Research Design Flashcards
Hypothesis
A hunch or an informed guess.
A testable statement either proved by the evidence found or proved wrong.
Positivism
Positivists favour a scientific approach.
They prefer quantitative methods.
Interactionism
Interactionists favour a human understanding of behaviour approach.
They prefer qualitative methods.
Case Study
A case study is a research method that involves an in-depth examination of a single individual, group, event, or phenomenon.
It involves collecting detailed information from various sources, such as interviews, observations, documents, or archival records, to provide a comprehensive understanding of the case being studied.
Pilot Study
A small-scale study carried out before the main research. Allows the researcher to test the chosen methods and ensure they are appropriate.
Sample
Samples are essential in sociological research as they allow researchers to draw inferences about a population based on the characteristics of the sample, without having to study every member of the population.
Random Sampling
Names out of a hat.
A way of selecting individuals or items from a population so that each member has an equal chance of being chosen.
It’s like picking names out of a hat — everyone’s name has the same chance of being picked. This helps make sure that the sample represents the population fairly and reduces bias in research.
Systematic Sampling
Every ‘nth’ person.
A method of selecting individuals or items from a population by choosing every nth member from a list or sequence.
It’s like selecting every 5th person from a line. This method ensures that the sample is spread out evenly across the population, making it easier to gather representative data without needing to randomly select each individual.
Snowball Sampling
Researchers start with a small group of participants who meet certain criteria, then ask them to refer others who also meet the criteria, and so on.
This method is often used when the population being studied is hard to reach or identify, such as marginalised communities or rare populations.
Quota Sampling
Researchers divide the population into groups based on certain characteristics (such as age, gender, or ethnicity) and then select participants from each group in proportion to their representation in the population. It’s not random.
Stratified Sampling
In stratified sampling, researchers divide subjects into subgroups called strata based on characteristics that they share (e.g., race, gender, educational attainment). Once divided, each subgroup is randomly sampled using another probability sampling method. It’s random.
Representative Sampling
A method used in research to select a sample that accurately reflects the characteristics of the population from which it is drawn. It’s like taking a small slice of cake that looks just like the whole cake.
Sampling Frame
A big list of everyone or everything you might want to study. It’s the starting point for selecting who or what will be included in your research sample.
Primary Data
Refers to information that is collected firsthand by the researcher specifically for the purpose of their study.
It’s like doing your own investigation to gather new information rather than relying on what others have already collected. Primary data can be gathered through methods like surveys, interviews, observations, or experiments. It’s valuable because it’s fresh and directly relevant to the research question, allowing researchers to tailor their data collection to meet their specific needs.
Secondary Data
Refers to information that has been collected by someone else for a different purpose but is used by researchers in their own studies.
It’s like borrowing a book from the library instead of writing it yourself. Secondary data can include sources like books, articles, government reports, and datasets. Researchers analyse and interpret secondary data to answer their research questions or test hypotheses without collecting new information themselves.