Medicine is a social science, and politics is nothing else but medicine on a large scale

2017 ◽  
pp. 141-152
Keyword(s):  
Social Science ◽  
Large Scale ◽  
Science And Politics

scholarly journals The Opportunities and Limitations of Using Artificial Neural Networks in Social Science Research

Politologija ◽  
2019 ◽  
Vol 94 (2) ◽  
pp. 56-80
Author(s):  
Lukas Pukelis ◽  
Vilius Stančiauskas
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Social Science ◽  
Large Scale ◽  
Social Science Research ◽  
Complex Data ◽  
Social Science Community ◽  
The Social ◽  
Science Community ◽  
Artificial Neural

Artificial Neural Networks (ANNs) are being increasingly used in various disciplines outside computer science, such as bibliometrics, linguistics, and medicine. However, their uptake in the social science community has been relatively slow, because these highly non-linear models are difficult to interpret and cannot be used for hypothesis testing. Despite the existing limitations, this paper argues that the social science community can benefit from using ANNs in a number of ways, especially by outsourcing laborious data coding and pre-processing tasks to machines in the early stages of analysis. Using ANNs would enable small teams of researchers to process larger quantities of data and undertake more ambitious projects. In fact, the complexity of the pre-processing tasks that ANNs are able to perform mean that researchers could obtain rich and complex data typically associated with qualitative research at a large scale, allowing to combine the best from both qualitative and quantitative approaches.

scholarly journals Pengaruh Ekuitas Merek Dan Kualitas Produk Terhadap Keputusan Pembelian Kosmetik Wardah (Survei Pada Mahasiswi Administrasi Bisnis Angkatan 2016-2018 Universitas Mulawarman, Samarinda)

2021 ◽  
Vol 9 (2) ◽  
pp. 114
Author(s):  
IIS NURLAILA
Keyword(s):  
Linear Regression ◽  
Social Science ◽  
Multiple Linear Regression ◽  
Product Quality ◽  
Brand Equity ◽  
Linear Regression Analysis ◽  
Test Validity ◽  
Business Administration ◽  
Purchasing Decision ◽  
Science And Politics

This study aims: (i) to find out the Brand Equity and Product Quality variables simultaneously have a significant effect on purchasing decision (ii) To find out the Brand equity and product quality variables partially have a significant effect on purchasing decision (iii) To find out between the brand equity product quality variable that most influence on costumer purchasing decision at business administration class 2016-2018, social science and politics faculty of Mulawarman University, Samarinda. This study uses tree variables namely the brand equity, product quality and purchasing decision. This type of research is a correlation method with a quantitative approach. The populations in this research were all business administration class 2016-2018 social Science and politics faculty of Mulawarman University, Samarinda with 81 respondents as research samples and the sampling technique used non-probability sampling with saturation sampling method. Data collection techniques: field research (questionnaires, documentation) and library research. Then the analysis technique used is multiple linear regression using the test: validity test, reability test, classic assumption test (normality test, multicollinearity, heteroscedasticity), hypothesis test (partial, simultaneous, dominant), multiple linear regression analysis. The result obtained in this study are (i) brand equity and product quality simultaneously had a significant effect on purchasing decision, (ii) Brand equity and Product quality partially had a significant effect on purchasing decision (iii) Product quality is a variable that has the most influence on consumer purchasing decision at business administration class 2016-2018, social Science and politics faculty of Mulawarman University, Samarinda

scholarly journals Spatially Integrated Social Sciences with Qualitative GIS to Support Impact Assessment in Mining Communities

Resources ◽  
2019 ◽  
Vol 8 (1) ◽  
pp. 47 ◽  
Author(s):  
Alex Lechner ◽  
John Owen ◽  
Michelle Ang ◽  
Deanna Kemp
Keyword(s):  
Social Science ◽  
Large Scale ◽  
Social Science Research ◽  
Science Research ◽  
Dynamic Interactions ◽  
Mining Communities ◽  
Qualitative Gis ◽  
Future Assessment ◽  
Broad Term ◽  
Qualitative Knowledge

Spatially integrated social science is a broad term used to describe the integration of space and place in social science research using Geographic Information Systems (GIS). It includes qualitative GIS approaches, such as geo-ethnology and geo-narratives, which combine qualitative social data with GIS and represent an emerging approach with significant potential for facilitating new insights into the dynamic interactions between mining companies and host communities. Mine operations are unique in their complexity, both in terms of the dynamic and diverse nature of issues and the requirement to integrate knowledge, theories, and approaches from a range of disciplines. In this paper we describe the potential for spatially integrated social science using qualitative GIS to understand the social impacts of mining. We review current literature and propose a framework that incorporates quantitative and qualitative knowledge across social and biophysical domains within a multi-user approach. We provide examples to illustrate how our approach could support past, present, and future assessment of socio-environmental systems in large-scale mining. We conclude by discussing the need for a multi-disciplinary approach to support decision makers and local stakeholders in considering complex social and environmental scenarios.

Historical Sociology

2011 ◽  
Author(s):  
Yvonne Åberg
Keyword(s):  
Network Analysis ◽  
Social Science ◽  
Large Scale ◽  
Historical Analysis ◽  
Historical Sociology ◽  
Historical Institutionalism ◽  
Meso Level ◽  
Comparative Historical Analysis ◽  
Analytical Sociology ◽  
Historical Social Science

This article examines the different methods employed in historical sociology through which historical macro social outcomes are investigated — comparative, institutional, relational, and cultural — as well as the enduring tension revealed by the meso-level structures that often shape outcomes. It begins with a discussion of two major categories of historical sociology: comparative historical analysis, characterized by historical sociologists and political scientists who seek an explanation for large-scale processes, and the focus on institutionalism and networks in historical studies. It then presents examples of work in historical social science that have come closest to the requirements of analytical sociology. It also considers ways of bringing historical institutionalism and network analysis together and argues that an emphasis on analytic historical sociology can help specify the causality behind processes that have not been clearly interpreted or have been misinterpreted in historical, sociological, and culturally oriented studies.

scholarly journals From ‘nothing works’ to ‘post-truth’: The rise and fall of evidence in British probation

2018 ◽  
Vol 10 (1) ◽  
pp. 59-75 ◽  
Author(s):  
Peter Raynor
Keyword(s):  
Social Science ◽  
Large Scale ◽  
Organisational Culture ◽  
The Political ◽  
Science Methods ◽  
England And Wales ◽  
Social Science Methods ◽  
Former Offenders ◽  
Risk Need Responsivity ◽  
Evaluative Research

Since its origins over half a century ago, evaluative research on probation services has swung between optimism and pessimism. This article, based largely on England and Wales, describes and reviews the long journey from over-optimism, via ‘nothing works’ in the 1970s, to programmes based on Risk-Need-Responsivity principles, introduced on a large scale from the late 1990s but limited in their impact owing largely to problems in implementation. After this, evaluation researchers developed greater interest in implementation, in organisational culture and, in particular, in practitioners’ skills. In the process, researchers have developed a better understanding of the necessary social science methods for evaluation and have begun to learn from new sources such as desisting former offenders. In the meantime, in spite of encouraging research, the political context in some countries has become hostile, and research has to survive in a new context of ‘post-truth’ and politically motivated denigration of expertise.

scholarly journals Students' views of, and motivations for, studying A-level Further Mathematics

2016 ◽  
Vol 15 (1) ◽  
pp. 4 ◽  
Author(s):  
Ellie Darlington ◽  
Jessica Bowyer
Keyword(s):  
Social Science ◽  
Large Scale ◽  
Science Technology ◽  
Large Scale Study ◽  
The Subject ◽  
And Mathematics

In response to recently-announced reforms to A-level Mathematics and Further Mathematics, a large-scale study was undertaken regarding current undergraduates’ views of those qualifications. Students of Science, Technology, Engineering, Medicine and Mathematics (STEMM) and Social Science degrees who had Further Mathematics were surveyed regarding their experiences of the subject and motivations for studying it. Results were positive, across students of a range of degree disciplines, highlighting the benefits of its study as preparation for mathematically-demanding degrees. Whilst access to studying Further Mathematics is poor in some schools, we suggest that more is done by universities to promote its study as a means of better-preparing students for their future degree courses.

scholarly journals MAPPING POLITICAL THEORY USING BIBLIOMETRIC ANALYSIS

2021 ◽  
Vol 6 (2) ◽  
pp. 163
Author(s):  
Muhammad Syaifuddin ◽  
Suswanta Suswanta ◽  
Misran Misran ◽  
Syamsul Bahri Abd. Rasyid
Keyword(s):  
Social Sciences ◽  
Social Science ◽  
Political Theory ◽  
Political Science ◽  
Bibliometric Analysis ◽  
Subsequent Research ◽  
Science Theory ◽  
Science And Politics ◽  
Scopus Database

Politics is a discipline of science that is part of social science. What distinguishes political science from other social sciences is the object studied. The development of research on the theory of political science and politics becomes a question in this paper. Topic mapping and topic classification based on keywords, countries, and themes discussed were the main focus of this research, including visual density based on keywords, showing the level of saturation political science theory. In this study, the data used were data that had been downloaded from the Scopus database with several limitations to limit and be more specific to the results of the discussion. After the documents to be reviewed and analyzed are bibliographical using the VOSViewer and NVivo 12 Plus software, the data is exported .CSV and .RIS formats. This study aims to provide insights into subsequent research on the theory of political science

scholarly journals The Sustainability of Social Science Survey Infrastructures

2019 ◽  
Author(s):  
Tom Emery
Keyword(s):  
Social Science ◽  
Case Studies ◽  
Large Scale ◽  
European Social Survey ◽  
European Research ◽  
Social Survey ◽  
Social Surveys ◽  
Research Infrastructures ◽  
Survey Methodologies

Social science surveys are undergoing rapidchange due to fundamental shifts in the way data is generated, collected and processed. In order to address this challenge, several large scale social surveys have been integrated into the European Strategic Forum for Research Infrastructures (ESFRI). This has allowed them to develop specialized and professionalized survey work flows within an integrated infrastructural context. This allows for greater sustainability through investment in survey methodologies and data collection which advance the field of social science. This paper examines three case studies within the ESFRI framework; The Survey of Health & Retirement (SHARE) and the European Social Survey (ESS) are European Research Infrastructure Consortia and are both landmarks within the ESFRI landscape. The third case study is of the Generations & Gender Programme which is an Emerging Community in the ESFRI landscape. The three case studies are used to illustrate the developments but also the persistent challenges for social surveys as they evolve with the framework of European Research Infrastructures. Each survey infrastructure is presented and it’s scientific, financial and governance sustainability. Conclusions are drawn as to the sustainability of survey infrastructures and how they could be further improved.

scholarly journals Laypeople Can Predict Which Social Science Studies Replicate

2019 ◽  
Author(s):  
Suzanne Hoogeveen ◽  
Alexandra Sarafoglou ◽  
Eric-Jan Wagenmakers
Keyword(s):  
Social Science ◽  
Signal Detection Theory ◽  
Large Scale ◽  
Science Studies ◽  
Science Literature ◽  
Detection Ability ◽  
Strength Of Evidence ◽  
High Profile ◽  
The Social ◽  
Social Science Literature

Large-scale collaborative projects recently demonstrated that several key findings from the social-science literature could not be replicated successfully. Here we assess the extent to which a finding’s replication success relates to its intuitive plausibility. Each of 27 high-profile social science findings was evaluated by 233 people without a PhD in psychology. Results showed that these laypeople predicted replication success with above-chance accuracy (i.e., 59%). In addition, when participants were informed about the strength of evidence from the original studies, this boosted their prediction performance to 67%. We discuss the prediction patterns and apply signal detection theory to disentangle detection ability from response bias. Our study suggests that laypeople’s predictions contain useful information for assessing the probability that a given finding will replicate successfully.

Sign in / Sign up

Export Citation Format

Share Document