SOCIOLOGY EXPERIMENTS
ARTIFICIAL / LABORATORY EXPERIMENTS
NATURAL / FIELD EXPERIMENTS
POSITIVISTS
INTERPRETIVISTS
- Value - free (objective)
- Reliable
- Structured
- Quantitative methods & data
- Value - laden (subjective)
- Valid
- Unstructured
- Qualitative methods & data
Testing for hypothesis by looking at causal relationships between variables - uncover formulaic predictable laws of human behaviour
HYPOTHETICO-DEDUCTIVE METHOD ⭐
1. A phenomena is observed
2. A hypothesis is formulated
3. Experiment set up to test for hypothesis
4. Effects of variable changes are observed and noted
5. Data is collected, organised and quantified
6. Conclusions are drawn (objective)
7. Hypothesis is accepted pr rejected
8. A theory is formulated
9. Other researchers scrutinise the theory
ASPECTS OF THE EXPERIMENT ⭐
Control group: No changes made to it (used to compare any changes that occur within the experimental group) Usually demonstrate "normal behaviour"
Experimental group : Key variable are manipulated one at a time to see if any of them make a difference to the group's behaviour
VARIABLES
Controlled variables
- variables that the researcher has control over
Extraneous variables
- variables that the researcher has no control over & could affect the outcome of the experiment
Subject variables
- variable related to an individual in the research
Experimental variables
- variables that are being studied
Independent Variable
- Variables that are changed
Dependent Variable
- the outcome occurs when IV is changed
ADVANTAGES / DISADVANTAGES
STRENGTHS
WEAKNESSES
'scientific method'
- prestige and funding
cannot control all the variables when dealing with society and individuals
value free
quantifiable data
high in reliability (method & data)
allows correlations in the data to be easily made
uncovers formulaic laws of human behaviour
volunteer bias
invalidity
cost / time
consent
Experimenter bias
Small scale (unrepresentative)
artificial setting
Are people passive?
EXAMPLES
👤 Stanley Milgram
👤 Philip Zimbardo
👤 Elton Mayo
The Stanford Prison experiment - Wanted to see how people would conform to roles given to them. In his 'prison experiment' things got out when participants would begin to psychologically abuse each other. The experiment was stopped after 6 days.
The Hawthorne effect - researched whether light or temperature conditions would affect the productivity of the workers. He found out that the subjects would change their behaviour simply because they were being watched
Obedience experiment - He wanted to find out if people were willing to follow orders from authority figures even when the orders were morally wrong. The experiments deceived teh participants by suggesting there would be no long term adverse psychological events
generally follow the same principles as artificial experiments but they do not attempt to control all of the IVs - instead they let behaviour and situations take their 'natural course'
subjects do not normally know they are being studied and hence they should act more naturally
EXAMPLES
👤 Rosenthal & Jacobson
👤 Colin Brown & Pat Gay
👤 J.W Sissons
Teacher expectations and effects of labelling - investigating the effects of labelling by telling teachers that one group of students is high "spurters" and the other group were 'less able'. Teachers interacted with the students according to their labels and the "spurters" achieved higher than the others.
The Paddington Train Station Experiment - wanted to explore people's perceptions of social class by dressing up an actor as a 'businessman' and then as a 'labourer' and asked him to ask passengers for directions. He found out that more people stopped and gave directions to the 'businessman'
Racial discrimination experiment - To test the extent of racial discrimination in employment, they sent a white actor and a black actor to the same job interviews to see who was more likely to be offered a job. They also sent out the same job applications but changed the name and ethnicity of the application. They found out that the white applicant was more likely to be offered a job in most cases.
ADVANTAGES / DISADVANTAGES
STRENGTHS
WEAKNESSES
'natural environment' creates high validity
lessens the hawthorne effect
small- scale means that fewer subjects are needed
acknowledges differences between individuals
removes volunteer bias
cannot control all variables
unreliable
ethics (deceit / consent / harm)
cannot be sure which independent variable created which dependent variable
small scale (unrepresentative)
qualitative data is difficult to quantify
THE COMPARATIVE METHOD
in response to the criticisms of artificial experiments, positivists came up with the comparative method to remove the 'human element' out of the research yet still retain the principles of scientific experiments
Study of two / multiple "data sets" that are similar except one or two IVs
could involve two groups of people like an artificial experiment
the two data sets are compared to see if the different IVs make any difference
EXAMPLES
👤 Durkheim
Suicide - He hypothesised that low levels of social integration was causally linked to suicide rates (Protestants less integrated than Catholics)
After scrutinising official suicide statistics he found that the key variable was indeed levels of social integration rather than age, sex, ethnicity etc.
ADVANTAGES / DISADVANTAGES
STRENGTHS
WEAKNESSES
Avoids artificiality
Historical references / comparisons
lessens ethical problems with suh research
eliminates the hawthorne effect
value free
reliable
cannot control teh variables
invalidity
difficult to pinpoint causal variables
statistics still need to be 'interpreted'