University of North Texas

About: University of North Texas is a education organization based out in Denton, Texas, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 11866 authors who have published 26984 publications receiving 705376 citations. The organization is also known as: Fight, North Texas & UNT.

Construct validity of psychopathy in a female offender sample: a multitrait-multimethod evaluation.

Abstract: The authors examined the construct of psychopathy as applied to 103 female offenders, using the multitrait-multimethod matrix proposed by D. T. Campbell and D. W. Fiske (1959). Instruments used in the study included the following: (a) Antisocial Scale of the Personality Assessment Inventory (L. C. Morey, 1991); (b) Psychopathy Checklist--Revised (R. D. Hare, 1990); and (c) Antisocial scale of the Personality Disorder Examination (A. W. Loranger, 1988). Criterion-related validity was also evaluated to determine the relationship between psychopathy and staff ratings of aggressive and disruptive behavior within the institution. Results revealed significant convergence and divergence across the instruments supporting the construct of psychopathy in a female offender sample. The measures of psychopathy demonstrated moderate convergence with staff ratings of violence, verbal aggression, manipulativeness, lack of remorse, and noncompliance. It is interesting to note that an exploratory factor analysis of the PCL-R identified a substantially different factor structure for women than has been previously found for male psychopathy.

The dynamic structure of management support systems: theory development, research focus, and direction

Abstract: Using a systems perspective, a conceptual model is developed that encompasses a broad class of systems whose fundamental purpose is the support of managerial actions and decision making. The term management support systems (MSS) is used to label this broad class. This model is based on an extensive review of the relevant literature and available research. The result provides an integrated systems model of the phenomena involved and points to gaps in the research that arise largely from the attempts to examine various classes of MSS as separate entities. The research presented here is based on the premise that there are fundamental core consistencies or similarities among various types of systems that have evolved in the past several decades to support decision making. It presents a conceptual, theoretical model drawn from findings about various types of support systems described in the literature such as decision support systems (DSS), executive information systems (EIS), knowledge management systems (KMS), and business intelligence (BI). Pragmatic insights are provided by the conceptual model and recommendations for future research are discussed.

Users' criteria for relevance evaluation: a cross-situational comparison

Abstract: This article takes a cognitive approach toward understanding the behaviors of end-users by focusing on the values or criteria they employ in making relevance judgments, or decisions about whether to obtain and use information. It compares and contrasts the results of two empirical studies in which criteria were elicited directly from individuals who were seeking information to resolve their own information problems. In one study, respondents were faculty and students in an academic environment examining print documents from traditional text-based information retrieval systems. In the other study, respondents were occupational users of weather-related information in a multimedia environment in which sources included interpersonal communication, mass media, weather instruments, and computerized weather systems. The results of the studies, taken together, provide evidence that a finite range of criteria exists and that these criteria are applied consistently across types of information users, problem situations, and source environments.

The Capacity of Robust Private Information Retrieval With Colluding Databases

Abstract: Private information retrieval (PIR) is the problem of retrieving as efficiently as possible, one out of $K$ messages from $N$ non-communicating replicated databases (each holds all $K$ messages) while keeping the identity of the desired message index a secret from each individual database. The information theoretic capacity of PIR (equivalently, the reciprocal of minimum download cost) is the maximum number of bits of desired information that can be privately retrieved per bit of downloaded information. $T$ -private PIR is a generalization of PIR to include the requirement that even if any $T$ of the $N$ databases collude, the identity of the retrieved message remains completely unknown to them. Robust PIR is another generalization that refers to the scenario where we have $M \geq N$ databases, out of which any $M - N$ may fail to respond. For $K$ messages and $M\geq N$ databases out of which at least some $N$ must respond, we show that the capacity of $T$ -private and Robust PIR is $(1+T/N+T^{2}/N^{2}+\cdots +T^{K-1}/N^{K-1})^{-1}$ . The result includes as special cases the capacity of PIR without robustness ( $M=N$ ) or $T$ -privacy constraints ( $T=1$ ).