Microcomputer software for performing statistical analysis: A handbook supporting library decision making

1989 ◽  
Vol 16 (6) ◽  
pp. 664-666
Author(s):  
Ann E. Gerken
Keyword(s):  
Decision Making ◽  
Statistical Analysis ◽  
Microcomputer Software

Advanced and intermediate EFL learners’ perceptions and practices of autonomous learning

2017 ◽  
Vol 168 (1) ◽  
pp. 70-90 ◽  
Author(s):  
Sakineh Jafari ◽  
Saeed Ketabi ◽  
Mansoor Tavakoli
Keyword(s):  
Decision Making ◽  
Statistical Analysis ◽  
Educational Experiences ◽  
Autonomous Learning ◽  
Learning Activities ◽  
Educational Materials ◽  
Advanced Learners ◽  
Efl Learners ◽  
Intermediate Learners ◽  
Learning Language

Abstract This study examined Persian intermediate and advanced EFL learners’ perceptions regarding (a) their own and their teachers’ responsibility in learning language autonomously; (b) their decision making ability in learning language autonomously; and (c) their autonomous learning activities inside and outside the classroom. To this end, a questionnaire designed by Chan, Spratt, and Humphrey (2002) was distributed among 67 intermediate and 65 advanced EFL learners. Statistical analysis of students’ answers showed that overall, advanced learners tended to assume more responsibility for their own learning, to perceive themselves to be highly capable of autonomous learning, and to practice more autonomous learning activities compared to the intermediate learners. In addition, data collected through the interviews with some of the participants suggested that learners’ perceptions were greatly affected by their previous educational experiences. Since intermediate learners were not largely engaged in making decisions related to educational materials and activities used in their classrooms, they considered themselves as less responsible for and consequently less capable of choosing learning materials and activities. The findings of the study, along with the pedagogical implications, are discussed.

Ties that Bind?

1998 ◽  
Vol 31 (1) ◽  
pp. 45-71 ◽  
Author(s):  
WILL H. MOORE ◽  
DAVID R. DAVIS
Keyword(s):  
Decision Making ◽  
Statistical Analysis ◽  
General Model ◽  
International Conflict ◽  
Conflict Behavior ◽  
Structural Constraints ◽  
Structural Factors ◽  
International Interactions ◽  
The Impact

In this article, the authors develop and empirically evaluate a general model of the linkages between domestic and international conflict behavior. Much of the literature on domestic international interactions has focused on the structural constraints of the international and domestic systems on leaders' foreign policy decisions. Rather than focusing on structural constraints, the present authors model the influence of the behavior of domestic and international rivals on leader decision making. The impact of rivals' behavior on conflict across the domestic-international nexus has been neglected relative to the role of structural factors. This study helps redress that imbalance. The authors test their model with a statistical analysis of Zaire during the period 1975 to 1992 and find substantial support for the model.

IT in Manufacturing and Logistics for SCM and OP in SMEs

2020 ◽  
pp. 109-117 ◽  
Author(s):  
Wei Hung ◽  
Yao-Wen Hsu
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Supply Chain ◽  
Statistical Analysis ◽  
Organizational Performance ◽  
Manufacturing Sector ◽  
Decision Making Process ◽  
Chain Management ◽  
Modern Age ◽  
Wide Range

This analysis focusses on the effects of Information Technology (IT) and how it significantly affects the Supply Chain Management (SCM) in logistics and manufacturing-Small and Medium-Sized Enterprises (SMEs). Apart from that, our purpose is to evaluate how IT affects the Organizational Performance (OP) in the enterprises. Irrespective of the fact that IT cannot be applied in every enterprise, the findings in this research are based on the statistical analysis which shows that a wide-range of workforce in the modern age has adopted the initiative considering the complexities of SCM and mostly to maximize OP in the enterprises. This research was done based on the analysis of SMEs in logistics and manufacturing sector in India. The sample used to conduct this research makes it valid to draw assumptions that managers and CEOs are responsible for coordinating enterprise operations in SMEs. The evaluation in this research shows that the workforce is obliged to formulate strategies to allow employees to enhance their competency of IT. In that regard, the findings are essential for the enhancement of the decision-making process, SCM and OP.

The Use of Artificial Intelligence Systems for Support of Medical Decision-Making

2011 ◽  
pp. 1017-1029
Author(s):  
William Claster ◽  
Nader Ghotbi ◽  
Subana Shanmuganathan
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Statistical Analysis ◽  
Medical Records ◽  
Clinical Decision Making ◽  
Ct Scanning ◽  
Clinical Decision ◽  
Radiology Department ◽  
Self Organizing Map ◽  
One Year

There is a treasure trove of hidden information in the textual and narrative data of medical records that can be deciphered by text-mining techniques. The information provided by these methods can provide a basis for medical artificial intelligence and help support or improve clinical decision making by medical doctors. In this paper we extend previous work in an effort to extract meaningful information from free text medical records. We discuss a methodology for the analysis of medical records using some statistical analysis and the Kohonen Self-Organizing Map (SOM). The medical data derive from about 700 pediatric patients’ radiology department records where CT (Computed Tomography) scanning was used as part of a diagnostic exploration. The patients underwent CT scanning (single and multiple) throughout a one-year period in 2004 at the Nagasaki University Medical Hospital. Our approach led to a model based on SOM clusters and statistical analysis which may suggest a strategy for limiting CT scan requests. This is important because radiation at levels ordinarily used for CT scanning may pose significant health risks especially to children.

A proposed maturity assessment framework of the Greek local government Web Electronic Services

2019 ◽  
Vol 13 (3/4) ◽  
pp. 237-256 ◽  
Author(s):  
Nikolaos Panayiotou ◽  
Vasileios Stavrou
Keyword(s):  
Decision Making ◽  
Statistical Analysis ◽  
Local Government ◽  
Methodological Approach ◽  
Future Research ◽  
Medium Size ◽  
Assessment Framework ◽  
Maturity Level ◽  
Content Type ◽  
Promethee Ii

Purpose This paper aims to construct an assessment framework to establish a maturity model for Web Electronic Services offered at a local government level and investigate the maturity of Greek municipalities in the E-Government field, trying to correlate how this is affected by demographic variables. Design/methodology/approach An original assessment framework regarding municipal Electronic Services was created based on the literature review. The assessment framework was included in a methodological approach supported by the PROMETHEE II method, as well as by selected statistical methods. The framework and the methodological approach were applied in the case of Greek municipalities. Findings The analysis revealed the low maturity level of Greek municipalities in Electronic Services sector. The Greek case study indicated that the proposed framework and methodological approach could provide useful insights to municipalities for the improvement of its E-Government Web services based on their strategic preferences. Research limitations/implications The assessment took place only in Greece, assessing all the country's municipalities and conducting research only in the municipalities’ websites. The proposed methodology suggests that the PROMETHEE II multi-criteria decision analysis method can support the assessment of the maturity level of local government entities. Moreover, the combination of the PROMETHEE II–empowered assessment framework with demographic statistical analysis can assist orthological decision-making concerning future investments in Web Electronic Services. The methodology could be a good option for future research efforts (assessments) in municipalities, in Greece and worldwide. Practical implications The framework is both easy to use and fairly complete. The fact that the assessment was conducted in all the Greek municipalities makes it much more reliable, as it provides the whole picture. The suggested methodology which includes the proposed framework could be used in the cases of municipalities in other countries to assist future actions concerning the investment in Web Electronic Services. Originality/value This study provided a medium-size framework, being both complete and easy to use during the evaluation process of all the municipalities in Greece. In addition, the statistical analysis received data from a decision-making tool to execute the clustering (Cluster analysis is usually performed based on the raw data).

Statistical Analysis of International Interdependencies

2017 ◽  
Author(s):  
Michael D. Ward
Keyword(s):  
Decision Making ◽  
Statistical Analysis ◽  
International Relations ◽  
World Politics ◽  
Strategic Decision ◽  
Systematic Data ◽  
Causes Of War ◽  
The University ◽  
Interdisciplinary Study ◽  
Violent Conflicts

The origin of the statistical analysis of international relations can be traced back to 1920s with the work of Quincy Wright, who founded the University of Chicago’s Committee on International Relations. He led an interdisciplinary study of war that provided a first compendium of what was then known about the causes of war. Wright's studies and those that came after them were based on the assumption that systematic data were required to advance our knowledge about the causes of violent conflicts, and that an analysis of the dynamics of strategic decision making were essential; in short, systematic data coupled with a theoretical framework that focused on the decision-making calculus. However, debates soon raged over whether this scientific approach was better than the classical approach, which was based on philosophy, history, and law, and did not conform to strict standards of verification and proof. Since then, the literature has evolved into studies with a strong theoretical motivation, often expressed via game theoretical analytics, examined empirically with statistical frameworks that are specifically sculpted to probe those strategic dependencies. As such, existing models have resolved the levels of analysis problem that appeared daunting to earlier generations by actually focusing on the modeling of aspects of world politics that enjoin many different levels simultaneously.

scholarly journals A Study on the Sustainable Development for Senior Learners

2019 ◽  
Vol 11 (22) ◽  
pp. 6338 ◽  
Author(s):  
Zne-Jung Lee ◽  
Hsiang Huang ◽  
Chou-Yuan Lee ◽  
Yi-Huo Jiang ◽  
Chun-Yen Chang
Keyword(s):  
Decision Making ◽  
Sustainable Development ◽  
Statistical Analysis ◽  
Random Forest ◽  
Decision Rules ◽  
Random Forest Model ◽  
The Sustainable Development ◽  
Forest Model ◽  
Positive Experiences ◽  
The Government

In an aging population with a changing demographic structure, the government aims to ensure that elderly people receive care. In the concept of lifelong learning, education opportunities are available to senior learners, not just children and young people. The sustainable development for senior learners becomes a very important issue because it promotes a variety of learning activities for senior learners. Many universities have started to offer education for senior learners in Taiwan. Positive experiences for senior learners in senior universities can be fostered by ensuring the sustainable development of senior education. In this paper, a study on sustainable development for senior learners is proposed. This study aims to explore potential tools or approaches in evaluating the sustainable development for senior learners for decision making. In this study, two approaches are applied to analyze the sustainable development for senior learners. The first is a statistical analysis, and the second is the random forest model. The methodology of statistical analysis focuses on three aspects such as social assistance, inspiration, and the learning fulfillment for senior learners in senior universities. The random forest model is used to generate decision rules to support decision making. The random forest in this study obtained 22 decision rules. The results suggest that the items in the questionnaire and the decision rules from random forest could provide useful information that allows decision-makers to analyze the sustainable development of senior learners.

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