Research Methods - Planning Research — OCR GCSE Psychology

Planning research is the cornerstone of OCR GCSE Psychology, covering how researchers establish clear aims, formulate operationalised hypotheses, and select appropriate experimental designs and sampling techniques. It addresses the practical decisions required to isolate cause-and-effect relationships between variables while mitigating extraneous influences.

This topic equips students with the scientific literacy needed to evaluate empirical evidence critically. Across both Paper 1 and Paper 2, research methods questions assess a student's ability to design valid, reliable, and ethical investigations, accounting for roughly a quarter of the total qualification marks.

• →Aims and Hypotheses: Differentiating between null hypotheses and alternative hypotheses (both directional/one-tailed and non-directional/two-tailed).
• →Variable Operationalisation: Precisely defining how the independent variable (IV) is manipulated and how the dependent variable (DV) is measured quantitatively.
• →Experimental Designs: Understanding the implementation, strengths, and limitations of independent measures, repeated measures, and matched pairs designs.
• →Sampling Methods: Selecting and evaluating random, opportunity, stratified, and self-selected (volunteer) sampling techniques in terms of representativeness and bias.
• →Control Techniques: Using standardisation, random allocation, counterbalancing, and single-blind procedures to control extraneous and confounding variables.

• States that a null hypothesis predicts no difference or no correlation between variables.
• States that an alternative hypothesis predicts a difference or a correlation.
• Matches a difference hypothesis to a study comparing groups or conditions.
• Matches a correlation hypothesis to a study examining a relationship between two variables.
• Recognises that the null hypothesis predicts no pattern in either case.
• Identifies the independent variable as the factor the researcher deliberately manipulates or changes between conditions
• Identifies the dependent variable as the factor the researcher measures to record the effect
• Describes a co-variable as a variable measured alongside another to test for a relationship, with neither manipulated
• Explains that extraneous variables are controlled by standardisation, keeping procedures, instructions and setting identical for all participants
• Distinguishes a manipulated independent variable from a measured co-variable in a given scenario
• Defines a repeated measures design as one in which the same participants take part in all conditions
• Defines an independent measures design as one in which different participants take part in each condition
• Explains that repeated measures designs control participant variables but risk order effects such as practice or fatigue
• Explains that independent measures designs avoid order effects but may introduce participant variables between groups
• Identifies counterbalancing as a way to reduce order effects in a repeated measures design
• Defines the target population as the entire group about which the researcher wishes to draw conclusions.
• Explains representativeness as the degree to which a sample's characteristics match those of the target population.
• Links generalisability to the extent findings from a sample can be applied to the wider target population.
• Describes random sampling as giving every member of the target population an equal chance of being selected.
• Identifies opportunity sampling as recruiting participants who are available and willing at the time.
• Identifies self-selected sampling as relying on volunteers who put themselves forward.
• Explains that a larger sample can reduce the distorting effect of atypical individuals but does not remove bias.
• Explains lack of informed consent as participants not being fully informed or not agreeing before taking part.
• Describes protection of participants as safeguarding them from psychological harm such as distress or embarrassment.
• Defines deception as misleading participants about the nature or purpose of the research.
• Explains debriefing as a post-study explanation of the true aims that also checks participant wellbeing.
• Describes the right to withdraw as allowing participants to leave and have their data removed.
• Explains confidentiality as keeping participants' personal information private and unidentifiable.
• Identifies the British Psychological Society's Code of Ethics and Conduct as the professional framework guiding researchers.

• 💡Identify whether the study compares groups or examines a relationship before choosing the hypothesis type.
• 💡Check that the null hypothesis states no difference or no correlation.
• 💡Name both variables clearly in the hypothesis you select.
• 💡Read the scenario and underline what the researcher changes and what the researcher measures before choosing an option
• 💡Check whether the study manipulates a factor or simply measures two variables together, because this decides IV/DV versus co-variables
• 💡When an option mentions control, ask whether it keeps conditions the same for all participants, which is standardisation
• 💡Ask whether the same people or different people appear in each condition, because this single question separates the two designs
• 💡Link each design to one strength and one limitation rather than listing them without connection
• 💡When order effects are mentioned, check whether the option describes counterbalancing rather than random allocation
• 💡Learn one concrete procedure for each sampling method so you can match a scenario to the correct label.
• 💡When asked about generalisability, name the target population explicitly before judging the sample.
• 💡Separate the two judgements: representativeness concerns the sample, generalisability concerns the conclusions drawn from it.
• 💡Match each ethical issue to a specific way of dealing with it rather than listing them separately.
• 💡Use the exact terms informed consent, psychological harm, deception, debriefing, right to withdraw and confidentiality.
• 💡When a scenario is given, name the issue and then state the safeguard that would resolve it.
• 💡Always link evaluations to the context of the stimulus. If asked to evaluate an independent measures design for a memory test, mention specific participant variables such as baseline memory capacity.
• 💡Memorise the exact counterbalancing technique 'ABBA' to remedy order effects in repeated measures designs, as examiners look for this specific procedural term.
• 💡Whenever a question asks you to design a study, include operationalised IV and DV, the exact sampling method, experimental design, control of at least one extraneous variable, and ethical considerations to access top-band marks.

• Writes a null hypothesis that predicts a difference; state that the null predicts no difference or no correlation.
• Uses a correlation hypothesis for a study comparing two groups; use a difference hypothesis for group comparisons.
• Omits the direction or variables from the hypothesis; specify the variables and the predicted relationship.
• Names the measured outcome as the independent variable; label the manipulated factor as the IV and the measured outcome as the DV
• Treats a co-variable as something the researcher changes; describe both co-variables as measured, not manipulated
• Leaves extraneous variables uncontrolled and calls this standardisation; state that standardisation means keeping conditions identical for every participant
• States that repeated measures uses different participants in each condition; describe repeated measures as using the same participants throughout
• Claims that independent measures designs remove participant variables; explain that separate groups may differ in ability or other characteristics
• Says counterbalancing removes all order effects; describe it as balancing the order of conditions across participants to reduce them
• Confuses the target population with the sample; keep the population as the whole group and the sample as the subset actually studied.
• Treats a large sample as automatically representative; recognise that size does not correct a biased selection method.
• Describes opportunity sampling as random; distinguish availability-based recruitment from equal-chance selection.
• Assumes self-selected samples represent the population; note that volunteers often differ from non-volunteers.
• Treats debriefing as a substitute for consent; recognise that debriefing happens afterwards and does not replace obtaining agreement beforehand.
• Confuses confidentiality with anonymity; keep confidentiality as keeping data private and anonymity as removing identifying details.
• Assumes deception is always unacceptable; note that it must be justified and addressed, for example through debriefing.
• Describes the right to withdraw as applying only before the study; recognise it applies throughout, including removal of data.
• Thinking a non-directional hypothesis is the same as a null hypothesis. A non-directional hypothesis predicts a difference between conditions without specifying the direction, whereas a null hypothesis predicts no significant difference at all.
• Confusing order effects with participant variables. Order effects (fatigue and practice) occur exclusively in repeated measures designs, whereas participant variables (individual differences) affect independent measures designs.
• Believing random sampling is entirely free from bias. While random sampling removes researcher bias in participant selection, the final sample may still produce an unrepresentative demographic spread purely by chance.

1. 1Step 1: Learn the core definitions using active recall (aim, null/alternative hypothesis, IV, DV, operationalisation).
2. 2Step 2: Create a comparison table for the three experimental designs, charting procedures, order effects, participant variables, and control methods like counterbalancing.
3. 3Step 3: Practise sampling calculations (e.g. stratified sampling ratios) and formulate directional and non-directional hypotheses from novel research scenarios.
4. 4Step 4: Complete past OCR exam questions focusing on 4-mark and 6-mark 'Design an Experiment' tasks, checking against official mark schemes.

• 📋Short-answer identification: Naming the IV, DV, or extraneous variables from a short research vignette (1-2 marks).
• 📋Hypothesis formulation: Writing a fully operationalised directional or non-directional hypothesis based on a provided scenario (2-3 marks).
• 📋Methodological evaluation: Comparing the strengths and weaknesses of experimental designs or sampling methods within a given context (3-4 marks).
• 📋Extended study design: Outlining a novel psychological investigation from scratch, detailing design, sampling, controls, and ethics (6 marks).