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Statistics for Psychology, 6th edition

Published by Pearson (July 23, 2021) © 2013

  • Arthur Aron State University of New York at Stony Brook
  • Elliot J. Coups Robert Wood Johnson Medical School, Rutgers State University of New Jersey
  • Elaine N. Aron State University of New York at Stony Brook
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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.

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 Chi-square tests
  • Chapter 14 Strategies when population distributions are not normal: Data transformations and rank-order tests
  • Chapter 15 Integration and the general linear model and Making sense of advanced statistical procedures in research articles

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 Worked-Out 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 Worked-Out 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 Worked-Out Problems
    • Practice Problems
    • Using SPSS
    • Chapter Note
  • Chapter 4: Introduction to hypothesis testing
    • A Hypothesis-Testing Example
    • The Core Logic of Hypothesis Testing
    • The Hypothesis-Testing Process
    • One-Tailed and Two-Tailed Hypothesis Tests
    • Controversy: Should Significance Tests Be Banned?
    • Hypothesis Tests in Research Articles
    • Summary
    • Key Terms
    • Example Worked-Out 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 Worked-Out 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 Worked-Out 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 Repeated-Measures Designs
    • Single Sample t Tests and Dependent Means t Tests in Research Articles
    • Summary
    • Key Terms
    • Example Worked-Out 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 Worked-Out 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 Worked-Out 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 Two-Way 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 Two-Way Analysis of Variance
    • Advanced Topic: Power and Effect Size in the Factorial Analysis of Variance
    • Summary
    • Key Terms
    • Example Worked-Out 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 Worked-Out 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 Worked-Out Problems
    • Practice Problems
    • Using SPSS
    • Chapter Note
  • Chapter 13: Chi-square tests
    • The Chi-Square Statistic and the Chi-Square Test for Goodness of Fit
    • The Chi-Square Test for Independence
    • Assumptions for Chi-Square Tests
    • Effect Size and Power for Chi-Tests for Independence
    • Controversy: The Minimum Expected Frequency
    • Chi-Square Tests in Research Articles
    • Summary
    • Key Terms
    • Example Worked-Out Problems
    • Practice Problems
    • Using SPSS
    • Chapter Note
  • Chapter 14: Strategies when population distributions are not normal: Data transformations and rank-order tests
    • Assumptions in the Standard Hypothesis-Testing Procedures
    • Data Transformations
    • Rank-Order Tests
    • Comparison of Methods
    • Controversy: Computer-Intensive Methods
    • Data Transformations and Rank-Order Tests in Research Articles
    • Summary
    • Key Terms
    • Example Worked-Out 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 Worked-Out Problems
    • Practice Problems
    • Using SPSS
    • Chapter Note

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