Aims in sociological research

Sociological research begins with clear aims that guide the entire study. An aim is a broad statement or research question that describes the intended outcome of a study. For example, a sociologist might set an aim to explore the potential link between poverty and crime rates in urban areas. Most research projects have one or two main aims, which often lead to the formation of hypotheses.

Hypotheses in sociological research

Once an aim is established, researchers often create hypotheses to make the study testable. A hypothesis is an informed prediction or guess about whether something is true or if there is a relationship between variables. It can be tested using research methods to determine if a correlation or a cause-and-effect relationship exists. Hypotheses are also known as conjectures.

Key elements of hypotheses

Variables are factors that can change in a study. There are two main types:

Types of variables:

• Independent variable - The factor that causes a change.
• Dependent variable - The factor that is affected or changed.

Primary data in sociological research

Primary data refers to information collected first-hand by the researcher using methods tailored to the study. For instance, a sociologist might use questionnaires, conduct interviews, or carry out observations.

Secondary data in sociological research

Secondary data is information that has already been gathered by others, often not sociologists, and made available in written or published form.

Main types of secondary data

• Official statistics - Data collected and organised by governments on aspects of social life. These are accessible through government websites or documents.
• Mass media reports - Journalistic articles or analyses that describe social events or issues.
• Documents - Written records that can be personal or public.

Types of documents

Private or personal documents:

• Items created by individuals, such as diaries or autobiographies.
• Examples include the diaries of Anne Frank or those of politician Tony Benn, often written with future publication in mind.
• Sometimes, sociologists or governments request individuals to keep diaries for research purposes.

Public documents:

• Formal reports based on expert evidence into specific events or problems.
• For instance, the Chilcot Inquiry into Britain's involvement in the Iraq invasion produced a report numbering 2.6 million words, published in 12 volumes.
• Other examples include inquiries into the Hillsborough disaster and the police handling of the murder of Black student Stephen Lawrence.

Operationalisation in sociological research

Operationalisation is the method of breaking down a hypothesis, concept, or theory into specific, quantifiable elements that can be measured or observed. For example, to study social class, a researcher might operationalise it by asking about a person's occupation and categorising it using the government's National Statistics Socio-Economic Classification (NS-SEC), which divides jobs into middle-class or working-class groups. Additional details could come from questions on income, education, and lifestyle choices.

Applications of operationalisation

• In surveys - A hypothesis might be turned into a standardised questionnaire with questions designed to measure variables, such as the influence of cultural capital.
• In observations - It could involve creating an observation schedule, which is a list of expected behaviours to watch for in a particular setting.

Research example: Noble and Davies

Sociologists Noble and Davies operationalised cultural capital by surveying students about their parents' educational and occupational backgrounds, as well as their own leisure activities and the cultural interests encouraged by their parents.

Pilot studies in sociological research

A pilot study is a small-scale trial run of the proposed research, using a limited sample to test the research tools. It acts like a dress rehearsal for a larger survey, checking for reliability, eliminating biases, and assessing the representativeness and validity of the data.