Quantitative and Qualitative Methods
Quantitative Data:
The data can be presented in numerical form and is more objective in nature. It can be analysed and conclusions drawn are more likely to be reliable and can be repeated to see new trends over time
Qualitative Data:
The data is more contextual, often presented in written, verbal or visual formats, and therefore open to interpretation. It offers researchers more of an insight (verstehen) into the lives of others.
Methodological views on data:
Sociologists who adopt a positivist methodology are more likely to use methods that generate quantitative data as they are looking to establish trends and patterns of behaviour displayed by people in society
Interpretivists are more likely to use methods that generate qualitative data that fits the purposes of their research. They look for the meanings and motivations behind the behaviour of groups and this is more likely to be found in qualitative data
Quantitative methods:
Experiments
Laboratory
Field
Questionnaires
Closed questions
Opinion polls and surveys
Structures Interviews
Non-Participant structured observations
Official statistics
Content analysis
Uses of quantitative data:
Reporting social trends: In the UK through Office for National Statistics. This informs social policies and budget spending
Opinion polls: Measures social attitudes to issues such as Brexit, voting intentions, fear of crime
Education: League tables, exam results, University entrance
Private sector and charities: Marketing, funding projects in specific areas
Qualitative methods:
Participant observations
Unstructured interviews
Questionnaires with open questions
Personal documents
Historical documents
Case studies
Ethnographic approaches
Journals, diaries, forms of media
Uses of qualitative data:
Understanding people’s perceptions, meanings and motivations for behaviour
Comparing viewpoints across time and revealing changes in social attitudes
Accessing hard-to-reach groups that are under-represented in society
Useful in informing further research
Which is better?:
Theoretical and methodological preference
Structural explanations: Quantitative data
Social action explanations: Qualitative data
Quantitative data is better for large-scale research that can be repeated and measured over time
E.g. the census
Qualitative data is best for gaining an insight into the lives and experiences of individuals who are often in society
Combining methods can increase the reliability and validity of research
Methodological pluralism:
The term that is given to the combination of methods in an attempt to increase the reliability and validity of a piece of research
Willis’ Learning to Labour: Use of unstructured interviews, group interviews, questionnaires and observations of behaviour
The use of open and closed questions on questionnaires to establish behaviours and find out the motivations behind those behaviours
Quantitative Data:
The data can be presented in numerical form and is more objective in nature. It can be analysed and conclusions drawn are more likely to be reliable and can be repeated to see new trends over time
Qualitative Data:
The data is more contextual, often presented in written, verbal or visual formats, and therefore open to interpretation. It offers researchers more of an insight (verstehen) into the lives of others.
Methodological views on data:
Sociologists who adopt a positivist methodology are more likely to use methods that generate quantitative data as they are looking to establish trends and patterns of behaviour displayed by people in society
Interpretivists are more likely to use methods that generate qualitative data that fits the purposes of their research. They look for the meanings and motivations behind the behaviour of groups and this is more likely to be found in qualitative data
Quantitative methods:
Experiments
Laboratory
Field
Questionnaires
Closed questions
Opinion polls and surveys
Structures Interviews
Non-Participant structured observations
Official statistics
Content analysis
Uses of quantitative data:
Reporting social trends: In the UK through Office for National Statistics. This informs social policies and budget spending
Opinion polls: Measures social attitudes to issues such as Brexit, voting intentions, fear of crime
Education: League tables, exam results, University entrance
Private sector and charities: Marketing, funding projects in specific areas
Qualitative methods:
Participant observations
Unstructured interviews
Questionnaires with open questions
Personal documents
Historical documents
Case studies
Ethnographic approaches
Journals, diaries, forms of media
Uses of qualitative data:
Understanding people’s perceptions, meanings and motivations for behaviour
Comparing viewpoints across time and revealing changes in social attitudes
Accessing hard-to-reach groups that are under-represented in society
Useful in informing further research
Which is better?:
Theoretical and methodological preference
Structural explanations: Quantitative data
Social action explanations: Qualitative data
Quantitative data is better for large-scale research that can be repeated and measured over time
E.g. the census
Qualitative data is best for gaining an insight into the lives and experiences of individuals who are often in society
Combining methods can increase the reliability and validity of research
Methodological pluralism:
The term that is given to the combination of methods in an attempt to increase the reliability and validity of a piece of research
Willis’ Learning to Labour: Use of unstructured interviews, group interviews, questionnaires and observations of behaviour
The use of open and closed questions on questionnaires to establish behaviours and find out the motivations behind those behaviours