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      Understanding levels of best practice: An empirical validation

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          Abstract

          Recent research has explored the nature of the theoretical concept of optimal best practice, which emphasizes the importance of personal resolve, inner strength, and the maximization of a person’s development, whether it is mental, cognitive, social, or physical. In the context of academia, the study of optimal functioning places emphasis on a student’s effort expenditure, positive outlook, and determination to strive for educational success and enriched subjective well-being. One major inquiry closely associated with optimal functioning is the process of optimization. Optimization, in brief, delves into the enactment of different psychological variables that could improve a person’s internal state of functioning (e.g., cognitive functioning). From a social sciences point of view, very little empirical evidence exists to affirm and explain a person’s achievement of optimal best practice. Over the past five years, we have made extensive progress in the area of optimal best practice by developing different quantitative measures to assess and evaluate the importance of this theoretical concept. The present study, which we collaborated with colleagues in Taiwan, involved the use of structural equation modeling (SEM) to analyze a cohort of Taiwanese university students’ ( N = 1010) responses to a series of Likert-scale measures that focused on three major entities: (i) the importance of optimal best practice, (ii) three major psychological variables (i.e., effective functioning, personal resolve, and emotional functioning) that could optimize student’ optimal best levels in academic learning, and (iii) three comparable educational outcomes (i.e., motivation towards academic learning, interest in academic learning, and academic liking experience) that could positively associate with optimal best practice and the three mentioned psychological variables. Findings that we obtained, overall, fully supported our initial a priori model. This evidence, in its totality, has made substantive practical, theoretical, and methodological contributions. Foremost, from our point of view, is clarity into the psychological process of optimal best practice in the context of schooling. For example, in relation to subjective well-being experiences, how can educators optimize students’ positive emotions? More importantly, aside from practical relevance, our affirmed research inquiry has produced insightful information for further advancement. One distinction, in this case, entails consideration of a more complex methodological design that could measure, assess, and evaluate the impact of optimization.

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          Most cited references50

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          New Well-being Measures: Short Scales to Assess Flourishing and Positive and Negative Feelings

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            Applications of structural equation modeling in psychological research.

            This chapter presents a review of applications of structural equation modeling (SEM) published in psychological research journals in recent years. We focus first on the variety of research designs and substantive issues to which SEM can be applied productively. We then discuss a number of methodological problems and issues of concern that characterize some of this literature. Although it is clear that SEM is a powerful tool that is being used to great benefit in psychological research, it is also clear that the applied SEM literature is characterized by some chronic problems and that this literature can be considerably improved by greater attention to these issues.
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              Positive psychology. An introduction.

              A science of positive subjective experience, positive individual traits, and positive institutions promises to improve quality of life and prevent the pathologies that arise when life is barren and meaningless. The exclusive focus on pathology that has dominated so much of our discipline results in a model of the human being lacking the positive features that make life worth living. Hope, wisdom, creativity, future mindedness, courage, spirituality, responsibility, and perseverance are ignored or explained as transformations of more authentic negative impulses. The 15 articles in this millennial issue of the American Psychologist discuss such issues as what enables happiness, the effects of autonomy and self-regulation, how optimism and hope affect health, what constitutes wisdom, and how talent and creativity come to fruition. The authors outline a framework for a science of positive psychology, point to gaps in our knowledge, and predict that the next century will see a science and profession that will come to understand and build the factors that allow individuals, communities, and societies to flourish.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: InvestigationRole: MethodologyRole: Writing – review & editing
                Role: Data curationRole: Funding acquisitionRole: Project administrationRole: ResourcesRole: Supervision
                Role: Data curationRole: Funding acquisitionRole: ResourcesRole: Supervision
                Role: Data curationRole: MethodologyRole: Project administrationRole: Supervision
                Role: Data curationRole: Funding acquisitionRole: Project administrationRole: Supervision
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                14 June 2018
                2018
                : 13
                : 6
                : e0198888
                Affiliations
                [1 ] School of Education, University of New England, Armidale, NSW, Australia
                [2 ] Department of Philosophy, Huafan University, New Taipei City, Taiwan
                [3 ] Department of Buddhist Studies, Huafan University, New Taipei City, Taiwan
                [4 ] Graduate Institute of Asian Humanities, Huafan University, New Taipei City, Taiwan
                [5 ] Industrial Engineering and Management Information, Huafan University, New Taipei City, Taiwan
                Indiana University, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                ‡ These authors also contributed equally to this work.

                Author information
                http://orcid.org/0000-0002-3066-4647
                Article
                PONE-D-18-11626
                10.1371/journal.pone.0198888
                6002041
                29902278
                f418f373-7b4e-4775-a5da-d714cee004f6
                © 2018 Phan et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 19 April 2018
                : 28 May 2018
                Page count
                Figures: 2, Tables: 3, Pages: 24
                Funding
                The authors received no specific funding for this work.
                Categories
                Research Article
                Biology and Life Sciences
                Neuroscience
                Cognitive Science
                Cognitive Psychology
                Learning
                Biology and Life Sciences
                Psychology
                Cognitive Psychology
                Learning
                Social Sciences
                Psychology
                Cognitive Psychology
                Learning
                Biology and Life Sciences
                Neuroscience
                Learning and Memory
                Learning
                Biology and Life Sciences
                Psychology
                Emotions
                Social Sciences
                Psychology
                Emotions
                Biology and Life Sciences
                Neuroscience
                Cognitive Science
                Cognitive Psychology
                Learning
                Human Learning
                Biology and Life Sciences
                Psychology
                Cognitive Psychology
                Learning
                Human Learning
                Social Sciences
                Psychology
                Cognitive Psychology
                Learning
                Human Learning
                Biology and Life Sciences
                Neuroscience
                Learning and Memory
                Learning
                Human Learning
                Research and Analysis Methods
                Research Design
                Survey Research
                Questionnaires
                Physical Sciences
                Mathematics
                Optimization
                Social Sciences
                Sociology
                Education
                Schools
                Biology and Life Sciences
                Psychology
                Social Sciences
                Psychology
                Medicine and Health Sciences
                Mental Health and Psychiatry
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                All relevant data are within the paper and its Supporting Information files, and may also be obtained from https://osf.io/a3cvb/.

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