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  1. Assessing Philosophical Foundations of Mixed Methods Research.Yafeng Shan - 2023 - In Philosophical Foundations of Mixed Methods Research: Dialogues Between Researchers and Philosophers. London: Routledge. pp. 1-10.
    A variety of philosophical positions have been proposed and developed to motivate, justify, and guide mixed methods research. This chapter provides a brief overview of the main positions in the debate over the philosophical foundations of mixed methods research. It shows that ‘philosophical foundations’ means differently while different positions provide ‘philosophical foundations’ in different senses. It also highlights the significance of the collaboration between researchers and philosophers in the examination of the philosophical foundations of mixed methods research.
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  • Evidential monism, evidential pluralism, or evidential contextualism? An introduction to evidential diversity in the social sciences.Yafeng Shan & Jon Williamson - 2022 - Synthese 200 (4):1-6.
    Social scientists often draw on a variety of evidence for their causal inferences. There is also a call to use a greater variety of evidence in social science research. This topical collection examines the philosophical foundations and implications of evidential diversity in the social sciences. It assesses the application of Evidential Pluralism in the context of the social sciences, especially its application to economics and political science. It also discusses the concept of causation in cognitive science and the implications of (...)
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  • Limits to evidential pluralism: multi-method large-N qualitative analysis and the primacy of mechanistic studies.Rosa W. Runhardt - 2022 - Synthese 200 (2):1-23.
    Evidential pluralists, like Federica Russo and Jon Williamson, argue that causal claims should be corroborated by establishing both the existence of a suitable correlation and a suitable mechanism complex. At first glance, this fits well with mixed method research in the social sciences, which often involves a pluralist combination of statistical and mechanistic evidence. However, statistical evidence concerns a population of cases, while mechanistic evidence is found in individual case studies. How should researchers combine such general statistical evidence and specific (...)
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