Quantitative Psychology Commons^™

Estimation Of Correlation Confidence Intervals Via The Bootstrap: Non-Normal Distributions, John Mart V. Delosreyes

Psychology Theses & Dissertations

Estimating confidence intervals (CIs) for the correlation has been a challenge. The challenge stems from the metamorphic nature of the sampling distribution of the correlation being bound by-1≤ρ≤1. The nonparametric nature of the bootstrap makes it a good option for estimating correlation CIs. However, there have been mixed results about the robustness of bootstrap CIs for the correlation with non normal data. This had led the literature to suggesting the use of transformation methods to estimate correlation CIs. However, transformation methods carry a risk of the original data being misrepresented. Thus, further investigation of bootstrap CIs for the correlation is …

Taking Multiple Regression Analysis To Task: A Review Of Mindware: Tools For Smart Thinking, By Richard Nisbett (2015), Jason Makansi

Numeracy

Richard Nisbett. 2015. Mindware: Tools for Smart Thinking.(New York, NY: Farrar, Strauss, and Giroux). 336 pp. ISBN: 9780374536244

Nisbett, a psychologist, may not achieve his stated goal of teaching readers to “effortlessly” extend their common sense when it comes to quantitative analysis applied to everyday issues, but his critique of multiple regression analysis (MRA) in the middle chapters of Mindware is worth attention from, and contemplation by, the QL/QR and Numeracy community. While in at least one other source, Nisbett’s critique has been called a “crusade” against MRA, what he really advocates is that it not be used as …