scholarly journals Comparative Views on Research Productivity Differences between Major Social Science Fields in Vietnam: Structured Data and Bayesian Analysis, 2008–2018

2020 ◽  
Author(s):  
Quan Hoang Vuong ◽  
Viet-Phuong La ◽  
Thu-Trang Vuong ◽  
Mạnh Tùng Hồ ◽  
Minh-Hoang Nguyen ◽  
...  
Keyword(s):  
Social Science ◽  
Bayesian Analysis ◽  
Research Productivity ◽  
Structured Data ◽  
Major Social Science

Understanding Bayesianism: Fundamentals for Process Tracers

2021 ◽  
pp. 1-8
Author(s):  
Andrew Bennett ◽  
Andrew E. Charman ◽  
Tasha Fairfield
Keyword(s):  
Social Science ◽  
Bayesian Analysis ◽  
Qualitative Methods ◽  
Recent Work ◽  
The State ◽  
Process Tracing ◽  
Bayesian Reasoning ◽  
Mutual Exclusivity ◽  
Positive View

Abstract Bayesian analysis has emerged as a rapidly expanding frontier in qualitative methods. Recent work in this journal has voiced various doubts regarding how to implement Bayesian process tracing and the costs versus benefits of this approach. In this response, we articulate a very different understanding of the state of the method and a much more positive view of what Bayesian reasoning can do to strengthen qualitative social science. Drawing on forthcoming research as well as our earlier work, we focus on clarifying issues involving mutual exclusivity of hypotheses, evidentiary import, adjudicating among more than two hypotheses, and the logic of iterative research, with the goal of elucidating how Bayesian analysis operates and pushing the field forward.

Research productivity of sociology PhD candidates at interdisciplinary schools of social science at elite Australian universities, 2013–17: A gender perspective

2020 ◽  
pp. 144078332092709
Author(s):  
Adam Rajčan ◽  
Edgar A. Burns
Keyword(s):  
Social Science ◽  
Doctoral Students ◽  
Research Productivity ◽  
Research Output ◽  
Gender Composition ◽  
Academic Leaders ◽  
Students First ◽  
Phd Theses ◽  
Methodological Approaches ◽  
Australian Universities

Gender data are presented from a study into sociology PhD completions and student research outputs during enrolment at Australian ‘Group of Eight’ interdisciplinary schools of social science. Findings confirm views and impressions offered by Australian sociology academic leaders. The present data contributes to this wider discussion by describing patterns in the contemporary cohort of sociology PhD students. First, we document a stable gender composition of the discipline in Australia reflective of the literature across several decades rather than a recent feminisation process. Second, we report for this cohort of contemporary PhD sociology completions in Australia women and men publish at similar rates during candidacy. Third, there is no significant gendered difference between students at any level of research output production. Fourth, methodological approaches used by sociology doctoral students confirm the epistemological domination of qualitative analysis in this current cohort of sociology PhD theses.

Archaeology and the Aztec Economy: The Social Scientific Use of Archaeological Data

1987 ◽  
Vol 11 (3) ◽  
pp. 237-259 ◽  
Author(s):  
Michael E. Smith
Keyword(s):  
Social Science ◽  
Material Culture ◽  
Material Objects ◽  
Economic Systems ◽  
Economic Activities ◽  
Ancient Technology ◽  
Archaeological Data ◽  
Long Time ◽  
Social Scientific ◽  
Major Social Science

Recent theoretical and methodological developments within anthropological archaeology have transformed the discipline in such a way that archaeology is now beginning to make contributions to a number of areas of social science. Two of the more significant of these areas are the question of socioeconomic change over long time spans and the study of past economic systems. The former contribution arises out of the stratigraphie character of the archaeological record and the development of increasingly accurate methods of measuring past time. Archaeological studies typically deal with change over periods of time equivalent to or even longer than Braudel’s (1980)“longue durée”(e.g., Sanders, Parsons, and Santley, 1979; Blanton et al., 1981), and many archaeologists see this diachronic social perspective as the primary contribution of archaeology to social science knowledge (Plog, 1973). The second major contribution of archaeology—the study of past economic systems—is made possible by archaeologists’ reliance upon material culture. Beyond the obvious link between material objects and the study of ancient technology, material culture can be quite revealing about many types of economic activities as well as other sociocultural phenomena (e.g., Gould and Schiffer, 1981). This focus on material objects is so crucial to archaeologists that some have suggested that the major social science contribution of the field is its concern with the relationship between behavior and material culture in modern as well as ancient societies (e.g., Rathje and Schiffer, 1982; Rathje, 1979).

scholarly journals Gender Inequality in Research Productivity During the COVID-19 Pandemic

2021 ◽  
Author(s):  
Ruomeng Cui ◽  
Hao Ding ◽  
Feng Zhu
Keyword(s):  
Social Science ◽  
Gender Equity ◽  
Research Productivity ◽  
Academic Research ◽  
The United States ◽  
Unintended Consequences ◽  
Problem Definition ◽  
Work From Home ◽  
Academic Activities ◽  
Managerial Implications

Problem definition: We study the disproportionate impact of the lockdown as a result of the COVID-19 outbreak on female and male academic research productivity in social science. Academic/practical relevance: The lockdown has caused substantial disruptions to academic activities, requiring people to work from home. How this disruption affects productivity and the related gender equity is an important operations and societal question. Methodology: We collect data from the largest open-access preprint repository for social science on 41,858 research preprints in 18 disciplines produced by 76,832 authors across 25 countries over a span of two years. We use a difference-in-differences approach leveraging the exogenous pandemic shock. Results: Our results indicate that, in the 10 weeks after the lockdown in the United States, although total research productivity increased by 35%, female academics’ productivity dropped by 13.2% relative to that of male academics. We also show that this intensified productivity gap is more pronounced for assistant professors and for academics in top-ranked universities and is found in six other countries. Managerial implications: Our work points out the fairness issue in productivity caused by the lockdown, a finding that universities will find helpful when evaluating faculty productivity. It also helps organizations realize the potential unintended consequences that can arise from telecommuting.

scholarly journals Ranking of Sustainability Journals Using the Author Affiliation Index and Comparison to Other Journal Metrics

2020 ◽  
Vol 12 (3) ◽  
pp. 1104
Author(s):  
Matías Ginieis ◽  
Xiaoni Li
Keyword(s):  
Social Science ◽  
Research Productivity ◽  
Web Of Science ◽  
Environmental Studies ◽  
Academic Journal ◽  
High Quality ◽  
Quality Rating ◽  
Preliminary Study ◽  
The Web

An important component in evaluating research productivity is the quality of the academic journal. For this reason, the objective of this paper is to analyze the Author Affiliation Index (AAI) in sustainability field journals as a preliminary study to offer some insights into quality rating of journals in this chosen discipline. The AAI of a journal is defined as the percentage of the journal’s articles published by authors affiliated with a base set of high-quality academic universities or institutions. We conducted an evaluation of the top 50 journals in environmental studies indexed in the category Social Science in the Web of Science (WOS) database in 2018 and the top-notch 50 universities worldwide with master or postgraduate programs in the disciplines of management and sustainability studies. The results obtained demonstrate that there is a low AAI score on average in the sustainability field compared with other disciplines and the potential reason for such low scoring is probably caused by the high number of co-authors collaborating in environmental studies related journals. Although there is no agreement reached in terms of journal ratings by AAIs and other citation and survey-based measures, we can confirm certain elite affiliations effect which leading sustainability journals have higher concentrations of authors who are affiliated with elite institutions, however, such elite affiliation effect is on average much lower compared with other disciplines as finance, accounting or transportation, etc.

scholarly journals concept of ethnicity and its operationalisation in cross-national social surveys

2010 ◽  
Vol 7 (2) ◽  
Author(s):  
Jürgen Hoffmeyer-Zlotnik ◽  
Uwe Warner
Keyword(s):  
Social Science ◽  
Survey Research ◽  
Background Variable ◽  
Social Surveys ◽  
National Statistics ◽  
Comparative Survey ◽  
Major Social Science ◽  
Core Variable ◽  
Cross National ◽  
The Way

This article describes the development of an instrument for the measurement of ethnicity in cross-national comparative survey research. First, we identify the data that must to be collected on ethnicity as a core variable . We then examine the way in which the national statistics offices of the European states and the major social science surveys handle this theme. And finally we present our own instrument for the measurement of ethnicity as a background variable.

scholarly journals Data Journalism: From Social Science Techniques to Data Science Skills

Hipertext.net ◽  
2020 ◽  
pp. 41-54
Author(s):  
Adolfo Antón Bravo ◽  
Ana Serrano Tellería
Keyword(s):  
Social Science ◽  
Data Visualization ◽  
Data Science ◽  
Open Data ◽  
Structured Data ◽  
Scientific Methods ◽  
Data Literacy ◽  
Data Journalism ◽  
Source Of Information

In very few years in journalism, we have gone from looking at social science techniques, what was called precision journalism, to dealing with open data as a huge source of information that lead us to data journalism what connects with data science in the sense of using -again- scientific methods to extract knowledge and insights from structured data. This article offers an overview of that evolution and focuses on some prototypes that have emerged in this new journalistic ecosystem of data journalism, data visualization and data literacy.

Sign in / Sign up

Export Citation Format

Share Document