Temple University

About: Temple University is a education organization based out in Philadelphia, Pennsylvania, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 32154 authors who have published 64375 publications receiving 2219828 citations.

The measurement and prediction of career commitment

Abstract: Using a sample of 119 registered nurses from a large urban hospital, this longitudinal study investigated the nomological network of career commitment by: (a) determining if a distinct measure of career commitment could be operationalized, and (b) examining whether such a measure showed a different relationship to withdrawal cognition scales than measures of other work commitment concepts. The study also tested the importance of situational and individual difference variables in predicting career commitment.

Internationalization and the Performance of Born-Global SMEs: The Mediating Role of Social Networks

Abstract: This paper offers a social network explanation for the purported relationship between internationalization and firm performance in the context of born global small and medium enterprises (SMEs). We argue that home-based social networks play a mediating role in the relationship between inward and outward internationalization and firm performance. The mediating mechanism is attributed to three information benefits of social networks: (1) knowledge of foreign market opportunities; (2) advice and experiential learning; and (3) referral trust and solidarity. Using survey data from SMEs in the largest emerging economy of China, we found some support for this mediating role of social networks in the form of guanxi . The results imply that international business managers should consider social networks as an efficient means of helping internationally oriented SMEs to go international more rapidly and profitably

Real time robust L1 tracker using accelerated proximal gradient approach

Abstract: Recently sparse representation has been applied to visual tracker by modeling the target appearance using a sparse approximation over a template set, which leads to the so-called L1 trackers as it needs to solve an l 1 norm related minimization problem for many times. While these L1 trackers showed impressive tracking accuracies, they are very computationally demanding and the speed bottleneck is the solver to l 1 norm minimizations. This paper aims at developing an L1 tracker that not only runs in real time but also enjoys better robustness than other L1 trackers. In our proposed L1 tracker, a new l 1 norm related minimization model is proposed to improve the tracking accuracy by adding an l 1 norm regularization on the coefficients associated with the trivial templates. Moreover, based on the accelerated proximal gradient approach, a very fast numerical solver is developed to solve the resulting l 1 norm related minimization problem with guaranteed quadratic convergence. The great running time efficiency and tracking accuracy of the proposed tracker is validated with a comprehensive evaluation involving eight challenging sequences and five alternative state-of-the-art trackers.

The Single Category Implicit Association Test as a measure of implicit social cognition.

Abstract: The Single Category Implicit Association Test (SC-IAT) is a modification of the Implicit Association Test that measures the strength of evaluative associations with a single attitude object. Across 3 different attitude domains--soda brand preferences, self-esteem, and racial attitudes--the authors found evidence that the SC-IAT is internally consistent and makes unique contributions in the ability to understand implicit social cognition. In a 4th study, the authors investigated the susceptibility of the SC-IAT to faking or self-presentational concerns. Once participants with high error rates were removed, no significant self-presentation effect was observed. These results provide initial evidence for the reliability and validity of the SC-IAT as an individual difference measure of implicit social cognition.

Multiple Comparison Procedures

Abstract: Multiple comparison procedures (MCPs) are frequently adopted by applied researchers to locate specific differences between treatment groups. That is, omnibus test statistics, such as the analysis of variance F test, can only signify that effects are present, not which specific groups differ from one another (when there are more than two groups). In our paper, we discuss MCPs that can be used to investigate simple pairwise differences between treatment group means, as well as MCPs that can be used to examine complex comparisons (i.e., nonpairwise comparisons) between treatment group means. In particular, we discuss simultaneous as well as stepwise MCPs, emphasizing procedures that can be utilized when the derivational assumptions of the classical procedures of normality and variance homogeneity do not hold. Keywords: pairwise and complex comparisons; simultaneous and stepwise procedures; Type I error rates; robust procedures