OCR A-Level Psychology H567
Research Methods and Techniques
Planning and Conducting Research
Data Recording, Analysis and Presentation
Report Writing and Scientific Communication
Practical Activities and the Nature of Science
Mathematical Requirements for Research Methods
Studying and Evaluating the Core Studies: The Common Framework
Core Studies: Social Area
Core Studies: Cognitive Area
Core Studies: Developmental Area
Core Studies: Biological Area
Core Studies: Individual Differences Area
Areas and Perspectives in Psychology
Debates in Psychology
Practical Applications of Psychology
Issues in Mental Health
Child PsychologyApplied option
Criminal PsychologyApplied option
Environmental PsychologyApplied option
Sport and Exercise PsychologyApplied option
Methodological Issues and Debates Running Through Applied Psychology
Planning and Conducting Research
- 10 subtopics
- 30 things to know
- Component 01
What Planning and Conducting Research covers
Planning and Conducting Research is examined on component 01 of OCR Psychology, Research methods. 124 recall questions across 10 subtopics.
Where it is assessed
Component 01
Research methods, the whole of the first paper.
Check the OCR specification ↗The 10 subtopics
Each one has its own page.
- Aims, research questions and hypothesesRecall questions on research aims and questions, null and alternative hypotheses, operationalising a hypothesis, one-tailed and two-tailed hypotheses, writing hypotheses for example studies, falsifiability, and what happens to the hypotheses when results are or are not significant.Open →
- Target populations, random and opportunity samplingRecall questions on target populations, samples, representativeness and sampling bias, and how random and opportunity samples are drawn, with the strengths and weaknesses of each technique.Open →
- Self-selected, snowball and stratified samplingRecall questions on self-selected, snowball and stratified sampling with their strengths and weaknesses, volunteer bias, calculating a stratified sample, why a large sample can still be unrepresentative, and identifying the technique in a study.Open →
- Repeated measures designRecall questions on what an experimental design is, the repeated measures design and its strengths, order effects, counterbalancing and its limits, and why repeated measures can increase demand characteristics.Open →
- Independent measures and matched participants designsRecall questions on independent measures and matched participants designs, their strengths and weaknesses, reducing participant variables, choosing a design for a study, randomisation, and how design affects the choice of statistical test.Open →
- Variables, operationalisation and control of extraneous variablesRecall questions on independent and dependent variables, operationalisation, control conditions, extraneous and confounding variables, investigator effects, standardised instructions and procedures, single-blind and double-blind procedures, and spotting uncontrolled variables in example studies.Open →
- Behavioural categories, coding frames and time samplingRecall questions on behavioural categories and why they must be operationalised and mutually exclusive, coding frames and piloting them, and time sampling with an example, a strength and a weakness.Open →
- Event sampling and inter-rater reliability in observationsRecall questions on event sampling, its strengths and weaknesses, when it beats time sampling, inter-rater reliability and how to improve it, video recording, and adapting an observation design to a busy setting.Open →
- Closed and open questions, Likert and semantic differential scalesRecall questions on closed and open questions with their strengths and weaknesses, Likert rating scales and the level of data they produce, and semantic differential rating scales and how they differ from Likert scales.Open →
- Writing questionnaire items: wording, fillers and pilotingRecall questions on designing questionnaire items, including leading and double-barrelled questions, jargon and ambiguous wording, filler questions, reverse-worded items, piloting, and combining question types for statistics and depth.Open →
What you need to know
Answer each one before you reveal it.
When is a two-tailed hypothesis the safer choice?
Why does research use samples rather than whole populations?
Give one strength of a repeated measures design relating to participant variables.
Which design needs the most participants to gather the same amount of data, and why?
What is the dependent variable?
What are behavioural categories?
Give two weaknesses of random sampling.
When is snowball sampling particularly useful?
Explain why a very large sample can still be unrepresentative.
A researcher tests whether background noise affects proofreading, but participants are hard to recruit. Which design is most suitable and why?
What is a control condition and why is one used?
Why should a coding frame be piloted before the main observation?
When is event sampling the better choice than time sampling?
Give one weakness of closed questions.
What level of data does a Likert scale produce, and why?
What is meant by an experimental design?
Give one strength of event sampling.
Explain how the leading question, do you agree that homework is a waste of time, could be reworded neutrally.
Why should jargon and ambiguous wording be avoided in a questionnaire?
What is a research aim?
What is a target population?
Describe self-selected sampling.
Describe a repeated measures design.
Describe an independent measures design.
What is the independent variable?
What makes a set of behavioural categories poor?
Give one weakness of event sampling.
What is a closed question?
What is a filler question, and what is it for?
Take Planning and Conducting Research further
The same content, four other ways.
Commonly confused
Pairs that lose marks when they are blurred together.
Null hypothesis vs Alternative hypothesis
Null hypothesis: the prediction that no difference or relationship will be found beyond what chance would produce. Alternative hypothesis: the prediction that a difference or relationship will be found.
One-tailed hypothesis vs Two-tailed hypothesis
One-tailed hypothesis: a prediction that states which direction the results will take. Two-tailed hypothesis: a prediction that a difference will occur without saying which way.
Extraneous variable vs Confounding variable
Extraneous variable: any variable other than the one manipulated that could affect the results if left uncontrolled. Confounding variable: a variable that has changed systematically alongside the manipulation and so spoils the conclusion.
Questions from this topic
Each one with the model answer underneath.
- 1
What is a research aim?
Model answer
A general statement of the purpose of a study, setting out what the researcher intends to investigate.
- 2
How does a research question differ from an aim?
Model answer
A research question turns the general aim into a specific question that the study is designed to answer.
- 3
Define the term hypothesis.
Model answer
A precise, testable statement predicting the difference or relationship that the study expects to find.
- 4
What is the null hypothesis?
Model answer
A statement predicting that there will be no difference or relationship between the variables, and that any effect observed is due to chance.
- 5
What is the alternative hypothesis?
Model answer
A statement predicting that there will be a difference or relationship between the variables that is not due to chance alone.
- 6
Which hypothesis does an inferential statistical test actually test?
Model answer
The null hypothesis, since the test decides whether there is enough evidence to reject it.
What is inside Levo
Six ways to work the same material.
Planning and Conducting Research revision questions
- What does Planning and Conducting Research cover in OCR A-Level Psychology?
- 10 subtopics: aims, research questions and hypotheses, target populations, random and opportunity sampling, self-selected, snowball and stratified sampling, repeated measures design, independent measures and matched participants designs, variables, operationalisation and control of extraneous variables, behavioural categories, coding frames and time sampling, event sampling and inter-rater reliability in observations, closed and open questions, likert and semantic differential scales and writing questionnaire items: wording, fillers and piloting. Each one has its own page with questions and model answers.
- How is Planning and Conducting Research organised?
- By the OCR H567 specification, subtopic by subtopic, so it matches the order you are taught it in.
Every question in Planning and Conducting Research, on a schedule.
Attempt a question from memory, write the correct version, then attempt it again. Levo records the jump between your first attempt and your last, and brings each question back on the day you are due to forget it.
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