qualitative analysis and design Flashcards

1
Q

what is the distinction between big questions and little questions

A

Little q:
-Uses qualitative techniques within a traditional quantitative framework (e.g., categorizing responses).
- incorporates non numerical data collection into hypothetico-deductive research design

Big Q:
- Open-ended, participant-led research aimed at generating theories and exploring meanings rather than testing and measuring theories

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

what is hypothetico-deductive

A

= the basis of mainstream experimental psychology, deriving hypothesis and testing them, collecting data and measuring something to accept or reject the null hypothesis
- little q incorporate this

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

what is epistemology?

A
  • is the branch of philosophy concerned with the theory of knowledge
  • how and what we can know (what is possible)
  • examines the nature, origins and limits of knowledge
  • Researchers must be clear about their research objectives and epistemological stance
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

waht are the three types of knowledge in qualititive research

A
  1. realism
  2. phenomenology
  3. social constructism
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

explain realism and realistic knowledge

A

the realist perspective as the researcher:
- Detective—aims to uncover an objective/true reality.
- reflects with truth that there is something happening in the real world and that exists independently of the researcher/participants views or knowledge about it

assumptions:
-The world follows identifiable patterns and structures and this can be understood
-Knowledge exists independently of the researcher.- the truth will always be there whether the study is conducted or not
-Research uncovers objective truths.
- Certain processes or structures underlie the behaviour/thinking of research participants, and they can be identified and conveyed by the researcher

example questions:
- what happens when someone joins a group (what actually happens, what they do,say)
- How does a person with panic attacks on public transport plan a journey?

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

explain phenomenology and it’s knowledge

experienctial knowledge

A

role of the researcher:
Counselor—aims to understand lived experiences.
- understanding what the world is like for the participant

assumptions:
- Knowledge exists within personal/lived experience.
-The world is understood through consciousness. (intentionality)
-Research captures subjective experiences without judging accuracy of their accounts (rather than the social or psychological patterns or proccesses that underpin or shape the subjective experience as a realist does)

example questions:
- How do students experience exams?
-What do young people experience during counseling?

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

explain social constructionism

constructed knowledge

A

role of the researcher:
Architect—aims to explore how reality is socially constructed.
- interested in how people talk about the world and therefore how they construct versions of reality through the use of language rather than what is going on or how it is experienced

assumptions:
- Knowledge is created through social interactions and language.
-Meanings are collectively agreed upon with others and can change over time.
- Ideas or concepts constructed within human society would not exist without the people who validate them and the language that they use to do so

example questions
- What is “family,” and how does it vary across cultures?
- How has the concept of childhood evolved over generations?

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

describe interviews as a method of data collection

A

Definition: A structured conversation with a purpose.

Key aspects:
-Requires participants who are willing and able to share.
-Uses an interview schedule to guide questions.
-Ethical concerns, including researcher-participant relationships.
-Recorded and transcribed word-for-word.
-Reflexivity—researcher must be aware of their influence, focus must remain on participant)

Evaluation:
Advantages: In-depth detail, flexible, personal insights, specific focus, easier to transcribe, allows reconstruction of events, allows for longitudinal research

Disadvantages: Time-consuming, potential researcher bias, less naturalistic, overused, interaction ignored, set agenda

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

describe focus groups as a method of qualititave research

A

Definition: A recorded group interview with 6-10 participants and a moderator.

Key aspects:
-Examines opinions in a social setting.
-Studies how group discussions shape individual viewpoints. (group dynamic)
-Can be conducted online or face-to-face.
- discussion of a specific issue

Evaluation:
Advantages: Captures group dynamics, efficient data collection, naturalistic

Disadvantages: Dominant voices may overshadow others, potential peer pressure and discomfort, researcher has less control, more difficult to transcribe, tendency for more agreement that disagrement (going along with others)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

use of diaries in data collection

A

Definition: A record of experiences over time by participant, completed at specific intervals or in response to events with clear instructions

Evaluation:
Advantages: Captures real-time personal accounts and events as they happen

Disadvantages: Potential for incomplete data, drop-out rates, is it a true reflection?

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

web based data as a data colelction method

A

Definition: Data collected from online sources (e.g., forums, social media).

Evaluation:
Advantages: Anonymity, large sample size and volume of data

Disadvantages: Ethical concerns (consent issues), potential bias, unrepresentitive sample (certain groups of people), trustworthiness( anyone can write anything)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

archival data as a data collection method

A

Definition: Media and text-based sources (e.g., news articles, historical records).

Evaluation:
Advantages: Less researcher bias, access to historical data, wide variety of sources

Disadvantages: Requires extensive analysis to understand the data , may not directly address research questions.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

key terms from lecture 1 summarised

A

Epistemology: The study of knowledge and how we come to know things.
Realism: The belief that knowledge reflects an objective reality.
Phenomenology: Focuses on individuals’ subjective experiences.
Social Constructionism: Views knowledge as socially and culturally constructed.
Data Collection: Methods used to gather qualitative data, such as interviews and focus groups.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

steps of data collection

A
  1. research question
  2. data collection
  3. narrative
  4. pattern based analysis
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

what are the 6 steps when conducting thematic analysis

A
  1. Familiarisation: Read & immerse in the data.
  2. Coding: Break data into meaningful units.
  3. Generating Initial Themes: Identify patterns.
  4. Developing & Reviewing Themes: Refine and check for coherence.
  5. Defining & Naming Themes: Capture core meanings.
  6. Writing Up: Report findings with supporting data.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

the use of transcription in preparing the data for analysis

A

Orthographic: What is said & who speaks.

Jeffersonian: what is said and how it is said (includes laughter, pauses, overlaps).

Anonymity: Use pseudonyms(fake name)

Software can assist, but it’s not perfect.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
17
Q

what are the 4 different methods of analysis

A
  1. thematic analysis
  2. grounded theory
  3. discourse analysis
  4. interpretive phenomenological analysis (IPA)
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
18
Q

describe the basic principles of the thematic analysis

A

A flexible qualitative research method developed by Braun & Clarke (2006).

Not completely atheoretical (must align with a research position, can’t just do what you like).

Provides a gateway into qualitative analysis for beginners.

Focuses on conceptual coherence (ensuring research design elements align).

Reflexive Thematic Analysis: Researcher acknowledges biases in interpreting data.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
19
Q

the two different orientations to the data in thematic analysis

A
  1. Inductive (Data-Driven): No pre-existing theory, patterns emerge from data, look at data and see what you find
  2. Deductive (Theory-Driven): Guided by an existing theoretical framework, looking for something specific which is pre-determined
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
20
Q

the two different focuses of meaning in thematic analysis

A

Semantic vs. Latent:

Semantic: Focuses on explicit meanings, at a surface level

Latent: Unpacks underlying or implicit meanings.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
21
Q

the two different qualitative frameworks in thematic analysis

A
  1. experiential = aims to explore peoples perceptions and understandings
  2. critical = interrogating/unpacking meaning around a topic or issue
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
22
Q

the two theoretical frameworks in qualitative analysis

A
  1. realist = capture truth and reality as expressed in dataset
  2. phenomenological; constructivist = interrogate and unpack realities expressed within dataset
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
23
Q

Reflexivity in Thematic Analysis

A

Researchers must examine their own position/feelings/motives and how it influences their interpretations of the data

  • not basing thinking on assumptions/ values/ experiences
  • thinking about where the researcher places themselves in relation to the topic
  • identifying how they might be connected to self
  • Questioning own position on the topic.
    -Understanding participant perspectives.
    -Identifying assumptions about groups in society.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
24
Q

phases one and two of thematic analysis

A

= familiarisation and coding

  • re-read and take notes, identifying what is interesting about the transcript
  • are we coding based on an existing framework or data-derived?
  • organise these codes, can use software here
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
25
phases 3 and 4 of thematic analysis
= Generating, developing, reviewing themes - turning codes to potential themes - does this tell us something meaningful? -How does it relate to other potential themes? -How does the theme contribute to the overall story of the data?
26
what is a theme in thematic analysis
= a central organising concept within your data
27
phase 5 of thematic analysis
= defining themes - summarise the essence of the theme - select quotes to illustrate each theme (relate to RQ) - write a narrative about the content and meaning of the data - analysis must answer research question
28
what are the basic principles of grounded theory
Developed by Glaser & Strauss (1967). Bottom-up approach → Theory emerges from data (Inductive). No predefined theory guides analysis or preconceptions from the researcher - aims to obtain a theory from the data - codes reflect the literal text and categories are conceptualised
29
the cyclical process of grounded theory in steps
1. Data Collection 2. Coding 3. Theoretical Sampling (Selecting data based on emerging findings) 4. Theory (Cycle repeats until no new insights or information is found = theoretical saturation). - stop interviewing participants as nothing new is coming out of it
30
Rennie's grounded theory
David Rennie (1990s) applied Grounded Theory to psychotherapy focusing on the moment by moment experiences of clients in therapy or interviews guided by recordings(paused, replayed) Key Features: - Line-by-line coding (literal text) where data is identified as belonging to an earlier code or assigned a new one - Constant comparative analysis - Hierarchical categorisation of themes/categories - a given unit of text is assigned to as many meanings as the researcher sees in it - end product of the process is a new theory being generated
31
Rennie's client deference finding using grounded theory analysis
- client deference = refers to the tendency of psychotherapy clients to defer to the therapist's authority, guidance, or interpretations, rather than asserting their own views or perspectives. - Rennie found this through grounded theory analysis - emerged as a major category - instances of this were coded, constant comparative analysis revealed more cases, and it reached saturation, with the end point being the theory of client deference - highlights the power dynamics in therapy -Shows how clients may suppress their own insights in favour of the therapist’s views. -Calls for therapists to be aware of and minimize unintentional influence over clients.
32
what are the key principles of interpretive phenomenological analysis (IPA)
People are "self-interpreting beings" (Taylor, 1985) → Experiences are uniquely interpreted. Sense-making is central to human experience & action. Dual Aim: 1. Explore lived experiences in depth. 2. Examine how individuals make sense of their experiences. Research is dynamic → The researcher is actively involved in interpreting data.
33
nomothetic vs idiographic research
nomothetic: - attempts to generalise to people - uses objective knowledge - based on numerical data or data that can be categorised idiographic: - focuses on recognition of uniqueness - uses subjective experiences - based on study of uniqueness of individual
34
the theoretical underpinnings of IPA: phenomenology
- Concerned with how experiences appear to individuals. - Focuses on perceptions & interpretations of objects and events rather than objective facts. Contrasts with: -Scientific/objective descriptions of events. -Pre-existing conceptual frameworks or scientific criteria
35
describe the basic principles of IPA
Inductive approach → Data-driven, bottom-up, rejects pre-set hypotheses in favour of open ended questions. Idiographic focus → Examines individual lived experiences and how they make sense of them rather than generalising. Agency & Meaning-Making → Individuals actively interpret their world. Researcher Involvement → The researcher’s interpretation is unavoidable and part of the process. (interpreting what they hear)
36
example research questions in IPA
How do people come to terms with the death of a partner? How does a woman’s identity change during motherhood? What influences the decision to stop therapy?
37
what is the focus of the research questions in IPA
Open-ended → Aims for rich, detailed descriptions rather than hypothesis testing. Focuses on significant life issues, such as: Identity & sense of self Emotions & life transitions Reflections over time - answers are not generalisable to others who have went through the experience - could not get the outside perspective of someone who has not experienced it
38
sample size in IPA
Small (1-6 participants) due to idiographic, case-by-case analysis. - but we don't necessarily need more than one Number of cases depends on: Depth & richness of individual cases.(how willing are they to share in depth) Need for comparison/contrast of cases Practical limitations. (realistic circumstances) commitment of researchers level of analysis
39
data collection methods in IPA
Semi-structured interviews → Guided by a flexible set of questions. Participants must be open & willing to share in-depth reflections. Focus on lived experience while acknowledging external influences on that experience
40
summary of the key aspects of IPA
Personal & Interpretative → Individuals reflect on their experiences and interpret them in interview, and researchers analyse those interpretations. Case-by-case analysis → Each case is studied individually before looking for patterns. Creative Process → Researcher’s role in interpretation is valued. Reveals meaning-making processes → How experiences impact identity.
41
describe the IPA data analysis process
Step 1: Identifying Themes (First Case Approach) -Read & re-read the transcript multiple times. -in the left margin: Note summaries, associations, interpretations - first impressions of transcript -Right margin: Identify potential themes.- don't need to be definitive yet Step 2: Creating Theme Clusters -Look for connections between potential themes. -Group themes into super-ordinate categories. -Table of master themes → Ensures themes are grounded in participant data. -Use direct participant quotes to support findings and reduce researcher bias.
42
what are the key principles of discourse analysis
Focuses on both written & spoken language in social context. - was first introduced by Potter & Wetherell (1987) Social Constructionist Approach → Language constructs reality, not just reflects it. Not just what is said, but: How it is said When it is said how something is communicated Context in which it is said Less concerned with themes → More about how people interact through language.
43
describe the process of discourse analysis
1. Data Collection Listening & Reading carefully → Observe patterns in communication. 2. Coding Identify repeated words, phrases, and structures. 3. Analysis Focus on how discourse constructs meaning. Examine functional & constructive aspects of speech and writing.
44
what is social constructionism
= is a theoretical perspective that suggests that our understanding of reality is shaped through social interactions, language, and culture, rather than existing as an objective truth. - DA is often based on social constructionism, as it studies how language constructs and reinforces social meanings rather than simply describing reality. example: Gender → Instead of being purely biological, ideas about masculinity and femininity are shaped by cultural and social expectations.
45
what is ethics in research
Ethics is the philosophical study of what is morally right and wrong and involves systems of accepted beliefs to guide behavior. The British Psychological Society (BPS) provides frameworks for ethical conduct: Code of Ethics and Conduct Code of Human Research Ethics
46
describe the Unique Ethical Challenges in Qualitative Research
1. Dealing with Personal Accounts: In qualitative research, the data often come from personal stories and lived experiences, which are sensitive, private, and more intrusive. 2. Confidentiality and Anonymity: Achieving confidentiality and anonymity can be difficult, especially when the data is directly linked to personal narratives. 3. Researcher-Participant Relationship: Qualitative research emphasizes the interaction between researcher and participant. The ethical consideration is the effect of the researcher’s presence and influence, making it challenging to maintain objectivity. 4. Sensitive Data: The data is often sensitive and personal, raising ethical concerns about how it is handled and interpreted.
47
ethical issues for qualitative research
Respect for Privacy: Researchers must ensure that participants’ privacy is respected. Honest and Open Interactions: Establishing trust and openness with participants is crucial. Avoiding Misrepresentation: Researchers should ensure accurate representation of participants’ views and avoid bias.
48
what are the BPS 4 primary ethical principles
Respect: Value the dignity and worth of all persons. Competence: Maintain professional standards and work within own limits - does the researcher have the capabilities and knowledge Responsibility: Protect the welfare of individuals, the public, and the profession (avoid harm). Integrity: Ensure honesty, accuracy, and fairness in research.
49
what are the BPS human research ethics
Respect for Autonomy, Privacy, and Dignity: Ensure participants’ rights and dignity are upheld. Scientific Integrity: Conduct research with honesty and methodological rigor. Social Responsibility: Consider the broader societal impact of research. Maximizing Benefit and Minimizing Harm: Research should aim to provide value while minimizing potential harm.
50
Evaluating the Quality of Qualitative Research
Challenges in Evaluation: Since qualitative research involves various methods and perspectives, there isn’t a single framework for evaluating quality. Frameworks and Standards: Various sets of standards have been proposed, but there is debate about the best way to evaluate qualitative research. how do we decide what makes a good study? how do we select appropriate criteria to evaluate? how can we establish guidlelines for evaluating research?
51
what are Yardley’s Core Principles (2008) for Evaluating Qualitative Research
1. sensitivity to context 2. commitment and rigour 3. coherence and transparency 4. impact and importance
52
describe the first of Yardley's core principles for evaluating the validity of qualitative research
sensitivity to context: -Ensuring the research is sensitive to the data, context, and relationships involved. -The researcher should engage with the data deeply, considering how their presence and actions influence the research. -Reflect on the power balance between researcher and participant, especially in sensitive contexts like with children - considering the nature of the researcher's involvement - prolonged engagement with data - considering how the data came into being - being aware of how you as the researcher is perceived by the participants - considering the influence of the researcher on particpants actions
53
describe the second of Yardley's core principles for evaluating the validity of qualitative research
commitment and rigour: -Research should demonstrate commitment to the process, with thoroughness in analysis to uncover new insights. -A rigorous approach to data analysis should allow for in-depth exploration of the research topic. - is there sufficient breadth and depth in order to deliver additional insight into the topic - commitment to the use of a specific technique for analysis - does the analysis and design allow them to achieve answers with enough depth - researcher needs to understand the approach they are taking
54
describe the third of Yardley's core principles for evaluating the validity of qualitative research
coherence and transparency: - Ensure coherence between the research question, methodology, and analysis approach. (consistency) - Researchers should be transparent about methods and analysis, providing sufficient detail so others can assess their work. - Presenting data excerpts allows readers to understand how conclusions were reached.(evidence) - is every aspect of the process discussed - been transparent enough to justify choices that were made
55
describe the fourth of Yardley's core principles for evaluating the validity of qualitative research
impact and importance: -The research should aim to answer significant questions that build on existing knowledge. -Good qualitative research has an impact on understanding the topic and benefits society by addressing meaningful issues. - asking 'so what?' - why is it of interest, what will be benefit from it - if there is no importance -> waste of participants time if no additional knowledge is gained
56
what did Braun & Clarke (2025) discuss?
Instead of rigid criteria, they suggest guidelines to ensure methodological congruence and reflexive transparency. Researchers should ensure their work aligns with Big Q (qualitative frameworks) rather than trying to fit into predefined quantitative criteria (Small q).
57
importance of cosidering positions of social privilege and marginality as a researcher
When acting in the role of researcher, we have control over many decisions and can be in quite a powerful position (in comparison to our participants!) Who we are and what values we hold can influence some of the research processes such as: -What methods we may prioritise choosing -how we interpret results, -how well we build rapport (or not with participants), -how likely we are to ask the ‘right’ questions of our participants, -how well we represent what our participants actually said (and meant) To better manage this influence and potential for power imbalances we ideally want to engage in ‘private’ reflexive practices such as journaling/diary keeping. We can even disclose relevant positions we have as part of a positionality statement.
58
describe ways a researcher can build reflexivity into their research practise
- writing a positionality statement - make your methodological decisions transparent in the write up- even share early analyses with participants - keeping a diary on onenote - speaking to your team of researchers/supervisor about your reflections/ decision making
59
examples of qualatitive sources
- interviews/ case study - focus groups - free open texts - printed media - internet social networks - diaries - visual methods - archive open data
60
key aspects of confidentiality in qualatitive research
- change names - judge what detail to include - data management practises - member validation - is a technique where researchers share their data, analyses, and interpretations with participants to ensure the accuracy and credibility of the findings. - open science tensions
61
discuss open science and qualitative methods
- calla for the routine preparation of and subsequent sharing of research data in publicly available places - can include UK data service, UK data archive positives: - transparency, efficient, sustainable, prevents replication or over burdening vulnerbale groups negatives: - issues of confidentiality, informed consent, preparing data, limit on building any relationship with participants, suitability of data to research question, context? - primary data colection does not need to be the default, we can consider what exisiting data could be used and the limits/constraints from these data sources
62
challenges with interviews for data collection
- social desirability - close proximity- ethical sensitivity, trigger issues - importance of interviewer not to lead, deductive avoidance - emotionally taxing topics -> do not avoid distress or unease - time consuming
63
what are key points for a qualitative paper to include
- rationale for qualitative focus - research question(s) - epistemological alignment - showcasing your quotes (evidence) - being upfront about the limitations of your research
64
what does the writing up phase on thematic analysis include
- weaving together the analytic narrative and data extracts, contextualising the analysis in relation to existing literature
65
how to construct the narrative in thematic analysis
data in the writing up stage would consist of: - list of final themes - participant quotes to support themes - analysts narrative to enable themes and quotes to be integrated in a coherent, effective, accessible and authentic way (what do the themes imply, interpreting the individuals stories)
66
essentialist vs constructionist paradigms | which thematic analysis is both compatible with
Essentialist Paradigm Assumes that reality is objective and exists independently of human perception. Believes that categories, identities, and experiences have inherent, fixed meanings. Views language as a neutral tool for describing reality. Aims to uncover underlying truths that are stable and universal. Typically aligns with positivist or realist traditions in research. If studying gender, an essentialist approach might assume that men and women have inherent psychological and biological differences that explain their behavior. Constructionist Paradigm Assumes that reality is socially constructed through human interactions and cultural norms. Believes that meaning and knowledge are shaped by social, historical, and political contexts. Views language as active and shaping reality, not just describing it. Rejects the idea of fixed truths, emphasizing fluidity, subjectivity, and context. Often aligns with interpretivist, critical, or postmodernist traditions in research. A constructionist study on gender would focus on how societal norms and discourse shape gender roles, rather than assuming inherent biological differences.
67
semantic vs latent themes
semantic = explicit level, close description basedon what participant said, data driven, realist - RQs focus on the what latent = pushes more towards interpretive, constructionist to explore underlying meaning, language, ideas, researcher driven RQs focus on the how
68
bringing together the narrative of thematic analysis
1. introduce each theme, describe what each one represents 2. in depth evidence of themes - quality of quotes over quantitiy 3. explain why quotes are relevant, importsnt, meaningful 4. mention pseudonymn names when stating quotes 5. notice where you can extend into latent analysis " it can be inferred that"