scholarly journals Music Perception and Cognition Research from 1983 to 2010: A Categorical and Bibliometric Analysis of Empirical Articles in Music Perception

2011 ◽  
Vol 29 (1) ◽  
pp. 23-36 ◽  
Author(s):  
Anna K. Tirovolas ◽  
Daniel J. Levitin

in this review we sought to document the longitudinal course of empirical studies in the journal Music Perception, from the journal’s first issue in 1983 to 2010. The aim was to systematically characterize the nature of empirical research in one of the principal peer-reviewed outlets for work in our field, and to consider these data as a sample representing the overall course of research across the last three decades. Specific domains examined within each article were: Topics, Participants, Stimuli, Materials, and Outcome Measures. In total, 384 empirical articles in the journal were examined. In addition, relevant details were extracted from the full set of 578 articles regarding geographic and disciplinary (departmental) distribution of the authors. Together, the data we report allow an examination of 26-year trends in music research. These are made available in a database that is fully searchable or sortable by interested researchers.

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Chantal Morin ◽  
Isabelle Gaboury

Abstract Background Despite the increasing use of osteopathy, a manipulative complementary and alternative medicine therapy, in the general population, its efficacy continues to be debated. In this era of evidence-based practice, no studies have previously reviewed the scientific literature in the field to identify published knowledge, trends and gaps in empirical research. The aims of this bibliometric analysis are to describe characteristics of articles published on the efficacy of osteopathic interventions and to provide an overall portrait of their impacts in the scientific literature. Methods A bibliometric analysis approach was used. Articles were identified with searches using a combination of relevant MeSH terms and indexing keywords about osteopathy and research designs in MEDLINE and CINAHL databases. The following indicators were extracted: country of primary author, year of publication, journals, impact factor of the journal, number of citations, research design, participants’ age group, system/body part addressed, primary outcome, indexing keywords and types of techniques. Results A total of 389 articles met the inclusion criteria. The number of empirical studies doubled every 5 years, with the United States, Italy, Spain, and United Kingdom being the most productive countries. Twenty-three articles were cited over 100 times. Articles were published in 103 different indexed journals, but more than half (53.7%) of articles were published in one of three osteopathy-focused readership journals. Randomized control trials (n = 145; 37.3%) and case reports (n = 142; 36.5%) were the most common research designs. A total of 187 (48.1%) studies examined the effects of osteopathic interventions using a combination of techniques that belonged to two or all of the classic fields of osteopathic interventions (musculoskeletal, cranial, and visceral). Conclusion The number of osteopathy empirical studies increased significantly from 1980 to 2014. The productivity appears to be very much in sync with practice development and innovations; however, the articles were mainly published in osteopathic journals targeting a limited, disciplinary-focused readership.


2014 ◽  
Vol 62 (1) ◽  
pp. 66-77 ◽  
Author(s):  
Frank M. Diaz ◽  
Jason M. Silveira

The purpose of this study was to establish trends in the study of music and affective phenomena through a content and bibliometric analysis of three eminent music research journals, the Journal of Research in Music Education, Psychology of Music, and Music Perception, for the years 1990 through 2009. Excluding editorials, paper responses, and book reviews, 1,293 articles were examined, resulting in 286 (22%) publications that met criteria for further analysis. Data indicated several trends with respect to the sample analyzed, including a notable but not significant decrease of affective studies in the Journal of Research in Music Education, with significant increases in the journal Music Perception. Other trends indicated the emergence of topics and methods that were less prevalent when compared to the overall sample but that evidenced significant increases throughout the period analyzed. These increases occurred for topics relating to expression, physiological and neurological issues and for the use of descriptive methodologies. Other notable trends included increases in examinations of folk, jazz, and world musics.


2021 ◽  
Vol 11 (6) ◽  
pp. 294
Author(s):  
Samantha LeBouef ◽  
Jodi Dworkin

The majority of empirical literature on first generation college students (FGCSs) in the U.S. asserts that because their parents did not attend college, FGCSs are lacking important resources to be successful in college. However, this results in a deficit-based approach to the study of FGCSs that tends to highlight the differences between first-generation and continuing-education students. However, FGCSs possess a wealth of resources from parents and families that make them successful, and that are often ignored in research. Asset-based approaches to the study of FGCSs are becoming more frequent in the form of books, book chapters, and white papers; however, published empirical research has yet to adopt this approach. As a result, a deeper understanding of FGCSs’ experiences is essential to advancing diversity and equity in higher education. To begin to address this gap, a systematic literature review of empirical studies following the PRISMA framework was conducted on first generation college students and family support; the literature was critically reviewed and future directions for the field were identified. Applying a critical, cultural, and familial lens to the study of first-generation college students will contribute to reframing the research narrative towards an asset-based narrative.


2005 ◽  
Vol 19 (3) ◽  
pp. 137-140 ◽  
Author(s):  
Ulrich Trautwein ◽  
Oliver Lüdtke

Summary: Reference group effects on self-concept have been examined in a multitude of empirical studies in various educational settings. Effects of this kind have been most rigorously demonstrated by Herbert W. Marsh, who introduced the term big-fish-little-pond effect (BFLPE) to describe the finding that students' self-concept is negatively affected by the achievement level of other students in the same class or school. The phenomenon of the BFLPE is supported by a large body of empirical research. In this contribution, we first discuss mechanisms underlying the BFLPE. Second, we address reference group effects on educational outcomes other than self-concept. Finally, we briefly discuss educational implications of the BFLPE.


2021 ◽  
Author(s):  
Jianxia Gong ◽  
Vikrant Sihag ◽  
Qingxia Kong ◽  
Lindu Zhao

BACKGROUND The recent surge in clinical and nonclinical health-related data has been accompanied by a concomitant increase in personal health data (PHD) research across multiple disciplines such as medicine, computer science, and management. There is now a need to synthesize the dynamic knowledge of PHD in various disciplines to spot potential research hotspots. OBJECTIVE The aim of this study was to reveal the knowledge evolutionary trends in PHD and detect potential research hotspots using bibliometric analysis. METHODS We collected 8281 articles published between 2009 and 2018 from the Web of Science database. The knowledge evolution analysis (KEA) framework was used to analyze the evolution of PHD research. The KEA framework is a bibliometric approach that is based on 3 knowledge networks: reference co-citation, keyword co-occurrence, and discipline co-occurrence. RESULTS The findings show that the focus of PHD research has evolved from medicine centric to technology centric to human centric since 2009. The most active PHD knowledge cluster is developing knowledge resources and allocating scarce resources. The field of computer science, especially the topic of artificial intelligence (AI), has been the focal point of recent empirical studies on PHD. Topics related to psychology and human factors (eg, attitude, satisfaction, education) are also receiving more attention. CONCLUSIONS Our analysis shows that PHD research has the potential to provide value-based health care in the future. All stakeholders should be educated about AI technology to promote value generation through PHD. Moreover, technology developers and health care institutions should consider human factors to facilitate the effective adoption of PHD-related technology. These findings indicate opportunities for interdisciplinary cooperation in several PHD research areas: (1) AI applications for PHD; (2) regulatory issues and governance of PHD; (3) education of all stakeholders about AI technology; and (4) value-based health care including “allocative value,” “technology value,” and “personalized value.”


This chapter studies how modeling supports empirical research. The benefit of integrating modeling and empirical research has long been recognized: theorists and modelers pose hypotheses that empirical researchers then design studies to test, and empirical research informs the development of new hypotheses. Such integration may be particularly valuable in frameworks that include multiple levels of organization, from individuals to populations to communities. But does working across levels of organization change the relationships of theory, modeling, and empirical research? What kinds of field and laboratory studies do we need, and at what levels of organization, to support modeling? The chapter assesses these questions. Thinking about the relation between modeling and empirical research requires one to address the entire process of model-based research, which is usefully characterized as a modeling cycle. The chapter then explores how the kind of modeling and theory development presented in this book can contribute to empirical studies and research.


2019 ◽  
Vol 67 (1) ◽  
pp. 67-79 ◽  
Author(s):  
Katarzyna Haverkamp

Zusammenfassung In der empirischen Wirtschaftsforschung zeigt sich ein zunehmendes Interesse an der Untersuchung der Fragen der Gründungsdynamik und des Gründungserfolgs im Kontext der deutschen Handwerkswirtschaft. Eine besondere Herausforderung für diese Analysen besteht jedoch darin, dass eine statistische Abgrenzung des juristisch definierten Handwerkssektors in den vorliegenden Sekundärdatensätzen meist nur mit Einschränkungen möglich ist. Vor diesem Hintergrund analysiert dieser Beitrag Möglichkeiten und Grenzen einer statistischen Abgrenzung des Handwerks in Mikrodatensätzen und untersucht unterschiedliche, bislang verwendete Identifikationsverfahren im Hinblick auf die Repräsentativität der jeweils gewonnen Stichproben. Im Ergebnis zeigt der Beitrag die Stärken und Schwächen unterschiedlicher Identifikationsverfahren und formuliert Empfehlungen hinsichtlich ihrer Verwendung in der Entrepreneurship-Forschung. Abstract Recently, several empirical studies investigate the causal effects of regulation on market entry and exit using the example of the German crafts sector. However, since the definition of the sector is made on legal- and not statistical basis, the identification of crafts companies and employees in microdata records is an intricate process. This paper examines different identification strategies that have been used so far in empirical research and investigates whether the resulting samples are consistent with the overall population in question. The paper contributes to existing economic research by providing an understanding for the potential pitfalls when analyzing sub-groups in larger datasets and by formulating an explicit recommendation for the case of the research on regulation and entry in the German crafts sector.


Author(s):  
Meliha Handzic

The book starts with an introduction to theoretical foundations of knowledge management concepts, proceeds with a series of empirical studies on the role of technology in knowledge management, followed by studies of socially orientated knowledge management solutions. The book ends with the discussion of major issues and challenges for knowledge management research and practice. With its integrated and systematic approach, the book makes a small but important step in helping individuals and organisations to get an objective and complete picture of the role of social and technical initiatives in knowledge management based on formal and sound empirical research. More importantly, the book shows that the impact of various initiatives is highly contingent upon the context in which the knowledge is generated, transferred, and used. This may help managers to choose more suitable solutions to turn their intangible assets into tangible outcomes.


Author(s):  
Meliha Handzic

The book starts with an introduction to theoretical foundations of knowledge management concepts, proceeds with a series of empirical studies on the role of technology in knowledge management, followed by studies of socially orientated knowledge management solutions. The book ends with the discussion of major issues and challenges for knowledge management research and practice. With its integrated and systematic approach, the book makes a small but important step in helping individuals and organisations to get an objective and complete picture of the role of social and technical initiatives in knowledge management based on formal and sound empirical research. More importantly, the book shows that the impact of various initiatives is highly contingent upon the context in which the knowledge is generated, transferred, and used. This may help managers to choose more suitable solutions to turn their intangible assets into tangible outcomes.


Author(s):  
Meliha Handzic

The book starts with an introduction to theoretical foundations of knowledge management concepts, proceeds with a series of empirical studies on the role of technology in knowledge management, followed by studies of socially orientated knowledge management solutions. The book ends with the discussion of major issues and challenges for knowledge management research and practice. With its integrated and systematic approach, the book makes a small but important step in helping individuals and organisations to get an objective and complete picture of the role of social and technical initiatives in knowledge management based on formal and sound empirical research. More importantly, the book shows that the impact of various initiatives is highly contingent upon the context in which the knowledge is generated, transferred, and used. This may help managers to choose more suitable solutions to turn their intangible assets into tangible outcomes.


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