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"Undertaking a Professional Doctorate in Education (EdD) can be a daunting yet career-defining task. Through engaging with research, increasing your networks, and conducting your own research project, you will advance your professional practice and understanding of your field. Completing your EdD is the new essential text to guide you through your doctorate. It provides a thorough and comprehensive guide intended to accompany you as you successfully progress through your EdD. It is packed with critical information covering key topics from both the taught modules you will undertake and advice for conducting your own research project. Coverage includes writing at doctoral level, conducting a literature review, theoretical frameworks, research ethics, the relationship with your supervisor, and more. Bridging theory and practice, chapters include practical, real-life examples taken from EdD students' experiences and work, as well as extracts offered by practitioners. Written by current EdD teachers, programme leaders and supervisors, and featuring feedback from recently completed EdD students, this vital resource is a must-read for any EdD candidate and will remain a go-to guide for qualified professionals working in education and beyond."--Publisher's website.
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In Graduate Study in Psychology: Your Guide to Success author Tara Kuther takes the reader step-by-step through the graduate admissions process. She begins with posing the question of whether graduate school is right for everyone and the differences between pursuing a master's degree or a doctoral degree. The following chapters contain information regarding what graduate school is like, how to evaluate and choose the right graduate program for you, and what graduate schools are looking for in an applicant. Kuther also addresses how to improve an applicant's chances of getting selected for grad
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This text guides readers through the different aspects of doing M-level work at either primary or secondary stage, & helps to develop a deeper professional understanding. Chapters include primary & secondary vignettes & examples to link theory into practice, as well as questions, activities & suggestions for further reading.
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Based on a starter course for beginning graduate students, Core Statistics provides concise coverage of the fundamentals of inference for parametric statistical models, including both theory and practical numerical computation. The book considers both frequentist maximum likelihood and Bayesian stochastic simulation while focusing on general methods applicable to a wide range of models and emphasizing the common questions addressed by the two approaches. This compact package serves as a lively introduction to the theory and tools that a beginning graduate student needs in order to make the transition to serious statistical analysis: inference; modeling; computation, including some numerics; and the R language. Aimed also at any quantitative scientist who uses statistical methods, this book will deepen readers' understanding of why and when methods work and explain how to develop suitable methods for non-standard situations, such as in ecology, big data and genomics.
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Mathematics --- Study and teaching (Graduate) --- Math --- Science
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Architecture --- Study and teaching (Graduate) --- Berlage Instituut.
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Architecture --- Study and teaching (Graduate) --- Berlage Instituut.
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