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Psychology
Psychological Research Methods
Qualitative Research Methods
Characteristics and Purpose
Naturalistic Inquiry
Understanding phenomena in their natural context
Emphasizes meanings and experiences
Contextual Sensitivity
Focus on the environment and social settings
Interpretation based on cultural and temporal settings
Exploratory Approach
Open-ended research questions
Generating hypotheses rather than testing them
Emphasis on Subjectivity
Acknowledges researcher's influence on the process
Values participants' perspectives and narratives
Common Methodologies
Grounded Theory
Developed through data collection and analysis
Constant comparative method for generating theories
Ethnography
Immersive observation in cultural or social groups
In-depth descriptions of cultural practices
Phenomenology
Study of lived experiences
Aims to reveal the essence of experiences
Narrative Research
Collection of personal stories and life histories
Analysis of how individuals impart meaning through storytelling
Thematic Analysis
Identification of patterns or themes within qualitative data
Involves coding and categorizing data iteratively
Case Study Research
In-depth examination of a single case or multiple cases
Can be exploratory, explanatory, or descriptive
Data Collection Techniques
Interviews
Structured, semi-structured, and unstructured formats
One-on-one and in-depth conversational methods
Focus Groups
Group discussions to explore collective views
Moderation and facilitation techniques
Document Analysis
Examination of existing documents and textual materials
Incorporates historical, policy, and personal documents
Observations
Participant and non-participant observation
Real-time and recorded observations of behaviors
Coding and Analysis
Coding Techniques
Initial, axial, and selective coding practices
Identifying and grouping similar data segments
Analytical Approaches
Thematic, narrative, and content analysis methods
Interpretative phenomenological analysis (IPA)
Software Tools
Use of qualitative data analysis software (e.g., NVivo, ATLAS.ti)
Advantages and limitations of digital analysis tools
Ensuring Quality
Credibility
Member checking for validation
Triangulation of data sources
Transferability
Thick descriptions for enhanced applicability
Cross-contextual analysis
Dependability
Audit trails and detailed documentation of research process
Peer debriefing to improve research reliability
Confirmability
Reflexivity and researcher reflection
Clear distinction between data and researcher bias
Advantages
Rich, deep insights into complex phenomena
Flexibility and adaptability in research design
Facilitates understanding of social processes and interactions
Provides a voice to marginalized or understudied groups
Limitations
Time-consuming data collection and analysis procedures
Challenges in achieving objectivity and generalizability
Potential researcher bias and subjectivity
Limited replicability due to contextual nature of findings
Ethical Considerations
Informed Consent
Addressing consent in informal and ethnographic settings
Ensuring understanding and voluntariness in participation
Anonymity and Confidentiality
Safeguarding participant identities and sensitive information
Considerations for digital and textual data
Power Dynamics
Being aware of and addressing power imbalances between researcher and participants
Collaborative and participatory methods as empowerment strategies
Representation and Misinterpretation
Careful interpretation and representation of participant voices
Ethical reporting and dissemination of findings
9. Mixed-Methods Research
First Page
11. Reliability and Validity in Psychological Research