OCR•A-Level•Psychology
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Research Methods
Research methodology, experimental design, data analysis, and scientific processes
Practice 148 subtopics in Research Methods. All questions match the OCR A-Level specification.
About Research Methods
Research Methods is a key topic in the OCR A-Level Psychologyspecification. This topic covers research methodology, experimental design, data analysis, and scientific processes.
Master all 148 subtopics below with unlimited AI-generated questions. Each subtopic page includes sample questions and the ability to generate unlimited practice questions with detailed solutions.
All Subtopics (148)
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Experiment as research methodLaboratory experimentsField experimentsNatural experimentsQuasi-experimentsStrengths of experimentsWeaknesses of experimentsObservation as research methodNaturalistic observationControlled observationParticipant observationNon-participant observationCovert observationOvert observationStrengths of observationsWeaknesses of observationsSelf-report as research methodQuestionnairesStructured interviewsUnstructured interviewsSemi-structured interviewsStrengths of self-reportsWeaknesses of self-reportsCorrelation as research methodPositive correlationNegative correlationZero correlationCorrelation vs causationStrengths of correlationsWeaknesses of correlationsAims in researchHypothesesDirectional hypothesesNon-directional hypothesesNull hypothesisPopulations and samplesTarget populationGeneralisabilitySampling techniquesRandom samplingSelf-selected samplingOpportunity samplingStratified samplingSnowball samplingExperimental designsIndependent measures designRepeated measures designMatched pairs designStrengths and weaknesses of each designVariablesIndependent variableDependent variableExtraneous variablesConfounding variablesParticipant variablesSituational variablesOperationalisation of variablesDesigning observationsBehavioural categoriesTime samplingEvent samplingInter-observer reliabilityDesigning self-reportsOpen questionsClosed questionsRating scalesLikert scalesLeading questionsTypes of dataQuantitative dataQualitative dataPrimary dataSecondary dataDescriptive statisticsMeasures of central tendencyMean calculation and useMedian calculation and useMode calculation and useMeasures of dispersionRange calculationStandard deviation calculationInterpretation of standard deviationData presentationTablesBar chartsHistogramsFrequency polygonsScattergramsNormal distributionCharacteristics of normal distributionSkewed distributionsPositive skewNegative skewInferential testingProbabilitySignificance levelsType I errorsType II errorsChoosing statistical testsChi-squared testWhen to use chi-squaredCalculation of chi-squaredMann-Whitney U testWhen to use Mann-WhitneyWilcoxon signed-ranks testWhen to use WilcoxonSpearman's rhoWhen to use SpearmanCritical valuesOne-tailed vs two-tailed testsReliabilityTest-retest reliabilityInter-rater reliabilitySplit-half reliabilityWays to improve reliabilityValidityInternal validityExternal validityEcological validityPopulation validityTemporal validityFace validityConcurrent validityPredictive validityConstruct validityWays to improve validityEthical issuesBPS ethical guidelinesInformed consentDeceptionRight to withdrawProtection from harmConfidentialityPrivacyDebriefingDealing with ethical issuesSocially sensitive researchIssues in socially sensitive researchImplications of researchFeatures of scienceObjectivityEmpiricismReplicabilityFalsifiabilityTheory constructionHypothesis testingParadigms and paradigm shiftsPeer review process
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