Psychological statistics for a data-driven world
Knowing that roughly only 4% of her students will go on to receive PhDs in psychology, Dr. Jessica Hartnett conceived and crafted a whole new psychological statistics text to support all students—whether they are bound for the workforce or graduate school.
Filled with interactive features and opportunities for retrieval practice, the text focuses on an intuitive understanding of mathematical formulas underlying inferential statistical tests and emphasizes the use of statistical software.
This student-centered, conceptual approach addresses math phobia head-on and uses engaging, real-world examples to help students see how they can use statistics in their lives and jobs. Publishing in December 2024 for use in Fall 2025 courses, Psychological Statistics for Everyone is the text that you and your students have been waiting for!
Features of this Exciting New Text
An emphasis on statistical literacy
Dr. Hartnett expertly combines a conceptual understanding of statistics with the real-world data-interpretation skills that employers are seeking. Students will leave the course as savvy, even wary, consumers of data.
Innovative pedagogical features will engage your students
Stats in Real Life features show how statistics applies to everyday situations and careers, Dirty Data Alerts show how statistics can (intentionally or unintentionally) mislead, and You’ve Got This! features address statistical anxiety head-on by encouraging students to develop a growth mindset. Up to 80 percent of students experience statistics anxiety.2
Integrates statistical software right in the text
The text and embedded author videos walk students step-by-step through JASP or SPSS software as they compute and analyze real-world datasets. These datasets can be used with any other data analysis software you choose to use in your course.
Table of Contents
- Statistics Are Everywhere
- Using Graphs to Visualize Data
- Middle-ish: Describing the Middle and Spread of Your Data
- z Scores: Data Distributions, the Normal Curve, and Probability
- Sampling, the Central Limit Theorem, and Hypothesis Testing
- Effect Size and Confidence Intervals
- t Tests: An Introduction to Comparing Two Things
- More t Tests: Independent and Paired-Sample t Tests
- ANOVA: Comparing More Than Two Conditions
- Chi-Square: No Means, No Standard Deviations, Just Groups
- Correlation: Do Two Things Co-Occur?
- Linear Regression: Correlation Prediction
Appendix A: Statistical Tables
Appendix B: Quick Guide to Choosing Statistical Tests
Appendix C: Formulas, Abbreviations, and In-Text Study Tools
Meet the Author
Jessica Hartnett
is associate professor of psychology at Gannon University, where she teaches psychological statistics every term. She has dedicated a significant portion of her professional life to becoming a better teacher of statistics and supporting her colleagues as they attempt to do the same. She has published teaching research and given several presentations at national meetings about best practices in teaching statistics. She is the Chair of the STP’s Task Force on Statistical Literacy, Reasoning, and Thinking, and won their Mentorship of Teachers award in 2023. She shares ideas and inspiration to help instructors enliven their own courses on her popular blog, Not Awful and Boring Ideas for Teaching Statistics, which has over 400,000 page views.
Psychological Statistics for Everyone is coming soon!
Sign up for publication updates.
82%
of employers seek evidence
of written communication skills1
80.9%
of employers seek evidence
of problem-solving skills1
71.9%
of employers want
analytic/quantitative skills1
Customer Support
Receive on-demand support from a dedicated customer success manager who will consult on course design, integrate our tools into your LMS, and provide ongoing support. In a recent survey, 91 percent of instructors felt supported or very supported using Norton learning tools.
1National Association of Colleges and Employers
2Science Daily
Copyright © W. W. Norton & Company, Inc. 2024