research methods
- Created by: 1234am
- Created on: 02-06-20 13:15
types of data
primary and secondary data
primary data (collected by yourself/ first hand)
- questionnaires
- interviews
- observations
secondary data (collected by someone else/second hand)
- textbook
- statistics
- newspaper
qualitative data - (written data) invloves opinions and values - favoured by interpretivists
quantitative data - (numerical data) - favoured by positivists
PET
Practical (can the research be done?)
- time and money
- funding
- opportunities
Ethical (should the research be done?)
- informed consent
- confidentiality
- will anyone be harmed
- moral?
Theoretical (will the research be useful?)
- is it valid/genuine
- reliability
- representativeness
laboratory experiment
lab experiments take place in an artifical controlled environment
- aims to measue the effect of variable and test a hypothesis
example - bobo doll experiment - seeing how a child would treat a doll after watching an adult act aggressive towards it - most similar was when the child was the same gender as the adult
adv.
- (practical) easy to attract funding / takes place in one setting
- (ethical) rarely ask participants to do anything illegal / most get infromed consent
- (theoretical) relaible - easy to repliacte conditions / establish cause and effect relationships
disadv.
- (practical) time consuming / impractical to observe large scale social processes in a laboratory
- (ethical) might result in harm / decpetion
- (theoretical) hawthorne effect - less valid/ small scale - unrepresentative
field experiment
take place in a real world context such as a school or a hospital
- aim to measure the effect of variables and test hypothesis
example - stanford prison experiment 1971
adv.
- (practical) quicker and less money
- (theoretical) more valid - no hawthorne effect
disadv.
- (practical) not much access to participants
- (ethical) some dont consent
- (theoretical) not representative
social surveys
close-ended; respondent has a limited range of answers to chose from
open-ended; respondent gives the answer they wish to give in their own words
all surveys have an aim or hypothesis
sampling;
- random - individuals are chosen at random
- systematic - individuals are chosen at regular intervals.
- stratified - divide population into groups and randomly or systematically choose from there
- quota - method for selecting survey participants that is a non-probabilistic
- snowball - research participants recruit other participants for a test or study
- opportunity - researcher selects participants based on their availability
questionnaires
close-ended; quantitative - numerical data - participant has a fixed list of answers
open-ended; qualitative - respondent gives the answer they wish to give in their own words
adv.
- (practical) they are generally quick and easy and cheap to complete.
- (theoretical) data should be reliable and representative
- (ethical) informed consent
disadv.
- (theoretical)constrain or distort the way respondents answer – they may therefore lack validity.
- (ethical) best avoided when talking about sensitive topics
- (theoretical) postal questionnaires get a low response rate
secondary sources of data
official statistics
- quantitative data gathered by the government or other official bodies
examples include statistics on births, deaths, marriages and divorces, crime and health
there are two ways of collecting official statistics;- registration e.g parents register birth of a child
- official surveys e.g the census
adv.
- (practical) free sources of huge amounts of data
- (theoretical) representative - large scale
disadv.
- (theoretical) reliable - some participants may fill out information wrong
secondary sources of data
historical documents
personal or public documents created in the past
adv.
- only way to obtain information about the past
- study changes over time
- understanding past events is important to help with understanding current society
disadv.
- authenticity - is it genuine? is there missing pages? who wrote it?
- credibility - is the author sincere in what they write?
- representativeness - how representative is this document compared with others of that time
- meaning - the literal and underlying meaning might be difficult to decipher
secondary sources of data
personal document
these documents record details of a persons life experiences - mainly qualitative - favoured by interpretivists - examples include diaries, letters, photos
adv.
- valid
- allow sociologists to get close to the meanings and people involved
disadv.
- unscientific
- difficult to obtain
- lack representativeness
secondary sources of data
content analysis
- used to study media texts - appeal to positivists
adv.
- cheap
- scientific
- reliable - can be checked by others
disadv.
- critiscised by interpretivists for lacking depth
- bias - researcher decides what parts to count, ignoring things that dont fit the hypothesis
- may be time consuming
other types of research
case study
detailed examination of a single case or example such as school or workplace. it may even be a study of one person
Strengths
- Detailed insight into a particular group
- Qualitative
- Interpretivist
- Validity
Limitations
- Representative
- Cannot generalise
other types of research
longitudinal study
follows same sample or group over an extended period of time
strengths
- trace developments over time
- make comparisons between groups over time causes can be identified
limitations
- keeping track of sample
- demograohic changes may mean original sample is not representative
- large amount of data - time consuming to analyse
- hawthorne effect
- costly - parkers five year study of illegal drug use cost £380,000
other types of research
life histories
often case studies of indiviuals, it is a qualitative mathod used by interpretivists to understand how individuals interpret their life
strengths
- detailed insight into a persons individual experience
- qualitative data
- adds historical dimension
limitations
- representative
- cannot generalise
- time consuming
other types of research
triangulation
combination of methods gaining both qualitative and quantitative methods
strengths
- more rounded picture
- weaknesses in one method can be complemented with another
- both qualitative and quantitative
- both reliable and valid
limitations
- time consuming
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