Course: PSYC224 - Week 18Instructor: Dr. Samuel Finnerty
Thematic Analysis as a Research Method: An exploration of the theoretical underpinnings, methodologies, and specific steps involved in conducting thematic analysis effectively.
Understanding Friendship: An in-depth examination of existing themes within the research literature regarding friendship, focusing on development, quality, and contextual factors influencing interpersonal relationships.
QSR Nvivo Software: Training in the use of QSR Nvivo for coding qualitative data, focusing on effective retrieval and analysis of qualitative information relevant to research questions.
Software Proficiency: Develop the ability to use QSR Nvivo software confidently to code qualitative data accurately.
Thematic Analysis Understanding: Gain a comprehensive understanding of the steps and critical concepts that underpin thematic analysis.
Participants’ Experiences: Cultivate a deeper understanding of the nuances in participants' experiences and their subjective interpretations of friendship.
Employ effective interviewing techniques to elicit rich, detailed narratives and gain insights.
Identify strengths, weaknesses, and opportunities for improvement in the interview technique.
Consider how adjustments in method or additional prompts could enable more effective data collection.
Systematically analyze interview data to uncover what participants reveal about friendship, focusing on surprise elements or unexpected patterns.
strengths of the interview
how they can be improved
what would you do differently
what does the interview tell you about friendship
Is there something you haven’t considered before
Central Question: How do young adults experience and understand friendship? This question aims to illuminate the perceptions and significances of friendship among the cohort studied.
Utilize coding of interview data to identify prevalent patterns, themes, and variations that directly relate to the research question on friendship.
The thematic analysis involves systematically identifying, analyzing, and reporting patterns within qualitative data, providing a framework for interpreting the meanings behind participants' experiences and perspectives on friendship.
Source: Braun and Clarke (2006)
Purpose: To facilitate the identification and reporting of significant patterns (themes) found within qualitative data, enhancing comprehension of the data's meaning in the context of the research question.
Theme: A theme is defined as a patterned response within the dataset that captures significant data relevant to the research question, providing insight into the underlying narratives.
Types of Themes:
Semantic Themes: These are explicit and clearly expressed within the data.
Latent Themes: These themes are more implicit, requiring interpretative analysis to uncover their significance.
Thematic Categorization Methods:
Inductive (data-driven): Themes emerge directly from the data without preconceived notions.
Deductive (theory-driven): Themes are derived from existing theories and frameworks.
Thematic analysis does not adhere to one fixed philosophical framework; it can adopt either a realist stance that assumes a singular reality or a social constructionist approach that recognizes multiple subjective realities.
Importance: Transcribing interviews is crucial to ensure accuracy in data representation.
Tip: Keep a project notebook to jot down initial thoughts and ideas for coding and themes as the analysis unfolds.
Identify features of the data that are relevant to the research questions.
Aim for a comprehensive coding strategy that preserves context while capturing diverse aspects of the data.
Organize codes into coherent themes and analyze relationships between the identified codes.
Use visual aids such as tables or mind maps for better understanding and organization of themes.
Ensure each theme has internal coherence and identifiable differences from other themes.
Level 1: Check consistency of data extracts within each theme.
Level 2: Validate the themes against the entire dataset to ensure they accurately represent the findings.
Establish a narrative structure for each theme, determining the interrelations among themes.
The naming of themes should reflect creativity and a thoughtful interpretation of the data.
Parker and Asher (1993): Developed the Friendship Quality Questionnaire (FQQ), which comprises 40 items that are categorized across six key sub-scales assessing various dimensions of friendship quality.
Parks & Floyd (1996): Identified levels of development in friendship through 43 items across seven sub-scales: Interdependence, Breadth, Depth, Understanding, Commitment, Network Convergence, and Code Change.
Glover, Galliher & Crowell (2015): Analyzed the nature of young women's passionate friendships, identifying five key themes that characterize these relationships:
Friendship Characteristics
Relationship Importance
Intimacy
Problem Areas
Friendship Status(Note: The themes generated from interview questions do not fit the format for inductive analysis.)
not a good study to look at the nuances of friendship dynamics, as it fails to capture the complexities and varying degrees of intimacy that exist within different relationships.
Salmon (2013): Conducted a study on friendships among disabled teens, focusing on stigma and revealing four themes:
Contesting Normative Expectations of Friendship
Coming Out as Disabled
Connecting through Stigma Experiences
Choosing Self-Exclusion(Note: This study serves as a prime example of inductive thematic analysis.)
Review all transcripts to update interview schedules and refine data collection methods as necessary.
Engage in careful reading and re-reading of interviews; prepare the data set for an in-depth coding process.
Initiate the coding process with an emphasis on defining codes carefully and being mindful of overlaps among them.
Relate and analyze how the various codes might connect and interact with one another, seeking comprehensive insights into their interrelationships.
Look for overarching patterns that elucidate the psychological importance of friendships, contributing to the broader understanding of this phenomenon.
Create thematic names that reflect deeper psychological insights, ensuring each theme adequately addresses the overarching research question.