Assessing the Validity and Reliability of the Perceptions of the Consent to Sex Scale

Although sexual assault prevention education tends to focus on consent promotion as a means to reduce rates of sexual assault, little is known about how college students consent to sexual activity. The current study aimed to better understand college students' consent via the systematic development of the Consent to Sex Scale (CSS), utilizing mixed methods via three phases and two waves of data collection. In Phase 1, qualitative data were collected from college students (n = 185) to provide a foundation for item writing. In Phase 2, closed-ended items were written for a quantitative instrument and reviewed by a team of experts. In Phase 3, a quantitative survey, including items written in Phase 2, was administered to college students (n = 685); the measure was assessed for its psychometric properties. Exploratory factor analysis was utilized, resulting in a five-factor solution. The CSS and corresponding factors demonstrated high internal consistency reliability and expected gender differences, supporting the construct validity of the measure. The CSS assesses college students' cues for indicating consent to sex, a construct not addressed by previous measures. The validated scale may be useful in future research to better understand how consent relates to other behaviors or constructs.     

Control Balance Theory and Violence: An Examination of Contingencies

Abstract

Control balance theory has been previously tested using measures of contingencies. This article builds upon these studies by using data collected from 460 undergraduate students to examine the role of constraints and sensation-seeking in the control balancing process. The findings provide partial support for control balance theory (i.e., that the control deficit and the control surplus both have significant links to predation). Examining the contingency effects showed that the influence of the control deficits and surpluses on deviance was conditioned by contingencies (i.e., high levels of sensation-seeking and low levels of constraint). The findings from this study suggest the need for further exploration of control balance theory, with the focus to shift to Tittle's 2004 revision of the theory.     

A class of integral operators generated by random variables

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Predicting infectious disease outbreak risk via migratory waterfowl vectors

The spread of an emerging infectious disease is a major public health threat. Given the uncertainties associated with vector-borne diseases, in terms of vector dynamics and disease transmission, it is critical to develop statistical models that address how and when such an infectious disease could spread throughout a region such as the USA. This paper considers a spatio-temporal statistical model for how an infectious disease could be carried into the USA by migratory waterfowl vectors during their seasonal migration and, ultimately, the risk of transmission of such a disease to domestic fowl. Modeling spatio-temporal data of this type is inherently difficult given the uncertainty associated with observations, complexity of the dynamics, high dimensionality of the underlying process, and the presence of excessive zeros. In particular, the spatio-temporal dynamics of the waterfowl migration are developed by way of a two-tiered functional temporal and spatial dimension reduction procedure that captures spatial and seasonal trends, as well as regional dynamics. Furthermore, the model relates the migration to a population of poultry farms that are known to be susceptible to such diseases, and is one of the possible avenues toward transmission to domestic poultry and humans. The result is a predictive distribution of those counties containing poultry farms that are at the greatest risk of having the infectious disease infiltrate their flocks assuming that the migratory population was infected. The model naturally fits into the hierarchical Bayesian framework.     

A Dynamic Model of Demand for Houses and Neighborhoods

This paper develops a dynamic model of neighborhood choice along with a computationally light multi‐step estimator. The proposed empirical framework captures observed and unobserved preference heterogeneity across households and locations in a flexible way. We estimate the model using a newly assembled data set that matches demographic information from mortgage applications to the universe of housing transactions in the San Francisco Bay Area from 1994 to 2004. The results provide the first estimates of the marginal willingness to pay for several non‐marketed amenities—neighborhood air pollution, violent crime, and racial composition—in a dynamic framework. Comparing these estimates with those from a static version of the model highlights several important biases that arise when dynamic considerations are ignored.     

Efficiency or Competition? A Structural Econometric Analysis of Canada's AWS Auction and the Set‐Aside Provision

In 2008, Industry Canada auctioned 105 MHz of spectrum to a group of bidders that included incumbents and potential new entrants into the Canadian mobile phone market, raising $4.25 billion. In an effort to promote new entry, 40 MHz of spectrum was set‐aside for new entrants. In order to estimate the implicit cost of the set‐aside provision, we estimate the parameters of the bidders' profit function via a maximum match estimator based on the notion of pairwise stability in matches. We find that all telecommunications firms valued both geographic complementarities across auction licenses as well as absolute spectrum. Under a reasonable alternative scenario, our results indicate that the set‐aside led to a total profit loss of approximately 10%.     

Political Expertise and the Use of Ideology: Moderating Effects of Evaluative Motivation

Much research suggests that political experts are more likelyto structure attitudes toward different issues in an ideologicallyconsistent fashion. Based on recent studies of motivationalinfluences on social cognition, we hypothesize that only expertswith a high need to evaluate—a strong motivation to establishevaluations of social objects—may "apply" ideology toa variety of issues. Data from the 1998 NES Pilot and 2000 NESare used to examine this hypothesis. While experts do show moreideological constraint, this relationship appears to be limitedto individuals with a high need to evaluate. Additional analysesindicated that this interactive effect extended to other indicesof the use of ideology as well.     

Situational leadership and persons with disabilities

Does situational leadership style impact workers with disabilities? Situational leadership as a model and style of organizational management is defined. With a concentration on workers with disabilities, employer and employee perceptions of the workplace environment are analyzed as a contributing factor to the choice of leadership styles. Leadership style and its potential impact on workers with disabilities are included. Advantages of situational leadership style as an organizational model for managers that matches the intricate needs of workers with disabilities are argued. Methods for increasing awareness of the needs of persons with disabilities in the workplace and improving leadership models are discussed. Implications and potential outcomes for workers with disabilities based on the use of situational leadership by managers are discussed.