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Institution

Rider University

EducationLawrenceville, New Jersey, United States
About: Rider University is a education organization based out in Lawrenceville, New Jersey, United States. It is known for research contribution in the topics: Dosimetry & Creativity. The organization has 881 authors who have published 1934 publications receiving 50752 citations.


Papers
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Journal ArticleDOI
TL;DR: In this article, the authors examined three potential predictors in a sample of 102 college students: addictive qualities of nonsuicidal self-injury, impulsivity, and dissociation.
Abstract: This study aimed to identify predictors of unintentionally severe injury during nonsuicidal self-injury (NSSI). The authors examined 3 potential predictors in a sample of 102 college students: addictive qualities of NSSI, impulsivity, and dissociation. Both impulsivity and addictive qualities of NSSI were associated with unintentionally severe injury during NSSI. In a logistic regression, only addictive qualities of NSSI emerged as a significant predictor of unintentionally severe injury during NSSI. Implications for counseling and research are discussed.

13 citations

Journal ArticleDOI
01 Aug 2011
TL;DR: In this paper, it was shown that for any fixed m ≥ 2, X.............. 1 has Geometric distribution if and only if the n-th upper weak record value is the nth upper strong record value.
Abstract: Let $${\{X_n, n\geq 1\}}$$ be a sequence of independent and identically distributed non-degenerated random variables with common cumulative distribution function F. Suppose X 1 is concentrated on 0, 1, . . . , N ≤ ∞ and P(X 1 = 1) > 0. Let $${X_{U_w(n)}}$$ be the n-th upper weak record value. In this paper we show that for any fixed m ≥ 2, X 1 has Geometric distribution if and only if $${X_{U_{w}(m)}\mathop=\limits^d X_1+\cdots+X_m ,}$$ where $${\underline{\underline{d}}}$$ denotes equality in distribution. Our result is a generalization of the case m = 2 obtained by Ahsanullah (J Stat Theory Appl 8(1):5–16, 2009).

13 citations

Journal ArticleDOI
TL;DR: In this paper, a method is provided which very small firms can use to create and implement a structured assessment tool that builds on observation of critical incidents to illustrate the differences between poor, average, and good performance.
Abstract: Purpose – The purpose of this paper is to improve assessment and feedback processes in the training practices of very small firms, thereby improving the firms' human capital.Design/methodology/approach – The paper reviews research and practice on effective assessment and feedback.Findings – Based on this paper, human resources are increasingly seen as a potential source of sustained competitive advantage, and well‐trained workers can boost the performance of even very small firms. Hence, a method is provided which very small firms can use to create and implement a structured assessment tool that builds on observation of critical incidents to illustrate the differences between poor, average, and good performance.Practical implications – The paper shows that readers can use the provided tools to assess and improve employee performance, thereby enhancing their firm's competitive position.Originality/value – This paper can be used by very small firms to evaluate employee performance and provide employees with...

13 citations

Journal ArticleDOI
TL;DR: It is proposed that structured activities requiring students to focus on individual parts of research papers, even on a single figure, are beneficial in a literature‐centered advanced undergraduate course, because they promote the deep reading that is critical to scientific discourse.

13 citations


Authors

Showing all 892 results

NameH-indexPapersCitations
James Chih-Hsin Yang12760690323
Feng Chen95213853881
Vijay Mahajan7518824381
John J. Bochanski6816639951
Victor H. Denenberg5625311517
David G. Kirsch5628413992
Greg G. Qiao5534411701
Robert Kaestner512828399
John Baer451246649
Geoffrey S. Ibbott452908663
David S Followill432717881
Mark Oldham412156107
Michael Gillin391474671
Shiva K. Das371825588
Hope Corman341333882
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20233
202214
202162
202059
201962
201864