Titlebook: Complementary Research Methods for Educational Leadership and Policy Studies; Chad R. Lochmiller Book 2018 The Editor(s) (if applicable) a

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ship issues and the contemporary policy context that surrounds them. Chapters provide both practical recommendations for using the methods discussed as well as suggestions for further reading.?978-3-030-06679-6978-3-319-93539-3

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Complementary Research Methods: An Introduction and Overview,e research community. Finally, the chapter supports novice scholars, specifically, by describing the ways in which readers might use the volume, and it provides some reflective questions that illuminate the epistemological, methodological, and conceptual ideas undergirding the volume’s contents.

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Qualitative Research in Educational Leadership Studies: Issues in the Design and Conduct of Studies(b) explore the possibility of developing a signature research methodology for the study of educational leadership, and (c) to consider how sources of knowledge in educational leadership influence the ways that people make sense of their work as scholars and practitioners.

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Doing Critical Policy Analysis in Education Research: An Emerging Paradigmolicy analysis within the field of education, including the theoretical and methodological approaches used by critical policy researchers. In addition to providing specific examples of critical policy studies, the chapter provides guidance for novice scholars who are interested in engaging in CPA and identifies a set of recommended readings.

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Secondary Data Analysis in the Field of Educational Leadership and Policy Studiesistical analysis. Indeed, once researchers learn how to analyze one of these main data sets, this knowledge can be applied across additional years of the same data set, extended to other available national/international surveys, and can provide an example of how future original data collections may be shared with other researchers.

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Matching Strategies for Causal Inference with Observational Data in Educationbaseline covariates and their reliable measurement is much more important than the choice of a specific matching technique. Sensitivity analyses can be very helpful in assessing the effect of unobserved confounding.

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