Used to explore human experiences and situations by using in-depth approaches that employ non-statistical methods of analysis
Qualitative research (Interpretive)
Focused on human experience
Attempts to understand experience from the perspective of the research participant
Conducted in natural settings
Allows close contact between the researcher and research participants
Recognises the existence of multiple realities
Outcome (report) of qualitative research
Rich and descriptive
Why qualitative research
To understand human experiences
To help to make sense of human reality and the social world
To develop rich description and theory
To avoid pre-judgements
Qualitative research in nursing
Developing holistic understandings of people and responses to their experiences
Making changes in nursing practice, policy, education or management
Improving healthcare delivery
Providing insight into a little known human phenomena/human experience within the context of health and illness situations
Build theory
Phenomenology
A methodology uncovering thoughts, perspectives, understandings, feelings and behaviours from the perspectives of the person
Goal: to develop an understanding of human lived experiences
In the context of healthcare: to explore and understand the meanings of health, illness, disability and disease
Phenomenology questions
What is it like to experience...?
What are your experiences of being...?
Grounded Theory
Developed by Glaser and Strauss in the 1960s
Aim: to examine processes and inter-relationships among concepts to develop theory
Focus: social processes & meaning (explanation of human action and interaction)
Used when little study done in the area to find new understandings or perspectives on unknown or unclear phenomena
Ethnography
A study of cultures or subcultures, originated in the field of anthropology
Aim: to understand the culture of a group of people
Focus: on group interactions and activities (cultural phenomenon) rather than on individual behaviors
Insider as well as outsider perspective (emic/etic interpretations)
Researcher often participant observer-embedding within culture (fieldwork)
Time taken to establish trust
Case study
An in-depth examination of a particular phenomenon, issue or event within a real-life context
Enables a detailed examination of a single case or unit
Used to look at individuals, a small group of participants, or a group as a whole
In health research, often used to look at what happens when a person has a certain disease
Qualitative descriptive research
A more specific approach within the naturalistic paradigm
Goal: to describe a phenomenon and its characteristics and provide a comprehensive summary of events
Used when straight description is desired
Remain close to the data: move away from methodology or specific theoretical positioning
Description always depends on the study participants' perspective or perception
Rich narrative data
Qualitative research methods with examples
Descriptive exploratory
Phenomenology
Grounded Theory
Ethnology
Historical
Case Study
Action Research
Phases and steps of the research process
1. Phase 1: conceive the study
2. Phase 2: design the study
3. Phase 3: Conduct the study
4. Phase 4: Data analysis
5. Phase 5: Use the study
Qualitative sampling techniques
Purposive
Convenience
Snowball
Intensity sampling
Types of Qualitative data
Historical documents
Life history and personal narratives
Diaries, photographs, videos
Letters and personal documents
Official documents and records
Official databases (quantitative and qualitative)
Teacher/Student stories
Data collection methods
Participant observation
In-depth interviews
Focus groups
Use multiple methods for data collection in the same study
Data analysis process
1. Data immersion
2. Content analysis
3. Thematic analysis
4. Narrative analysis
5. Discourse analysis
In quantitative research, data analysis is completed before writing results. In qualitative research, data analysis may be continuous with data collection & writing of results.
Rigor/Trustworthiness
Credibility
Auditability
Transferability
Confirmability
Differences between quantitative and qualitative research
Objective vs Subjective
Numerical vs Non-numerical information
Partial vs Complete picture of phenomena
Researcher at 'arm's length' vs Researcher immersed
Validity/reliability vs Trustworthiness/rigor
Deductive vs Inductive
Time usually important vs Time not usually important
Control vs No/little control
Probability sampling vs Non-probability sampling
Data collection and analysis completed before writing results vs Data collection and analysis may be continuous with data collection & writing of results