Sampling Methods (WJEC Eduqas GCSE Sociology): Revision Note

Exam code: C200

Raj Bonsor

Written by: Raj Bonsor

Reviewed by: Cara Head

Updated on

What is sampling?

  • Identifying the target population is a part of the research process where sociologists decide what or who they want to study, e.g.,

    • people (students, stay-at-home dads, single mums)

    • institutions (schools, hospitals, prisons)

  • It can be impossible to question the full population, so a sample or subgroup of the population will need to be studied

  • The sample can be selected from a sampling frame:

    • A full list of all members of the population the sociologist wants to study, e.g.,

      • school registers

      • the voters' roll

      • Royal Mail's list of postcodes

  • If the sampling frame is inaccurate, the sample drawn from it will not be representative or typical of the wider population

    • As a result, extrapolating or generalising the results to the wider population is difficult

Sampling methods

  • To select a sample, sociologists can choose from a variety of sampling techniques, some of which are more representative than others

Random samples

  • Some sociologists, e.g., positivists, like to use scientific methods of sampling, such as those below:

Sampling technique

Random

  • Each member of the population has an equal chance of being selected

  • Researchers use random name or number generators to select their sample

Stratified random

  • The researcher may want the sample to reflect the age and gender of the population

  • Stratified sampling involves dividing the population into strata or subgroups, such as females 30 and under, males 31 and over

  • A sample is drawn randomly from each stratum in proportion to its size in the population

  • E.g., if 20% of the population were females aged 31+, then the sample must consist of 20% of females aged 31+

Evaluation

  • Strengths of random sampling methods:

    • Bias is reduced as the researcher does not influence who is selected

    • Samples are selected that aim to be representative of the population

    • Stratified sampling is more representative than random sampling, which could leave out certain groups by chance

  • Weaknesses of random sampling methods:

    • Difficult and time-consuming to conduct in comparison to other sampling methods, as a sampling frame may be difficult to obtain

    • Participants selected may refuse to take part, so a completely representative sample may not be possible

Systematic samples

  • If a random sample is not possible, systematic samples are an alternative

Sampling technique

Systematic

  • Involves taking every 'nth' participant from the sampling frame (such as every 5th name on a register)

  • If the population consists of 500 students and a sample of 100 is required, the researcher will randomly select a number between 1 and 5 until the required number of participants is chosen

Quota

  • Often used by market researchers who interview people on the street

  • They have to interview an exact quota (number) of people from certain categories in proportion to their numbers in the wider sample (similar to stratified sampling)

Evaluation

  • Strengths of systematic sampling methods:

    • With systematic sampling, bias is reduced as the researcher does not influence who is selected

    • Quota sampling may be less time-consuming than other methods, as a sampling frame is not required

  • Weaknesses of systematic sampling methods:

    • A systematic sample is time-consuming to conduct in comparison to quota sampling, as a sampling frame may be difficult to obtain

    • Researchers may tend to choose people who 'look friendly' when carrying out a quota sample

Other sampling techniques

  • These sampling methods are used where no sampling frame is available, and where sociologists aim for non-representative groups

Sampling technique

Snowball

  • The researcher contacts one member of the population, gradually gaining their confidence and trust until they are willing to identify others in the same population who may participate in research, e.g., drug users

Purposive

  • This sample is selected according to a known characteristic

  • Examples include being a headteacher, an MP or a cancer survivor

Opportunity

  • The researcher uses anyone available and willing to take part when the research is being carried out, e.g., undergraduate students

Evaluation

  • Strengths of non-representative sampling methods:

    • Convenient methods, as they save the researcher a lot of time and effort in comparison to probability sampling methods

    • Maybe the only way a researcher can obtain a sample

  • Weaknesses of non-representative sampling methods:

    • Biased, as the researcher has control over who is selected; for instance, they may avoid people they don't like the look of

    • A representative sample cannot be selected, so findings cannot be generalised to the wider population

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Raj Bonsor

Author: Raj Bonsor

Expertise: Psychology & Sociology Content Creator

Raj joined Save My Exams in 2024 as a Senior Content Creator for Psychology & Sociology. Prior to this, she spent fifteen years in the classroom, teaching hundreds of GCSE and A Level students. She has experience as Subject Leader for Psychology and Sociology, and her favourite topics to teach are research methods (especially inferential statistics!) and attachment. She has also successfully taught a number of Level 3 subjects, including criminology, health & social care, and citizenship.

Cara Head

Reviewer: Cara Head

Expertise: Biology & Psychology Content Creator

Cara graduated from the University of Exeter in 2005 with a degree in Biological Sciences. She has fifteen years of experience teaching the Sciences at KS3 to KS5, and Psychology at A-Level. Cara has taught in a range of secondary schools across the South West of England before joining the team at SME. Cara is passionate about Biology and creating resources that bring the subject alive and deepen students' understanding