Bibliographies thématiques / Social sciences -> social sciences -> methodology

Littérature scientifique sur le sujet « Social sciences -> social sciences -> methodology »

Auteur : Grafiati

Publié le 25 juillet 2024

Mis à jour le 26 juillet 2024

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Articles de revues sur le sujet "Social sciences -> social sciences -> methodology"

Badejo, Omobola Olufunto. « A Non-Naturalised Methodology for Social Sciences ». UJAH : Unizik Journal of Arts and Humanities 20, n^o 2 (17 mars 2020) : 168–94. http://dx.doi.org/10.4314/ujah.v20i2.9.

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At the rise of the twentieth century, armed with the success of natural sciences, the school of naturalism argued that the appropriate methodology for all disciplines, including social sciences, is that of natural science. The paper argued that social sciences cannot be naturalised and has its own appropriate methodology. The paper examined the arguments for naturalism and non-naturalism of the method of philosophy of social sciences. The paper employed both primary and secondary sources of data. Data collected were subjected to critical analysis and philosophical argumentation. The results showed that the nature of social sciences is such that it cannot be subjected to only scientific methods. The paper concludes that there is a need for a methodology that understands the subject matter of social sciences to address issues in social sciences. The paper addressed some key issues in philosophy of social sciences. Keywords: Methodology, Natural sciences, Naturalism, Social sciences.

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Negou, Ernest, Marcellus Nkenganyi Fonkem, Jude Suh Abenwi et Ibrahima. « Qualitative Research Methodology in Social Sciences ». International Journal of Scientific Research and Management (IJSRM) 11, n^o 09 (1 septembre 2023) : 1431–45. http://dx.doi.org/10.18535/ijsrm/v11i09.sh01.

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The objective of this study is to provide a guide to qualitative research methodology in social sciences. It is the result of the observation that research in Management Sciences in most Universities in Cameroon is still dominated by the quantitative approach supported by economists who handle most research methodology courses. In an environment of oral tradition and the difficulties to have access to data, emphasising purely quantitative research may leave aside many aspects of the environment and several areas of human behaviour that make its specificities. Therefore, there is a need to generalise the use of qualitative research to enable researchers to always have a good insight into phenomena not yet clarified before thinking of any generalisation which is the main objective of quantitative research: this gives room to the contextualisation of research which results can easily be applied in its context, thus, enhancing development.

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Teune, Henry, David Sylvan et Barry Glassner. « A Rationalist Methodology for the Social Sciences ». American Political Science Review 80, n^o 4 (décembre 1986) : 1336. http://dx.doi.org/10.2307/1960883.

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Lafountain, Marc J., David Sylvan et Barry Glassner. « A Rationalist Methodology for the Social Sciences. » Social Forces 65, n^o 4 (juin 1987) : 1175. http://dx.doi.org/10.2307/2579044.

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Roth, Paul A. « A Rationalist Methodology for the Social Sciences ». Philosophy of the Social Sciences 19, n^o 1 (mars 1989) : 104–8. http://dx.doi.org/10.1177/004839318901900110.

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Hox, Joop J. « Computational Social Science Methodology, Anyone ? » Methodology 13, Supplement 1 (1 juin 2017) : 3–12. http://dx.doi.org/10.1027/1614-2241/a000127.

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Abstract. This article reviews computational social science methods and their relation to conventional methodology and statistics. Computational social science has three important features. Firstly, it often involves big data; data sets so large that conventional database and analysis techniques cannot handle them with ease. Secondly, dealing with these big data sets has given rise to analysis techniques that are specially developed for big data. Given the size of the data, resampling and cross-validation approaches become feasible that allow both data-driven exploration and checks on overfitting the data. A third important feature is simulation, especially agent-based simulation. Here size also matters. Agent-based simulation is well known in social science, but modern computer equipment and software allows simulations of unprecedented scale. Many of these techniques, especially the resampling and cross-validation approaches, are potentially very useful for social scientists. Given the relatively small size of social science “big data” is useful to explore how well these techniques perform with smaller data sets. Social science methodology can contribute to this field by exploring if well-known methodological distinctions between external validity, internal validity, and construct validity can help clear up discussions on data quality (veracity) in computational social science.

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Kovalchuk, M. V. « THE METHODOLOGY OF POLITICAL SCIENCE THROUGH THE PRISM OF KARL POPPER'S METHODOLOGY OF SOCIAL SCIENCES ». Scientific Journal "Regional Studies", n^o 20 (2020) : 162–66. http://dx.doi.org/10.32782/2663-6170/2020.20.26.

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Narqulovna, Djurayeva Nargis. « IMPROVING THE METHODOLOGY OF TEACHING NATURAL SCIENCES IN PRIMARY CLASSES - A SOCIAL AND EDITORIAL NEED ». International Journal of Pedagogics 4, n^o 4 (1 avril 2024) : 48–50. http://dx.doi.org/10.37547/ijp/volume04issue04-08.

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It is shown in this article that the methodology of teaching natural sciences serves as an educational science that improves the content and methods of comprehensive education of children in the teaching of natural sciences. It seems that in the conditions of today's globalization, effective use of virtual educational platforms in the process of teaching natural sciences in elementary grades, improvement of the methodology of teaching natural sciences based on programmed lessons and virtual educational technologies is of great importance.

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Chlipala, P. « Methodology of marketing vs methodology of social and economic research ». Economics, Entrepreneurship, Management 7, n^o 2 (novembre 2020) : 112–18. http://dx.doi.org/10.23939/eem2020.02.112.

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The presented paper is methodical in character. Marketing methodology is an important matter looking from the prism of identifying its scientific status. There are differing views on the scientific status of marketing, nevertheless marketing, from the perspective of scientific cognition, has developed dynamically throughout its entire history. The main objective of this article is to present the methodological dilemmas of marketing in the context of social and economic sciences.The foundations of the methodology of research on marketing cannot be separated from the methodology of social sciences. Marketing belongs to social sciences, so it is based on similar assumptions with regard to the character of reality and scientific cognition. Marketing is engaged in exploring human behaviour and, similarly to other social sciences, makes use of such research methods and techniques. It is difficult to conduct research in the area of marketing without referring to the methodology of social sciences.The article presents the foundations of marketing research methodology, assumptions of the analysis of methodology of research on marketing in comparison to methodology of social and economic research and final remarks.

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Syed Husain, Hafiz. « Philosophical Reflections on Research Methodology for Social Sciences ». Beytulhikme An International Journal of Philosophy 9, n^o 9:3 (1 janvier 2019) : 585–96. http://dx.doi.org/10.18491/beytulhikme.1489.

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Thèses sur le sujet "Social sciences -> social sciences -> methodology"

Mallick, Arindam. « The Methodology of social sciences : a phenomenological approach ». Thesis, University of North Bengal, 1994. http://hdl.handle.net/123456789/52.

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Barnes, Peter. « Interpretation in the arts and the social sciences ». Thesis, University of Oxford, 2005. http://ora.ox.ac.uk/objects/uuid:8efbc121-6d88-4b24-a43a-c4cff9e974ba.

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This thesis makes a contribution to the debate about the status of the social sciences. Many philosophers have argued that the social sciences are unlike the natural sciences because they involve a kind of interpretative inquiry which has no parallel in the natural sciences. Stronger versions of this argument suggest that the social sciences are dominated or exhausted by interpretation. In many cases, this stronger claim is supported by an appeal to an analogy between interpretation in the social sciences and interpretation in the arts. The claim of this thesis is that the analogy between interpretation in the arts and the social sciences is not as strong as it is often thought to be. Works of art can be subjected to several distinct kinds of interpretation. Not all of these different kinds have analogues in the social sciences. In particular, conceptions of interpretation which allow for multiple incompatible interpretations of a single artwork have no corollary in the social sciences. By questioning the analogy between interpretation in the two fields, I seek to develop a limited version of naturalism in the philosophy of social science. That is, I argue that there are similarities and points of contact between the social sciences and the natural sciences. This position is strengthened by a further argument: that those who have opposed naturalism have tended to rely on an outdated and overly-rigid view of the what the natural sciences are like. The naturalism I defend is limited because it accepts that there are differences between the natural and social sciences, including the fact that there is a role (but not a dominating role) for interpretation in the social sciences.

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Grönvik, Lars. « Definitions of Disability in Social Sciences : Methodological Perspectives ». Doctoral thesis, Uppsala University, Department of Sociology, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-7803.

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This dissertation examines how disability researchers define disability. It is based on four studies. The first describes different definitions of disability in disability research. The second study is a conceptual analysis of the use of disability in a sample of disability research classics. In this study, it is evident that use of the concept is all but clear. It is concluded that especially environmentally based disability definitions would benefit from further empirical investigations. The notion that environmental factors (such as barriers) are a causal aspect of disability is rather widely accepted among disability researchers. However, it has not been empirically studied to such an extent that it is possible to construct workable theories of this relationship.

The third study focuses on administrative definitions of disability and investigates the possibility of using data on disabled people that have been gathered by Swedish welfare authorities. It is concluded that rich data are available, but also that researchers must scrutinize how disability has been defined in these contexts. These authorities often start from medical understandings of disability, which may clash with contemporary understandings of disability as being environmentally based.

The fourth study is a statistical analysis of the effects of different disability definitions on dependent variables. The analyses emphasize variables often included in studies of living conditions. There are major effects of choice of disability definition on the outcome in relation to such variables.

The dissertation strongly rejects efforts to standardize disability definitions; different analytical purposes require different kinds of conceptualizations. Instead, the dissertation suggests that case-constructing reflexivity be conducted. Case-constructing reflexivity means that the researcher starts with a careful analysis of how disability is best defined in relation to the aims of the study, and continues by being constantly aware of how the choice of definition may affect sampling, analyses and results.

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Wagner, Claire. « Placing psychology a critical exploration of research methodology curricula in the social sciences / ». Thesis, Pretoria : [s.n.], 2003. http://upetd.up.ac.za/thesis/available/etd-06292004-123737.

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Wignell, Peter. « Making the abstract technical : on the evolution of the discourse of social science / Peter Wignell ». Thesis, The University of Sydney, 1997. https://hdl.handle.net/2123/27527.

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This thesis examines the evolution of the discourse of social science. It does this by using the theoretical and analytical tools of systemic: functional linguistics combined with a model of discourse developed by the author based on the work of Foucault, Lemke, Gee, Bourdieu, Halliday and Martin. The discourse of social science is first analysed synchronically, using current undergraduate textbooks from sociology, economics and political science as data. The characterisation of the discourse is based in the work of Wignell, Martin and Eggins and Eggins, Wignell and Martin on the discourses of science and the humanities. The origins and evolution of social science are then analysed, beginning with the work of Thomas Hobbes in the mid seventeenth century and extending up until Max Weber in the early twentieth century. It is argued that social science is a discourse distinct from both science and the humanities but that its Characteristic features have resulted from a synthesis of features of the discourses of science and the humanities. It is argued that, like science, social science is a technical discourse but that its technicality results from the reconstrual of an already abstract 'world' into a technical one. This reconstrual, it is argued, resulted from the discourse of the physical sciences being imported into discussions of the social in the mid seventeenth century. It is further that, over time, technicality became increasingly a feature of the discourse, both ideationally and textually. Having analysed the discourse the thesis also considers the social factors which have contributed to its evolution in a particular direction.

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Poorthuis, Ate. « Social Space and Social Media : Analyzing Urban Space with Big Data ». UKnowledge, 2015. http://uknowledge.uky.edu/geography_etds/41.

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This dissertation focuses on the key role that big data can play in minimizing the perceived disconnect between social theory and quantitative methods in the discipline of geography. It takes as its starting point the geographic concept of space, which is conceptualized very differently in social theory versus quantitative methodology. Contrary to this disparity, an examination of the disciplinary history reveals a number of historic precedents and potential pathways for a rapprochement, especially when combined with some of the new possibilities of big data. This dissertation also proposes solutions to two common barriers to the adoption of big data in the social sciences: accessing and collecting such data and, subsequently, meaningful analysis. These methods and the theoretical foundation are combined in three case studies that show the successful integration of a quantitative research methodology with social theories on space. The case studies demonstrate how such an approach can create new and alternative understandings of urban space. In doing so it answers three specific research questions: (1) How can big data facilitate the integration of social theory on space with quantitative research methodology? (2) What are the practical challenges and solutions to moving “beyond the geotag” when utilizing big data in geographical research? (3) How can the quantitative analysis of big data provide new and useful insight in the complex character of social space? More specifically, what insights does such an analysis of relational social space provide about urban mobility and cognitive neighborhoods?

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Jennings, Peter Leonard. « Critical realism : an alternative perspective on evaluation methodology ». Thesis, University of Warwick, 2015. http://wrap.warwick.ac.uk/68704/.

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The aim of this research was to explore the contribution of critical realist metatheory to evaluation. The principal contention is that adopting a critical relist perspective overcomes the propensity of conventional approaches to evaluation, both quantitative and qualitative, to focus on pre-determined performance measurement criteria. This research is based on comparative analysis of the methodologies and outcomes derived from conventional and critical realist evaluation. Evaluation grounded in critical realist metatheory embraces methodological pluralism, which underpins critical realism, and emphasises more thoughtful forms of data interpretation in empirical research. Making use of an exemplar, publicly funded, scheme providing grants to enterprises engaged in commercialising innovation, the research examines the role of common forms of data gathering and analysis, contrasted with particular forms of data interpretation based on abduction and retroduction. Intrinsic and extrinsic research methodologies are presented, not as polar opposites, but as complementary stances in gaining a rounded understanding of the scheme. Conventional approaches to evaluation are shown to act as limited forms of performance measurement, emphasising anticipated outcomes and predetermined criteria but offering little explanation and understanding. Critical realist evaluation is shown to broaden the scope of outcomes identified and deepen explanation and understanding, whilst simultaneously acknowledging the implications of fallibilism in developing multiple, plausible explanations. Explanation is enhanced through recognition of the inherent uncertainty of the social world, despite the dominance of notions of universal regularities. Recommendations for undertaking evaluation are given. The research helps fill an identifiable gap in current literature and debate on mechanisms and casual inference in social science. It provides a practical example of evaluation in the context of support interventions for innovation. No equivalent example is known to have been published previously.

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So, Moon-tong, et 蘇滿堂. « Applications of Bayesian statistical model selection in social scienceresearch ». Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B39312951.

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Lefebvre, Nicolas. « Creation of a Risk Assessment Methodology ». Thesis, KTH, Industriell ekologi, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-32801.

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This report is a presentation of the work realised during an internship at the consultancy division of Thales Security Systems from September 2005 to June 2006. Thales Security Systems is part of Thales, an international group in defence, aeronautics, etc. The work realised consisted in the creation of a new risk assessment methodology for a commercial offer called HELP, standing for Human, Environmental, Logical and Physical security. As a basis for the work, 5 existing risk assessment methodologies were studied, summed up and analysed: - Integrated security risk assessment: a methodology created by Thales Security Systems but not used because of its complexity - Ebios: a whole risk assessment methodology created by the French government - Marion: more or less an audit questionnaire - Audit questionnaire ISO 17799: an audit questionnaire created by Thales Security Systems - A confidential methodology: a methodology of another company with interesting concepts So as to complete this first work, many interviews were realised with specialists in risk assessment and strategy: - Counter-admiral Girard who insisted on the preliminary task of the definition of the mission and its limits, the return of experience as well as on the security frame of mind - Guy Dubois for the maintenance of the security level year after year - Thomas Lebouc for the tools used to apply the methodology - Gérard Pesch regarding the commercial offer - Yves le Dauphin for the human issues Afterwards, the different advantages and drawbacks of the studied methodologies have been studied so as to determine the essential characteristics that were necessary to have in the new methodology The new methodology has thus been created taking into account all these advantages, drawbacks and pieces of advice. The new methodology is a five step methodology: - Definition of the mission and its limits: determination of the objectives of the mission and its perimeter - General analysis of the system: study of the system in its environment - Risk analysis: determination of the threats, assets and Vulnerabilities - Protection standards: determination of the protection measures to implement - Budget, action plans and implementation So as to apply the methodology, several tools have been created. They are necessary for the good running of the methodology as they help to show results in a clear way. These tools are for example, a risk analysis board, a vulnerability audit questionnaire, diagrams, or protection standard sheets.
www.ima.kth.se

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Lampard, Richard James. « An empirical study of marriage and social stratification ». Thesis, University of Oxford, 1992. http://ora.ox.ac.uk/objects/uuid:fb961361-18b3-4801-bd83-8d2bc5b234d5.

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The dual objectives of this thesis are to assess the merits of certain statistical methods as applied to sociological data and to use statistical methods to produce interesting and worthwhile substantive results. The main statistical focus of the thesis is the analysis of two-way tables, for which purpose association models and correspondence analysis are used. Some of the tables analysed require the application of quasi-association models and association models with more than one dimension. Elsewhere in the thesis a proportional hazards model and various log-linear models are fitted. The substantive focus of the thesis is the relationship between marital formation/dissolution and social stratification in modern Britain. Particular attention is paid to assortative marriage for social status, with the relationships between spouses' occupations, educational levels and social origins being considered in detail. Assortative marriage for religion and for party political identification/voting intention are also examined. The data analysed come from a variety of social surveys, including both government surveys (e.g. various General Household Surveys, and the Family Formation Survey) and academic surveys (e.g. the Oxford Mobility Survey and the Social Change and Economic Life Initiative survey). The thesis conclusively demonstrates the utility of association models, log-linear models and proportional hazards models as applied to data relating to marital formation/dissolution. Among the numerous substantive findings are that there was a significant post-war decline in the strength of the relationship between spouses' social origins, and that unemployment appears to cause an increase in the risk of marital dissolution.

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Livres sur le sujet "Social sciences -> social sciences -> methodology"

Max, Weber. Methodology of social sciences. New Brunswick, NJ : Transaction Publishers, 2011.

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Thamilarasan, M. RESEARCH METHODOLOGY for Social Sciences. New Delhi, India : New Century Publications, 2015.

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Huer, Jon. The fallacies of social science : A critique of the natural science model of social analysis. New York : P. Lang, 1990.

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Sarantakos, S. Social research. 4^e éd. New York, NY : Palgrave Macmillan, 2013.

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Sarantakos, S. Social research. South Melbourne : Macmillan Education Australia, 1993.

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Mrvar, Andrej, et Anuška Ferligoj. Developments in social science methodology. Ljubljana : FDV, 2002.

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Ugelvik, Larsen Stein, dir. Theory and methods in the social sciences : Textbook for first year social sciences. Boulder : Social Science Monographs, 2002.

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Sabitri, Singh, et Nepal Centre for Contemporary Studies., dir. Methodology in social science research. Kathmandu : Nepal Centre for Contemporary Studies, 2001.

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1944-, Doherty Joe, Graham Elspeth 1950- et Malek Mohammed H. 1943-, dir. Postmodernism and the social sciences. New York : St. Martin's Press, 1992.

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1944-, Doherty Joe, Graham Elspeth 1950- et Malek Mohammed H. 1943-, dir. Postmodernism and the social sciences. Houndmills, Basingstoke, Hampshire : Macmillan, 1992.

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Chapitres de livres sur le sujet "Social sciences -> social sciences -> methodology"

Gilbert, Jenny, et Simon Pratt-Adams. « Critical Realism in the Social Sciences ». Dans Soft Systems Methodology in Education, 55–79. Cham : Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99225-5_3.

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Ledington, Paul. « Methodology ». Dans Operational Research and the Social Sciences, 167–69. Boston, MA : Springer US, 1989. http://dx.doi.org/10.1007/978-1-4613-0789-1_22.

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Gilbert, Margaret. « Philosophy and the Social Sciences ». Dans In the Scope of Logic, Methodology and Philosophy of Science, 445–55. Dordrecht : Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-017-0475-5_5.

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Bhole, L. M. « Ethics in Research with Special Reference to Social Sciences ». Dans Essays on Research Methodology, 213–25. New Delhi : Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2214-9_10.

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Choudhury, Masudul Alam. « The Framework of Islamic Methodology in the Social Sciences ». Dans Studies in Islamic Social Sciences, 21–46. London : Palgrave Macmillan UK, 1998. http://dx.doi.org/10.1007/978-1-349-26179-6_2.

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Choudhury, Masudul Alam. « Comparative Islamic View in the Methodology of the Social Sciences ». Dans Studies in Islamic Social Sciences, 1–20. London : Palgrave Macmillan UK, 1998. http://dx.doi.org/10.1007/978-1-349-26179-6_1.

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Neuber, Matthias. « Nagel on the Methodology of the Social Sciences ». Dans Logic, Epistemology, and the Unity of Science, 215–32. Cham : Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-81010-8_11.

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Lehaney, Brian. « A Scientific Approach to Methodology ». Dans Operational Research and the Social Sciences, 177–82. Boston, MA : Springer US, 1989. http://dx.doi.org/10.1007/978-1-4613-0789-1_24.

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Ncube, Vuyolwethu, et Sarah Day. « Feminist Methodology ». Dans Handbook of Social Sciences and Global Public Health, 1–15. Cham : Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-030-96778-9_42-1.

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Ncube, Vuyolwethu, et Sarah Day. « Feminist Methodology ». Dans Handbook of Social Sciences and Global Public Health, 653–67. Cham : Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-25110-8_42.

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Actes de conférences sur le sujet "Social sciences -> social sciences -> methodology"

Chrastina, Jan. « META-SYNTHESIS OF QUALITATIVE STUDIES : BACKGROUND,METHODOLOGY AND APPLICATIONS ». Dans NORDSCI Conference on Social Sciences. SAIMA CONSULT LTD, 2018. http://dx.doi.org/10.32008/nordsci2018/b1/v1/13.

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Maykova, Valentina, et Andrey Maykov. « Dynamics of Social Consciousness in the Methodology of Simulating Social Systems as a Way of Predicting Social Development Trends ». Dans Proceedings of the International Conference on Contemporary Education, Social Sciences and Ecological Studies (CESSES 2018). Paris, France : Atlantis Press, 2018. http://dx.doi.org/10.2991/cesses-18.2018.222.

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Danilova, Olga. « SOCIALLY RESPONSIBLE INVESTMENTS : METHODOLOGY, RISK, EFFICIENCY ». Dans 4th International Multidisciplinary Scientific Conference on Social Sciences and Arts SGEM2017. Stef92 Technology, 2017. http://dx.doi.org/10.5593/sgemsocial2017/15/s05.109.

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Aravena-Gaete, Margarita, Diana Flores Noya, David Ruete et Danilo Leal. « Evaluative methodology to develop higher skills ». Dans 7th International e-Conference on Studies in Humanities and Social Sciences. Center for Open Access in Science, Belgrade, 2021. http://dx.doi.org/10.32591/coas.e-conf.07.03015a.

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The objective of this research is to provide an evaluative methodology to develop higher cognitive skills. From the methodological perspective, a qualitative was required, based on primary and secondary sources of research to increase thinking. The results showed that a series of premises must be implemented for the development of lower and higher thinking, among them, purpose, explicit teaching, intentionality of the evaluation, evaluation criteria, simple and complex strategies, monitoring, formative evaluation, process feedback and homework, metacognition, among others. As part of the discussion, it seems that teachers need to apply training strategies and implement permanent monitoring in students to promote learning. On the other hand, they must recognize the lower skills that are not internalized in the learners, because these are the starting base to achieve the higher taxonomies. It is concluded that formative evaluation and feedback are effective actions to generate higher taxonomies.

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Platonova, Natalia. « METHODOLOGY FOR SERVICE AUDIT OF TOURIST DESTINATIONS ». Dans 2nd International Multidisciplinary Scientific Conference on Social Sciences and Arts SGEM2015. Stef92 Technology, 2015. http://dx.doi.org/10.5593/sgemsocial2015/b22/s7.103.

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Mayakova, Anna. « METHODOLOGY "RISK ANALYSIS" : THEORETICAL AND APPLIED ASPECT ». Dans 4th International Multidisciplinary Scientific Conference on Social Sciences and Arts SGEM2017. STEF92 Technology, 2017. http://dx.doi.org/10.5593/sgemsocial2017/22/s09.066.

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Herman, Andrew, Jens-Peter Andersen et Mathias Wullum Nielsen. « Editorial gatekeeping up and down the journal hierarchy ». Dans 27th International Conference on Science, Technology and Innovation Indicators (STI 2023). International Conference on Science, Technology and Innovation Indicators, 2023. http://dx.doi.org/10.55835/6442961f332c40cec2d6127e.

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How do journal editors affect what papers and which authors get published? The research presented in the proposed presentation builds on a novel dataset that provides coverage of all journal editors across the full ecosystem of social science journals. This enables the authors to investigate the variation in how editors affect the publication process across the journal hierarchy, and across types of journals. In addition to the unique data, the authors take advantages in the computational social sciences to develop a state-of-the-art methodology for evaluating the role of editors in shaping publications and the evolution of science.

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Gao, Ji, Hexin Lv, Zhiyong Jin et Ping Xu. « SMGSC : Social-Level Macro-Governing Methodology for Cross-Management-Domain Service Collaboration Processes ». Dans 2016 49th Hawaii International Conference on System Sciences (HICSS). IEEE, 2016. http://dx.doi.org/10.1109/hicss.2016.44.

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Petriy, Petr, et Valentina Maykova. « Revisiting Methodology of Analysis of War as a Social Phenomenon ». Dans Proceedings of the 2nd International Conference on Contemporary Education, Social Sciences and Ecological Studies (CESSES 2019). Paris, France : Atlantis Press, 2019. http://dx.doi.org/10.2991/cesses-19.2019.263.

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Lagutin, Igor. « SYSTEM AND METHODOLOGY OF THE REGIONAL FINANCIAL LAW ». Dans 4th International Multidisciplinary Scientific Conference on Social Sciences and Arts SGEM2017. Stef92 Technology, 2017. http://dx.doi.org/10.5593/sgemsocial2017/12/s02.086.

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Rapports d'organisations sur le sujet "Social sciences -> social sciences -> methodology"

Armstrong, Dave. Generalized Linear Models for Social and Health Sciences. Instats Inc., 2023. http://dx.doi.org/10.61700/dpngncc99f4pr469.

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This 12-week workshop provides a comprehensive understanding of GLMs and their application in various social and health science disciplines. With a lecture overview and hands-on lab component for each week, participants will gain practical experience in using R for implementing GLMs, evaluating model fit and presenting model results. An official Instats certificate of completion and 3 ECTS Equivalent points are provided at the conclusion of the seminar.

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Sims, Benjamin Hayden, et Christa Brelsford. Resilience : Concepts from Engineering, Ecology, and the Social Sciences. Office of Scientific and Technical Information (OSTI), décembre 2018. http://dx.doi.org/10.2172/1484612.

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O'Boyle, Ernest. Meta-Analysis and Systematic Reviews for the Social Sciences. Instats Inc., 2023. http://dx.doi.org/10.61700/7qu4pskuz9ke8469.

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This meta-analysis seminar will teach you how to confidently conduct a meta-analysis, from start to finish, in whatever substantive area interests you the most. This seminar will show you that the underlying statistics and analytic procedures are straightforward, but meta-analyses are anything but easy and require care, transparency, and accuracy through every step of the process -- from idea formation to interpretation and presentation of results. This seminar will cover all of this in detail so you can confidently plan and conduct your own meta-analyses. An official Instats certificate of completion is provided and 2 ECTS Equivalent points are offered for European PhD students.

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Grimm, Kevin. Machine Learning for Social and Health Sciences in R. Instats Inc., 2023. http://dx.doi.org/10.61700/61p1kmxy6183q469.

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This workshop, 'Introduction to Machine Learning with R', led by Kevin Grimm from Arizona State University, is designed to equip PhD students, professors, and professional researchers with the skills to apply machine learning techniques in their respective fields. Participants will gain a comprehensive understanding of machine learning concepts, techniques, and their application using R, enhancing their ability to analyze complex data, make accurate predictions, and connect with other professionals in their field.

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Nico, Magda. Reconfigurations and positioning of the concept of social mobility in the social sciences literature. Observatório das Desigualdades, 2015. http://dx.doi.org/10.15847/ciesodwp022015.

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Ruediger, Dylan, Danielle Cooper, Angela Bardeen, Liesl Baum, Shmuel Ben-Gad, Shaun Bennett, Kathleen Berger et al. Fostering Data Literacy : Teaching with Quantitative Data in the Social Sciences. Ithaka S+R, septembre 2022. http://dx.doi.org/10.18665/sr.317506.

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“Fostering Data Literacy: Teaching with Quantitative Data in the Social Sciences” explores why and how instructors teach with data, identifies the most important challenges they face, and describes how faculty and students utilize relevant campus and external resources. Full details and actionable recommendations for stakeholders are offered in the body of the report, which offers guidance to university libraries and other campus units, faculty, vendors, and others interested in improving institutional capacities to support data-intensive instruction in the social sciences.

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Grant, Catherine. The Role of Social and Behavioural Sciences in Emergencies and Crises. Institute of Development Studies, janvier 2024. http://dx.doi.org/10.19088/k4dd.2024.005.

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Social and behavioural sciences (SBS) have a lot to offer in a crisis situation. This report outlines what a crisis is and how it changes behaviours and realities during its existence, it gives case study examples of the impact of SBS during crises and why we need these approaches, outlines the key learnings from using these approaches and explains how SBS can be supported by donors.

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LaFlamme, Marcel. Affiliation in Transition : Rethinking Society Membership with Early-Career Researchers in the Social Sciences. Association of Research Libraries, octobre 2020. http://dx.doi.org/10.29242/report.affiliationintransition2020.

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This paper by Marcel LaFlamme explores new forms of connection and community for early-career researchers in less formal structures, often facilitated by social media and other communication technologies. By learning from these loosely institutionalized spaces, LaFlamme contends, scholarly societies as well as research libraries and their parent institutions can adapt to a changing environment and take steps to make scholarship more open and accessible.

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Buichik, A. G. ACHIEVEMENTS IN THE FIELD OF SOCIAL SCIENCES AND HUMANITIES IN THE RESTORATION AND CONSERVATION. Modern Science : Actual Problems of Theory and Practice №3, mars 2019. http://dx.doi.org/10.18411/buichik-ag-doi-6.

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Godfray, Charles, et Annette Boaz. Review of the Food Standard Agency’s Science Council and Advisory Committee for Social Sciences. Food Standards Agency, juin 2023. http://dx.doi.org/10.46756/sci.fsa.kec743.

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1. The Food Standards Agency (FSA), established in 2000, is an independent non-ministerial government department which works to protect public health and consumer’s interests in relation to food in England, Wales and Northern Ireland. Its work includes food safety and food crime, as well as helping to improve the healthiness and sustainability of diets. 2. Science and evidence underpin much of the work of the FSA and the Agency is supported by a range of Science Advisory Committees (SACs) which are constituted as non-statutory Advisory Non-departmental Public Bodies or Departmental Expert Committees 3. The two committees with the broadest remit are the Science Council (SC) and the Advisory Committee for Social Sciences (ACSS) which were both set up in 2017. Cabinet Office guidance states such committees should be reviewed every 3-5 years and accordingly the FSA commissioned this review in Q4 2022 to report in the first half of 2023 (a timeframe that was slightly delayed by the pandemic).

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