Relevant bibliographies by topics / Social Sciences – methods

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Social Sciences – methods'

Author: Grafiati
Published: 26 July 2024
Last updated: 31 July 2025

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Journal articles on the topic "Social Sciences – methods"

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Simmons, Erica S., Nicholas Rush Smith, and Rachel A. Schwartz. "Rethinking comparison in the social sciences." Qualitative & Multi-Method Research 16, no. 1 (2018): 1–7. https://doi.org/10.5281/zenodo.2562143.

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The articles in this symposium explore two fundamental questions in the study of politics: (1) why do we compare what we compare; and (2) how do the methodological assumptions we make about why and how we compare shape the knowledge we produce? Qualitative comparative methods—and specifically controlled qualitative comparisons—have been central to some of the most influential works of social science. Controlled comparisons drive studies on phenomena as varied as the preconditions of social revolution (Skocpol 1979), the divergent effects of working class mobilization (Collier and C
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Felaco, Cristiano, Francesco Amato, and Biagio Aragona. "Digital methods for social sciences." Mathematical Population Studies 31, no. 4 (2024): 237–41. http://dx.doi.org/10.1080/08898480.2024.2414653.

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Cyr, Jennifer. "Applying a new approach to knowing the social world." Qualitative & Multi-Method Research 19/20, no. 2/1 (2022): 39–42. https://doi.org/10.5281/zenodo.6448162.

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Seem, John, D. Nachmias, and C. Nachmias. "Research Methods in the Social Sciences." Teaching Sociology 16, no. 2 (1988): 217. http://dx.doi.org/10.2307/1317432.

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EJD, Alan Agresti, and Barbara Finlay. "Statistical Methods for the Social Sciences." Journal of the American Statistical Association 93, no. 442 (1998): 844. http://dx.doi.org/10.2307/2670147.

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Mishra, Sanjaya. "Research methods in the social sciences." British Journal of Educational Technology 36, no. 3 (2005): 579–80. http://dx.doi.org/10.1111/j.1467-8535.2005.00515_7.x.

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Ploch, Donald R., Alan Agresti, Barbara Finlay, and David K. Hildebrand. "Statistical Methods for the Social Sciences." Journal of the American Statistical Association 82, no. 399 (1987): 954. http://dx.doi.org/10.2307/2288827.

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Wiltfang, Gregory L., and Bruce L. Berg. "Qualitative Research Methods for the Social Sciences." Teaching Sociology 18, no. 4 (1990): 563. http://dx.doi.org/10.2307/1317652.

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Lipovetsky, Stan. "Applied Regularization Methods for the Social Sciences." Technometrics 64, no. 3 (2022): 419–21. http://dx.doi.org/10.1080/00401706.2022.2087423.

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Hillebrand, John D., and Bruce L. Berg. "Qualitative Research Methods for the Social Sciences." Teaching Sociology 28, no. 1 (2000): 87. http://dx.doi.org/10.2307/1319429.

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Dissertations / Theses on the topic "Social Sciences – methods"

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Yu, Jingyuan. "Discovering Twitter through Computational Social Science Methods." Doctoral thesis, Universitat Autònoma de Barcelona, 2021. http://hdl.handle.net/10803/671609.

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Visibilitzant la vida quotidiana de la gent, Twitter s'ha convertit en una de les plataformes d'intercanvi d'informació més importants i ha atret ràpidament l'atenció dels científics. Investigadors de tot el món s'han centrat en les ciències socials i en els estudis d'Internet amb dades de Twitter com a mostra del món real, i en l'última dècada s'han dissenyat nombroses eines d'anàlisis i algorismes. La present tesi doctoral consta de tres recerques, en primer lloc, donats els 14 anys (fins a 2020) d'història des de la fundació de Twitter, hem assistit a una explosió de publicacions científiqu
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Kumlin, Terese. "Social science students’ perceptions of motivational methods and approaches in science class." Thesis, Malmö högskola, Fakulteten för lärande och samhälle (LS), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-36394.

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How to motivate students effectively is a question teachers have asked for thousands ofyears. In my teaching program at Malmö University, a variety of teaching methods andapproaches, that also increase motivation, have come into focus. These include:teaching at the right level, using a variety of teaching methods, seeing every student,being enthusiastic about the material, using formative evaluation, connecting lessons tostudents’ everyday life, and adapting classes to students’ interests. The aim of this studyis to find out how secondary students in a social science program perceive teachingm
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NOVELLO, NOEMI. "The Quest for Integration in Mixed Methods Inquiry: A Research Synthesis on Mixed Methods Studies in Social Sciences." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2019. http://hdl.handle.net/10281/241259.

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Nel campo dei mixed methods nella ricerca sociale, l’integrazione può seguire due possibili logiche generali: una prospettiva di complementarietà, secondo cui com binare strategie qualitative e quantitative sarebbe un tentativo di arricchimento informativo – per ottenere una comprensione più completa di un determinato fenomeno sociale – e una di convergenza, che pone l’attenzione sulla possibilità di superare il bias legato a singoli metodi, attraverso l’integrazione. Mentre il primo punto di vista sembra piuttosto aproblematico, sia da un punto di vista teorico che nell’implementazione empiri
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van, Romondt Vis Pauline. "Changing social scientific research practices : negotiating creative methods." Thesis, Loughborough University, 2016. https://dspace.lboro.ac.uk/2134/22639.

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In recent decades social scientists have started to use qualitative creative methods1 more and more, because of epistemological and methodological developments on the one hand and demands of innovation by governmental funding agencies on the other. In my thesis I look at the research practices of social scientists who use these qualitative creative methods and answer the following main research question: How are practices and approaches from the arts (specifically visual lens-based arts, poetry, performance and narrative) negotiated in social scientific research practice? This question has bee
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Toupal, Rebecca Stuart. "Landscape perceptions and natural resource management: Finding the 'social' in the 'sciences'." Diss., The University of Arizona, 2001. http://hdl.handle.net/10150/279917.

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Multi-cultural demands of public lands in the United States continue to challenge federal land managers to address social and cultural concerns in their planning efforts. Specifically, these individuals lack adequate knowledge of cultural concerns as well as a consistent strategy for acquiring that knowledge for use in decision-making. Current federal approaches to cultural concerns include public participation, conservation partnerships, government-to-government consultations with American Indian tribes, cultural resource inventories, and landscape analysis. Since cultural knowledge arises fr
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Christian, Richard Dennis Rhodes Dent. "A design for teaching preservice secondary social studies teachers methods for teaching critical thinking skills." Normal, Ill. Illinois State University, 1995. http://wwwlib.umi.com/cr/ilstu/fullcit?p9633389.

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Thesis (Ed. D.)--Illinois State University, 1995.<br>Title from title page screen, viewed May 10, 2006. Dissertation Committee: Dent M. Rhodes (chair), Larry Kennedy, Kenneth Jerrich, Frederick Drake. Includes bibliographical references (leaves 195-204) and abstract. Also available in print.
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Hampton, Jennifer. "The nature of quantitative methods in A level sociology." Thesis, Cardiff University, 2018. http://orca.cf.ac.uk/118019/.

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British sociology has been characterised as suffering from a 'quantitative deficit' originating from a shift towards qualitative methods in the discipline in the 1960s. Over the years, this has inspired a number of initiatives aimed at improving number work within the discipline, of which the Q-step programme is the most recent. These initiatives, and the work that supports them, primarily concern themselves with the curricula, attitudes, and output of students and academics within Higher Education. As such, the role that the substantive A level plays in post-16 quantitative education has been
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Fang, Zhou. "Reweighting methods in high dimensional regression." Thesis, University of Oxford, 2012. http://ora.ox.ac.uk/objects/uuid:26f8541a-9e2d-466a-84aa-e6850c4baba9.

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In this thesis, we focus on the application of covariate reweighting with Lasso-style methods for regression in high dimensions, particularly where p ≥ n. We apply a particular focus to the case of sparse regression under a-priori grouping structures. In such problems, even in the linear case, accurate estimation is difficult. Various authors have suggested ideas such as the Group Lasso and the Sparse Group Lasso, based on convex penalties, or alternatively methods like the Group Bridge, which rely on convergence under repetition to some local minimum of a concave penalised likelihood. We prop
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Hildreth-Blue, Cynthia. "Enlivening California's sixth grade history/social sciences curriculum with historical fiction." CSUSB ScholarWorks, 1990. https://scholarworks.lib.csusb.edu/etd-project/562.

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Hanappi, Hardy, and Manuel Scholz-Wäckerle. "Evolutionary Political Economy: Content and Methods." Taylor & Francis Group, 2017. http://dx.doi.org/10.1080/07360932.2017.1287748.

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In this paper we present the major theoretical and methodological pillars of evolutionary political economy. We proceed in four steps. Aesthetics: In chapter 1 the immediate appeal of evolutionary political economy as a specific scientific activity is described. Content: Chapter 2 explores the object of investigation of evolutionary political economy. Power: The third chapter develops the interplay between politics and economics. Methods: Chapter 4 focuses on the evolution of methods necessary for evolutionary political economy.
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Books on the topic "Social Sciences – methods"

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Bryman, Alan. Social research methods. Oxford University Press, 2001.

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1942-, Teevan James J., ed. Social research methods. Oxford University Press, 2005.

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David, Dooley. Social research methods. 3rd ed. Prentice Hall, 1995.

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David, Dooley. Social research methods. 4th ed. Prentice Hall, 2001.

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Hessler, Richard M. Social research methods. West Pub. Co., 1992.

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Walter, Maggie. Social research methods. 2nd ed. Oxford University Press, 2010.

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Sica, Alan. Comparative Methods in the Social Sciences. SAGE Publications Ltd, 2006. http://dx.doi.org/10.4135/9781446261064.

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Hall, John, and Joseph Bryant. Historical Methods in the Social Sciences. SAGE Publications Ltd, 2005. http://dx.doi.org/10.4135/9781446261934.

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Stockemer, Daniel. Quantitative Methods for the Social Sciences. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-99118-4.

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David, Nachmias, ed. Research methods in the social sciences. 5th ed. Arnold, 1996.

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Book chapters on the topic "Social Sciences – methods"

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Bright, Jonathan. "‘Big Social Science': Doing Big Data in the Social Sciences." In The SAGE Handbook of Online Research Methods. SAGE Publications Ltd, 2017. http://dx.doi.org/10.4135/9781473957992.n8.

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Yang, Lee-Xieng. "Applications of Internet Methods in Psychology." In Computational Social Sciences. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-95465-3_13.

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Gleeson, James P., and Mason A. Porter. "Message-Passing Methods for Complex Contagions." In Computational Social Sciences. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77332-2_5.

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Estalella, Adolfo. "Prototyping Social Sciences: Emplacing Digital Methods." In Digital Methods for Social Science. Palgrave Macmillan UK, 2016. http://dx.doi.org/10.1057/9781137453662_8.

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Gupta, Ajay. "Data Analysis Methods." In Springer Texts in Social Sciences. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-49650-9_5.

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Finkelstein, Michael O., and Bruce Levin. "Nonparametric Methods." In Statistics for Social and Behavioral Sciences. Springer US, 2024. https://doi.org/10.1007/978-1-0716-4156-9_12.

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Murata, Tsuyoshi, and Hokuto Koga. "Approximation Methods for Influence Maximization in Temporal Networks." In Computational Social Sciences. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23495-9_18.

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Duan, Yueran, Qing Guan, Petter Holme, Yacheng Yang, and Wei Guan. "Temporal Link Prediction Methods Based on Behavioral Synchrony." In Computational Social Sciences. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-30399-9_19.

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Murata, Tsuyoshi, and Hokuto Koga. "Approximation Methods for Influence Maximization in Temporal Networks." In Computational Social Sciences. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-30399-9_18.

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Reddy, M. Venkataswamy. "Statistical Package for Social Sciences." In Statistical Methods in Psychiatry Research and SPSS. Apple Academic Press, 2019. http://dx.doi.org/10.1201/9780429023309-21.

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Conference papers on the topic "Social Sciences – methods"

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Srivastava, Atul, Kunal Chandra, Vijay Shankar Sharma, and Anuradha Pillai. "Methods and Applications for Sentiment Analysis in Online Social Networks." In 2024 International Conference on Computing, Sciences and Communications (ICCSC). IEEE, 2024. https://doi.org/10.1109/iccsc62048.2024.10830352.

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Xiao, Lizhong, and Xinglan Yang. "Research on Public Opinion Sentiment Analysis Methods for Social Networks." In 2024 9th International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS). IEEE, 2024. https://doi.org/10.1109/iciibms62405.2024.10792802.

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Line, Antra, Anita Lasmane, and Liga Jankova. "PERCEPTIONS OF LATVIAN UNIVERSITIES MANAGEMENT STUDENTS ON CORPORATE SOCIAL RESPONSIBILITY AND ITS IMPLEMENTATION IN LATVIAN ENTERPRISES." In 11th SWS International Scientific Conferences on SOCIAL SCIENCES - ISCSS 2024. SGEM WORLD SCIENCE, 2024. https://doi.org/10.35603/sws.iscss.2024/s08/31.

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In the European Union, corporate social responsibility is no longer a novel concept in contemporary enterprises. In various enterprises, corporate social responsibility has reached different levels, and Latvia is also pursuing its development path in this area. Within this framework, enterprises are encouraged to pay greater attention to responsibility not only towards employees but also towards the environment and society, thus implementing a sustainable approach to corporate management. Several researchers have emphasised that the interest and understanding of managers play a crucial role in
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Pinto-Llorente, Ana María, M. Cruz Sánchez-Gómez, and António Pedro Costa. "Qualitative and Mixed Methods Researches in Social Sciences." In TEEM'20: Eighth International Conference on Technological Ecosystems for Enhancing Multiculturality. ACM, 2020. http://dx.doi.org/10.1145/3434780.3436696.

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Ageeva, Natalia, Tatiana Ivanova, Rustem Idrisov, Marina Krasnova, Oleg Shirokov, and Marina Shirokova. "THE USE OF INNOVATIVE METHODS IN TEACHING SOCIAL SCIENCES." In INTCESS 2021- 8th International Conference on Education and Education of Social Sciences. International Organization Center of Academic Research, 2021. http://dx.doi.org/10.51508/intcess.202185.

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Richter, Francisca García-Cobián, Emily Nelson, Nicole Coury, Laura Bruckman, and Shanina Knighton. "FAIR2: A framework for addressing discrimination bias in social data science." In CARMA 2023 - 5th International Conference on Advanced Research Methods and Analytics. Universitat Politècnica de València, 2023. http://dx.doi.org/10.4995/carma2023.2023.16400.

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Building upon the FAIR principles of (meta)data (Findable, Accessible, Interoperable and Reusable) and drawing from research in the social, health, and data sciences, we propose a framework -FAIR2 (Frame, Articulate, Identify, Report) - for identifying and addressing discrimination bias in social data science. We illustrate how FAIR2 enriches data science with experiential knowledge, clarifies assumptions about discrimination with causal graphs and systematically analyzes sources of bias in the data, leading to a more ethical use of data and analytics for the public interest. FAIR2 can be appl
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"Discourse on the Contemporary Methods of Research in Social Sciences." In International Conference on Trends in Social Sciences and Humanities. Emirates Research Publishing, 2015. http://dx.doi.org/10.17758/erpub.er815045.

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Chadjipadelis, Theodore, Marina Sotiroglou, and Eirini Gkouramani. "Teaching “quantitative methods of analysis in social sciences” at university level." In Teaching Statistics in a Data Rich World. International Association for Statistical Education, 2017. http://dx.doi.org/10.52041/srap.17406.

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This paper deals with the organization and teaching methods of the compulsory course “Quantitative Methods of Analysis in the Social Sciences” in the department of Political Sciences (A.U.TH) to postgraduate students. Various interactive teaching methods can be put in practice in order to achieve the initial teaching purposes and outcomes which include understanding the meaning of the electoral and the party system, comprehension of quantitative methods and finally the implementation of the given methods. The course’s aim is for the students to enhance data analysis capabilities and statistica
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Pietkowska, Renata. "PRODUCTIVITY IMPROVEMENT IN A MANUFACTURING COMPANY – CONCEPTS, METHODS AND TECHNIQUES." In NORDSCI Conference on Social Sciences. SAIMA CONSULT LTD, 2018. http://dx.doi.org/10.32008/nordsci2018/b2/v1/28.

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Salas-Molina, Francisco. "DEVELOPING USEFUL WORKFLOWS TO TEACH QUANTITATIVE METHODS TO SOCIAL SCIENCES STUDENTS." In 17th International Technology, Education and Development Conference. IATED, 2023. http://dx.doi.org/10.21125/inted.2023.0273.

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Reports on the topic "Social Sciences – methods"

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Xu, Ran. Introduction to Social Network Analysis (Free Seminar). Instats Inc., 2024. https://doi.org/10.61700/zud3mrhp34b2l1910.

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This seminar provides an introduction to social network analysis (SNA), equipping researchers in social sciences, population health science, and systems science with essential tools to examine relationships and behaviors in varied contexts, including mHealth and social media. Attendees will gain a practical understanding of the basics of network theory, data analysis, visualization methods, and real-world applications of SNA.
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Pottinger, Laura, Amy Barron, Alison Browne, and Sarah Marie Hall. Should we be spending more time talking about methods? Royal Geographical Society (with IBG), 2022. http://dx.doi.org/10.55203/kzeb3802.

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Rohlfing, Ingo. Process Tracing: Introduction to Methods and Applications. Instats Inc., 2023. http://dx.doi.org/10.61700/rqipcw8atqqes706.

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This workshop explores the essentials of process tracing, a key research method in the social sciences and adjacent fields. This comprehensive 3-day event covers topics from the basics and theoretical background of process tracing to its practical applications, data collection, challenges, ethical considerations, and future research directions. At the end of the workshop, participants will have a thorough understanding and learned practical skills for realizing their own studies.
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Löschke, Sina, Matthias Kreuzburg, Gregor Rehder, Miranda Boettcher, Lukas Tank, and Christian Baatz. CDRmare Insights: New guidelines on the uniform and knowledge-based assessment of marine CO2 removal methods. CDRmare, 2025. https://doi.org/10.3289/cdrmare.45.

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In the CDRmare research consortium ASMASYS, experts from the natural sciences, social sciences and humanities have developed an extensive assessment framework for ocean-based carbon dioxide (CO2) removal methods and projects. By applying this framework, responsible actors can systematically gather and compile all necessary information to make an evidence-based decision on the potential implementation of marine CO2 removal methods.
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Cattaneo, Matias D., Richard K. Crump, Max H. Farrell, and Yingjie Feng. Nonlinear Binscatter Methods. Federal Reserve Bank of New York, 2024. http://dx.doi.org/10.59576/sr.1110.

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Binned scatter plots are a powerful statistical tool for empirical work in the social, behavioral, and biomedical sciences. Available methods rely on a quantile-based partitioning estimator of the conditional mean regression function to primarily construct flexible yet interpretable visualization methods, but they can also be used to estimate treatment effects, assess uncertainty, and test substantive domain-specific hypotheses. This paper introduces novel binscatter methods based on nonlinear, possibly nonsmooth M-estimation methods, covering generalized linear, robust, and quantile regressio
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Yaremchuk, Olesya. TRAVEL ANTHROPOLOGY IN JOURNALISM: HISTORY AND PRACTICAL METHODS. Ivan Franko National University of Lviv, 2021. http://dx.doi.org/10.30970/vjo.2021.49.11069.

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Our study’s main object is travel anthropology, the branch of science that studies the history and nature of man, socio-cultural space, social relations, and structures by gathering information during short and long journeys. The publication aims to research the theoretical foundations and genesis of travel anthropology, outline its fundamental principles, and highlight interaction with related sciences. The article’s defining objectives are the analysis of the synthesis of fundamental research approaches in travel anthropology and their implementation in journalism. When we analyze what metho
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Schneider, Carsten. Advanced Applications of QCA (Qualitative Comparative Analysis) in R. Instats Inc., 2023. http://dx.doi.org/10.61700/4fghv0ob2x5de469.

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This seminar on advanced set-theoretic methods for the social sciences focuses on applied Qualitative Comparative Analysis (QCA). This method is used in fields as diverse as political science, public policy, international relations, sociology, business and management, organizational studies, and even musicology. This seminar will enable participants to produce cutting edge QCA-based research through hands-on coverage of the most recent advances in QCA. All applied components of the seminar are performed in the R software environment, using RStudio and R packages QCA and SetMethods. An official
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Schneider, Carsten. Advanced Applications of QCA (Qualitative Comparative Analysis) in R. Instats Inc., 2022. http://dx.doi.org/10.61700/qdu1nxlyz9e6c469.

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This seminar on advanced set-theoretic methods for the social sciences focuses on applied Qualitative Comparative Analysis (QCA). This method is used in fields as diverse as political science, public policy, international relations, sociology, business and management, organizational studies, and even musicology. This seminar will enable participants to produce cutting edge QCA-based research through hands-on coverage of the most recent advances in QCA. All applied components of the seminar are performed in the R software environment, using RStudio (Cloud) and R packages QCA and SetMethods. An
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Lang, Jonas. Multilevel Modeling in R: Basic and Advanced Methods. Instats Inc., 2023. http://dx.doi.org/10.61700/aac2dxlrxcebk469.

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The seminar teaches basic and intermediate multilevel techniques used in the social, health, and organizational sciences in an accessible manner. The course relies on the free software R and the modeling packages lme4 and nlme along with help functions and datasets from the multilevel library (Bliese, 2021). Topics include (1) aggregation models and the use of agreement and reliability statistics like the ICC1, ICC2, and rwg, (2) model specification and interpretation of “standard” multilevel models used in organizational research (data centering, random slopes, interaction effects), (3) graph
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Schneider, Carsten. Introduction to QCA (Qualitative Comparative Analysis) with R. Instats Inc., 2023. http://dx.doi.org/10.61700/85r1sesxjhke3469.

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This seminar introduces applied set-theoretic methods for the social sciences, focusing on Qualitative Comparative Analysis (QCA). This method is used in fields as diverse as political science, public policy, international relations, sociology, business and management, organizational studies, and even musicology. This seminar will enable participants to produce a publishable QCA of their own. To achieve this, the seminar provides both the formal set-theoretical underpinnings of QCA as well as the technical and practical research skills necessary for performing a QCA. All applied components of
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