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Statistics for Psychology, 7th edition

  • Arthur Aron, 
  • Elaine N. Aron, 
  • Elliot J. Coups, 
  • Erin Cooley

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Overview

Hallmark features of this title

  • The authors provide a concise summary of definitional formulas mathematically, verbally and visually. This helps students understand the logic behind the procedure.
  • Examples of how a statistical method is reported in contemporary journal articles help students understand this key skill.
  • The inclusion of the most current statistical theory and applications helps students achieve an up-to-date understanding.
  • How Are You Doing exercises for each chapter serve as a checkpoint for students.
  • SPSS screen shots included within the text facilitate learning.
  • The correlation chapter uses the more intuitive formula for calculating correlation coefficients based on Zscores. This better helps students understand the logic of correlation coefficients.

Published by Pearson (July 1st 2022) - Copyright © 2023

ISBN-13: 9780137994496

Subject: Research Methods & Statistics

Category: Statistics for Psychology

Table of contents

  1. Displaying the Order in a Group of Numbers Using Tables and Graphs
  2. Central Tendency and Variability
  3. Some Key Ingredients for Inferential Statistics
  4. Introduction to Hypothesis Testing
  5. Hypothesis Tests with Means of Samples
  6. Making Sense of Statistical Significance
  7. Introduction to t Tests
  8. The t Test for Independent Means
  9. Introduction to the Analysis of Variance
  10. Factorial Analysis of Variance
  11. Correlation
  12. Prediction
  13. Chi-Square Tests
  14. Strategies When Population Distributions Are Not Normal
  15. The General Linear Model and Making Sense of Advanced Statistical Procedures in Research Articles

APPENDICES

  1. Tables
  2. Steps of Hypothesis Testing for Major Procedures
  3. Formulas
  4. Answers to Set 1 Practice Problems

WEB CHAPTERS (Downloadable at Student Resource Page)

  1. Overview of the Logic and Language of Psychology Research
  2. Applying Statistical Methods in Your Own Research Project
  3. Repeated Measures Analysis of Variance
  4. Integration and the General Linear Model

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