Y13 Theory & Methods Flashcards
Quantitative methods: Lab experiments & why positivists favour them
- Reliable - if we can repeat previous research and we find the same thing over and over again, this means the research is reliable and indicates that results are true!
- Objective/detached from research - researchers’ values do not influence the results.
- Scientific - as quantitative data is collected we can use this to compare to other studies.
- Allow hypotheses to be tested and are able to establish cause and effect!
What’s the difference between an open & closed system?
-Closed system is when there are not a number of variables that can impact results.
-The researcher is more able to establish cause & effect.
-An open system is where behaviour is less predictable due to many factors affecting behaviour.
Eval: Keat & Urry
-Argue that lab experiments are only suitable for studying closed systems where the researcher can control & measure all the relevant variables & make precise predictions.
-ie. in physics & chem.
-Society is an open system where countless factors are at work & therefore variables can never be fully controlled & human behaviour cannot be predicted.
Why don’t interprevists like lab experiments?
-Lack external validity - do not reflect behaviour in the ‘real world’
-Not as representative as Positivists claim due to small samples.
-Lack internal validity - the study is not measuring what it sets out to measure as participants’ behaviour may be influenced by the experiment (Hawthorne effect).
-It ignores the free will of individuals.
More practical issues with lab experiments
-Individuals are complex - no humans are alike so we can’t draw comparisons/make generalisations.
-Studying the past - can’t use lab experiment to study the past or to study the effects of something for a long period of time.
-Expectancy effect - the research can influence how ppts act by expecting certain things/encouraging certain behaviour.
-Hawthorne effect - artificial setting so behaviour isn’t natural or is an act.
-Small sample - can study a small number of people - not representative.
Field experiments
-Takes place in the subject’s natural surroundings rather than artificial lab setting.
-Those involved don’t know they’re the subjects of an experiment.
Rosenthal & Jacobson (1968)
Manipulated teachers’ expectations about pupils by giving them misleading info about the pupils’ abilities in order to discover what effects this had on the children’s achievement.
Actor tests & correspondence tests
-Brown & Gay sent a white & black actor to see which would be offered the job.
-> Diff ethnicities, but matched for age, gender & qualifications.
-Similarly in a correspondence test, Wood et al sent closely matched job applications for almost 1000 vacancies apparently from 3 applicants of different ethnicity.
Why are these good or bad?
:) More natural and valid & avoid artificiality of lab experiments.
:( Less control over variables so cause & effect is harder to establish.
:( Unethical as it’s carrying out an experiment on subjects without their knowledge or consent.
Comparative method
-Does not involve the researcher experimenting on real people thus avoids ethical issues.
-Instead, it relies on reanalysing secondary data in order to discover cause and effect relationships so avoids being artificial and can be used to study the past.
- Compares 2 groups alike in major aspects except for 1 variable you’re interested in studying (IV).
- Then you must compare the 2 groups to see if the 1 difference between them has any effect.
Durkheim’s suicide study (comparative method)
-Analysed official stats which was better than lab experiments:
-> avoids artificiality
-> can be used to study past events
-> avoids ethical problems of harming or deceiving subjects
:( Less control
Questionnaires
Ask people to provide written answers to pre-set written questions.
-Closed-ended: respondents choose from a limited range of possible answers.
-Open-ended: respondents open to answer in their own words.
Practical strengths with questionnaires
-Quick & cheap way to get large amount of quantitative data (large geographical spread).
-No need to recruit & train interviewers.
-Easy to quantify.
Practical limitations using questionnires
-Data often limited and superficial.
-May be necessary to offer incentives to persuade respondents to complete questionnaires.
-Low response rates.
-May be hard to comprehend.
-Inflexible once finalised.
-Less useful for investigating unfamiliar topics.
Positivists use questionnaires because…
-Representatuve
-Relaible
-Detached method
-Test hypotheses
-Questionnaires establish correlational data & further hypotheses can be developed and tested.
Why do positivists like them?
-Reliable: if we can repeat research and receive similar results, it’s reliable. This is a standardised measuring instrument. They allow us to make comparisons.
-Representativeness: large-scale so wide geographical areas & samples tend to use more sophisticated sampling techniques to achieve a representative sample.
-Detachment & objectivity: scientists biased opinions separate from research and scientific and no researcher to influence.
Why don’t interprevists like questionnaires?
-Detached: to obtain valid data, we need to gain subject understanding and a lack of contact doesn’t allow research to clarify meaning.
-Lying, forgetting & trying to impress: Respondents may try to please by giving ‘respectable’ answers but they also might just lie.
-Imposing meanings: Closed-ended are straitjacket responses and people have to try and fit their answers into it.
Practical strengths of structured interviews
-Cover large numbers (Y&W).
-Suitable for gathering straightforward factual info.
-Results are easily quantified.
-Training interviewers is relatively straightforward and inexpensive.
-Higher response rates.
Practical issues of structured interviews
-Inflexible as interview schedule drawn up in advance.
-Unsuitable for investigating unfamiliar topics.
-Snapshots of a moment in time.
Why do positivists like them?
-Reliable- same questions asked ALSO you can train the interviewer to ask Q in the same way i.e. tone.
-Representative - cheap to conduct i.e. specialist training not needed - more participants can be interviewed.
-ALSO, more people are willing to take part in structured interview than questionnaires due to the personal interaction - Young and Wilmott (1962) only had 54/987 turn them down for their research which was structured interviews.
-Objective/detached from research
-Scientific - as quantitative data is collected we can use this to compare to other studies.
Why do interprevists critique them?
-Invalid data as some answers may not fit any pre-set answer.
-Littke freedom for interviewers to to clarify misunderstandings.
-People may lie or exaggerate.
Why do feminists critique them?
-Reinharz refers to them as ‘research as rape’ because they argue relationship between researcher and research reflects the exploitative nature of gender relationships in patriarchal society.
-Oakley believes structured interviews create a power imbalance and reflect patriarchal hierarchies. Because, positivists take a ‘masculine’ approach to research that places a high value on objectivity, detachment & hierarchy.
-Researcher takes active role of asking questions & interviewer has passive role of answering.
Official stats
-Produced by government and other official bodies.
-They collect information for their own purposes i.e. policy making.
-Several types of sources are used to create O.S:
> Registration of births
> Official surveys i.e. census
> Administrative records of state agencies i.e. hospitals, courts, schools etc.
-There are also ‘non-official’ statistics created by non-state organisations i.e. the charity Shelter create statistics on homelessness.
Positivist view on Official stats
:) Useful in establishing trends and detecting changes over time & how changes in law can lead to new patterns -> can check effectiveness.
:) Uninterested in individual explanations & take a top-down approach to witness society as a whole rather than seek to discover individual differences.
:) Objective & unbiased as they’re collected by govt & organisations.
:) Gathers reliable data.
:) Representative & covers large amounts of the population.