Research Methods in Psychology: Canadian Edition

Hardcover | October 10, 2014

byHugh Coolican, Owen Kelly

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This comprehensive overview of research methods uses a lively narrative to guide students through every stage of a research project, including planning and conducting studies, analyzing data, and reporting results. Integrating fascinating Canadian research and examples with accessibleexplanations, this is an engaging primer for students of behavioural studies.

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This comprehensive overview of research methods uses a lively narrative to guide students through every stage of a research project, including planning and conducting studies, analyzing data, and reporting results. Integrating fascinating Canadian research and examples with accessibleexplanations, this is an engaging primer for studen...

Hugh Coolican is a senior lecturer in the Department of Psychology and Behavioural Sciences at Coventry University. Owen Kelly is an adjunct research professor and lecturer in the Department of Psychology at Carleton University. In addition to his work on campus, Kelly is a researcher at the University of Ottawa's Institute of Ment...

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Format:HardcoverDimensions:416 pages, 10 × 8 × 0.68 inPublished:October 10, 2014Publisher:Oxford University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0199005591

ISBN - 13:9780199005598

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Table of Contents

Note: All chapters end with:- Exercises- Key Terms1. Psychology, Science, and ResearchWhy Psychology and Science?Science: Not a Subject but a Way of ThinkingSo What Is This Scientific Method?2. Getting StartedHow Psychologists Actually Do Scientific ResearchThe Main Features of a Psychological InvestigationQualitative DataFunding Scientific ResearchConducting Your StudyWriting Your ResultsFinding a Publisher3. Ethical Issues in Psychological ResearchIntroductionCanadian Code of Ethics for PsychologistsTri-Council Policy Statement: Ethical Conduct for Research Involving HumansAmerican Psychological Association Ethical GuidelinesPublication and Access to DataResearch with Human ParticipantsResearch with AnimalsConclusion4. Measuring People: Variables, Samples, and the Qualitative CritiqueVariablesOperational Definitions of Psychological ConstructsPsychological Questionnaires, Tests, and Measurement ScalesOpen and Closed QuestionsAttitude ScalesCentral Issues in the Use of Psychological ScalesScale Items: What to Avoid in Statement ConstructionProjective TestsIntelligence and Personality TestsFactor AnalysisSamplesProbability-Based Sampling MethodsNon-Probability-Based Sampling Methods (Non-EPSEM)Purposive SamplesThe Quantitative/Qualitative Debate5. Experiments and Experimental DesignsThe Role of Experiments in Gathering Evidence: Demonstrating Cause and EffectAlternative ExplanationsSimple Experimental Designs6. How to Evaluate Research CriticallyReliability and Validity: An OverviewReliability, Validity, and Standardization7. Observational Methods: Watching and Being with PeopleObservation in GeneralObservation as a Technique or Overall DesignStructured (or Systematic) ObservationControlled ObservationQualitative Non-Participant ObservationRole Play and SimulationThe Diary MethodParticipant ObservationStrengths of Participant ObservationCase StudiesIndirect Observation8. Interview and Survey MethodsIntroduction: Self-Report MethodsStructured InterviewsEffects of Interpersonal Variables in InterviewsTypes of InterviewSemi-Structured or Open Interviewing: Gathering Qualitative DataSurveys9. Experimental Design 1: Between Subjects DesignsBetween Subjects DesignInterpreting the Results of Basic Two-Group Between Subjects Design ExperimentSingle-Factor Multiple-Group DesignFactorial Designs10. Experimental Design 2: Within Subjects DesignsWithin Subjects Designs: An OverviewExamples of Within Subjects DesignsUsing Mixed Measures Designs11. Significance Testing: Was It a Real Effect?Significance DecisionsThe Null and Alternative HypothesesHow Low Is Low? Rejecting the Null HypothesisThe Standard Significance Level: p 0.05, or 5 per centSignificance Testing: The Basic Model and a Concrete ExampleFrequency Distributions, Probability Distributions, and Rejection RegionsBut Couldn't This Result Just Be a Fluke? Type I ErrorsType II ErrorsThe Question of Power and Effect SizeSignificance LevelsDirectional and Non-Directional Hypotheses: One-Tailed and Two-Tailed TestsConducting a Significance Test: The General Procedure for All Tests12. Quasi-Experiments, Non-Experiments, and Comparison StudiesThe Field and the LaboratoryTrue Experiments and Field ExperimentsThe Quasi-ExperimentNon-Experimental ResearchControl and Validity in the Laboratory and in the FieldWhat Are Comparison Studies?Cross-Sectional StudiesEvaluation of Longitudinal and Cross-Sectional StudiesCross-Cultural Studies13. Correlation: The Association of Measured VariablesThe Nature of CorrelationMeasurement of a CorrelationWhat You Can't Assume with a CorrelationThe ABBA Gambit: For Use in Tests and ExamsCommon Uses of Correlation in PsychologyRegression and Multiple Regression14. Statistics: Organizing the DataMeasuring ThingsA Quick Introduction to Different Levels of MeasurementSummarizing Data: Statistics Are a SelectionMeasures of Central TendencyMeasures of DispersionPopulation Parameters, Sample Statistics, and Sampling ErrorAppendix: Statistical Notations and Symbols15. Planning Your Honours Thesis and Writing Up Your ReportPlanning Your Thesis ProjectWriting Your Thesis ReportSample ReportsAppendix A: Using SPSS to Calculate StatisticsGetting StartedSetting Up VariablesEntering DataSetting Up Your Data File: Unrelated and Related DesignsSummarizing Data: Descriptive Statistics Using SPSSAppendix B: Statistical TablesAppendix C: Graphical Representation of DataIntroductionThe Bar ChartLine ChartsThe HistogramExploratory Data AnalysisUsing SPSS to Produce Your ChartsAppendix D: Answer Key to Exercise BoxesGlossaryReferencesIndex

Editorial Reviews

"This is an excellent book that balances the need to inform with the need to engage; it provides the necessary information for a foundation in research methods without intimidating students by presenting the information as complex formulas, calculations or theories." --Carolyn Ensley, Wilfrid Laurier University