Investigating Age Income Inequality Through Unstructured Interviews

A student activity for Cambridge OCR Sociology

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Scenario Quiz: Using Unstructured Interviews to Investigate Age Differences in Income Inequality

Read the fictional research scenario carefully, then answer the 10 multiple choice questions.

Scenario

A sociology researcher called Priya wants to investigate age differences in income inequality. She is interested in how income varies between younger adults, middle-aged workers and older people, and in how people from different age groups understand their own financial position. Rather than relying only on official figures about wages or pension income, Priya wants to explore the meanings behind these differences. She is particularly interested in issues such as insecure work for younger adults, career progression and peak earnings in mid-life, and the financial pressures faced by older people living on pensions or reduced employment income. To do this, she decides to use unstructured interviews with participants from a range of age groups.

Priya chooses unstructured interviews because she wants people to describe their experiences in their own words. She believes that age inequality in income is not just about the size of someone’s pay packet, but also about how secure their income feels, how they compare themselves with others, and how their stage in the life course shapes their opportunities and expectations. She interviews people aged 18 to 25, 35 to 50, and over 65. Some are in full-time work, some are in part-time or insecure jobs, and some are retired. The interviews are open-ended, so Priya begins with broad prompts about work, money, household costs and financial worries, then follows up whatever themes emerge.

The method produces rich data. Younger participants often talk about insecure contracts, high housing costs and the difficulty of saving. Middle-aged interviewees are more likely to describe stable earnings but also heavy responsibilities such as mortgages, childcare or supporting older relatives. Older participants give varied answers: some feel financially secure because they own property outright or have occupational pensions, while others talk about relying on a limited state pension and struggling with rising living costs. Priya finds that people’s experiences of income are shaped not only by age itself, but also by employment history, housing, gender, family responsibilities and access to savings.

One strength of the method is that it allows Priya to explore these experiences in depth. Participants can explain how they understand inequality, rather than simply ticking boxes on a questionnaire. Because the interviews are flexible, Priya can follow up unexpected points, ask for examples and explore contradictions. This helps increase validity, because the research captures detailed meanings and lived experience. The interviews also reveal that official income figures may hide important differences within age groups. For example, two retired people may both have low recorded incomes, but one may own a home and have savings while the other faces severe financial insecurity.

However, the method also has limitations. The sample is quite small, so the findings are not representative of all age groups in society. This reduces generalisability. Because the interviews are unstructured, Priya cannot guarantee that every participant is asked exactly the same questions, which weakens reliability. Some interviewees may also present themselves in a socially desirable way, downplaying debt or exaggerating how well they manage financially. Practical issues matter too. Unstructured interviews are time-consuming to conduct and analyse, especially when participants give long, detailed answers. Priya also has to think carefully about ethics. Talking about income can be sensitive, so she must protect confidentiality, avoid causing embarrassment and make it clear that participants can skip questions or withdraw at any time.

From a sociological point of view, Priya’s research shows why unstructured interviews can be useful for investigating age differences in income inequality. They are strong for exploring personal meanings, insecurity and life-course experiences in depth. At the same time, they are weaker for representativeness, reliability and wider generalisability. The study is therefore valuable for understanding how age inequality is lived and interpreted, but less useful for making broad statistical claims about the whole population.

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