Design and Analysis in Educational Research Using jamovi


Book Description

Design and Analysis in Educational Research Using jamovi is an integrated approach to learning about research design alongside statistical analysis concepts. Strunk and Mwavita maintain a focus on applied educational research throughout the text, with practical tips and advice on how to do high-quality quantitative research. Based on their successful SPSS version of the book, the authors focus on using jamovi in this version due to its accessibility as open source software, and ease of use. The book teaches research design (including epistemology, research ethics, forming research questions, quantitative design, sampling methodologies, and design assumptions) and introductory statistical concepts (including descriptive statistics, probability theory, sampling distributions), basic statistical tests (like z and t), and ANOVA designs, including more advanced designs like the factorial ANOVA and mixed ANOVA. This textbook is tailor-made for first-level doctoral courses in research design and analysis. It will also be of interest to graduate students in education and educational research. The book includes Support Material with downloadable data sets, and new case study material from the authors for teaching on race, racism, and Black Lives Matter, available at www.routledge.com/9780367723088.




Learning Statistics with R


Book Description

"Learning Statistics with R" covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software and adopting a light, conversational style throughout. The book discusses how to get started in R, and gives an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book. For more information (and the opportunity to check the book out before you buy!) visit http://ua.edu.au/ccs/teaching/lsr or http://learningstatisticswithr.com




Statistical Methods for Experimental Research in Education and Psychology


Book Description

This book focuses on experimental research in two disciplines that have a lot of common ground in terms of theory, experimental designs used, and methods for the analysis of experimental research data: education and psychology. Although the methods covered in this book are also frequently used in many other disciplines, including sociology and medicine, the examples in this book come from contemporary research topics in education and psychology. Various statistical packages, commercial and zero-cost Open Source ones, are used. The goal of this book is neither to cover all possible statistical methods out there nor to focus on a particular statistical software package. There are many excellent statistics textbooks on the market that present both basic and advanced concepts at an introductory level and/or provide a very detailed overview of options in a particular statistical software programme. This is not yet another book in that genre. Core theme of this book is a heuristic called the question-design-analysis bridge: there is a bridge connecting research questions and hypotheses, experimental design and sampling procedures, and common statistical methods in that context. Each statistical method is discussed in a concrete context of a set of research question with directed (one-sided) or undirected (two-sided) hypotheses and an experimental setup in line with these questions and hypotheses. Therefore, the titles of the chapters in this book do not include any names of statistical methods such as ‘analysis of variance’ or ‘analysis of covariance’. In a total of seventeen chapters, this book covers a wide range of topics of research questions that call for experimental designs and statistical methods, fairly basic or more advanced.







Doing Qualitative Research in a Digital World


Book Description

While some qualitative methods texts touch upon online communities as a potential data source, show how to conduct interviews and focus groups online, or select recording devices and analysis software, no book to date has guided readers in the creation of a comprehensive digital workflow for their research. By working through each chapter in this book, readers will be able to generate a unique digital workflow for designing and implementing their research. The book provides a deep exploration of the relationship between theories of technology, substantive theories, and methodological theory, and shows how together these inform the development of a quality research design. The authors include vignettes—narratives written by qualitative researchers describing cutting-edge use of digital tools and spaces—and also give examples of published studies, which together provide practical illustration of the content. Woven throughout is explicit attention to ethical challenges that are likely to be faced by researchers when adopting digital tools. The book invites readers to engage in a critical appraisal of the role of technology in qualitative research through reflection, conversation, and engagement with the larger community of researchers.







Introduction to the New Statistics


Book Description

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.




Methods of Meta-Analysis


Book Description

Covering the most important developments in meta-analysis from 1990 to 2004, this text presents new patterns in research findings as well as updated information on existing topics.




Human Development


Book Description

For courses in Lifespan Development Help students understand how culture impacts development -- and why it matters Human Development: A Cultural Approach leads students to examine all stages of development through the engaging lens of culture. Jeffrey Jensen Arnett and new coauthor Lene Arnett Jensen integrate cross-cultural examples throughout the narrative to reveal the impact of cultural factors both in the US and around the world. The 3rd Edition includes thoroughly updated research and data for a learning experience that best prepares students to face challenges in our diverse and globalized world -- whether they travel the globe or remain in their hometowns. Human Development: A Cultural Approach, 3rd Edition is also available via Revel(tm), an interactive learning environment that enables students to read, practice, and study in one continuous experience.




Digital Literacy and Inclusion


Book Description

Amid the opportunities and challenges we face at the dawn of the fifth industrial revolution, Digital Literacy and Inclusion presents a carefully curated selection of case studies, theories, research, and best practices based on digital literacy as a prerequisite for effective digital inclusion. More than a dozen experts provide deep insights in stories, research reports, and geographical studies of digital literacy and inclusion models, all from a multi-disciplinary perspective that includes engineering, social sciences, and education. Digital Literacy and Inclusion also highlights a showcase of real-world digital literacy initiatives that have been adopted by communities of practice around the globe. Contributors explore myriad aspects and modalities of digital literacy: digital skills related to creativity, urban data literacy, digital citizenship skills, digital literacy in education, connectivity literacy, online safety skills, problem-solving and critical-thinking digital skills, data literacy skills, mobile digital literacy, algorithmic digital skills, digital health skills, etc. They share the principles and techniques behind successful initiatives and examine the dynamics and structures that enable communities to achieve digital literacy efficiently and sustainably. Their practical solutions, propositions, and findings provide theoretically grounded and evidence-based facts that inform interventions intended to ensure that all citizens have and can enhance their digital literacy while meaningfully and responsibly participating in the digital economy and society. The ideas and histories in this book will appeal to scholars and researchers in the social sciences, engineering, education, sustainable digital technologies, and transformation, and will also be of interest to practitioners in industry, policy, and government.