نتایج جستجو برای: exploratory

تعداد نتایج: 51387  

2001
Sharyn Rundle-Thiele Rebekah Bennett

The purpose of this paper was to demonstrate empirically that attitudinal loyalty and satisfaction are divergent concepts. The results of this paper indicate that attitudinal loyalty is satisfaction driven and that satisfaction and attitudinal loyalty are related but divergent concepts. However had the analysis relied exclusively on correlation or exploratory factor analysis the empirical resul...

Journal: :Behavioural Brain Research 2011
Vanessa Kazlauckas Eduardo Kalinine Renata Leke Jean Pierre Oses Fernanda Nunes Janaína Espinosa Sabrina Mioranzza Francisco Lulhier Luis V. Portela Lisiane O. Porciúncula Diogo R. Lara

Stress affects learning and memory processes and sensitivity to stress greatly varies between individuals. We studied behavioral and neurobiological effects of unpredictable subchronic stress (USCS) in two behavioral extremes of mice from the same strain (CF1) selected by their exploratory behavior of the central arena of an open field. The top and bottom 25% explorers were classified as low ex...

2015
Margarita antônia villar luis Janaina soares Marcos Hirata soares

Background: Aggression and violent behavior against health care professionals is a serious problem today and has aroused the interest of researchers and authorities. Objective: The purpose of this study was to examine the reliability and validity of the Management of Aggression and Violence Attitude Scale – Brazil (MAVAS-BR) for use with Brazilian nurses. Method: The MAVAS-BR was applied in a c...

2003
Darshana Sedera Guy G. Gable Taizan Chan

The business value of Enterprise Systems (ES), and in general large software implementations, has been extensively debated in both the popular press and in the academic literature for over three decades. Organizations have invested heavily in Enterprise Systems (and related infrastructure), presumably expecting positive outcomes to the organization. Some studies have reported large productivity...

2012
Michael Zarro

In this work dual-process theory from the social psychology domain is introduced to help understand exploratory search behaviors and relate them to searchers’ cognitive processes as they evaluate information resources. Our setting is the consumer health domain, where information seeking is often an exploratory search episode involving searchers who have high motivation but low ability to find a...

2017
Matthew Stephen Holden Zsuzsanna Keri Tamas Ungi Gabor Fichtinger

With the shift in the medical education curriculum to a competencybased model, objective proficiency assessment is necessary. In this work, we use exploratory factor analysis to assess which primitive metrics convey unique information about proficiency in point-of-care ultrasound applications. We retrospectively validate the proposed methods on three datasets: FAST examination, femoral line, an...

2016

The determinants of competitiveness between hub ports in the multipolar Northeast Asian system will decide which achieve regional gateway status. A survey instrument to assess 21 pertinent measurement items generated 203 responses from Shanghai, Hong Kong and Busan. Exploratory factor analysis revealed a valid and reliable competitiveness construct underpinning 19 measurement scales and a four-...

Journal: :Int. J. Serious Games 2016
Sotiris Kirginas Dimitris Gouscos

The purposes of this study were (a) to develop a valid and reliable questionnaire using both the structural characteristics of digital games and students perceptions of the concept of freedom of choice in digital games, (b) to validate items to be used in questionnaire to measure perceived freedom of choice, (c) to identify the factors that underlie freedom of choice in digital games and (d) to...

Journal: :Psychometrika 2017
Nickolay T Trendafilov Sara Fontanella Kohei Adachi

Sparse principal component analysis is a very active research area in the last decade. It produces component loadings with many zero entries which facilitates their interpretation and helps avoid redundant variables. The classic factor analysis is another popular dimension reduction technique which shares similar interpretation problems and could greatly benefit from sparse solutions. Unfortuna...

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