Description

Book Synopsis


Trade Review
"I like the order in which the topics are presented. The order is the same way that I would choose if I were writing a text myself." - Kathleen Denson, Texas A&M Commerce "Aron et al. strives to make statistical concepts accessible to students who may not have a background or interests in math." - Brock Kirwan, Brigham Young University "This text is at a level that I would feel comfortable assigning to my intro stats students." - Osvaldo Morera, University of Texas at El Paso "I like that [the text] introduced students to more complex techniques in an effort to help them to understand the articles that they are reading with more complex statistics in them" -Stacey Williams, East Tennessee State University ".The Level of writing is it's strongest assets. Very clear step by step instructions. The level of writing is very appropriate to my students" -Stephen Armeli, Farleigh Dickinson "High-level, clear, comprehensive. The book is effective at helping students understand the material" - Kristin Lane, Bard College

Table of Contents

In this Section:

  1. Brief Table of Contents
  2. 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 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

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 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

Statistics for Psychology

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£217.27

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Order before 4pm today for delivery by Tue 23 Dec 2025.

A Hardback by Arthur Aron Ph.D., Elliot Coups, Elaine Aron


    View other formats and editions of Statistics for Psychology by Arthur Aron Ph.D.

    Publisher: Pearson Education
    Publication Date: 8/13/2012 12:00:00 AM
    ISBN13: 9780205258154, 978-0205258154
    ISBN10: 0205258158
    Also in:
    Psychological methodology

    Description

    Book Synopsis


    Trade Review
    "I like the order in which the topics are presented. The order is the same way that I would choose if I were writing a text myself." - Kathleen Denson, Texas A&M Commerce "Aron et al. strives to make statistical concepts accessible to students who may not have a background or interests in math." - Brock Kirwan, Brigham Young University "This text is at a level that I would feel comfortable assigning to my intro stats students." - Osvaldo Morera, University of Texas at El Paso "I like that [the text] introduced students to more complex techniques in an effort to help them to understand the articles that they are reading with more complex statistics in them" -Stacey Williams, East Tennessee State University ".The Level of writing is it's strongest assets. Very clear step by step instructions. The level of writing is very appropriate to my students" -Stephen Armeli, Farleigh Dickinson "High-level, clear, comprehensive. The book is effective at helping students understand the material" - Kristin Lane, Bard College

    Table of Contents

    In this Section:

    1. Brief Table of Contents
    2. 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 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

    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 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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