Research skills Qual Flashcards

1
Q

What is deductive and inductive reasoning

A

Deductive - top down - driven by specific research question - uses pre determined codes
Inductive - bottom up - free from determined hypothesis - codes are starting point to conclusion - data to conclusion

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2
Q

History of psychology, what did they do
William Wundt
Lawrence Kohlberg
Abraham Maslow
John Flanagan

A

WW - first psych lab at uni of Leipzig 1897
Founding father
Saw qual as equally important as lab

LK - new field focusing on moral development and utilised qualitative methods

AM - hierarchy of needs, self actualisation

JF - critical incident technique

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3
Q

Define theoretical perspectives ontology and epistemology

A

Ontology - study of existence, what is real

Epistemology - study of knowledge, what we know

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4
Q

List differences between quantitative and qualitative

A

Quant:
numbers, statistical sampling, physical sciences, objective, cause and effect

Qual:
words, understanding, purposive sampling, social sciences,

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5
Q

List characteristics of qualitative methods

A

Contextual - can use ethnology, fully immerse self into context whilst data collecting
Hypothesis generating - generates new hypothesis rather then tests
Thick description - full of feelings, meaning, descriptions
Flexible - can probe and follow up and/or divert

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6
Q

Define generalisability and transferability

A

Generalisability - extent to which can generalise the findings of a study to the entire populations

Transferability - extent to which we can transfer the findings in a specific context to another similar context

Qual research prefer transferability then generalisability

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7
Q

6 steps in qual research journey

A

Define research problem - ideally topic that interests, identifying research, chosen pop and what want to research
Study design
Data collection
Data management
Data analysis
Write up

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8
Q

Functions of literature review

A

Up to date understand of a subject
Helps identify significant issues and themes for issues
Particularly where there is a gap for knowledge
Inform the research question
Make comparison to research finding

Need to assess accuracy and reliability

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9
Q

3 things research question should identify

A

Phenomenon studying
Chosen population
What want to find out

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10
Q

What are 3 main sampling techniques

A

Convenience sampling - sample being drawn from part of population close

Purposive sampling - identification and selection of those well informed. Often focus on data saturation, recruit till nothing new being identified

Snowballing sampling - existing participants recruit further participants from among acquaintances

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11
Q

What are the two main views on ethics

A

Universalistic - ethical principles should never be broken
Breaking is morally wrong and damaging to social research
Means do not overlap with ends

Contingent/relativistic - duties to particular countries, groups, clients
Acts should be judged purely on possible outcomes
Ends justify means

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12
Q

What is the Four Component Model by rest 1982
Describe

A

That ethical thinking is not a unitary construct but can be viewed as progressing through number of stages

Ethical sensitivity - interpreting situation, identifying presence of an ethical issue

Ethical reasoning - formulating the morally ideal course of action by identifying the relevant ethical issues and using principles to consider appropriate actions

Ethical motivation - deciding what one wishes and intends to do

Ethical implication - executing and implementing what one intends to do

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13
Q

Name 4 main primary ethical principles in CEAC
Name key areas in CHRE

A

CEAC: respect, competence, responsibility, integrity

CHRE: autonomy, valid consent, privacy, scientific integrity

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14
Q

Name + describe 5 qual research methods

A

Interviews - structured, semi or open ended
Focus groups - group discussions not interviews
Group interviews - more then one pp or researcher
Participant observations - covert or overt
Field notes
Diary entries - often when observations not possible

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15
Q

3 types of interviews

A

Barbour 2003 - interviews are ‘gold standard’ of qualitative research

Structured - rigid. preferred by positivist. pre prepared questionnaires and standardised questions asked in specific way to not influence

Semi structured - most widely used. researcher drives but no script, list of prompts and questions to help guide, any order, additional questions can be asked. Need rapport.

Unstructured - most open ended. Relies on spontaneous generation of questions as interviews progress

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16
Q

What are focus groups

A

Alternative to semi structured 1:1

Group of people asked opinion on particular topic
Uses communication and interaction of pp to generate data - interactive interview

Normally used in: market research, social sciences, intervention design

Around 4-8 pp
Either homogenous (share or similar traits) OR heterogenous (do not share) pre existing or new groups
Researcher is moderator, keeps discussion going

17
Q

Types of participant observation

A

Covert - unaware being observed
Overt - know being observed

Participant as observer - group membership, fully immersed - overt
Observer as participant - shadowing, standing at back, observing - open

Complete observer - fly on wall, maybe via camera, distant approach - covert or overt
Complete participant - group membership, fully immersed - covert

18
Q

Characteristics of diary entires

A

Often used when observations are not possible - ie no clearance

Written or audio recorded
Lengthy or small snippets
Data collected over time - can ask for reflection or experience
Capture what’s important to participants

19
Q

Main difference between observations + dairy entries and interviews + focus groups

A

Observations and diary entires = can provide in situ data compared to retrospective data collected in interviews and focus groups

20
Q

2 main benefits of planning and storing data

A

Maintains security and integrity of data to ensure privacy and confidentiality for respondents
Ensuring efficient access to relevant data during the analysis process

21
Q

Define examples of poor and good data management

A

Poor:
No systematic record of interviews taken
Interview recordings stored on different computers/locations
File name recordings unclear/confusing

Good:
Systematic record of pp and interviews
Secure storage of video and audio data
Appropriate transcription

22
Q

Name a transcription service and how benefits

A

Computer assisted qualitative data analysis software (CAQDAS)

Helps organise, manage and analyse data
Most beneficial with big qual data sets

23
Q

4 steps to thematic analysis

A

Data management - system for organising, ordering and storing data

Transcription - transcribe interviews and type up field notes

Familiarisation - listen to and read or view the material collected repeatedly

Reduction - code and categorise data so can build themes

24
Q

2 ways of identifying codes

A

Deductive - top down - A priori - driven by research question

Inductive - bottom up - emergent - codes linked to data found

25
What to code?
Themes Topics Concepts Terms Phrases
26
History of ethics in relation to code
Demand for ethical research became needed after WW2 with the Doctors Trial Nuremberg code came out 1947. Ten key principles for ethical human experimentation: IE need for voluntary and informed consent
27
4 key areas ethical principles fall into
Avoid harm to participants Ensure informed consent of participants Respect the privacy of participants Avoid deception
28
What is analysis - 4 points
Systematic rigorous and logical process where data is given meaning Breaking data into smaller parts Applying codes to segments of data Creating new concepts
29
6 stages to coding
Transcribe data Familiarisation Code Search for themes Review and refine themes Define and name themes
30
2 approaches to thematic analysis What are they Used to do Strength and weaknesses
Content analysis: Determine presence of certain words, themes, concepts in qual data Changing qual data into quant so can be statistically analysed or used descriptively Reduces large data sets into manageable level + researchers not need specific skill, unobtrusive - time consuming, reductionist, ignores context Template analysis: Thematically organise and analyse qual data Development of a coding template which summarises themes, presented in organised way Normally starts with few pre-determined codes to help guide analysis + flexible
31
Difference between content and template analysis
Content - determine presence of certain words, themes, concepts. Changes qual into quant vs Template - thematically organise and analyse qual data using coding template to summarise themes
32
6 stages of thematic analysis - Braun and Clarke
Familiarisation with data Generating codes Generating initial themes Reviewing initial themes Defining and naming themes Producing report
33
What is semantic vs latent coding
Semantic: Ignores underlying meaning Surface meanings of data Do not examine past what is said or written Latent: Concentrates on underlying meanings Examines reasons for semantic content Meanings theorised
34
Grounded theory: Definition Application + and - Alternative to
Inductive on-going examination of data to see emerging themes Attempts to unravel meanings of peoples interactions, social actions and experiences Defined purpose but does not start with a research question or review of literature Health care professionals understanding chronic pain + inductive so flexible - debate on literature review doing at end so data collected not influenced but study may of already been done Action research is alternative - focuses on action and research simultaneously
35
5 main types of qual analysis
Content - systematic classification using coding to identify key categories Thematic - search and generation of themes Grounded theory - inductive process finding emerging themes Discourse analysis - analyse written, verbal, non-verbal communication data Narrative analysis - how pp construct story and narrative from own personal experience
36
Ways to enhance validity
Triangulation - combination of methods in same study Peer de-briefing - compares researchers coding ask peer to code 1% and compare ect Immersion in setting - more realistic behaviour