Wichita State University

About: Wichita State University is a education organization based out in Wichita, Kansas, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 4988 authors who have published 9563 publications receiving 253824 citations. The organization is also known as: WSU & Fairmount College.

The development of epistemological beliefs among secondary students : A longitudinal study

Abstract: This article is the continuation of M. Schommer's (1993) study, in which the development of secondary students' beliefs about the nature of knowledge and learning, or epistemological beliefs, was examined. High school students (N = 69) completed an epistemological questionnaire as freshmen in 1992 and as seniors in 1995. Repeated-measures analyses revealed that their beliefs in fixed ability to learn, simple knowledge, quick learning, and certain knowledge changed as they neared the end of their 4th year in high school. In addition, the less students believed in quick learning, the better grade point average they earned. These results are consistent with a cross-sectional study (M. Schommer, 1993) establishing substantial differences in students' epistemological beliefs across the high school years and thus strengthen the case that there is development of epistemological beliefs related to learning during high school.

Ensemble of data-driven prognostic algorithms for robust prediction of remaining useful life

Abstract: The traditional data-driven prognostic approach is to construct multiple candidate algorithms using a training data set, evaluate their respective performance using a testing data set, and select the one with the best performance while discarding all the others. This approach has three shortcomings: (i) the selected standalone algorithm may not be robust, i.e., it may be less accurate when the real data acquired after the deployment differs from the testing data; (ii) it wastes the resources for constructing the algorithms that are discarded in the deployment; (iii) it requires the testing data in addition to the training data, which increases the overall expenses for the algorithm selection. To overcome these drawbacks, this paper proposes an ensemble data-driven prognostic approach which combines multiple member algorithms with a weighted-sum formulation. Three weighting schemes, namely, the accuracy-based weighting, diversity-based weighting and optimization-based weighting, are proposed to determine the weights of member algorithms for data-driven prognostics. The k-fold cross validation (CV) is employed to estimate the prediction error required by the weighting schemes. The results obtained from three case studies suggest that the ensemble approach with any weighting scheme gives more accurate RUL predictions compared to any sole algorithm when member algorithms producing diverse RUL predictions have comparable prediction accuracy and that the optimization-based weighting scheme gives the best overall performance among the three weighting schemes.

Do Politics Perceptions Relate to Political Behaviors? Tests of an Implicit Assumption and Expanded Model

Abstract: This study examined perceived political behaviors as a critical, yet largely overlooked, component in the traditional organizational politics perceptions model Further, this study developed an expanded version of the traditional antecedents to politics perceptions and examined the mediating effect of perceptions of politics in the model Results from 260 full-time employees suggested that the use of reactive/defensive political behaviors exacerbated the already negative effects of perceived organizational politics on outcomes Further, the set of variables that come from the job/work environment were found to explain more variance in perceptions of organizational politics than the set of organizational or individual variables Finally, perceptions of politics demonstrated mediation effects between the antecedent variables and job satisfaction, job anxiety, and intent to turnover Discussion centers around the expanded model and the need to conceptually and empirically link politics perceptions with politi

Neighborhood disorder, integration, and the fear of crime

Abstract: Three distinct but related models of fear of crime have emerged in the research literature: victimization, disorder, and community concern/community control. Of the three, the community concern/community control model remains least developed. This study seeks to extend the research by including several distinct dimensions of the community concerns model, along with variables drawn from the victimization and disorder frameworks, in an overall model of fear of crime. The model then is analyzed with data from a random sample of residents from a northwestern U.S. city. The inclusion of variables from all three perspectives results in a model that accounts for a substantial amount of the variance in fear of crime. The model next is examined for three subsamples of respondents drawn from low-, medium-, and high-disorder neighborhoods. Finally, policy implications, particularly for the community policing movement, are discussed.