quantitative and qualitative methods Flashcards
1
Q
overview
A
- split approaches to research into 2 broad categories
- quantitative methods - collect numbers/numerical data and use statistical tools
- qualitative methods - collect words, pictures and artefacts
- some researchers also adopt both approaches or apply quantitative methods to qualitative style data
- quantitative methods are probably easier to group together, because qualitative methods include such a broad range of approaches.
2
Q
outline of quantitative methods
A
- take a phenomenon and try to condense it down into a few dimensions or variables that can be measured as precisely and reliable as possible.
- very important to choose variables that are representative of the phenomenon you’re studying.
- choosing variables that are representative of the phenomenon you’re interested in involves operationalisation.
- operationalism means choosing a measurable proxy for the phenomenon you’re interested in
- often make use of statistical methods
- using statistical methods means looking at lots of cases
- the goal is often to develop generalisations, or theories that are generally applicable.
- involves testing predictions that logically follow from theories.
3
Q
outline qualitative methods
A
- are focused on meaning rather than measurement
- instead of condensing a phenomenon down to a simple set of features or dimensions, qualitative research tries to examine many features.
- try to look at all aspects of one or few instances of a phenomenon
- view the context as a central part of the phenomenon being studied
- also emphasise the idea of following data wherever it leads
4
Q
qualitative methods
A
- extremely varied with different methodologies, underlying theoretical assumptions, and intellectual histories.
- examples - verbal protocol analysis, ethnographic methods, discourse analysis, phenomenology
- there are many more, including case studies, grounded theory, participatory research, focus groups.
5
Q
verbal protocol analysis
A
- also known as thinking-aloud protocols
- involves collecting and analysing verbal data on cognitive processing
- pps are given a task and are asked to verbalise what they are thinking as they go about solving the task
- data are coded and analysed to infer the information processing steps involved in solving the problem.
- the approach was used in early cognitive science by Simon and Newell who were pioneering researchers in cognitive science and artificial intelligence
- carries certain assumptions about the nature of human cognition/thinking
6
Q
ethnography
A
- more a style of research than a method of data collection, it involves studying people in “the field”, and requires the researcher to enter the setting they are studying.
- attempts to understand how the socio-cultural practices and behaviours of people are shaped by their social, physical and cultural contexts.
- tries to make sense of events from the perspective of the pps
- could include data from interviews, or participant observation
- in cognitive psych, ethnographic approaches have been used to understand how people style problems in real-world settings.
- in critical psych, ethnographic approaches have been used to understand the interplay between race, class, gender and education in shaping participants life worlds.
7
Q
discourse analysis
A
- the social study of language used in talk, text and other forms of communication
- it involves a distinctive way of thinking about talk and text where language doesn’t just represent the world but also contracts the world.
- strengths - allows you to examine how language constructs reality, and can make use of primary data, or secondary data
- can be difficult to use discourse analysis to develop the same kind of generalisations as you might develop with other approaches.
8
Q
phenomenology
A
- associated with philosophers Husserl, Merleau-Ponty and Sartre
- involves bracketing off any preconceived notions we might have about a phenomenon to achieve an understanding of that phenomenon that has not been influences by our prior beliefs.
- emphasises people’s first-hand experience and attempts to understand and describe subjective experience from the pps point of view.
- used in fields like cognitive psych to understand the nature of subjective sensory experiences.
9
Q
issues in qualitative research
A
- unlike quantitative methods that might use printed questionnaires or computers to record any measure response, in qualitative r4esearch, the researcher is the instrument
- important for researchers to reflect on their values, assumptions, biases and beliefs to understand how these might impact the research
- the research instrument can change, e.g., in ethnographic research the changes in the researchers experience might alter how they record and observe behaviours.
- there are parallels to validity, reliability and objectivity in qualitative research
- these are:
1) credibility - Can the data support the claims. Can be established through prolonged engagement, discussions with other researchers/participants, and critical self-reflection
2) transferability - Can the findings be transferred to similar contexts. Requires extensive, detailed, and careful descriptions of the research context (“thick descriptions”).
3) dependability - Ensuring that researchers maintain a record of changes in the research process or research instrument (i.e., themselves) over time.
4) confirmability - Concerned with ensuring that the data used to support the conclusions are verifiable.
10
Q
quantitative methods
A
- putting numbers to thing so that it can be measured
- the motivation behind measuring phenomena is that measurements are publicly available and verifiable
- unlike qualitative research where researchers try ti simultaneously study many aspects of a single phenomenon, quantitative research tries to condense a phenomenon dow into a single dimensions.
- the first step in quantitative research is often figuring out how to quantify the phenomenon of interest, this involves choosing a proxy that can stand-in for the phenomenon.
11
Q
operationalism
A
- the process of choosing a proxy is called operationalisation
- ways to choose a measurable proxy is - develop a scale or questionnaire
- measurements have to be reliable and valid
12
Q
quantitative methods and causation
A
- qualitative research studies phenomenon in the wild, but quantitative approaches instead try to exert a lot of control over phenomena
- control allows researchers to make claims about causation ad give casual explanations
- few ways to understand causation:
1) as a difference that makes a difference
2) in terms of manipulation
3) in terms of probability
13
Q
what is a cause?
A
- one view of causation can be summed up as a difference that makes a difference
- if you take two situations, one in which the phenomenon occurs and another in which does not occur then whatever is different between those situations is the cause of the phenomenon.
- you can also understand causation in terms of manipulation - if you can manipulate one thing and observe a change in another, then the two things may be casually connected.
- by intervening and manipulating parts of a system you can identify how they work
- causation can also be understood in terms of probability - if the presence of one thing increases the probability of the other thing occurring, then there may be a casual relationship
14
Q
causation and confounds
A
- to be justified in claiming a casual relationship other conditions must usually be met
- but casual claims are not always black and white, sometimes we can only be more or less sure about casual relationships
15
Q
smoking and confounds
A
- let’s say you are studying the relationship between emphysema and cancer, because you think emphysema might cause cancer
- in this situation, smoking is a confound
- if you wanted to see whether emphysema caused cancer then you’d have to control for smoking
- only look at smokers and see if there’s still a relationship between emphysema and cancer or whether cancer also occurs in the absence of emphysema
- only look at non-smokers and see whether emphysema and cancer are still related or whether cancer develops in the absence of emphysema
- emphysema and cancer are correlated (the increase in one leads to an increase in the other), but emphysema doesn’t cause cancer because they have a common cause.