3.1.1

Aims, Hypotheses & Sampling

Test yourself

Aims and Hypotheses

Each research study specifies aims and hypotheses. An aim is what it is trying to achieve, while a hypothesis is a specific prediction of what it will find.

Illustrative background for AimIllustrative background for Aim ?? "content

Aim

  • A researcher usually states the aim of their study.
  • This involves saying what they are trying to achieve, or what the point of their study is.
  • Usually the aim is linked to a real-world purpose, i.e. a reason why it is important to find something out.
    • For example, a researcher may state that they aim to find out the effect of caffeine on sleep.
Illustrative background for HypothesesIllustrative background for Hypotheses ?? "content

Hypotheses

  • A hypothesis is different from an aim.
  • It involves making a specific prediction of what will be found, expressed in terms of a change in variables.
  • Usually the hypothesis is based on theories and on past research findings, i.e. there is a theoretical rationale for the hypothesis.
    • For example, a researcher may state a hypothesis that consuming 200mg of caffeine will increase the length of time it takes people to fall asleep compared to having no caffeine.
Illustrative background for Experimental vs alternativeIllustrative background for Experimental vs alternative ?? "content

Experimental vs alternative

  • In an experiment, the researcher’s main hypothesis is known as an experimental hypothesis. It is also referred to as H1.
  • In a non-experimental study, it is typically called an alternative hypothesis.
Illustrative background for Null hypothesisIllustrative background for Null hypothesis ?? "content

Null hypothesis

  • Most studies also clearly state a null hypothesis (sometimes referred to as H0).
  • This is a statement of what will be found if the experimental/alternative hypothesis is not supported by the results.

Populations and Samples

Any research study needs a group of participants. These are called the sample, and they are drawn from a wider group called the target population.

Illustrative background for SamplingIllustrative background for Sampling ?? "content

Sampling

  • Sampling means selecting a group of participants who will take part in the study.
Illustrative background for PopulationsIllustrative background for Populations ?? "content

Populations

  • A sample always comes from a broader population.
  • This does not necessarily mean the whole population of a country, but could be a specific group.
  • This is known as the target population.
    • For example, all sixth-form school pupils in the country is an example of a target population, and a selection of 50 sixth-form school pupils is an example of a sample.
Illustrative background for RepresentationIllustrative background for Representation ?? "content

Representation

  • A key aspect of sampling is that the sample should be representative of the target population.
  • This means that they should have similar characteristics.
  • Studying a representative sample allows the researcher to generalise the findings to the target population. This is a key aim of any research.

Sampling Techniques

There are multiple ways of obtaining a sample for a research study. Four major sampling techniques are opportunity sampling, systematic sampling, volunteer sampling and stratified sampling.

Illustrative background for Opportunity samplingIllustrative background for Opportunity sampling ?? "content

Opportunity sampling

  • Opportunity sampling is the most common sampling technique. It involves accessing participants on the basis of their convenient availability to the researcher:
    • Examples of opportunity sampling include conducting research on the researcher’s own friends, classmates or students.
    • Opportunity sampling is very prone to bias because the most easily available participants may not be representative of the target population.
Illustrative background for Systematic samplingIllustrative background for Systematic sampling ?? "content

Systematic sampling

  • Systematic sampling involves applying a regular system or rule when selecting participants:
    • Examples of systematic sampling include picking every 50th person that walks along a corridor, or every 100th name in the phone book, or posting a questionnaire to every 10th house in a village.
    • Systematic sampling reduces researcher bias, but some potential participants may be excluded e.g. because they are not in the phone book or do not live in a house. This leads to bias.
Illustrative background for Volunteer samplingIllustrative background for Volunteer sampling ?? "content

Volunteer sampling

  • Volunteer sampling allows participants to select themselves, such as by responding to an advert or email call for participants:
    • Eg. posting an advert on a school noticeboard, asking people to complete your online survey.
    • One source of bias with volunteer sampling is that certain personalities are more likely than others to come forward and help the research. This may have affected classic research studies such as Milgram’s obedience research and Zimbardo’s Stanford Prison experiment.
Illustrative background for Stratified samplingIllustrative background for Stratified sampling ?? "content

Stratified sampling

  • Stratified sampling involves selecting participants in such a way as to recreate the same proportions of groups that exist in the population:
    • An example of stratified sampling would involve selecting people from different ethnic groups to create a sample with the same proportions as exist in the target population.
    • This reduces bias by making the sample more representative, but before stratification can occur, participants must already have been selected using another sampling technique.

Jump to other topics

1Principles of Science I

1.1Structure & Bonding

1.2Properties of Substances

1.3Cell Structure & Function

1.4Cell Specialisation

1.5Tissue Structure & Function

1.6Working with Waves

1.7Waves in Communication

2Practical Scientific Procedures and Techniques

3Science Investigation Skills

4Principles of Science II

4.1Extracting Elements

4.2Relating Properties to use of Substances

4.3Organic Chemistry

4.4Energy Changes in Industry

4.5The Circulatory System

4.6Ventilation & Gas Exchange

4.7Urinary System

4.8Cell Transport

4.9Thermal Physics

4.10Materials

4.11Fluids

5Contemporary Issues in Science

Unlock your full potential with Seneca Premium

  • Unlimited access to 10,000+ open-ended exam questions

  • Mini-mock exams based on your study history

  • Unlock 800+ premium courses & e-books

Get started with Seneca Premium