An Examination of Research Collaboration in Psychometrics Utilizing Social Network Analysis Methods

Autor/in	DiCrecchio, Nicole C.
Titel	An Examination of Research Collaboration in Psychometrics Utilizing Social Network Analysis Methods
Quelle	(2016), (133 Seiten) PDF als Volltext Verfügbarkeit Ed.D. Dissertation, Teachers College, Columbia University
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
ISBN	978-1-3398-2951-7
Schlagwörter	Hochschulschrift; Dissertation; Social Networks; Network Analysis; Psychometrics; Cooperation; Longitudinal Studies; Authors; Periodicals; Institutional Characteristics; Gender Differences; Search Strategies; Scientific Research; Information Retrieval + Suchen Sie Ihr Suchwort? Thesis; Dissertations; Academic thesis; Social network; Soziales Netzwerk; Netzplantechnik; Psychometry; Psychometrie; Co-operation; Kooperation; Longitudinal study; Longitudinal method; Longitudinal methods; Längsschnittuntersuchung; Author; Autor; Autorin; Periodical; Journal; Zeitschrift; Fachzeitschrift; Periodikum; Geschlechterkonflikt; Suchstrategie
Abstract	Co-authorship networks have been studied in many fields as a way to understand collaboration patterns. However, a comprehensive exploration of the psychometrics field has not been conducted. Also, few studies on co-author networks have included longitudinal analyses as well as data on the characteristics of authors in the network. Including both longitudinal analyses and author characteristics can lead to enhanced understanding of collaboration patterns to determine whether the existing network structure of collaboration in psychometrics hampers or helps the productivity of research. Therefore, this dissertation contributes to the study of scientific collaboration as measured by co-author networks and to the field of psychometrics by including longitudinal analyses, collecting demographic data on the authors as well as a keyword analysis. Social network analysis methods were used. The data collected came from five prominent psychometric journals over a ten-year period (2005-2014). In order to determine what the network properties were as well as how the psychometrics field has evolved, network statistics were calculated for each year subnetwork and for the overall network. Findings suggest the psychometrics network varied little throughout the time period. Furthermore, the psychometrics network was found to have many small groups of researchers unconnected to the rest of the network, indicating that the field has many subcliques. To explore network structure further, demographic variables such as institution, gender, and country were analyzed to determine how they were associated with collaboration patterns. Results indicated that little collaboration occurred across institutions and across countries. Publication keywords were collected and analyzed to determine if they could identify and explain clustering patterns in the network. Results indicated that many clusters consisted of one productive author and his/her co-authors. This phenomenon tends to create cliques in the network. The keyword analysis also revealed that the topic of equating was an area of increasing interest. The findings have implications for understanding the nature of contributions in the field of psychometrics. In particular, it can be inferred that the field could enhance productivity by making efforts to reduce the occurrence of cliques. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.] (As Provided).
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Update	2020/1/01