the process of research Flashcards
hypothesis
a proposed explanation that can be determined to be true or false
‘family size determines educational achievement’
if the hypothesis is shown to be false, it will be discarded
used by positivists as they seek to discover cause and effect relationships
advantage - gives clear direction to research
research aim
a more general statement of what the sociologist intents to study and hopes to achieve
‘to investigate the impact of male teachers on boys in primary schools’
used by interpretivists as they are interested in understanding actors’ experiences and meanings - want to find out what the actors themselves think rather than impose their own explanations in the form of a hypothesis
advantage - open ended and can be useful at the start of research when little is known about a topic
operationalising concepts
before testing a hypothesis, sociologists will need a working definition of their key terms
e.g if our hypothesis us that working class people do worse in exams, we need a definiton of working class
is it based on income, culture, occupation?
once we have operationalised the concept, we can start asking questions that measure it and can correlate this with information we collect
operationalising concepts:
positivists and interpretivists
make concepts measurable
positivists are most concerned to operationalise concepts because of the importance they place they place on quantitative data and testing hypothesis
interpretivists put less emphasis on operationalising concepts - more interested in actors own definitions and understanding of ideas than in imposing their own definitions of these concepts
disadvantages of operationalising concepts
sociologists operationalise the same concept differently
this can make it harder to compare findings from different pieces of research
pilot studies
sociologists who use social surveys such as questionnaires and structured interviews, often carry out a pilot study before conducting their own survey
this involves trying out a draft version of the questionnaire or interview questions on a small sample
young and willmott - carried out over 100 pilto interviews to help them decide on the design of their study, the questions to ask and how to word them
sampling
we do not have the time or money to survey every working- class pupil in the uk .
we would, have to choose a sample of pupils to include.
a sample is a smaller sub-group drawn from the wider group that we are interested in. the process of creating or selecting a sample is sampling
the purpose of sampling
the purpose of sampling is usually to ensure that those people we have chosen to include in the study are representative of the research population - the whole group we are interested in
so long as the sample is representative, we should be able to generalise our findings.
this is particularly attractive to positivist sociologists, who wish to make general, law-like statements about the wider social structure
the sampling frame
a list of all the members of the population we are interested in studying.
young and willmott used the electoral register as their sampling frame.
it is important that the list we use as a sampling frame is as complete and accurate as possible.
once we have obtained our sampling frame, we can choose our sample from it. in selecting the sample, we need to ensure it is representative of the wider population we are interested in.
representative sampling techniques:
random sampling
simplest technique - sample chosen purely by chance
everyone has an equal chance of being selected
a large enough random sample should reflect the characteristics of the whole research population
representative sampling techniques
quasi random sampling/ systematic sampling
every nth person from the sampling frame is selected
young and willmott used every 36th name on the electoral register
representative sampling techniques:
stratified random sampling
the researcher first stratifies (breaks down) the population in the sample frame by age, class, gender etc
then the sample is created in the same proportions
representative sampling techniques:
quota sampling
the population is stratified, and then each interviewer is given a quota which they have to fill with respondents who fit these characteristics.
the interviewer keeps at this task until their quota is filled.
non representative sampling techniques:
practical reasons
there are several practical reasons why it might not be possible to create a representative sample:
the social characteristics of the research population, such as age, gender and class, may not be known
it may be impossible to find or create a sample frame for that particular research population. for example, not all criminals are convicted, so there is no complete list available from which to select a sample
potential respondents may refuse to participate
non representative sampling techniques:
snowball sampling
involves collecting a sample by contacting a number of key individuals who are asked to suggest others who might be interviewed
useful way to contact a sample of people who might otherwise be difficult to find or persuade to take part.