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Data Management in Large-Scale Education Research
Research data management is becoming more complicated.Researchers are collecting more data, using more complex technologies, all the while increasing the visibility of our work with the push for data sharing and open science practices.Ad hoc data management practices may have worked for us in the past, but now others need to understand our processes as well, requiring researchers to be more thoughtful in planning their data management routines. This book is for anyone involved in a research study involving original data collection.While the book focuses on quantitative data, typically collected from human participants, many of the practices covered can apply to other types of data as well.The book contains foundational context, instructions, and practical examples to help researchers in the field of education begin to understand how to create data management workflows for large-scale, typically federally funded, research studies.The book starts by describing the research life cycle and how data management fits within this larger picture.The remaining chapters are then organized by each phase of the life cycle, with examples of best practices provided for each phase.Finally, considerations on whether the reader should implement, and how to integrate those practices into a workflow, are discussed. Key Features:Provides a holistic approach to the research life cycle, showing how project management and data management processes work in parallel and collaborativelyCan be read in its entirety, or referenced as needed throughout the life cycleIncludes relatable examples specific to education researchIncludes a discussion on how to organize and document data in preparation for data sharing requirementsContains links to example documents as well as templates to help readers implement practices
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Using Statistics in Small-Scale Language Education Research : Focus on Non-Parametric Data
Assuming no familiarity with statistical methods, this text for language education research methods and statistics courses provides detailed guidance and instruction on principles of designing, conducting, interpreting, reading, and evaluating statistical research done in classroom settings or with a small number of participants.While three different types of statistics are addressed (descriptive, parametric, non-parametric) the emphasis is on non-parametric statistics because they are appropriate when the number of participants is small and the conditions for use of parametric statistics are not satisfied.The emphasis on non-parametric statistics is unique and complements the growing interest among second and foreign language educators in doing statistical research in classrooms.Designed to help students and other language education researchers to identify and use analyses that are appropriate for their studies, taking into account the number of participants and the shape of the data distribution, the text includes sample studies to illustrate the important points in each chapter and exercises to promote understanding of the concepts and the development of practical research skills.Mathematical operations are explained in detail, and step-by-step illustrations in the use of R (a very powerful, online, freeware program) to perform all calculations are provided. A Companion Website extends and enhances the text with PowerPoint presentations illustrating how to carry out calculations and use R; practice exercises with answer keys; data sets in Excel MS-DOS format; and quiz, midterm, and final problems with answer keys.
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Multi-Function Kitchen Baking Scale Pink Heart-shaped Portable High-Precision Digital Scale 5kg/1g
Multi-Function Kitchen Baking Scale Pink Heart-shaped Portable High-Precision Digital Scale 5kg/1g
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Pink Heart Mini Electronic Digital Scales Kitchen Scale Accurate Gram Weighing Baking Scale 2000g/0.1g
For order over USD100, we will send by DHL or Fedex free,no extra cost. Name: Electronic scale;Size: 185*168*35 MM;Packing: retail carton;Applicable season: spring, summer, autumn, winter; if any questions, please don't hesitate to contact us by message on line. May we have nice and long term cooperation, Welcome to wholesale and retail..syi
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Understanding Case Study Research : Small-scale Research with Meaning
Written in an accessible and jargon-free style, this book provides a comprehensive, student-friendly guide to the nature and use of case study research. Whether as part of a more substantial study or as the foundation for a self-contained smaller project, case studies provide viable and valuable alternatives to conducting large-scale research.Grounded in both theory and practice, this book sets out not only the key debates and ethical issues surrounding case study research, but also focuses specifically on the work of others and how you can understand, use, and write about secondary data as the basis for your own research project.With tips, examples, and extensive discussion of real-world case studies from a variety of social science and other disciplines, Tight illustrates the kinds of research to which case studies can be applied.Topics include: Types of case studiesAdvantages and disadvantages to using case studiesThe meaning and value of case study research The use of case studies in different disciplines and research designs Whether you want to know how to access and use the case studies of others or understand the methods behind conducting your own case study research, this book will take you through every step of the process!
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Pioneering Progress : American Science, Technology, and Innovation Policy
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Handbook of Research on Science Teacher Education
This groundbreaking handbook offers a contemporary and thorough review of research relating directly to the preparation, induction, and career long professional learning of K–12 science teachers. Through critical and concise chapters, this volume provides essential insights into science teacher education that range from their learning as individuals to the programs that cultivate their knowledge and practices.Each chapter is a current review of research that depicts the area, and then points to empirically based conclusions or suggestions for science teacher educators or educational researchers.Issues associated with equity are embedded within each chapter.Drawing on the work of over one hundred contributors from across the globe, this handbook has 35 chapters that cover established, emergent, diverse, and pioneering areas of research, including: Research methods and methodologies in science teacher education, including discussions of the purpose of science teacher education research and equitable perspectives; Formal and informal teacher education programs that span from early childhood educators to the complexity of preparation, to the role of informal settings such as museums; Continuous professional learning of science teachers that supports building cultural responsiveness and teacher leadership; Core topics in science teacher education that focus on teacher knowledge, educative curricula, and working with all students; and Emerging areas in science teacher education such as STEM education, global education, and identity development. This comprehensive, in-depth text will be central to the work of science teacher educators, researchers in the field of science education, and all those who work closely with science teachers.
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Exploring Rating Scale Functioning for Survey Research
Items with ordered response categories are common in survey research, such as when respondents are asked how much they agree with certain statements.But how large are the differences between categories of response, and how well do they distinguish between respondents?This volume is the first to introduce the evaluation of rating scales to an audience of survey researchers.Evaluating Rating Scale Functioning for Survey Research provides researchers with an overview of rating scale analysis along with practical guidance on how to conduct such analyses with their own survey data.Author Stefanie A. Wind presents three categories of methods: Rasch models; non-Rasch Item Response Theory (IRT) models; and non-parametric models, together with practical examples.Tutorials, datasets, and software code (R and Facets) to accompany the book are available on the book’s website.
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