. Consider purposeful sampling, where participants are chosen based on specific criteria relevant to your research question. Aim for diversity and seek saturation, where data collection reaches a point of redundancy and further data collection does not yield significant new insights.
5. Establish Trustworthiness and Credibility: Enhance the trustworthiness of your research findings by employing strategies such as member checking, where participants review and validate your interpretations, or peer debriefing, where colleagues provide feedback on your analysis and interpretations. Triangulation, or the use of multiple data sources or methods, can also strengthen the credibility of your findings.
6. Maintain Reflexivity: Be aware of your own biases, assumptions, and preconceptions throughout the research process. Engage in reflexivity by regularly reflecting on how your own perspectives may influence data collection, analysis, and interpretation. Documenting and acknowledging your own role and potential impact on the research process is essential.
7. Plan and Conduct Ethical Research: Adhere to ethical guidelines and obtain informed consent from participants. Ensure participant confidentiality, anonymity, and privacy. Seek ethics approval from relevant institutional review boards or ethics committees.
8. Use Clear and Consistent Data Collection Methods: Follow established protocols and guidelines for data collection methods such as interviews, observations, or document analysis. Develop interview guides or observation protocols to ensure consistency and standardization across participants or cases.
9. Maintain Detailed Documentation: Keep comprehensive records of your research process, including field notes, transcripts, or analysis memos. Thorough documentation allows for transparency, traceability, and the potential for independent audit or replication of your study.
10. Engage in Iterative Data Analysis: Conduct data analysis iteratively throughout the research process. Use coding techniques, thematic analysis, or other appropriate qualitative research methods to identify patterns, themes, and relationships in the data. Allow for revisions, refinements, and further exploration of emerging insights.
11. Ensure Researcher Independence and Objectivity: Be mindful of your own biases and maintain researcher independence throughout the research process. Strive for objectivity by critically examining your interpretations, seeking alternative explanations, and engaging in peer debriefing or external review.
12. Communicate Findings Effectively: Clearly communicate your research findings, including the methodology, data analysis, interpretations, and limitations. Provide rich and detailed descriptions to support your arguments and conclusions. Consider presenting findings in a way that resonates with your intended audience, whether it be academic researchers, practitioners, or policymakers.
Learn more: What is Qualitative Observation?
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5 types of qualitative research design: a quick guide.
Home » 5 Types of Qualitative Research Design: A Quick Guide
Qualitative research designs offer unique pathways to understanding human behavior, emotions, and experiences. Unlike quantitative approaches that focus on numbers, these designs delve deeper into the subtleties of context and perspective, allowing researchers to explore complex issues. This insightful method is particularly useful for those aiming to grasp the intricate narratives that shape individuals’ lives.
In this guide, we will explore five primary types of qualitative research designs. Each type serves distinct purposes and provides valuable frameworks for gathering and analyzing qualitative data. By understanding these designs, researchers can select the best approaches that align with their goals and the specific questions they wish to answer.
Understanding Qualitative Research
Qualitative research is a powerful tool that focuses on understanding human experiences, emotions, and motivations through non-numerical data. This methodology emphasizes the richness of the data collected, making it invaluable for exploring complex social phenomena. By capturing responses in formats like interviews, open-ended surveys, and discussions, qualitative research goes beyond mere numbers, delving into the “why” behind actions and preferences.
An effective understanding of qualitative research designs involves several key aspects: the context of the study, the participants’ perspectives, and the interaction between the researcher and subjects. These elements collectively shape the findings and conclusions drawn from the research. Each design type—like interviews, focus groups, and case studies—offers unique insights and methodologies that can illuminate different aspects of human behavior. By recognizing and applying these designs, researchers can better grasp the intricacies of human experiences, paving the way for deeper understanding and improved decision-making.
Definition and Importance of Qualitative Research
Qualitative research is a methodological approach focused on understanding human behavior and social phenomena through in-depth analysis. It goes beyond numbers and statistics, seeking to capture the richness of individual experiences. This type of research often involves various qualitative research designs, including interviews, focus groups, and case studies. By prioritizing participant perspectives, researchers can uncover deep insights into motivations, attitudes, and emotions.
The importance of qualitative research lies in its ability to provide a nuanced understanding of complex issues. It allows researchers to explore topics that are difficult to quantify, revealing underlying themes and patterns . Furthermore, qualitative research plays a significant role in informing product development and improving user experiences. By tapping into the voices of participants, researchers can identify critical market needs, leading to more effective solutions and enhanced decision-making processes. As a result, qualitative research is essential for organizations looking to connect authentically with their audience.
Key Differences Between Qualitative and Quantitative Research
Qualitative research designs focus on collecting in-depth insights through observational or participatory methods. In contrast, quantitative research relies on numerical data and statistical analysis to identify trends and patterns. The primary aim of qualitative research is to explore complex phenomena and understand participants’ perspectives, whereas quantitative research seeks to quantify problems and predict outcomes based on measurable variables.
One key difference lies in the data collection process. Qualitative research often uses interviews, focus groups, or open-ended surveys to gather rich contextual data. Quantitative methods, on the other hand, utilize structured surveys, experiments, and existing data to generate figures that can be statistically analyzed. Another important distinction is in data analysis ; qualitative research identifies themes and narratives, while quantitative research relies on statistical tools to analyze relationships and derive conclusive results. Understanding these differences can enhance the application of qualitative research designs in uncovering nuanced insights.
The Five Types of Qualitative Research Designs
Qualitative research designs offer a variety of approaches to understanding human behavior and experiences. Among the five main types, the first is phenomenology , which focuses on the lived experiences of individuals. This design seeks to understand how people perceive and make sense of their situations, emphasizing their subjective experiences.
Next is grounded theory , which aims to generate a theory based on data collected in the field. Researchers gather qualitative data, analyze it, and derive theories that emerge from the participants’ realities. Then, we have ethnography , where researchers immerse themselves in a community to observe and interact with participants in their natural environment. This approach enhances the understanding of cultural contexts.
Another design is case studies , which provide an in-depth exploration of individual cases within their real-life context. Finally, narrative research focuses on the stories that people tell about their lives, allowing insights into their identities and how they interpret experiences. Each design serves distinct purposes, catering to different research questions within qualitative methodologies.
Ethnography: Exploring Cultures
Ethnography serves as a nuanced approach within qualitative research designs, focusing on the rich tapestry of human cultures. By immersing oneself in the everyday lives of participants, researchers gain insights that are not easily captured through traditional methods. This in-depth exploration allows for the discovery of social norms, values, and behaviors that define a culture, leading to a profound understanding of the subject matter.
Conducting ethnographic research involves key steps that enhance the quality of the inquiry. First, establishing rapport is essential for trust and openness. Second, participant observation enables researchers to gather authentic data within natural settings. Lastly, in-depth interviews provide personal narratives that further illuminate the cultural context under study. Through these methods, ethnography not only gathers data but also portrays the complexity of human experiences, adding significant depth to qualitative research designs. This approach enriches our appreciation of diversity and the shared human condition.
Phenomenology: Understanding Lived Experiences
Phenomenology in qualitative research focuses on understanding the essence of lived experiences. Researchers immerse themselves in individuals’ stories, aiming to capture the feelings, perceptions, and meanings that shape their realities. This approach allows a deep exploration of subjective experiences, revealing nuances often overlooked by other methods.
Within phenomenology, several key principles emerge. First, bracketing involves setting aside preconceived notions to approach participants’ insights with an open mind. Second, in-depth interviewing is crucial for collecting rich, descriptive data that reflects participants’ experiences. Third, thematic analysis helps identify patterns that reveal commonalities across different narratives. By emphasizing these elements, phenomenology fosters a comprehensive understanding of personal experiences, making it an invaluable qualitative research design.
Overall, employing phenomenology provides researchers with profound insights into how individuals interpret their experiences and navigate their world. This understanding can inform practices, policies, and theories across various fields, enhancing empathy and responsiveness to human needs.
Case Study: In-depth Analysis
Case studies are pivotal in qualitative research designs as they provide an in-depth analysis of a specific phenomenon or situation. This research method involves examining a particular case, allowing researchers to gain detailed insights that broader studies might overlook. The case study approach typically focuses on understanding the nuances, complexities, and unique aspects of the case, which might be a person, group, event, or organization.
To effectively conduct a case study, researchers often follow key steps. First, they identify the case to analyze and decide on the research questions guiding the study. Next, they collect data through interviews, observations, and document reviews. After gathering data, researchers analyze it to draw meaningful conclusions and offer contextual insights. Lastly, the findings are documented, highlighting the implications within the realm of qualitative research designs. This method ultimately enriches understanding and generates new knowledge in the field.
Grounded Theory: Building Theories from Data
Grounded Theory offers a structured approach to developing theories from qualitative data. Researchers gather extensive information through interviews, observations, and focus groups, then analyze the data iteratively. This process involves coding the data and identifying patterns, which helps in formulating concepts that explain the phenomenon under study. The dynamic nature of qualitative research designs allows researchers to modify their focus based on emerging findings, leading to richer insights.
In essence, Grounded Theory emphasizes theory building as an ongoing process. This approach provides flexibility, enabling the incorporation of new data that may challenge or expand the initial understanding. It encourages researchers to be open to the complexities of human behavior and social phenomena, fostering a deeper analysis that can yield impactful theories. By systematically analyzing data, researchers can take significant strides towards understanding and interpreting qualitative research designs effectively.
Narrative Research: Telling Stories
Narrative research allows for an exploration of personal experiences and historical contexts through storytelling, making it a rich avenue within qualitative research designs. By collecting individual stories, researchers gain insights into how participants interpret their realities, providing meaningful understanding that quantitative data often misses. This method values the human experience, revealing the complexities of individual perspectives.
In narrative research, the stories unfold through interviews, personal reflections, and written accounts. These narratives not only document experiences but also help identify themes and patterns that reflect broader societal issues. The process highlights the voice and authenticity of participants, allowing researchers to connect with the emotional elements of the subjects’ lives. Through narrative research, the intricacies of human experiences come to life, illustrating the power of storytelling in qualitative inquiry.
Conclusion: Mastering Qualitative Research Designs
Mastering qualitative research designs involves understanding various methodologies and how they can be applied effectively. Each type of design offers unique insights into human behavior and experiences. By familiarizing yourself with these qualitative research designs, you will enhance your ability to gather meaningful data that impacts decision-making and strategy development.
The journey through qualitative research is not merely academic; it is about engaging with real-world complexities. This mastery will empower you to navigate challenges, enabling you to draw valid conclusions that resonate deeply within your research context. As you develop your skills in qualitative research designs, you will find yourself more adept at uncovering the nuanced stories that shape our understanding of diverse topics.
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5 Types of Qualitative Research Methods
Qualitative research is the process of acquiring data by studying subjects in their natural habitat. The focus is on understanding the why and how of human behaviour in situations, and is defined as a scientific research method to obtain non-numerical data.
Qualitative research is subjective in nature: • Methods are designed to understand the lives of participants. • The process is maintained on neutral lines without placing judgement on individual responses. • Focus areas are cultures, societies and individuals.
Types of Qualitative Research methods:
1. Ethnography Ethnography, one of the most popular methods of qualitative research, involves the researcher embedding himself or herself into the daily life and routine of the subject or subjects. Either as an active participant or an observer, the researcher experiences their customs, traditions, mannerisms, reactions to situations etc. first hand, sometimes for years. Geographical constraints could be a hindrance for the researcher.
Example of application : This on-the-field method can help companies in assessing how consumers use certain products or services, and accordingly develop new products or revamp existing products.
2. Narrative In the Narrative method of qualitative research, the researcher gathers data or facts from one or two subjects through interviews, documents etc. over a period of time. Based on a theme, these are then pieced together (not necessarily in the same sequence) to derive answers and suggestions.
Example of application: A business can use this method to understand challenges faced by their target audience that can in turn be utilised for innovation and development of products.
3. Phenomenology The Phenomenology qualitative research method is used to study an event or activity as it happens, from various angles. Using interviews, videos, on-site visits etc., one can add on to existing information using perspectives and insights from the participants themselves about the activity or event. It is primarily an experience or perception based research method.
Example of application : Universities can rely on this method to understand how students make their choices about applying to universities/colleges.
4. Grounded Theory Grounded theory starts with a question or collection of data. Through systematic data collection and analysis, repetitive ideas or elements are coded, and codes are grouped or categorised. New theories may be formed based on these categories.
Example of application : A product-based company can use this method to understand how their customers use their products or individual features of their product or products.
5. Case study The case study method is used to gather in-depth and detailed information about a subject, which could be any entity, organisation, event or something larger like a country. The nature of this qualitative research method can be explanatory or exploratory.
Example of application : For a business, case studies are a useful tool to formulate strategies, understand influences, devise new methods etc.
With open-ended questions, qualitative research methods produce results that are descriptive and inferences that are useful in breaking down complex problems into simpler components. The onus is on the researcher – he or she can change the course of the research based on the responses from or observations of the subjects.
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Nov 3, 2021 · To perform qualitative research, you must choose at least one research design approach that fits your topic. It is not uncommon for a researcher to employ more than one approach throughout their study. Here are five common design approaches: 1. Historical Study.
In Table 4.1, we present four dimensions for distinguishing among the founda-tional considerations for the five approaches. At a most fundamental level, the five differ in what they are trying to accomplish—their foci or the primary objectives of the studies.
Oct 13, 2015 · A popular and helpful categorization separate qualitative methods into five groups: ethnography, narrative, phenomenological, grounded theory, and case study. John Creswell outlines these five methods in Qualitative Inquiry and Research Design.
Jul 7, 2023 · Select the most appropriate qualitative research approach or design based on your research question and objectives. Consider the different types of qualitative research designs (such as phenomenology, ethnography, and grounded theory) and choose one that aligns with your research goals.
Sep 28, 2021 · Types of qualitative research to explore social behavior or understand interactions within specific contexts include interviews, focus groups, observations and surveys. These identify concepts and relationships that aren’t easily observed through quantitative methods.
In this chapter, we begin our detailed exploration of narrative research, phenomenology, grounded theory, ethnography, and case studies. For each approach, I pose a definition, briefly trace its history, explore types of stud-ies, introduce procedures involved in conducting a study, and indicate poten-tial challenges in using the approach.
Jan 1, 2016 · The Five Qualitative approach is a method to framing Qualitative Research, focusing on the methodologies of five of the major traditions in qualitative research: biography, ethnography,...
Mar 25, 2024 · Qualitative research is a non-numerical method of data collection and analysis that focuses on understanding phenomena from the perspective of participants. It prioritizes depth over breadth and aims to explore the “why” and “how” behind human behaviors and social phenomena.
In this guide, we will explore five primary types of qualitative research designs. Each type serves distinct purposes and provides valuable frameworks for gathering and analyzing qualitative data. By understanding these designs, researchers can select the best approaches that align with their goals and the specific questions they wish to answer.
Qualitative research is the process of acquiring data by studying subjects in their natural habitat. The focus is on understanding the why and how of human behaviour in situations, and is defined as a scientific research method to obtain non-numerical data.