Information collected personally by a researcher using methods such as questionnaires, interviews and observational studies
Strengths of primary data
Researcher has complete control over how data is collected, by whom and for what purpose
Researcher has greater control over the reliability and validity of the data, as well as how representative it is
Limitations of primary data
Time-consuming to design, construct and carry out
Can be expensive
Difficulty gaining access to the target group
Some people may refuse to participate or potential respondents may no longer be alive
Secondary data
Data that already exists in some form, such as documents (government reports and statistics, personal letters and diaries) or previous research completed by other sociologists
Strengths of secondary data
Researcher is able to save time, money and effort
May be the only available resource
Highly reliable if consistently collected from the same sources
Limitations of secondary data
Not always produced with the needs of sociologists in mind
Sources can be unreliable
May only reflect the views of a single individual rather than representing wider opinions
Quantitative data
Information expressed numerically as raw numbers, percentages or rates
Strengths of quantitative data
Useful for comparing numbers and testing hypotheses
More reliable as it is easier to repeat the study
Allows researchers to remain more objective
Limitations of quantitative data
Respondents are placed in an 'artificial social setting'
Captures a relatively narrow range of information
Lacks depth and does not reveal the reasons for behaviour
Qualitative data
Aims to capture the quality of people's behaviour by exploring the 'why' rather than the 'what, when and where'
Strengths of qualitative data
Allows respondents to talk and act freely to capture complex reasons for behaviour
Researchers can establish a strong personal relationship with respondents to experience their lives
Results are more likely to show how people really behave and what they really believe
Limitations of qualitative data
Focuses on the intensive study of relatively small groups, limiting the ability to apply the data more widely
Difficult to compare qualitative data across time and location
Lower reliability than quantitative research due to the depth and detail of the data
Official statistics
Quantitative data created and published by governments, used by sociologists to examine trends and patterns
Strengths of official statistics
Provide a broad overview of behaviour across wide areas
Can be used to understand trends over time
Highly representative due to large sample sizes
Some are considered 'hard' statistics with a high level of accuracy
Limitations of official statistics
May not provide depth or detail
Validity issues due to what governments include or exclude
Do not reveal the reasons for people's behaviour
Definitions and methods can change over time, affecting reliability
Personal documents, digital content and media sources
Secondary sources such as letters, diaries, autobiographies, websites, blogs, newspapers, books and moving images
Strengths of personal documents, digital content and media sources
Provide access to data that would be costly to collect personally
Can provide qualitative data with great depth and detail
Allow comparison of past and present accounts to understand social change
Limitations of personal documents, digital content and media sources
Availability and authenticity issues
Reliability problems due to incompleteness, inaccuracy or unrepresentativeness
Digital sources can be subject to change or become inaccessible over time
Social change and development
How sociologists have had to adapt research methods because of changes such as the digital revolution in technology
Diaries are a commonly used personal document
Questions a sociologist would ask about diaries
1. What people keep diaries?
2. Why do they keep them?
3. Did they intend for other people to read them?
4. What things do they put in (and what do they leave out?)
5. Which diaries from the past have survived and why?
Quantitative research methods
Questionnaires
Structured interviews
Experiments
Content analysis
Questionnaires
Written questions that take one of two forms: postal questionnaires or researcher-administered questionnaires
Postal questionnaires
Normally completed in private without the researcher being present, including web-based or emailed questionnaires
Researcher-administered questionnaires
Completed in the presence of the researcher, with respondents answering questions verbally: these are structured interviews
Closed-ended or pre-coded questions
Researcher provides a set of answers from which the respondent can choose
Open-ended questions
Researcher does not provide possible answers, respondent answers in their own words
Strengths of questionnaires
Pre-coded questions make it easier to quantify data
Questionnaires can result in highly reliable data
Respondents often remain unknown (anonymous) which improves validity
Limitations of questionnaires
Low response rate can result in unrepresentative sample
Difficulty examining complex issues and opinions
Researcher has to decide at the start what is and is not significant
Researcher has no way of knowing if respondent has understood a question properly
Structured interviews
Researcher asks questions to respondents in person, with the same questions asked in the same order each time
Strengths of structured interviews
Potential reliability problems can be fixed by the researcher
Avoids the problem of unrepresentative samples - response rates will be 100%
Limitations of structured interviews
Involve assumptions about people's behaviour
Lack of anonymity can lead to interview effect and researcher effect
Experiments
Involve testing the relationship between different variables - things that can change under controlled conditions
Correlation
Two or more things happen at roughly the same time, suggesting a relationship but not necessarily causation
Causation
When one action occurs, another always follows, indicating a causal relationship
Ways to separate correlation from causality
Test and retest a relationship
Use different groups with exactly the same characteristics: an experimental group whose behaviour is manipulated and a control group whose behaviour is not manipulated
Laboratory experiments
Take place in a closed environment where conditions can be precisely monitored and controlled
Field experiments
More appropriate for sociological research, conducted in a natural setting rather than a closed, controlled environment
Strengths of experiments
Laboratory experiments are easier to replicate
Experiments can create powerful, highly valid statements about behaviour based on cause-and-effect relationships
Field experiments can be used to manipulate situations in the real world
Limitations of experiments
Difficulty controlling all possible influences on behaviour, even in a laboratory setting
Hawthorne (or observer) effect - changes in people's behaviour directly resulting from their knowledge of being studied