
Statistics for Psychology
by Arthur Aron, Elliot J. Coups, Elaine N. Aron, Erin Cooley
7th Edition
Publisher: Pearson
Book Details
| Print ISBN | 9780136658474 |
| eText ISBN | 9780136658207 |
| Publisher | Pearson |
| Publishing Year | 2023 |
| Edition | 7th Edition |
| Language | English |
Mastering quantitative analysis is a frequent hurdle for social science students, yet it remains an indispensable asset for modern scientific inquiry. Statistics for Psychology 7th Edition addresses this challenge directly by demystifying complex mathematical concepts and grounding them in real-world psychological research. By shifting the pedagogical focus away from intimidating calculations and toward conceptual understanding, this textbook empowers learners to see the narrative behind the numbers. In an era dominated by data-driven decision-making, having a firm grasp of statistical logic is more critical than ever, making Statistics for Psychology 7th Edition an essential cornerstone for any aspiring psychologist or social researcher seeking to make a meaningful impact in the field.
The authors construct a comprehensive framework that spans from basic descriptive statistics to sophisticated inferential methodologies. Readers are guided through foundational topics such as central tendency, variability, and the normal curve before transitioning into hypothesis testing, t-tests, and analysis of variance. The text also explores correlation, prediction, and non-parametric tests, ensuring a well-rounded methodological toolkit. Throughout this journey, the narrative emphasizes the underlying logic of each statistical procedure rather than mere rote memorization. By presenting definitional formulas in plain English alongside traditional mathematical symbols, the authors help students build intuitive connections between statistical theory and practical research applications.
Designed specifically for undergraduate and graduate introductory courses, this textbook integrates several unique learning aids to reduce statistics anxiety and foster student engagement. Each chapter features step-by-step worked-out problems, practical SPSS guides, and reflective check-in questions that reinforce key concepts. This edition introduces refreshed research examples and a heightened focus on diversity, equity, and inclusion, ensuring that the datasets reflect modern global experiences. Instructors and students alike will find that the Statistics for Psychology 7th Edition PDF provides a highly accessible, mobile-friendly learning experience that seamlessly bridges the gap between classroom theory and professional research execution, preparing students for advanced academic pursuits.
Table of Contents
Chapter 1: Displaying the Order in a Group of Numbers Using Tables and Graphs
- • The Two Branches of Statistical Methods
- • Some Basic Concepts
- • Frequency Tables
- • Histograms and Bar Graphs
- • Shapes of Frequency Distributions
Chapter 2: Central Tendency and Variability
- • Central Tendency
- • Variability
- • Central Tendency and Variability in Research Articles
Chapter 3: Some Key Ingredients for Inferential Statistics
- • Z Scores
- • The Normal Curve
- • Sample and Population
- • Probability
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
Chapter 5: Hypothesis Tests with Means of Samples
- • The Distribution of Means
- • Hypothesis Testing with a Distribution of Means: The Z Test
- • Estimation, Standard Errors, and Confidence Intervals
Chapter 6: Making Sense of Statistical Significance
- • Decision Errors
- • Effect Size
- • Statistical Power
- • What Determines the Power of a Study?
Chapter 7: Introduction to t Tests
- • The t Test for a Single Sample
- • The t Test for Dependent Means
- • Assumptions of the t Test
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
Chapter 9: Introduction to the Analysis of Variance
- • Introduction to the Analysis of Variance
- • Assumptions in the Analysis of Variance
- • F Distribution
Chapter 10: Factorial Analysis of Variance
- • Factorial Analysis of Variance
- • Basic Logic of Main Effects and Interactions
- • Assumptions in Factorial ANOVA
Chapter 11: Correlation
- • Correlation
- • The Correlation Coefficient
- • Significance of a Correlation Coefficient
Chapter 12: Prediction
- • Prediction
- • The Linear Prediction Rule
- • The Regression Line
Chapter 13: Chi-Square Tests
- • Chi-Square Tests
- • Chi-Square Test for Goodness of Fit
- • Chi-Square Test for Independence
Chapter 14: Strategies When Population Distributions Are Not Normal
- • Strategies When Population Distributions Are Not Normal
- • Data Transformations
- • Rank-Order Tests
Chapter 15: The General Linear Model and Making Sense of Advanced Statistical Procedures in Research Articles
- • The General Linear Model
- • Multiple Regression
- • Making Sense of Advanced Statistical Procedures in Research Articles
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▶Research Sources (10)
- Statistics for Psychology by: Arthur Aron Ph.D. - 9780136658207
- Statistics for psychology : Aron, Arthur - Internet Archive
- Statistics for Psychology [Rental... | Rent | 9780136658474
- Statistics for Psychology [RENTAL EDITION] - Arthur Aron - BooksRun
- Statistics for Psychology 7th Edition – Original PDF ebook
- Statistics for Psychology [Rental Edition]
- [PDF] Statistics for Psychology - studentebookhub.com
- Statistics for Psychology [Rental Edition] - Biggerbooks.com
- ISBN 9780136658474 - Statistics for Psychology 7th - Direct Textbook
- Statistics for Psychology by Arthur Aron | Open Library





