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Based on user feedback, these worksheets have been updated to exactly match the organization of the Gaze, Thinking Quantitatively, 2nd Edition eText and now complement the eText seamlessly. The worksheets guide students through the eText content, and provide a place for them to take notes directly in line with specific objectives - as well as space to practice what they've learned and to reflect on the content. 0134996399 / 9780134996394 GUIDED WORKSHEETS FOR THINKING QUANTITATIVELY: COMMUNICATING WITH NUMBERS, 2/e
"The purpose of this Quantitative Reasoning (QR) course is to provide a comprehensive overview of the quantitative skills required to cope with the practical demands of daily life, as well as preparing students for a deeper understanding of information presented in mathematical terms. Critical thinking and problem solving are an emphasis. The application of quantitative skills to decision making, requiring reasoning from evidence, enhances your students' personal, civic, and business lives. These reasoning capabilities are based upon the ability to communicate with numbers effectively, so developing quantitative literacy is a key focus"--
Learning strategies for critical thinking are a vital part of today’s curriculum as students have few additional opportunities to learn these skills outside of school environments. Therefore, it is essential that educators be given practical strategies for improving their critical thinking skills as well as methods to effectively provide critical thinking skills to their students. The Research Anthology on Developing Critical Thinking Skills in Students is a vital reference source that helps to shift and advance the debate on how critical thinking should be taught and offers insights into the significance of critical thinking and its effective integration as a cornerstone of the educational system. Highlighting a range of topics such as discourse analysis, skill assessment and measurement, and critical analysis techniques, this multi-volume book is ideally designed for teachers/instructors, instructional designers, curriculum developers, education professionals, administrators, policymakers, researchers, and academicians.
Offers teachers a collection of twenty-four ready-to-use graphic organizers to enhance student learning across subject areas and grade levels.
This work, which provides a guide for revising and expanding statistical and quantitative methods pedagogy, is useful for novice and seasoned instructors at both undergraduate and graduate levels, inspiring them to use transformative approaches to train students as future researchers. Is it time for a radical revision in our pedagogical orientation? How are we currently teaching introductory statistics and quantitative methods, and how should we teach them? What innovations are used, what is in development? This ground-breaking edited volume addresses these questions and more, providing cutting-edge guidance from highly accomplished teachers. Many current textbooks and syllabi differ in only superficial ways from those used 50 years ago, yet the field of quantitative methods—and its relationship to the research enterprise—has expanded in many important ways. A philosophical axiom underlying this book is that introductory teaching should prepare students to potentially enter more advanced quantitative methods training and ultimately to become accomplished researchers. The reader is introduced to classroom innovation, and to both pragmatic and philosophical challenges to the status quo, motivating a broad revolution in how introductory statistics and quantitative methods are taught. Designed to update and renovate statistical pedagogy, this material will stimulate students, new instructors, and experienced teachers.
This exciting new core textbook offers a clear and practical introduction to quantitative methods, taking a project-based approach. The author's extensive knowledge and straightforward writing style ensure that students are steered through the process step-by-step, from developing research questions and preparing data for analysis, to explaining how to present data in appropriate formats, avoid bias, and write up results and reports. Featuring a comprehensive pedagogical framework and companion website, readers are encouraged to follow practice analyses as they go, with examples given in both SPSS and Excel, and templates are provided for students' own research. In addition to covering the research project, chapters also cover the essential mathematical and statistical analyses that are a logical consequence of posing a quantitative research methods question. This is the perfect text for all social science students studying introductory modules on quantitative methods, research methods or statistics at undergraduate or postgraduate level. It also functions as an effective guide for undergraduate and postgraduate students faced with an independent research project.
Education.