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Journal articles on the topic 'Social Sciences – methods'

Author: Grafiati

Published: 26 July 2024

Last updated: 31 July 2025

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1

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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2

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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3

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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4

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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5

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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6

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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7

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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8

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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9

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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10

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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11

Chatterjee, Samprit, N. Schofield, M. Chatterjee, S. Satchell, and P. Whitely. "Advanced Statistical Methods in the Social Sciences." Journal of Business & Economic Statistics 5, no. 1 (1987): 159. http://dx.doi.org/10.2307/1391227.

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12

Amaturo, Enrica, and Biagio Aragona. "Methods for big data in social sciences." Mathematical Population Studies 26, no. 2 (2019): 65–68. http://dx.doi.org/10.1080/08898480.2019.1597577.

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13

Spoon, Jeremy. "Environmental Social Sciences: Methods and Research Design." Ethnobiology Letters 3 (June 26, 2012): 33–34. http://dx.doi.org/10.14237/ebl.3.2012.48.

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Review of Environmental Social Sciences: Methods and Research Design. Ismael Vaccaro, Eric Alden Smith, and Shankar Aswani, eds. 2010. Cambridge University Press, Cambridge. Pp. 396, 41 b/w illustrations, 20 tables. US$49.99 (paperback). ISBN 9780521125710.

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14

Thomas, Gary. "Teaching research methods in the social sciences." Journal of Education for Teaching 37, no. 3 (2011): 366–68. http://dx.doi.org/10.1080/02607476.2011.588029.

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15

Babones, Salvatore. "Interpretive Quantitative Methods for the Social Sciences." Sociology 50, no. 3 (2015): 453–69. http://dx.doi.org/10.1177/0038038515583637.

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16

Oswald, Frederick L., and Dan J. Putka. "Big data methods in the social sciences." Current Opinion in Behavioral Sciences 18 (December 2017): 103–6. http://dx.doi.org/10.1016/j.cobeha.2017.10.006.

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17

Ali-Zade, Alexander. "MIXED METHODS - METHODOLOGICAL PROPOSAL TO THE SOCIAL SCIENCES." Studies of Science, no. 1 (2020): 4–26. http://dx.doi.org/10.31249/scis/2020.00.01.

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The article is devoted to the issues of modern research methodology in the humanities and social sciences. It examines the growing interest of the research community and methodologists of science in the field of humanities and social sciences in the use of mixed research methods - a combination of quantitative and qualitative analysis. It is concluded that the current interest of researchers in the use of mixed methods possibly indicates the formation in the humanities and social sciences of a new research paradigm based on the development of the methodology of mixed methods as an independent

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18

Bernard, H. Russell. "Science Editing in the Social Sciences: Methods Belong to All of Us." Bulletin of Sociological Methodology/Bulletin de Méthodologie Sociologique 91, no. 1 (2006): 20–24. http://dx.doi.org/10.1177/075910630609100105.

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19

Wensing, Michel. "Research methods from social science can contribute much to the health sciences." Journal of Clinical Epidemiology 61, no. 6 (2008): 519–20. http://dx.doi.org/10.1016/j.jclinepi.2007.12.014.

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20

Burgio, Louis D. "Disentangling the Translational Sciences: A Social Science Perspective." Research and Theory for Nursing Practice 24, no. 1 (2010): 56–63. http://dx.doi.org/10.1891/1541-6577.24.1.56.

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In this article the author first attempts to disentangle a number of issues in translational science from a social science perspective. As expected in a fledgling field of study being approached from various disciplines, there are marked differences in the research literature on terminology, definition of terms, and conceptualization of staging of clinical research from the pilot phase to widespread dissemination in the community. The author asserts that translational efforts in the social sciences are at a crossroads, and its greatest challenge involves the movement of interventions gleaned f

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21

Clarke, Simon. "Learning from experience: psycho-social research methods in the social sciences." Qualitative Research 2, no. 2 (2002): 173–94. http://dx.doi.org/10.1177/146879410200200203.

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22

Stallings, William M., Leonard A. Marascuilo, and Ronald C. Serlin. "Statistical Methods for the Social and Behavioral Sciences." Journal of the American Statistical Association 84, no. 405 (1989): 348. http://dx.doi.org/10.2307/2289907.

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23

Chuchupal, V. "Mathemathical methods and models in the social sciences." Актуальные направления научных исследований XXI века: теория и практика 3, no. 5 (2015): 343–46. http://dx.doi.org/10.12737/16040.

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24

Steleżuk, Andrzej, and Marek Wolanin. "Primary research using quantitative methods in social sciences." Zeszyty Naukowe Wyższej Szkoły Technicznej w Katowicach 16 (June 2023): 145–56. http://dx.doi.org/10.54264/0069.

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Empirical processes based on data from secondary or primary sources are characteristic of research in social sciences in the discipline of economics and finance. The difference between the two forms lies in the use of extraneous or so-called proprietary, or author’s data in the analysis. Primary research is a research process in which the author of the study conducts research using proprietary measurement tools created for the study and with reference to the adopted research method. In the field of economics, mainly quantitative methods are used and the most egalitarian method is the survey me

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25

Lee, Herbert K. H. "Bayesian Methods: A Social and Behavioral Sciences Approach." American Statistician 62, no. 4 (2008): 356. http://dx.doi.org/10.1198/000313008x370915.

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26

Pischke, Erin. "Methods of Sustainability Research in the Social Sciences." Social Science Journal 53, no. 4 (2016): 583–84. http://dx.doi.org/10.1016/j.soscij.2016.10.003.

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27

Essex-Sorlie, Diane, Leonard A. Marascuilo, and Ronald C. Serlin. "Statistical Methods for the Social and Behavioral Sciences." Journal of Educational Statistics 15, no. 1 (1990): 72. http://dx.doi.org/10.2307/1164823.

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28

Rai, Niharika. "Book Review: Research Methods in the Social Sciences." Management and Labour Studies 31, no. 4 (2006): 407–10. http://dx.doi.org/10.1177/0258042x0603100410.

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29

Subedi, Madhusudan. "Use of Mixed Methods in Social Sciences Research." Nepalese Journal of Development and Rural Studies 20, no. 01 (2023): 96–105. http://dx.doi.org/10.3126/njdrs.v20i01.64166.

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The landscape of social sciences is inherently complex and multifaceted, demanding a comprehensive and nuanced approach to research methodologies. This paper highlights the significance of mixed methods research in addressing the intricate and dynamic nature of social phenomena. Mixed methods not only enhance the validity and reliability of research findings but also allow for a holistic understanding of social phenomena and empower researchers to explore the comprehensiveness and diversity of human experiences, behaviors, and interactions that the traditional single-method approach often fall

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30

Fouzia, Beladjal. "Samples in social sciences and methods of withdrawing." Journal of Economic Growth and Entrepreneurship JEGE 6, no. 1 (2021): 166–81. https://doi.org/10.5281/zenodo.4482055.

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<em>        Any researcher in the field of Social Sciences tries to explain the reality by conducting a study on a certain phenomenon. However, the researcher usually faces many difficulties due to the large size of community large size of society, and to ensure an accurate representation, field research is a must. Here, the biggest obstacle is overcoming the inability to question all individuals, resorting to the method of sampling, which in its turn imposes the use of statistical methods that help achieve the optimal selection of individuals and the precise

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31

Schaffer, Frederic Charles. "Two ways to compare." Qualitative & Multi-Method Research 16, no. 1 (2018): 15–20. https://doi.org/10.5281/zenodo.2562165.

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In taking up the task of “rethinking comparison in the social sciences,” we might gainfully ask a basic, but not-too-often posed, question: What are the different ways to compare? Or to rephrase the query more precisely: What are the different ways in which we ordinarily use the word “compare”? My aim in posing this question is to bring into clearer view a way of comparing that, despite being both common and integral to the social sciences, often goes unnoticed. By drawing attention to it, I hope to provide social scientists with a set of starting points to think more c

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32

Ms., Elizabeth Rani, Geetha Jithin Mrs., Jelish Sharma Phurailatpam Ms., K. Radhika Prof., and I. Clement Dr. "Mixed Research Design." Journal of Nursing Science Practice, Research and Advancements 1, no. 2 (2019): 1–6. https://doi.org/10.5281/zenodo.2564504.

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Mixed methods research is systematic, theoretical, analysis of the method for conducting research that includes  collecting data, analysis, interpretation  of data  and also integrating qualitative and quantitative data grounded by a certain  principles. This approach to research is used when this integration provides a better understanding of the research problem than either of each alone the field of mixed methods has only explored a research problem. Mixed methods research is a concept that was originated in social sciences but have recently expanded into the health and

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33

Munck, Gerardo. "Ten fallacies about qualitative research." Qualitative & Multi-Method Research 3, no. 1 (2005): 2–5. https://doi.org/10.5281/zenodo.998196.

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Qualitative research, defined here in contrast to quantitative research as consisting of verbal as opposed to numerical statements or, more simply, of words as opposed to numbers, is an inextricable, necessary component of the social sciences. Moreover, for a variety of reasons, the bulk of existing knowledge in the social sciences has been generated through qualitative research and this form of research probably will continue to be the most commonly used path to knowledge. Yet a great part of the potential of qualitative research is not realized because the methodological foundation of this r

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34

Choi, Naomi. "Crafting explanatory concepts." Qualitative & Multi-Method Research 3, no. 2 (2005): 24–29. https://doi.org/10.5281/zenodo.997564.

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Aristotle’s basic point about the need to temper methods of inquiry to their subject matter instructs that methodology in the human sciences depends on ontology. Methods of inquiry should be appropriate to the kind of thing the subject of inquiry is. It would be a mistake to hold a single model of knowledge for subjects that are different in kind; in particular, to model all forms of knowledge on that of the natural sciences where the inquiry is typically into concrete objects, causal mechanisms, and law-like regularities. Indeed, many scholars have long recognized that the methods privileged

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35

Mutanen, Arto. "Constructive Methods in Economics." Synthesis philosophica 34, no. 1 (2019): 45–57. http://dx.doi.org/10.21464/sp34104.

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Constructive methods and constructivity have been under extensive discussion in the philosophy of science. In mathematics and experimental sciences, constructive methods have a long tradition. From experimental sciences, constructive methods broadened to empirical sciences, as constructive empiricism demonstrates. For the last few decades, scientists from social sciences have been discussing social constructionism, which is a new direction in this multidimensional tradition of constructive methods. In economics, mathematical methods such as game theory are generally used. The mathematisation o

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36

Richter, Philip. "Visual Research Methods in the Social Sciences: Awakening Visions." Journal of Contemporary Religion 27, no. 1 (2012): 176–78. http://dx.doi.org/10.1080/13537903.2012.643174.

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37

Lomax, Helen. "Visual research methods in the social sciences: Awakening visions." Visual Studies 27, no. 1 (2012): 111–12. http://dx.doi.org/10.1080/1472586x.2012.642962.

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38

Hempel, Carl G. "Typological methods in the natural and the social sciences." Ciência e filosofia, no. 6 (December 1, 2000): 229. http://dx.doi.org/10.11606/issn.2447-9799.cienciaefilosofi.2000.105352.

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39

Bergdahl, Jacqueline. "Book Review: Teaching Research Methods in the Social Sciences." Teaching Sociology 38, no. 4 (2010): 393–94. http://dx.doi.org/10.1177/0092055x10380692.

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40

Manrique-Vallier, Daniel. "Capture-Recapture Methods for the Social and Medical Sciences." American Statistician 74, no. 2 (2020): 207–8. http://dx.doi.org/10.1080/00031305.2020.1745574.

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41

Sweet, Tracy M. "Social Network Methods for the Educational and Psychological Sciences." Educational Psychologist 51, no. 3-4 (2016): 381–94. http://dx.doi.org/10.1080/00461520.2016.1208093.

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42

GELMAN, ANDREW, and DONALD B. RUBIN. "Evaluating and Using Statistical Methods in the Social Sciences." Sociological Methods & Research 27, no. 3 (1999): 403–10. http://dx.doi.org/10.1177/0049124199027003004.

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43

Wellman, Barry, and Susan Sim. "Integrating Textual and Statistical Methods in the Social Sciences." CAM Newsletter 2, no. 1 (1990): 1–3. http://dx.doi.org/10.1177/1525822x9000200102.

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44

Wellman, Barry, and Susan Sim. "Integrating Textual and Statistical Methods in the Social Sciences." CAM Newsletter 2, no. 2 (1990): 1–5. http://dx.doi.org/10.1177/1525822x9000200201.

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45

Dhobi, Saleem. "PhD Research in Humanities & Social Sciences: Methods & Approaches." Patan Pragya 10, no. 01 (2022): 179–87. http://dx.doi.org/10.3126/pragya.v10i01.50755.

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This paper discusses philosophical approaches usually employed in undertaking research in general and PhD research in particular in Humanities and Social Sciences. The role of qualitative research that focuses on feelings and opinions collected through different research methods and tools is paramount in disciplines like History, Economics, Sociology, Linguistics, Literature etc. The article underscores the approaches rather than methods. In addition, the paper demonstrates how approaches including positivism, constructivism, interpretivism, critical theory, and so on rest on the ontological,

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46

Ardabili, Sina, Amir Mosavi, Csaba Makó, and Péter Sasvári. "A Comprehensive Review and Evaluation of Deep Learning Methods in Social Sciences." Pro Publico Bono – Magyar Közigazgatás 12, no. 1 (2024): 9–51. http://dx.doi.org/10.32575/ppb.2024.1.2.

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Artificial intelligence (AI) is widely used in social sciences and continues to evolve. Deep learning (DL) has emerged as a powerful AI tool transforming the social sciences with valuable insights across many areas. Employing DL for modelling social sciences’ big data has led to significant discoveries and transformations. This study aims to systematically review and evaluate DL methods in the social sciences. Following PRISMA guideline, this study identifies fundamental DL methods applied to social science applications. We evaluated DL models using reported metrics and calculated a normalised

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47

Blanchard, Philippe. "What is time for sequence analysis?" Qualitative & Multi-Method Research 11, no. 2 (2013): 17–21. https://doi.org/10.5281/zenodo.898117.

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Any rigorous approach to temporal phenomena in the social sciences involves a model of time, that is, a simplified representation of it, in order to keep what is seen as essential and to drop or minimise what is not.1 This holds true for any kind of method, be it narrative history, duration models, life course histories, process-tracing, Markov models, or auto-biography. My purpose in this paper is to explicate the way time is modelled by sequence analysis (SA), a new approach to longitudinal data brought to the social sciences in the 1980s (Blanchard 2011; LaCOSA 2012; Blanchard et al. forthc

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48

Orkan, Ahmet L., and Serra Orkan. "A STUDY ON SCIENTIFIC RESEARCH AND METHODS." Journal of Communication Science Researches 5, no. 2 (2025): 63–77. https://doi.org/10.5281/zenodo.15183385.

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Methodology is very important in scientific research. In this article, firstly the conceptual framework of scientific research and the research process in social sciences are explained. The process of scientific data collection and analysis is mentioned and generalisations about the methods are mentioned. A broad perspective on qualitative and quantitative research methods is among the objectives. Titles are also important as they represent the research message. For this reason in the research part of the study, doctoral theses were scanned according to their titles on the website of the counc

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49

Musafir, Musafir, Maedatul Mulianah, Muliati Muliati, Wiratul Wahidah, and Neti Wulandari. "Teaching Traditions of Introduction to Social Sciences and Characteristics of Methods for Introducing Social Sciences to Early Childhood." Jurnal Ilmiah Mandala Education 11, no. 1 (2025): 61. https://doi.org/10.58258/jime.v11i1.8117.

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Teaching social sciences to early childhood has an important role in shaping their understanding of society, culture and social interactions. This article discusses the tradition of introducing social sciences and the characteristics of the methods used in teaching young children. By using a qualitative approach and data analysis from various sources, this research aims to provide a clear picture of how social studies teaching can be carried out effectively and relevantly. The results of the analysis show that various methods, such as project-based learning and role-playing, can increase child

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50

Oreski, Dijana. "Application of Machine Learning Methods for Data Analytics in Social Sciences." WSEAS TRANSACTIONS ON SYSTEMS 22 (March 7, 2023): 69–72. http://dx.doi.org/10.37394/23202.2023.22.8.

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This article addresses the challenges in the application of artificial intelligence methods such as machine learning, computational intelligence and/or soft computing methods in social sciences. The literature review is performed in order to give a review of different approaches and methods that have been applied so far. The most used method in social sciences and management is the SWOT method, for the identification of strengths, weaknesses, opportunities, and threats when making strategic decisions. Two fundamental characteristics of previous approaches are the development of numerical model

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