The Process of Research and Statistical Analysis in Psychology by Dawn M. McBrid

Description: FREE SHIPPING UK WIDE The Process of Research and Statistical Analysis in Psychology by Dawn M. McBride The Process of Research and Statistical Analysis in Psychology presents integrated coverage of psychological research methods and statistical analysis to illustrate how these two crucial processes work together to uncover new information. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description The text opens with introductory discussions of why and how psychologists conduct and analyze research, walks students through the basics of using statistics, and concludes with the "nuts and bolts" of research methods and statistical analysis. Each chapter contains frequent Stop and Think questions and innovative Thinking About Research exercises to encourage students to consider how to apply these principles to their own research questions. Designed specifically for ease of use in combined statistics and research methods courses, this text is a one stop shop for undergraduate students in psychology. Author Biography Dawn M. McBride is professor of psychology at Illinois State University, where she has taught research methods since 1998. Her research interests include automatic forms of memory, false memory, prospective memory, task order choices, and forgetting. In addition to research methods, she teaches courses in introductory psychology, cognition and learning, and human memory; she also teaches a graduate course in experimental design. She is a recipient of the Illinois State University Teaching Initiative Award and the Illinois State University SPA/Psi Chi Jim Johnson Award for commitment to undergraduate mentorship, involvement, and achievement. Her nonacademic interests include spending time with her family, traveling, watching Philadelphia sports teams (it was a good year for Philly sports this year!), and reading British murder mysteries. She earned her PhD in cognitive psychology from the University of California, Irvine, and her BA from the University of California, Los Angeles. Table of Contents PrefaceAcknowledgmentsAbout the AuthorChapter 1 • Psychological Research: The Whys and Hows of the Scientific Method and DataWhy Should I Care About Research If I Dont Want to Do Research in My Career?Why Psychologists Conduct ResearchPopulations and SamplesTypes of DataFrequency DistributionsSummary of Frequency DistributionsChapter SummaryApplying Your KnowledgeTest YourselfChapter 2 • Developing a Research Question and Understanding Research Reports: Where Research Questions Come FromDeveloping a Research QuestionHow to Conduct a Literature ReviewWhat You Find in a Literature ReviewUsing the Literature Review to Make HypothesesAPA-Style Article WritingOral PresentationsPoster PresentationsChapter SummaryApplying Your KnowledgeTest YourselfChapter 3 • Ethical Guidelines for Psychological ResearchHistorical Context for Ethical GuidelinesCurrent Ethical Guidelines for Human Participants ResearchInstitutional Review BoardsEthics in Reporting ResearchChapter SummaryApplying Your KnowledgeTest YourselfChapter 4 • Probability and SamplingProbability ConceptsSampling TechniquesDistribution of Sample Means IntroductionRecruiting ParticipantsUsing the Internet to SampleChapter SummaryApplying Your KnowledgeTest YourselfChapter 5 • How Psychologists Use the Scientific Method: Data Collection Techniques and Research DesignsData Collection TechniquesTypes of Research DesignsChapter SummaryApplying Your KnowledgeTest YourselfChapter 6 • Descriptive StatisticsCentral Tendency in DistributionsMeanMedianModeWhich Measure of Central Tendency Should I Use?Variability in DistributionsStandard DeviationDescriptive Statistics in GraphsAPA Style for Graphs and TablesChapter SummaryTest YourselfChapter 7 • Independent Variables and Validity in ResearchIndependent VariablesValidity and Sources of BiasChapter SummaryApplying Your KnowledgeTest YourselfChapter 8 • One-Factor ExperimentsManipulation of Independent VariablesControl in Within-Subjects and Between-Subjects ExperimentsExperiment ExamplesChapter SummaryApplying Your KnowledgeTest YourselfChapter 9 • Hypothesis-Testing LogicThe z Score TransformationThe Normal DistributionUsing the Normal Distribution to Determine the Probability of a Sample MeanUsing the Normal Distribution to Test HypothesesLogic of Hypothesis TestingTypes of Hypothesis-Testing ErrorsStatistical SignificanceChapter SummaryTest YourselfChapter 10 • t TestsThe t DistributionOne-Sample t TestConducting a One-Sample t Test Using SPSSOne-Sample t Test AssumptionsSamples With Related or Paired DataCalculating a Related or Paired Samples t TestConducting a Related or Paired Samples t Test Using SPSSPaired Samples t Test AssumptionsIndependent SamplesCalculating the Independent Samples t TestConducting an Independent Samples t Test Using SPSSIndependent Samples t Test AssumptionsChapter SummaryTest YourselfChapter 11 • One-Way Analysis of VarianceMore Than Two Independent SamplesCalculating the F Score in an Analysis of VarianceConducting a One-Way Between-Subjects Analysis of Variance Using SPSSTest AssumptionsChapter SummaryTest YourselfChapter 12 • Correlation Tests and Simple Linear RegressionCorrelation Versus CausationHypothesis Testing With Pearson rConducting a Pearson r Test Using SPSSRegression AnalysesNonlinear RelationshipsChapter SummaryTest YourselfChapter 13 • Chi-Square TestsParametric Versus Nonparametric TestsObserved Versus Expected FrequenciesCalculating a Chi-Square by HandCalculating a Chi-Square Test Using SPSSChapter SummaryTest YourselfChapter 14 • Multifactor ExperimentsFactorial DesignsMore About InteractionsExperiment ExamplesChapter SummaryApplying Your KnowledgeTest YourselfChapter 15 • Two-Way Analysis of VarianceFactorial DesignsCalculating a Two-Way Analysis of VarianceCalculating Two-Way Between-Subjects Analysis of Variance Using SPSSTest AssumptionsChapter SummaryTest YourselfChapter 16 • One-Way Within-Subjects Analysis of VarianceWithin-Subjects DesignsCalculating a Within-Subjects Analysis of VarianceCalculating One-Way Within-Subjects Analysis of Variance Using SPSSTest AssumptionsMore Complex Within-Subjects DesignsChapter SummaryTest YourselfAppendix A: Sample APA-Style Research ReportAppendix B: Answers to Stop and Think QuestionsAppendix C: Unit Normal Table (z Table)Appendix D: t Distribution TableAppendix E: F Distribution TableAppendix F: Pearson r Critical Values TableAppendix G: Chi Square Critical Values TableGlossaryReferencesIndex Review "This text provides an introduction to the entire research process from the development of the research question to the analysis of data. There is a stepwise, methodical approach to each aspect of research design and analysis, which undergraduate students are likely to find approachable." -- Emily Coyle Review Quote "This text provides an introduction to the entire research process from the development of the research question to the analysis of data. There is a stepwise, methodical approach to each aspect of research design and analysis, which undergraduate students are likely to find approachable." Details ISBN1544361998 Author Dawn M. McBride Publisher SAGE Publications Inc ISBN-10 1544361998 ISBN-13 9781544361994 Format Paperback Imprint SAGE Publications Inc Place of Publication Thousand Oaks Country of Publication United States DEWEY 150.72 Pages 496 Year 2020 Publication Date 2020-02-12 Language English UK Release Date 2020-02-12 NZ Release Date 2020-02-12 US Release Date 2020-02-12 Audience Tertiary & Higher Education AU Release Date 2020-02-11 We've got this At The Nile, if you're looking for it, we've got it. 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