Realism and Psychological Science, Maree David J. F.
Автор: Gordon Sammut, et al. Название: The Cambridge Handbook of Social Representations ISBN: 1316635686 ISBN-13(EAN): 9781316635681 Издательство: Cambridge Academ Рейтинг: Цена: 9662.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This Handbook provides the theoretical and methodological tools for adopting a social representations approach in field research. Scholars, researchers and students in the social sciences will find it an invaluable resource for understanding contemporary social psychological concerns such as the development of identities, communities and narratives.
Автор: Staddon, John Название: Scientific method ISBN: 1138295361 ISBN-13(EAN): 9781138295360 Издательство: Taylor&Francis Рейтинг: Цена: 8114.00 р. Наличие на складе: Нет в наличии.
Описание: Scientific Method demonstrates, through concrete historical examples, the ways in which scientific method is practiced in a range of social science fields.
Автор: Viney Wayne Название: Neglected Perspectives on Science and Religion ISBN: 1138284750 ISBN-13(EAN): 9781138284753 Издательство: Taylor&Francis Рейтинг: Цена: 19140.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book explores historical and contemporary relations between science and religion, providing new perspectives on familiar topics.
Автор: Mark Wilson; William P. Fisher, Jr. Название: Psychological and Social Measurement ISBN: 3319673033 ISBN-13(EAN): 9783319673035 Издательство: Springer Рейтинг: Цена: 10976.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In this tribute to Benjamin Wright, former students and colleagues recall the foundational contributions he made to the theory and practice of measurement in a career spanning over five decades.
Описание: This book aims to understand human cognition and psychology through a comprehensive computational theory of the human mind, namely, a computational "cognitive architecture" (or more specifically, the CLARION cognitive architecture). The goal of this work is to develop a unified framework for understanding the human mind, and within the unified framework, to develop process-based, mechanistic explanations of a large variety of psychological phenomena. Specifically, the book first describes the essential CLARION framework and its cognitive-psychological justifications, then its computational instantiations, and finally its applications to capturing, simulating, and explaining various psychological phenomena and empirical data. The book shows how the models and simulations shed light on psychological mechanisms and processes through the lens of a unified framework. In fields ranging from cognitive science, to psychology, to artificial intelligence, and even to philosophy, researchers, graduate and undergraduate students, and practitioners of various kinds may have interest in topics covered by this book. The book may also be suitable for seminars or courses, at graduate or undergraduate levels, on cognitive architectures or cognitive modeling (i.e. computational psychology).
Автор: Cumming, Geoff. Название: Introduction to the New Statistics ISBN: 1138825522 ISBN-13(EAN): 9781138825529 Издательство: Taylor&Francis Рейтинг: Цена: 9951.00 р. Наличие на складе: Нет в наличии.
Описание: This is the first introductory statistics text to use an estimation approach from the start to help readers understand effect sizes, confidence intervals (CIs), and meta-analysis (‘the new statistics’). It is also the first text to explain the new and exciting Open Science practices, which encourage replication and enhance the trustworthiness of research. In addition, the book explains NHST fully so students can understand published research. Numerous real research examples are used throughout. The book uses today’s most effective learning strategies and promotes critical thinking, comprehension, and retention, to deepen users’ understanding of statistics and modern research methods. The free ESCI (Exploratory Software for Confidence Intervals) software makes concepts visually vivid, and provides calculation and graphing facilities. The book can be used with or without ESCI. Other highlights include: - Coverage of both estimation and NHST approaches, and how to easily translate between the two. - Some exercises use ESCI to analyze data and create graphs including CIs, for best understanding of estimation methods. -Videos of the authors describing key concepts and demonstrating use of ESCI provide an engaging learning tool for traditional or flipped classrooms. -In-chapter exercises and quizzes with related commentary allow students to learn by doing, and to monitor their progress. -End-of-chapter exercises and commentary, many using real data, give practice for using the new statistics to analyze data, as well as for applying research judgment in realistic contexts. -Don’t fool yourself tips help students avoid common errors. -Red Flags highlight the meaning of "significance" and what p values actually mean. -Chapter outlines, defined key terms, sidebars of key points, and summarized take-home messages provide a study tool at exam time. -http://www.routledge.com/cw/cumming offers for students: ESCI downloads; data sets; key term flashcards; tips for using SPSS for analyzing data; and videos. For instructors it offers: tips for teaching the new statistics and Open Science; additional homework exercises; assessment items; answer keys for homework and assessment items; and downloadable text images; and PowerPoint lecture slides. Intended for introduction to statistics, data analysis, or quantitative methods courses in psychology, education, and other social and health sciences, researchers interested in understanding the new statistics will also appreciate this book. No familiarity with introductory statistics is assumed.
Автор: Yin Robert K. Название: Qualitative Research from Start to Finish ISBN: 1462521347 ISBN-13(EAN): 9781462521340 Издательство: Taylor&Francis Рейтинг: Цена: 13779.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book will help readers understand the practice of qualitative research--whether they want to do it, teach it, or just learn about it. All the major research phases are encompassed (startup, design, data collection, analysis, and composing), including newly emerging trends. Numerous easy-to-read vignettes show how other scholars have successfully implemented specific procedures. Equally distinctive, the book presents qualitative research as an adaptive craft. The array of choices among different procedures and methods enables readers to customize their own studies and to accommodate different worldviews and genres.
New to This Edition: *Stronger discussion of different worldviews (e.g., constructivism, postpositivism, and pragmatism) and how they relate to different methodological choices. *Clearer emphasis on doing a generalized qualitative study, while acknowledging 12 specialized genres (e.g., action-based research, arts-based research, autoethnography, grounded theory, phenomenology, and others). *Expanded discussions of different kinds of qualitative study samples and of mixed methods. *New ideas on how to avoid getting stalled when analyzing qualitative data. *Consideration of an additional way of concluding a qualitative study: by taking action.
Pedagogical Features *Chapters start with an abstract and end with a suggested exercise. *Key terms and concepts appear in boldface throughout the text and are listed in end-of-chapter recaps as well as in the book's glossary. *Sections within each chapter start with a preview box: "What you should learn from this section." *An appendix presents a semester- or yearlong field-based project.
Автор: Bradley Efron and Trevor Hastie Название: Computer Age Statistical Inference ISBN: 1107149894 ISBN-13(EAN): 9781107149892 Издательство: Cambridge Academ Рейтинг: Цена: 9029.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
