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QUALITATIVE RESEARCH METHODOLOGY IN SOCIAL SCIENCES AND RELATED SUBJECTS [PDF]
Journal of Economic Development, Environment and People, 2018 This literature review paper discusses the proper use of qualitative research methodology to discuss several aspects of the research for the improvement of the skill of the readers.
Haradhan Kumar MOHAJAN
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An Exposition of Research Methodology in Management and Social Sciences [PDF]
Journal of Economic Development, Environment and People, 2013 In writing this paper the author has consciously stood apart from his earlier works and attempted to dispassionately review his own position so that some degree of clarity of thought might emerge in the process.
Sorab Sadri
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Reading Foucault: Genealogy and Social Science Research Methodology and Ethics [PDF]
Sociological Research Online, 2009 Foucault's work has given rise to increased methodological sensitivity of the political dangers associated with traditional qualitative approaches in the social sciences. There is a growing awareness that the widespread use of the research interview is not indicative of a deepening insight into the workings of culture, but is part of a broader social ...
Wendy Bastalich
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EIRP Proceedings, 2020 Most research practice constructs in social sciences are predominantly well defined and constructed, yet many authors hold different interpretations of certain key terms and concepts, causing a degree of confusion, overlap and uncertainty.
Norbert E Haydam, Pieter Steenkamp
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Embracing New Perspectives in History, Social Sciences, and Education [PDF]
, 2022 This book provides a collection of articles resulting from the International Conference on History, Social Sciences, and Education (ICHSE), which was held on 11 September 2021.
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Editorial: Methodological issues in psychology and social sciences research
Frontiers in Psychology, 2023 In recent decades, the classical methods of studying the psychometric properties of tests have advanced to evolve into new innovative statistical methods, which allows obtaining a new view of the data. In this sense, progress has been made in the use of item response theory and in the use of structural equation models.
Espejo Tort, Begoña +2 more
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Short text classification with machine learning in the social sciences: The case of climate change on Twitter [PDF]
PLoS ONE 18(9): e0290762 (2023), 2023 To analyse large numbers of texts, social science researchers are increasingly confronting the challenge of text classification. When manual labeling is not possible and researchers have to find automatized ways to classify texts, computer science provides a useful toolbox of machine-learning methods whose performance remains understudied in the social
arxiv +1 more source
Data-driven Computational Social Science: A Survey [PDF]
Big Data Research, 2020, 2020 Social science concerns issues on individuals, relationships, and the whole society. The complexity of research topics in social science makes it the amalgamation of multiple disciplines, such as economics, political science, and sociology, etc. For centuries, scientists have conducted many studies to understand the mechanisms of the society.
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Methodological monotheism across fields of science in contemporary quantitative research [PDF]
Quantitative Science Studies (2024) 5 (2): 426-446, 2022 The importance of research teams' diversity for the progress of science is highlighted extensively. Despite the seemingly hegemonic role of hypothesis testing in modern quantitative research, little attention has been devoted to the diversity of quantitative methods, epitomized by the linear model framework of analysis. Using bibliometric data from the
arxiv +1 more source
SOCIAL SCIENCES’ TRANSFORMATION IN LIGHT OF COVID-19 [PDF]
, 2021 Transformations in social sciences accelerated by the COVID-19 pandemic remain under-explored. The aim of the article is to analyse scientific literature on social sciences’ transformation in light of COVID-19 underpinning the elaboration of implications
Ahrens, Andreas, Zascerinska, Jelena
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