Individual and environmental bicycling determinants during a pandemic.

Introduction: Research has identified many factors associated with bicycling, but little is known on their relative influence for an individual's decision to bicycle or what led to the surge in bicycling during the COVID-19 pandemic in the U.S.

Methods: Our research leverages a sample of 6735 U.

Modeling state preferences for Covid-19 policies: Insights from the first pandemic summer.

Introduction: During the COVID-19 pandemic, governments have experimented with a wide array of policies to further public health goals. This research offers an application of multilevel regression with post-stratification (MRP) analysis to assess state-level support for commonly implemented policies during the pandemic.

Methods: We conducted a national survey of U.

Estimating stimuli from contrasting categories: truncation due to boundaries.

In this article, the authors present and test a formal model that holds that people use information about category boundaries in estimating inexactly represented stimuli. Boundaries restrict stimuli that are category members to fall within a particular range. This model posits that people increase the average accuracy of stimulus estimates by integrating fine-grain values with boundary information, eliminating extreme responses.

Spatial categories and the estimation of location.

Four experiments are reported in which people organize a space hierarchically when they estimate particular locations in that space. Earlier work showed that people subdivide circles into quadrants bounded at the vertical and horizontal axes, biasing their estimates towards prototypical diagonal locations within those spatial categories (Psychological Review 98 (1991) 352). In this work Huttenlocher, Hedges, and Duncan showed that the use of such spatial categories can increase the accuracy of estimation of inexactly represented locations.