Ohio State University

About: Ohio State University is a education organization based out in Columbus, Ohio, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 102421 authors who have published 222715 publications receiving 8373403 citations. The organization is also known as: Ohio State & The Ohio State University.

The use of causal indicators in covariance structure models: some practical issues.

Abstract: In conventional representations of covariance structure models, indicators are defined as linear functions of latent variables, plus error. In an alternative representation, constructs can be defined as linear functions of their indicators, called causal indicators, plus an error term. Such constructs are not latent variables but composite variables, and they have no indicators in the conventional sense. The presence of composite variables in a model can, in some situations, result in problems with identification of model parameters. Also, the use of causal indicators can produce models that imply zero correlation among many measured variables, a problem resolved only by the inclusion of a potentially large number of additional parameters. These phenomena are demonstrated with an example, and general principles underlying them are discussed. Remedies are described so as to allow for the evaluation of models that contain causal indicators.

gp100 peptide vaccine and interleukin-2 in patients with advanced melanoma.

Abstract: Background Stimulating an immune response against cancer with the use of vaccines remains a challenge. We hypothesized that combining a melanoma vaccine with interleukin-2, an immune activating agent, could improve outcomes. In a previous phase 2 study, patients with metastatic melanoma receiving high-dose interleukin-2 plus the gp100:209-217(210M) peptide vaccine had a higher rate of response than the rate that is expected among patients who are treated with interleukin-2 alone. Methods We conducted a randomized, phase 3 trial involving 185 patients at 21 centers. Eligibility criteria included stage IV or locally advanced stage III cutaneous melanoma, expression of HLA*A0201, an absence of brain metastases, and suitability for high-dose interleukin-2 therapy. Patients were randomly assigned to receive interleukin-2 alone (720,000 IU per kilogram of body weight per dose) or gp100:209-217(210M) plus incomplete Freund's adjuvant (Montanide ISA-51) once per cycle, followed by interleukin-2. The primary end p...

Reinforcing Spirals: The Mutual Influence of Media Selectivity and Media Effects and Their Impact on Individual Behavior and Social Identity

Abstract: The attitudinal or behavioral outcomes of media use can be expected to influence selection of and attention to media content. This process can be conceptualized in terms of mutually reinforcing spirals akin to positive feedback loops in general systems theory. This reinforcing spirals perspective highlights the need for longitudinal modeling of mutually influencing media selection and effects processes; study of the impact of such processes in youth and adolescent identity development; and analysis of social and psychological factors that control, dampen, or eventually extinguish the influence of such spirals. This perspective may also, more speculatively, be extended to address the maintenance of social identity for political, religious, and lifestyle groups. The relevance of a reinforcing spirals model to theories including spiral of silence, agenda-setting, framing, cultivation, selective attention, and uses and gratifications is also discussed.

The Role Of Conversations in Producing Intentional Change in Organizations

Abstract: Most perspectives on change propose that communication occurs in the context of change. This article inverts that perspective by proposing both that communication is the context in which change occurs and that the change process unfolds in a dynamic of four distinct types of conversations. The fundamental nature of speech as performative suggests that change is linguistically based and driven and that producing intentional change is facilitated by intentional communication. The relationships among the conversations are discussed, and implications for theory, research, and practice are given.