Theories of disorder and order, energy and information, in sociological thought.

There has always been a close relation between thermodynamic theory and sociological theory, although they repeatedly part company and later rejoin. I discuss some of the most important ways in which the two have been in contact, focusing on the potential passage from theories of energy to theories of information and vice versa. I close by discussing how a closer engagement with classic thermodynamics may continue to be fruitful for sociological theorizing. This article is part of the theme issue 'Thermodynamics 2.0: Bridging the natural and social sciences (Part 2)'.

Charisma, status, and gender in groups with and without gurus.

A number of studies have noted that small religious groups with charismatic leaders seem to have different gender dynamics than do groups without. We argue that the presence of such a leader changes what charisma "means" in such a group. Without such a leader, strong personalities may appear charismatic and lead to positions of high status­and such dynamics historically have tended to be associated with a positional advantage to males. With such a leader, however, charisma is more likely to be compatible with receptivity and decoupled from gender characteristics that tend to disadvantage women, leading charismatic women to have greater status than they would otherwise have.

A New Extension of the Binomial Error Model for Responses to Items of Varying Difficulty in Educational Testing and Attitude Surveys.

We put forward a new item response model which is an extension of the binomial error model first introduced by Keats and Lord. Like the binomial error model, the basic latent variable can be interpreted as a probability of responding in a certain way to an arbitrarily specified item. For a set of dichotomous items, this model gives predictions that are similar to other single parameter IRT models (such as the Rasch model) but has certain advantages in more complex cases. The first is that in specifying a flexible two-parameter Beta distribution for the latent variable, it is easy to formulate models for randomized experiments in which there is no reason to believe that either the latent variable or its distribution vary over randomly composed experimental groups. Second, the elementary response function is such that extensions to more complex cases (e.g., polychotomous responses, unfolding scales) are straightforward. Third, the probability metric of the latent trait allows tractable extensions to cover a wide variety of stochastic response processes.