Key Methods (AQA A-Level Sociology): Revision Notes
Key Methods
Research methods are essential tools for investigating educational issues and understanding how schools, teachers, students and parents interact within the education system. Each method has particular strengths and limitations that make it more or less suitable for different types of educational research.
Understanding research methods is crucial for evaluating educational studies and choosing appropriate approaches for investigating different aspects of education. The choice of method significantly impacts the type and quality of data collected.
Questionnaires
Questionnaires are survey methods where questions are written down, with respondents answering either in their own writing or electronically on computers or phones. They are particularly effective for collecting quantitative data about educational issues such as pay levels following graduation, but may lack the depth needed to explore complex social processes.
Strengths of questionnaires
Questionnaires offer high reliability - if the same questionnaire is given to similar groups of parents, teachers or students, researchers are likely to get consistent results. The standardised nature of questions makes it possible to isolate variables such as age, gender and social class to understand how these factors affect educational outcomes.
They are relatively inexpensive to administer, allowing researchers to reach larger samples and potentially achieve more representative results. Questionnaires can effectively identify correlations, such as examining the relationship between poverty and educational attainment.
The anonymous nature of questionnaires means respondents may be more truthful, particularly students who might otherwise fear getting into trouble with teachers.
Limitations of questionnaires
Questionnaires typically have low validity, meaning responses may be less truthful. Students might provide socially desirable answers rather than honest ones, particularly when questions relate to sensitive educational issues.
When researching younger children, reading difficulties may prevent proper completion of questionnaires. Teachers, parents and students may be too busy to respond, resulting in low response rates and unrepresentative samples.
Questionnaires struggle to uncover deep meanings about educational issues. For example, they cannot effectively explore why students reject certain academic subjects or the complex reasons behind educational inequalities.
Researchers may unintentionally impose their own views through question design, creating bias. Standardised closed questions may prevent respondents from raising other important issues the researcher hasn't considered.
Schools may be reluctant to grant permission for questionnaire research if they fear it might reveal damaging information about the institution.
Research Example: Caroline Benfield (2007)
Benfield used a large sample of approximately 25,000 students who completed standardised questionnaires three years after graduation to establish their salary levels.
Key Findings:
- Despite women often achieving better educational results, they earned less than men in equivalent jobs
- This suggested that gendered subject choices during education may lead women towards lower-paid, lower-status occupations
Method Benefits: The large sample size provided statistical reliability and the standardised approach allowed for clear comparisons across gender lines.
Interviews
Interviews are face-to-face research methods using open (unstructured), closed (structured) questions, or combinations of both approaches. They can involve individual participants or groups and offer flexibility in exploring educational issues in depth.
Types of interviews
- Structured interviews use predetermined, standardised questions asked in the same order to all participants
- Unstructured interviews allow conversations to develop naturally without fixed questions
- Semi-structured interviews combine both approaches, starting with set questions before allowing more open discussion
- Group interviews involve multiple participants discussing issues together
Strengths of interviews
Interviews excel at uncovering meanings connected to educational issues through building close rapport with respondents. Interviewers can explain questions, which proves particularly beneficial when working with younger students who might struggle with written questionnaires.
Researchers can observe body language and group interactions during interviews, revealing important insights about educational dynamics. Interviews often produce unexpected responses, allowing participants to share alternative perspectives on educational issues that researchers hadn't anticipated.
When interviews are overt, researchers can ask follow-up questions to clarify responses and gain deeper understanding.
Limitations of interviews
Interviews have low reliability because each conversation differs, making it difficult to compare responses and draw specific conclusions about educational issues. The method is extremely time-consuming, and teachers, students and parents have limited availability during school hours.
Teachers and students may be suspicious of researchers, particularly when interviews occur within schools. They might view researchers as authority figures and alter their responses to appear socially desirable.
Interviews require considerable skill from researchers, especially when working with young children. Bias can significantly affect results if researchers ask leading or subjective questions.
Research Example: George Farkas and Kurt Beron (2001)
Farkas and Beron used structured interviews to investigate verbal skills among parents and children aged 3-14.
Key Findings:
- Children from disadvantaged backgrounds typically had poorer verbal skills
- This led to worse educational outcomes
- Evidence that both material and cultural deprivation contribute to educational inequalities
Method Analysis: The structured approach enabled quantitative data collection about specific language skills, making results comparable and clear. However, this method may have been biassed by researchers' preconceptions about important language skills.
Research Example: Ruth Lupton (2004)
Lupton conducted unstructured interviews to examine relationships between poor neighbourhoods and underachieving schools, selecting four schools in the most deprived 3% of areas nationally.
Key Findings:
- Strong correlations between deprived areas and failing schools
- Compensatory educational policies had some positive impact on disadvantaged students
Method Benefits: Unstructured interviews proved valuable for building rapport with respondents about this sensitive topic, potentially producing more valid results than structured approaches.
Research Example: Paul Willis (1977)
Willis used group interviews to explore why working-class children often end up in working-class jobs, studying 12 working-class boys during their final school year and early employment.
Key Discovery: Identified two groups - the 'lads' and the 'ear 'oles' - and observed how laughter served as a coping mechanism for dealing with boredom, authority and repetitiveness in both school and workplace settings.
Method Analysis: This approach allowed respondents to act naturally, enabling rich data collection about educational attitudes. However, the study was time-consuming, required considerable researcher skill, and produced findings that were not representative or generalisable.
Observation
Observation involves researchers watching participants in natural settings. This method can be overt (participants know they're being observed), covert (participants don't know), participant (researcher joins the group) or non-participant (researcher observes without involvement). Observation typically produces qualitative data but can also generate quantitative information.
Types of observation
- Overt observation occurs when researchers tell participants they are being watched
- Covert observation happens without participants' knowledge
- Participant observation involves researchers joining the group being studied
- Non-participant observation means researchers observe without getting directly involved in activities
Strengths of observation
Observation preserves natural settings, meaning participants don't change their behaviour artificially, avoiding the Hawthorne effect and producing more valid results. Researchers can observe body language and interactions rather than relying solely on verbal responses.
When observation is overt, researchers can ask questions to clarify what they've witnessed. The method may uncover new, unexpected information about educational processes and relationships.
Regular observations already occur in schools through Ofsted inspections, so additional researcher presence may not significantly affect teacher or student behaviour. Teachers can express themselves clearly and articulate their educational philosophies effectively.
All aspects of school life can be observed, including playgrounds, classrooms, assemblies and parent meetings, providing comprehensive insights into educational environments.
Limitations of observation
Gaining consent from schools for observation can be difficult, especially if research might reveal potentially damaging information. Covert observation would be particularly challenging to justify or gain approval for in educational settings.
Observation requires considerable skill, particularly participant observation, and researchers may need to develop new competencies. When observing children, researchers face challenges as they're likely to be perceived as authority figures due to age differences.
Recording information can be difficult, and strict data protection rules apply when researching children. Researchers' social characteristics may limit their ability to investigate certain issues related to class, gender or ethnicity effectively.
Researchers may lose objectivity and provide biassed or subjective accounts of school life. The time-intensive nature of observation means only small numbers of participants can be studied, making generalisation to other educational settings difficult.
Research Example: Barry Troyna and Richard Hatcher (1992)
Troyna and Hatcher explored racism in children's lives through non-participant observation in mainly white urban primary schools, observing 10 and 11-year-old students.
Key Findings: Where black students were a relative minority, racism and harassment occurred much more frequently.
Method Benefits: Non-participant observation allowed researchers to carefully watch children's body language and behaviour without the Hawthorne effect affecting validity.
Research Example: Cecile Wright (1992)
Wright conducted participant observation during a three-year study of four inner-city primary schools to understand ethnic minority children's school experiences, observing 970 students and 57 staff.
Key Findings: While most teachers seemed genuinely committed to equality ideals, considerable discrimination occurred in classrooms, and children from different ethnic backgrounds did experience schooling differently.
Method Analysis: Participant observation created a very naturalistic research setting, producing more valid results. However, teachers and students may have altered their behaviour due to being watched.
Experiments
Educational experiments typically take the form of field experiments - scientific methods of investigation conducted in real-world settings rather than artificial laboratory conditions. These allow researchers to test specific hypotheses about educational processes and outcomes.
Research Example: Robert Rosenthal and Lenore Jacobson (1968)
Rosenthal and Jacobson conducted a field experiment in a Californian primary school to examine teacher expectations' effects on student achievement.
Method: They told teachers they had a special test identifying children likely to be 'spurters' with particular academic abilities, but this was actually a normal IQ test. Researchers randomly selected 20% of students and falsely reported these children were spurters.
Key Findings: A year later, nearly half of the labelled 'spurters' had made significant gains compared to other students, demonstrating the power of teacher labelling effects and self-fulfilling prophecy.
Ethical Concerns: The research faced widespread criticism for ignoring potentially long-term damaging effects on students academically and socially.
Case Studies
Case studies involve detailed research conducted at one particular location, such as a specific school. They provide in-depth examination of educational institutions and processes but face limitations regarding generalisability.
Strengths of case studies
Case studies generate detailed, valid information about individual educational institutions, potentially uncovering unexpected findings that broader research might miss. Researchers can use multiple methods - known as triangulation - or combine positivist and interpretivist approaches through methodological pluralism to build comprehensive understanding of school life.
Limitations of case studies
Case studies are non-representative, making generalisation about all schools difficult based on research at a single institution. They are very time-consuming and demanding, requiring researchers to understand all aspects of school life comprehensively.
Research Example: Anne Wilkin et al (2003)
Wilkin and colleagues researched extended schools' possible effects, conducting telephone interviews with 50 schools and selecting 10 for detailed case studies.
Focus: Investigated perceived impacts on students, families, communities, professional roles and teacher workload from preschool and after-school activities.
Key Findings:
- Improved student attainment, attendance and behaviour
- Enhanced education by making schools into community resource and support centres
Method Value: Demonstrated case studies' ability to understand multiple aspects of educational institutions in detail, producing rich, valid results, though findings cannot be generalised due to potential unrepresentativeness.
Longitudinal Research
Longitudinal research takes place over significant time periods, allowing researchers to observe changes in educational processes and outcomes over time rather than taking single 'snapshots'.
Strengths of longitudinal research
This approach enables understanding of change in educational issues over time, such as observing educational policy impacts across extended periods. Researchers may develop strong rapport with participants throughout their educational careers, leading to highly valid data.
Variable effects on students' lives - including class, ethnicity and gender influences - can be understood over time periods spanning preschool through university and work. The method can combine qualitative and quantitative data, producing rich information about educational issues.
Limitations of longitudinal research
Longitudinal research is extremely time-consuming and demanding for researchers. Teachers, students and parents may change over time, affecting access to participants. Sample attrition occurs when participants drop out for various reasons, including moving away or losing commitment to the research.
Researchers may lose objectivity, and relationships with participants could become subjective. Educational issues and concepts may change in how they're measured over time, making comparisons more difficult - for example, social class measurements evolving over decades.
Research Example: Sue Roulstone et al (2011)
Roulstone and colleagues investigated language's role in children's early educational outcomes, examining how young children communicate during their first two years and preparation for school entry.
Method: Used data from a large longitudinal survey examining children's learning environments, including activities, mother's attitudes and family support systems, with data collection involving children's schools and the Department for Education.
Key Findings: Despite social class influences, children's early language made important contributions to performance variations when entering primary school.
Method Benefits: Conducting research over extended time periods illuminated long-term language use effects rather than snapshot views, making results more valid. However, this proved time-consuming with sample attrition risks.
Secondary Data
Educational settings contain vast amounts of secondary data - information collected by others that already exists. This includes both qualitative and quantitative data from public and private documents, policies and national statistics.
Types of secondary data
Qualitative secondary data includes:
- Ofsted reports
- School brochures
- Media coverage
- Student reports
- Wall displays
- Student work
- Educational policies
Quantitative secondary data encompasses:
- Results information
- League tables
- Attendance data
- Exclusion data
- Free school meals data
- National statistics
Strengths of secondary data
Secondary data occurs naturally, providing insights into educational issues without artificial research interference. Large amounts of public data are freely available, giving researchers excellent opportunities for specific educational research.
The method can reveal information about variables like social class and ethnicity that might otherwise be difficult to access. Secondary data can show changes over time regarding attainment, attitudes and educational policies.
Qualitative methods can compare results with quantitative secondary data to achieve more valid understanding of educational issues.
Limitations of secondary data
Access can be difficult when data relates to personal information held by schools or parents who may be unwilling to share it. Governments and schools may change data measurement or recording methods, making temporal comparisons difficult.
Publicly available educational data may not provide answers to specific research questions - required data simply might not exist. For example, educational attainment and ethnicity data hasn't always been available historically.
Accessing and gaining permission for certain data concerning students, parents and teachers can be challenging. Schools may resist sharing information that might reflect negatively on them or damage their reputation.
Secondary data might be biassed or collected subjectively to favour particular viewpoints, such as recording results differently to make institutions appear more successful.
Research Example: Lesley Best (1992)
Best conducted content analysis of gender roles in preschool books, finding that school reading schemes portrayed males and females in traditional stereotypical roles.
Key Findings: Women appeared as caring figures while males were portrayed as more powerful.
Method Analysis: This proved particularly useful for exploring meanings attached to gender differences. However, there was danger of the researcher interpreting books in biassed ways, potentially overstating sexism due to her feminist perspective.
Research Example: Anushka Asthana (2007)
Asthana conducted statistical analysis of girls' results at single-sex independent schools.
Key Findings: 68.6% achieved A* and A grades compared to 53.7% in private mixed-gender schools, with similar patterns at A-level.
Explanation: According to head teachers, girls at single-sex schools outperformed those at mixed schools because teachers tailored lessons to suit girls' particular skills, including debate, longer essays and books chosen to interest women specifically.
Key Concepts for Methods in Context
Understanding key sociological concepts helps evaluate different methods' appropriateness for educational research:
- Positivism: Scientific approach favoured by early sociologists, focusing on objective social facts collection
- Interpretivism: Theoretical approach explaining human behaviour through interpretation of meanings behind individual actions
- Reliability: The extent to which research, if repeated, would achieve consistent results
- Validity: The extent to which research accurately reflects real-life situations
- Representativeness: The extent to which small sample groups reflect larger populations' characteristics
- Primary data: Information collected first-hand by researchers
- Secondary data: Information collected by others that already exists
- Hawthorne effect: Where people behave differently when they know they're being observed
- Social desirability bias: Where people respond in ways that make them appear positive rather than truthful
Key Points to Remember:
- Each method has specific strengths and limitations - questionnaires offer reliability but lack depth, while interviews provide rich data but are time-consuming and less reliable
- Context matters in education - factors like school gatekeepers, parental consent and student age affect method choice and implementation
- Triangulation improves validity - using multiple methods or combining quantitative and qualitative approaches provides more comprehensive understanding
- Practical constraints are real - time, cost, access and ethical considerations significantly influence which methods researchers can actually use in educational settings
- No method is perfect - all research approaches involve trade-offs between different strengths and limitations that researchers must carefully consider