In the Know: Debunking 35 Myths About Human Intelligence

My latest book is targeted at non-experts, including students, journalists, interested laymen, and social scientists with expertise in other areas. Each chapter discusses one common, but incorrect, belief about intelligence and explains the truth and the scientific evidence on the topic. (See this blog post for a list of chapter topics.) The book also includes an introduction that provides context and an overview of intelligence and a conclusion discussing some unresolved issues. The book was released in late October 2020. It is available to order from Cambridge University Press, Amazon, and Google Books. As you wait for it to arrive, you can read blog posts related to the book.

Statistics for the Social Sciences: A General Linear Model Approach

Cover of the second edition of Statistics for the Social Sciences: A General Linear Model Approach.

Statistics for the Social Sciences: A General Linear Model Approach was published by Cambridge University Press in December 2017, with the second edition published in December 2020. It is a textbook designed for undergraduate social science majors taking a one-semester introductory statistics course. Packed with examples from all the social sciences, it provides an accessible tour through descriptive statistics, visual models, z-tests, one-sample t-tests, paired and unpaired samples t-tests, analysis of variance (ANOVA), correlation and regression, and one- and two-variable chi-squared tests. Every chapter features screenshots that give students a step-by-step guide to conducting each of these procedures in Microsoft Excel and SPSS. You can read about the changes made in the second edition at this blog post. You can also now pre-order the second edition at Cambridge University Press, Amazon, or Google Books.