Research methods Flashcards
which methods do positivists prefer?
- ‘social facts’ that can be studied objectively using scientific techniques
- lab experiements, social surveys, structured questionnaires,structured interviews, non-ppt observation, official stats, content analysis
which methods do interpretivists prefer?
- people have a consciousness involving personal beliefs and meanings that influence the way they act
- researcher should gain an in-depth understanding of the world around them by putting themself in position of person being studied
- uncontrolled field experiments, open questionnaires, unstructured interviews, overt or cover ppt observation, personal documents
examples of practical issues
- time and funding
- access
- researcher’s personal skills or characteristics to carry it out (desire to prove hypothesis)
- availability of existing data
- career interests and need for researchers to meet deadlines (desire for career success)
examples of ethical issues
- avoiding harmful consequences
- deception
- informed consent
- respecting privacy and anonymity
examples of theoretical issues
- whether a marxist, functionalist or feminist approach is used and how it will influence the topic
- whether a positivist or interpretivist approach is used - qualitative or quantitative methods
reliability
whether the method can be replicated by others to check results
generalisability
whether the method enables findings to be generalised to similar groups
validity
whether the method provides a true, genuine picture of what is being studied
- qualitative data usually has high validity but is less reliable
strengths of secondary data
- may be only available data in an area
- readily available and cheap
- often representative - official stats
- may cover long time span - show trends over time
- qualitative data eg. personal diaries, letters, newspapers - give interpretivists insight into ideologies of those who produced them
weaknesses of secondary data
- may not be representative
- official stats may lack validity eg. being manipulated by government to avoid political embarrassment
- difficulties in deciding if data is; authentic, credible - biased, representative of wider social group, same meaning as time it was produced, collected using sound methods
Hawthorne effect
- presence of a researcher changes the behaviour of the group
- affects validity of research
- eg. people not telling the truth in questionnaires or interviews or ‘playing up’ for the researcher in ppt observation
laboratory experiment
all variables or causes are under control of researcher
field experiment
conducted in real world under normal social conditions but follow similar procedures to lab experiments
strengths of lab experiments
- controlled conditions
- easy to isolate and manipulate variables to identify causes of events
- enable comparisons between other experimental research
- detached, objective and scientific
(positivists)
strengths of field experiments
- not artificial situations so more valid
- ppts may not be aware researcher is present so avoid Hawthorne effect
- producing more valid info than lab experiments
(interpretivists)
weaknesses of experiments
- in sociology it’s hard to isolate particular cause of social issue
- ethical issues - need to treat one group different from the other eg. Rosenthal and Jacobson
- people may not consent to being experimented on and if researcher carries on it will be deception
- often only possible on small scale settings - unrepresentative
- risk Hawthorne effect
the comparative method
- researcher collects data about different societies then compares them to identify conditions present in one but lacking in the other as a way of explaining some social event
- positivists - isolates causes
random sampling
every individual in population has an equal chance of being picked
systematic sampling
names selected from sampling frame at regular intervals until desired size is reached
stratified random sampling
sampling frame is divided into subgroups based on characteristics according to proportions of population and random sample is taken from each group
quota smapling
population is stratified, interviews find a quota of people who fit into certain categories
snowball sampling
researcher find one or two people with desired characteristics and asks them to introduce them to others willing to cooperate, then asks them to find others and so on#
- not random or representative