Statistics for Psychology

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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 the*t* Test for Dependent MeansControversy:
Advantages and Disadvantages of Repeated-Measures DesignsSingle
Sample*t* 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 the*t* Test for Independent MeansReview and
Comparison of the Three Kinds of*t* 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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