Exploring the interactions underlying flow states: A connecting analysis of flow occurrence in European Tour golfers

Objectives: Research to date has identified a range of factors suggested to facilitate flow states in sport. However, less attention has focused on how exactly those facilitating factors influence the occurrence of flow. Therefore, this study aimed to explore the specific ways in which such facilitators influenced flow occurrence in European Tour golfers. Design: Qualitative design. Method: Ten full-time golfers from the European Tour (M age=37; SD=13.08) participated in semi-structured interviews investigating the occurrence of their flow states. Data were interpreted using an iterative process of thematic and connecting analyses. Results: Ten facilitators of flow were identified, of which commitment and the caddie have not been reported previously. Twenty four connecting links were identified in the data, through which the caddie, effective preparation, and high-quality performance appeared to be most influential for flow occurrence. Confidence and concentration also emerged as key constructs underlying the flow experience in this setting. Conclusion: A central contribution of this study is the identification of ways in which facilitating factors could influence flow occurrence in elite golf. This process adds detail to understanding of flow occurrence, and moves beyond simply identifying factors which are associated with the experience. As such, connecting analysis is proposed as an additional strategy for qualitatively investigating flow occurrence in sport. Results are discussed in relation to previous literature, and recommendations are identified for researchers, athletes, coaches and practitioners

New frontiers in QLR: definition, design and display

Research that is attentive to temporal processes and durational phenomena is an important tradition within the social sciences internationally with distinct disciplinary trajectories. Qualitative longitudinal research emerged as a distinct methodological paradigm around the turn of the millennium, named within the UK through journal special issues, literature reviews and funding commitments. In 2012-3 the ESRC National Centre for Research Methods funded a network for methodological innovation to map ’New frontiers of QLR’, bringing together a group of scholars who have been actively involved in establishing QLR as a methodological field. The network provided an opportunity to consolidate the learning that has developed in QLR over a sustained period of investment and to engage critically with what QLR might mean in new times. This paper documents the series of discussions staged by the network involving the definition of QLR, the kinds of relationships and practices it involves and the consequences of these in a changing landscape for social research. The series was deliberately interdisciplinary ensuring that we engaged with the temporal perspectives and norms of different academic and practice traditions and this has both enriched and complicated the picture that has emerged from our deliberations. In this paper we argue that QLR is a methodological paradigm that by definition moves with the times, and is an ongoing site of innovation and experiment. Key issues identified for future development in QLR include: intervening in debates of ‘big data’ with visions of deep data that involve following and connecting cases over time; the potential of longitudinal approaches to reframe the ‘sample’ exploring new ways of connecting the particular and the general; new thinking about research ethics that move us beyond anonymity to better explore the meanings of confidentiality and the co-production of research knowledge; and finally the promotion of a QLR sensibility that involves a heightened awareness of the here and now in the making of knowledge, yet which also connects research biographically over a career, enriched by a reflexive understanding of time as a resource in the making of meaning

The Research Space: using the career paths of scholars to predict the evolution of the research output of individuals, institutions, and nations

In recent years scholars have built maps of science by connecting the academic fields that cite each other, are cited together, or that cite a similar literature. But since scholars cannot always publish in the fields they cite, or that cite them, these science maps are only rough proxies for the potential of a scholar, organization, or country, to enter a new academic field. Here we use a large dataset of scholarly publications disambiguated at the individual level to create a map of science-or research space-where links connect pairs of fields based on the probability that an individual has published in both of them. We find that the research space is a significantly more accurate predictor of the fields that individuals and organizations will enter in the future than citation based science maps. At the country level, however, the research space and citations based science maps are equally accurate. These findings show that data on career trajectories-the set of fields that individuals have previously published in-provide more accurate predictors of future research output for more focalized units-such as individuals or organizations-than citation based science maps

Adapting Practices from Qualitative Research to Tell a Compelling Story: A Practical Framework for Conducting a Literature Review

Despite the literature review being a common task for researchers, the actual process of conducting a quality literature review can easily be taken for granted. In effort to help qualitative researchers, this paper presents a practical framework for conducting a literature review that stems from qualitative research practices. As a literature review is essentially an analysis of rich textual information, qualitative research concepts, and skills can be creatively applied to the process of conducting a literature review. The present paper aims to share the fruits of qualitative analysis with researchers from all disciplines so that they may make sense of this rich information and tell a coherent and compelling story regarding their own analysis. In particular, this paper outlines foundational similarities between qualitative research and literature reviews and then proceeds to provide adaptable guidelines for connecting qualitative research skills to carrying out a rigorous literature review. We hope to incite curiosity and reflection on how qualitative research skills can be valuable beyond just analyzing qualitative data

Flashcard-Based Augmented Reality To Increase Students' Scientific Literacy

Augmented Reality (AR) is a type of learning media that combines virtual and real worlds in real-time. It can make it easier for students to visualize the phenomena. This research aimed to measure flashcard-based AR’s effectiveness based on scientific literature. This research used a quasi-experimental method using a post-test-only control group design, and the participants were 60 college students at Universitas PGRI Adi Buana Surabaya. Data in the research were collected through tests to determine students’ scientific literacy skills, including aspects of knowledge and competence in analyzing scientific phenomena, connecting physics concepts to existing phenomena, and interpreting data or scientific evidence and questionnaires. The data were analyzed by calculating the average test score according to scientific literature and the percentage of user satisfaction. Based on the research, using flashcard-based augmented reality could increase the students’ scientific literacy. Keywords: augmented reality; learning media; scientific literac

Science, Methods in Science, and Contributions of Muslim Scientists to the Development of Science: Analysis of Nidhal Guessoum's Thought

This study aims to find out how information literacy which is part of library science becomes an ability to understand the integration between science and Islam and its implementation in life. This type of research is descriptive with literature review data sources. Meanwhile, this literature review was carried out in four stages consisting of: (a) focusing on the problem to be studied; (b) connecting literature with problems in a balanced way; (c) include clear research statements based on the methodology in the literature; and (d) critically analyze and evaluate the literature reviewed based on the research discussion. Based on the results of a study of religion and science in a book by Nidhal Goesseoum, it shows that Nidhal Guessoum chose at least 4 Muslim scientists to be the main characters, namely Seyyed Hoessin Nasr, Ziauddin Sardar, Abdussalam and al Faruqi, who classify each other as dialectics in chapters 3 and 4 Considering that the philosophy and theoretical foundations as well as the formulas used by science are sourced from the Qur'an and Hadith, it is concluded that science is not contrary to Isla

Data Curation Strategies to Support Responsible Big Social Research and Big Social Data Reuse

Big social research repurposes existing data from online sources such as social media, blogs, or online forums, with a goal of advancing knowledge of human behavior and social phenomena. Big social research also presents an array of challenges that can prevent data sharing and reuse. This brief report presents an overview of a larger study that aims to understand the data curation implications of big social research to support use and reuse of big social data. The study, which is based in the United States, identifies six key issues relating to big social research and big social data curation through a review of the literature. It then further investigates perceptions and practices relating to these six key issues through semi-structured interviews with big social researchers and data curators. This report concludes with implications for data curation practice: metadata and documentation, connecting with researchers throughout the research process, data repository services, and advocating for community standards. Supporting responsible practices for using big social data can help scale up social science research, thus enhancing our understanding of human behavior and social phenomena

A Natural Language Processing Pipeline for Detecting Informal Data References in Academic Literature

Discovering authoritative links between publications and the datasets that they use can be a labor-intensive process. We introduce a natural language processing pipeline that retrieves and reviews publications for informal references to research datasets, which complements the work of data librarians. We first describe the components of the pipeline and then apply it to expand an authoritative bibliography linking thousands of social science studies to the data-related publications in which they are used. The pipeline increases recall for literature to review for inclusion in data-related collections of publications and makes it possible to detect informal data references at scale. We contribute (1) a novel Named Entity Recognition (NER) model that reliably detects informal data references and (2) a dataset connecting items from social science literature with datasets they reference. Together, these contributions enable future work on data reference, data citation networks, and data reuse.Comment: 13 pages, 7 figures, 3 table

The Data Product Canvas - A Visual Collaborative Tool for Designing Data-Driven Business Models

The availability of data sources and advances in analytics and artificial intelligence offers the opportunity for organizations to develop new data-driven products, services and business models. Though, this process is challenging for traditional organizations, as it requires knowledge and collaboration from several disciplines such as data science, domain experts, or business perspective. Furthermore, it is challenging to craft a meaningful value proposition based on data; whereas existing research can provide little guidance. To overcome those challenges, we conducted a Design Science Research project to derive requirements from literature and a case study, develop a collaborative visual tool and evaluate it through several workshops with traditional organizations. This paper presents the Data Product Canvas, a tool connecting data sources with the user challenges and wishes through several intermediate steps. Thus, this paper contributes to the scientific body of knowledge on developing data-driven business models, products and services

Decision Sciences, Economics, Finance, Business, Computing, and Big Data: Connections

This paper provides a review of some connecting literature in Decision Sciences, Economics, Finance, Business, Computing, and Big Data. We then discuss some research that is related to the six cognate disciplines. Academics could develop theoretical models and subsequent econometric and statistical models to estimate the parameters in the associated models. Moreover, they could then conduct simulations to examine whether the estimators or statistics in the new theories on estimation and hypothesis have small size and high power. Thereafter, academics and practitioners could then apply their theories to analyze interesting problems and issues in the six disciplines and other cognate areas