Statistics for Psychology, 6th edition
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Overview
Statistics for Psychology emphasizes meaning and concepts  not just symbols and numbers  and discourages rote memorization. Each procedure is explained in a direct, concise language and both verbally and numerically.
Published by Pearson (July 23rd 2021)  Copyright © 2013
ISBN13: 9780137477968
Subject: Research Methods & Statistics
Category: Statistics for Psychology
Table of contents
In this Section:
 Brief Table of Contents
 Full Table of Contents
1. BRIEF TABLE OF CONTENTS
 Chapter 1 Displaying the order in a group of numbers
 Chapter 2 Central tendency and variability
 Chapter 3 Some key ingredients for inferential statistics: Z scores, the normal curve, sample versus population, and probability
 Chapter 4 Introduction to hypothesis testing
 Chapter 5 Hypothesis testing with means of samples
 Chapter 6 Making sense of statistical significance: Effect size and statistical power
 Chapter 7 Introduction to the t test: Single sample and dependent means
 Chapter 8 The t test for independent means
 Chapter 9 Introduction to the analysis of variance
 Chapter 10 Factorial analysis of variance
 Chapter 11 Correlation
 Chapter 12 Prediction
 Chapter 13 Chisquare tests
 Chapter 14 Strategies when population distributions are not normal: Data transformations and rankorder tests
 Chapter 15 Integration and the general linear model and Making sense of advanced statistical procedures in research articles
2. FULL TABLE OF CONTENTS
 Chapter 1: Displaying the order in a group of numbers
 The Two Branches of Statistical Methods
 Some Basic Concepts
 Frequency Tables
 Histograms
 Shapes of Frequency Distributions
 Controversy: Misleading Graphs
 Frequency Tables and Histograms in Research Articles
 Summary
 Key Terms
 Example WorkedOut Problems
 Practice Problems
 Using SPSS
 Chapter Note
 Chapter 2: Central tendency and variability
 Central Tendency
 Variability
 Controversy: The Tyranny of the Mean
 Central Tendency and Variability in Research Articles
 Summary
 Key Terms
 Example WorkedOut Problems
 Practice Problems
 Using SPSS
 Chapter Note
 Chapter 3: Some key ingredients for inferential statistics: Z scores, the normal curve, sample versus population, and probability
 Z Scores
 The Normal Curve
 Sample and Population
 Probability
 Controversies: Is the Normal Curve Really So Normal? And Using Nonrandom Samples
 Z Scores, Normal Curves, Samples and Populations, and Probabilities in Research Articles
 Advanced Topics: Probability Rules and Conditional Probabilities
 Summary
 Key Terms
 Example WorkedOut Problems
 Practice Problems
 Using SPSS
 Chapter Note
 Chapter 4: Introduction to hypothesis testing
 A HypothesisTesting Example
 The Core Logic of Hypothesis Testing
 The HypothesisTesting Process
 OneTailed and TwoTailed Hypothesis Tests
 Controversy: Should Significance Tests Be Banned?
 Hypothesis Tests in Research Articles
 Summary
 Key Terms
 Example WorkedOut Problems
 Practice Problems
 Using SPSS
 Chapter Note
 Chapter 5: Hypothesis testing with means of samples
 The Distribution of Means
 Hypothesis Testing with a Distribution of Means: The Z Test
 Controversy: Marginal Significance
 Hypothesis Tests About Means of Samples (Z Tests) and Standards Errors in Research Articles
 Advanced Topic: Estimation, Standard Errors, and Confidence Intervals
 Advanced Topic Controversy: Confidence Intervals versus Significance Tests
 Advance Topic: Confidence Intervals in Research Articles
 Summary
 Key Terms
 Example WorkedOut Problems
 Practice Problems
 Using SPSS
 Chapter Note
 Chapter 6: Making sense of statistical significance: Effect size and statistical power
 Decision Errors
 Effect Size
 Statistical Power
 What Determines the Power of Study
 The Role of Power Interpreting the Results of a Study
 Controversy: Statistical Significance versus Effect Size
 Decision Errors, Effect Size, and Power in Research Articles
 Advanced Topics; Figuring Statistical Power
 Summary
 Key Terms
 Example WorkedOut Problems
 Practice Problems
 Using SPSS
 Chapter Note
 Chapter 7: Introduction to the t test: Single sample and dependent means
 The t Test for a Single Sample
 The t Test for Dependent Means
 Assumptions of the t Test for a Single Sample and the t Test for Dependent Means
 Controversy: Advantages and Disadvantages of RepeatedMeasures Designs
 Single Sample t Tests and Dependent Means t Tests in Research Articles
 Summary
 Key Terms
 Example WorkedOut Problems
 Practice Problems
 Using SPSS
 Chapter Note
 Chapter 8: The t test for independent means
 The Distribution of Differences Between Means
 Hypothesis Testing with a t Test for Independent Means
 Assumptions of the t Test for Independent Means
 Effect Size and Power for the t Test for Independent Means
 Review and Comparison of the Three Kinds of t Tests
 The t Test for Independent Means in Research Articles
 Advanced Topic: Power for the t Test for Independent Means When Sample Sizes Are Not Equal
 Summary
 Key Terms
 Example WorkedOut Problems
 Practice Problems
 Using SPSS
 Chapter Note
 Chapter 9: Introduction to the analysis of variance
 Basic Logic of the Analysis of Variance
 Carrying Out an Analysis of Variance
 Hypothesis Testing with the Analysis of Variance
 Assumptions in the Analysis of Variance
 Planned Contrasts
 Post Hoc Comparisons
 Effect Size and Power for the Analysis of Variance
 Controversy: Omnibus Tests versus Planned Contrasts
 Analyses of Variance in Research Articles
 Advanced Topic: The Structural Model in the Analysis of Variance
 Principles of the Structural Model
 Summary
 Key Terms
 Example WorkedOut Problems
 Practice Problems
 Using SPSS
 Chapter Note
 Chapter 10: Factorial analysis of variance
 Basic Logic of Factorial Designs and Interaction Effects
 Recognizing and Interpreting Interaction Effect
 Basic Logic of the TwoWay Analysis of Variance
 Assumptions in the Factorial Analysis of Variance
 Extensions and Special Cases of the Analysis of Variance
 Controversy: Dichotomizing Numeric Variables
 Factorial Analysis of Variance in Research Articles
 Advanced Topic: Figuring a TwoWay Analysis of Variance
 Advanced Topic: Power and Effect Size in the Factorial Analysis of Variance
 Summary
 Key Terms
 Example WorkedOut Problems
 Practice Problems
 Using SPSS
 Chapter Note
 Chapter 11: Correlation
 Graphing Correlations: The Scatter Diagram
 Patterns in Correlation
 The Correlation Coefficient
 Significance of a Correlation Coefficient
 Correlation and Causality
 Issues in Interpreting the Correlation Coefficient
 Effect Size and Power for the Correlation Coefficient
 Controversy: What is a Large Correlation?
 Correlation in Research Articles
 Summary
 Key Terms
 Example WorkedOut Problems
 Practice Problems
 Using SPSS
 Chapter Note
 Chapter 12: Prediction
 Predictor (X) and Criterion (Y) Variables
 The Linear Prediction Rule
 The Regression Line
 Finding the Best Linear Prediction Rule
 The Least Squared Error Principle
 Issues in Prediction
 Multiple Regression
 Limitations of Prediction
 Controversy: Unstandardized and Standardized Regression Coefficients; Comparing Predictors
 Prediction in Research Articles
 Advanced Topic: Error and Proportionate Reduction in Error
 Summary
 Key Terms
 Example WorkedOut Problems
 Practice Problems
 Using SPSS
 Chapter Note
 Chapter 13: Chisquare tests
 The ChiSquare Statistic and the ChiSquare Test for Goodness of Fit
 The ChiSquare Test for Independence
 Assumptions for ChiSquare Tests
 Effect Size and Power for ChiTests for Independence
 Controversy: The Minimum Expected Frequency
 ChiSquare Tests in Research Articles
 Summary
 Key Terms
 Example WorkedOut Problems
 Practice Problems
 Using SPSS
 Chapter Note
 Chapter 14: Strategies when population distributions are not normal: Data transformations and rankorder tests
 Assumptions in the Standard HypothesisTesting Procedures
 Data Transformations
 RankOrder Tests
 Comparison of Methods
 Controversy: ComputerIntensive Methods
 Data Transformations and RankOrder Tests in Research Articles
 Summary
 Key Terms
 Example WorkedOut Problems
 Practice Problems
 Using SPSS
 Chapter Note
 Chapter 15: Integration and the general linear model and Making sense of advanced statistical procedures in research articles
 The General Linear
 Partial Correlation
 Reliability
 Multilevel Modeling
 Factor Analysis
 Casual Modeling
 Procedures That Compare Groups
 Analysis of Covariance (ANCOVA)
 Multivariate Analysis of Variance (MANOVA) and Multivariate Analysis of Covariance (MANCOVA)
 Overview of Statistical Techniques
 Controversy: Should Statistics Be Controversial?
 How to Read Results Using Unfamiliar Statistical Techniques
 Summary
 Key Terms
 Example WorkedOut Problems
 Practice Problems
 Using SPSS
 Chapter Note
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