Statistics for Psychology

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Emphasizing meaning and concepts, not just symbols and numbers Statistics for Psychology, 6th edition places definitional formulas center stage to emphasize the logic behind statistics and discourage rote memorization. Each procedure is explained in a direct, concise language and both verbally and numerically. MyStatLab is an integral part of the Statistics course. MyStatLab gives students practice with hundreds of homework problems. Every problem includes tools to help students understand and solve each problem - and grades all of the problems for instructors. MyStatLab also includes tests, quizzes, eText, a Gradebook, a customizable study plan, and much more. Learning GoalsUpon completing this book, readers should be able to: Know both definitional and numerical formulas and how to apply them Understand the logic behind each formula Expose students to the latest thinking in statistical theory and application Prepare students to read research articles Learn how to use SPSS

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In this Section:1. Brief Table of Contents2. Full Table of Contents 1. BRIEF TABLE OF CONTENTS Chapter 1 Displaying the order in a group of numbersChapter 2 Central tendency and variabilityChapter 3 Some key ingredients for inferential statistics: Z scores, the normal curve, sample versus population, and probabilityChapter 4 Introduction to hypothesis testingChapter 5 Hypothesis testing with means of samplesChapter 6 Making sense of statistical significance: Effect size and statistical powerChapter 7 Introduction to the t test: Single sample and dependent meansChapter 8 The t test for independent meansChapter 9 Introduction to the analysis of varianceChapter 10 Factorial analysis of varianceChapter 11 CorrelationChapter 12 PredictionChapter 13 Chi-square testsChapter 14 Strategies when population distributions are not normal: Data transformations and rank-ordertestsChapter 15 Integration and the general linear model and Making sense of advanced statistical procedures inresearch articles 2. FULL TABLE OF CONTENTS Chapter 1: Displaying the order in a group of numbersThe Two Branches of Statistical MethodsSome Basic ConceptsFrequency TablesHistogramsShapes of Frequency DistributionsControversy: Misleading GraphsFrequency Tables and Histograms in Research ArticlesSummaryKey Terms Example Worked-Out ProblemsPractice ProblemsUsing SPSSChapter Note Chapter 2: Central tendency and variabilityCentral TendencyVariabilityControversy: The Tyranny of the MeanCentral Tendency and Variability in Research ArticlesSummaryKey Terms Example Worked-Out ProblemsPractice ProblemsUsing SPSSChapter Note Chapter 3: Some key ingredients for inferential statistics: Z scores, the normal curve, sample versus population, and probabilityZ ScoresThe Normal CurveSample and PopulationProbabilityControversies: Is the Normal Curve Really So Normal? And Using Nonrandom SamplesZ Scores, Normal Curves, Samples and Populations, and Probabilities in Research ArticlesAdvanced Topics: Probability Rules and Conditional ProbabilitiesSummaryKey Terms Example Worked-Out ProblemsPractice ProblemsUsing SPSSChapter Note Chapter 4: Introduction to hypothesis testingA Hypothesis-Testing ExampleThe Core Logic of Hypothesis TestingThe Hypothesis-Testing ProcessOne-Tailed and Two-Tailed Hypothesis TestsControversy: Should Significance Tests Be Banned?Hypothesis Tests in Research ArticlesSummaryKey Terms Example Worked-Out ProblemsPractice ProblemsUsing SPSSChapter Note Chapter 5: Hypothesis testing with means of samplesThe Distribution of MeansHypothesis Testing with a Distribution of Means: The Z TestControversy: Marginal SignificanceHypothesis Tests About Means of Samples (Z Tests) and Standards Errors in Research ArticlesAdvanced Topic: Estimation, Standard Errors, and Confidence IntervalsAdvanced Topic Controversy: Confidence Intervals versus Significance TestsAdvance Topic: Confidence Intervals in Research ArticlesSummaryKey Terms Example Worked-Out ProblemsPractice ProblemsUsing SPSSChapter Note Chapter 6: Making sense of statistical significance: Effect size and statistical powerDecision ErrorsEffect SizeStatistical PowerWhat Determines the Power of StudyThe Role of Power Interpreting the Results of a StudyControversy: Statistical Significance versus Effect SizeDecision Errors, Effect Size, and Power in Research ArticlesAdvanced Topics; Figuring Statistical PowerSummaryKey Terms Example Worked-Out ProblemsPractice ProblemsUsing SPSSChapter Note Chapter 7: Introduction to the t test: Single sample and dependent meansThe t Test for a Single SampleThe t Test for Dependent MeansAssumptions of the t Test for a Single Sample and thet Test for Dependent MeansControversy: Advantages and Disadvantages of Repeated-Measures DesignsSingle Samplet Tests and Dependent Means t Tests in Research Articles SummaryKey Terms Example Worked-Out ProblemsPractice ProblemsUsing SPSSChapter Note Chapter 8: The t test for independent meansThe Distribution of Differences Between MeansHypothesis Testing with a t Test for Independent MeansAssumptions of the t Test for Independent MeansEffect Size and Power for thet Test for Independent MeansReview and Comparison of the Three Kinds oft TestsThe t Test for Independent Means in Research ArticlesAdvanced Topic: Power for the t Test for Independent Means When Sample Sizes Are Not EqualSummaryKey Terms Example Worked-Out ProblemsPractice ProblemsUsing SPSSChapter Note Chapter 9: Introduction to the analysis of varianceBasic Logic of the Analysis of VarianceCarrying Out an Analysis of VarianceHypothesis Testing with the Analysis of VarianceAssumptions in the Analysis of VariancePlanned ContrastsPost Hoc ComparisonsEffect Size and Power for the Analysis of VarianceControversy: Omnibus Tests versus Planned ContrastsAnalyses of Variance in Research ArticlesAdvanced Topic: The Structural Model in the Analysis of VariancePrinciples of the Structural ModelSummaryKey Terms Example Worked-Out ProblemsPractice ProblemsUsing SPSSChapter Note Chapter 10: Factorial analysis of varianceBasic Logic of Factorial Designs and Interaction EffectsRecognizing and Interpreting Interaction EffectBasic Logic of the Two-Way Analysis of VarianceAssumptions in the Factorial Analysis of VarianceExtensions and Special Cases of the Analysis of VarianceControversy: Dichotomizing Numeric VariablesFactorial Analysis of Variance in Research ArticlesAdvanced Topic: Figuring a Two-Way Analysis of VarianceAdvanced Topic: Power and Effect Size in the Factorial Analysis of VarianceSummaryKey Terms Example Worked-Out ProblemsPractice ProblemsUsing SPSSChapter Note Chapter 11: CorrelationGraphing Correlations: The Scatter DiagramPatterns in CorrelationThe Correlation CoefficientSignificance of a Correlation CoefficientCorrelation and CausalityIssues in Interpreting the Correlation CoefficientEffect Size and Power for the Correlation CoefficientControversy: What is a Large Correlation?Correlation in Research ArticlesSummaryKey Terms Example Worked-Out ProblemsPractice ProblemsUsing SPSSChapter Note Chapter 12: PredictionPredictor (X) and Criterion (Y) VariablesThe Linear Prediction RuleThe Regression LineFinding the Best Linear Prediction RuleThe Least Squared Error PrincipleIssues in PredictionMultiple RegressionLimitations of PredictionControversy: Unstandardized and Standardized Regression Coefficients; Comparing PredictorsPrediction in Research Articles Advanced Topic: Error and Proportionate Reduction in ErrorSummaryKey Terms Example Worked-Out ProblemsPractice ProblemsUsing SPSSChapter Note Chapter 13: Chi-square testsThe Chi-Square Statistic and the Chi-Square Test for Goodness of FitThe Chi-Square Test for IndependenceAssumptions for Chi-Square TestsEffect Size and Power for Chi-Tests for IndependenceControversy: The Minimum Expected FrequencyChi-Square Tests in Research Articles SummaryKey Terms Example Worked-Out ProblemsPractice ProblemsUsing SPSSChapter Note Chapter 14: Strategies when population distributions are not normal: Data transformations andrank-order testsAssumptions in the Standard Hypothesis-Testing ProceduresData TransformationsRank-Order TestsComparison of MethodsControversy: Computer-Intensive MethodsData Transformations and Rank-Order Tests in Research ArticlesSummaryKey Terms Example Worked-Out ProblemsPractice ProblemsUsing SPSSChapter Note Chapter 15: Integration and the general linear model and Making sense of advanced statistical procedures in research articlesThe General LinearPartial CorrelationReliabilityMultilevel ModelingFactor AnalysisCasual ModelingProcedures That Compare GroupsAnalysis of Covariance (ANCOVA)Multivariate Analysis of Variance (MANOVA) and Multivariate Analysis of Covariance (MANCOVA)Overview of Statistical TechniquesControversy: Should Statistics Be Controversial?How to Read Results Using Unfamiliar Statistical TechniquesSummaryKey Terms Example Worked-Out ProblemsPractice ProblemsUsing SPSSChapter Note

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