Letters of recommendation in academe: Do women and men write in different languages?

The present study analyzes seventy-eight letters of recommendation sent to a department of sociology and anthropology for six replacement and two tenure-track positions. The sample consists of fifteen pairs of letters written for women and twenty-four pairs written for men. Each pair of letters includes one written by a woman and one written by a man for the same candidate. Men and women wrote letters differently, but their letters also varied by the gender of the applicant. The concept of tokenism, Gilligan’s theory about moral reasoning, and Acker’s discussion of gendered organizations are used to interpret these differences. This article is a revised version of a paper presented at the Eastern Sociological Society Annual Meeting, Providence, R.I., April 12, 1991.     

Familiarity effects in nonverbal understanding: Recognizing our own facial expressions and our friends'

In this study we explored how individuals' private expressions are interpreted by the self, same-sex friends, and strangers. Videotapes were made of participants as they watched pleasant, unpleasant, and unusual slides. Approximately a year later, the tapes were shown to the participant, a same-sex friend, another participant, and the other participant's friend. Judges were able to read the facial expressions at levels of accuracy that were significantly greater than chance. They were no better at reading familiar targets (themselves or their friends) than unfamiliar ones (strangers), with only one exception (men were better at recognizing the reactions of familiar targets than unfamiliar targets viewing pleasant slides). In their abilities to understand nonverbal cues, female friends showed resemblances to each other on all accuracy measures (pleasant/unpleasant/unusual X familiar/unfamiliar). Male friends resembled each other only in their understanding of the reactions of unfamiliar men viewing unpleasant slides.This research was supported in part by an NSF grant and an NIMH Research Scientist Development Award to the second author. We thank Charles Frohman and Laura Yamhure for their help with this research.     

Infrence for non-negative autoregressive schemes

The object of this paper is the statistical analysis of Several Closely related models arising in water quality analysis. In particular, concern is with the autoregressive scheme X_r = ρX_r?1 + Y_r where 0 < ρ < 1 and Y's are i.i.d, and non-negative. The estimation and testing problem is considered for three parametric models - Gaussian, uniform and exponential - as well as for the nonparametric case where it is assumed that the Y's have a positive continuous distribution.     

A Note on Overdifferencing and the Equivalence of Seasonal Time Series Models With Monthly Means and Models With (0, 1, 1)12 Seasonal Parts When ⊖ = 1

Two general models for monthly seasonal time series are considered, one in which seasonality is modeled with monthly means and another in which seasonality is modeled with a (0, 1, 1)₁₂ ARIMA structure. The models are shown to be equivalent if the seasonal moving average parameter (?) is 1 and if the same assumptions about the 12 initial observations are made for both models. The role of the assumptions about the initial observations is analyzed, and it is argued that for practical purposes the two models can be regarded as equivalent when ? = 1. It is observed that the result extends easily to more general models involving overdifferencing.