Statistical models attempt to describe and quantify relationships between variables. In the models presented in this chapter, there is a response variable (sometimes called dependent variable) and at least one predictor variable (sometimes called independent or explanatory variable). When investigating a possible cause-and-effect type of relationship, the response variable is the putative effect and the predictors are the hypothesized causes. Typically, there is a main predictor variable of interest; other predictors in the model are called covariates. Unknown covariates or other independent variables not controlled in an experiment or analysis can affect the dependent or outcome variable and mislead the conclusions made from the inquiry (Bock, Velleman, & De Veaux, 2009). A p value (p) measures the statistical significance of the observed relationship; given the model, p is the probability that a relationship is seen by mere chance. The smaller the p value, the more confident we can be that the pattern seen in the data 2 is not random. In the type of models examined here, the R measures the prop- tion of the variation in the response variable that is explained by the predictors 2 specified in the model; if R is close to 1, then almost all the variation in the response variable has been explained. This measure is also known as the multiple correlation coefficient. Statistical studies can be grouped into two types: experimental and observational.

This volume brings together the perspectives of new and established scholars who have connected with the broad fields of first language (L1) and second language (L2) writing to discuss critically key methodological developments and challenges in the study of L2 writing processes. The focus is on studies of composing and of engagement with feedback on written drafts, with particular attention to methods of process-tracing through data such as concurrent or stimulated verbal reports, interviews, diaries, digital recording, visual screen capture, eye tracking, keystroke logging, questionnaires, and/or ethnographic observation. The chapters in the book illustrate how progress has been made in developing research methods and empirical understandings of writing processes, in introducing methodological innovations, and in pointing to future methodological directions. It will be an essential methodological guide for novice and experienced researchers, senior students, and educators investigating the processes of writing in additional languages.

Originally published in 1980, this title began as a set of questions posed by faculty on the campus of Carnegie-Mellon University: What do we know about how people write? What do we need to know to help people write better? This resulted in an interdisciplinary symposium on "Cognitive Processes in Writing" and subsequently this book, which includes the papers from the symposium as well as further contributions from several of the attendees. It presents a good picture of what research had shown about how people write, of what people were trying to find out at the time and what needed to be done.

The definitive reference in the field, this volume synthesizes current knowledge on writing development and instruction at all grade levels. Prominent scholars examine numerous facets of writing from sociocultural, cognitive, linguistic, neuroscience, and new literacy/technological perspectives. The volume reviews the evidence base for widely used instructional approaches, including those targeting particular components of writing. Issues in teaching specific populations--including students with disabilities and English learners--are addressed. Innovative research methods and analytic tools are clearly explained, and key directions for future investigation identified. New to This Edition *Chapters on genre instruction, evaluation and revision, argumentative writing, computer-based instruction, and professional development. *Chapters on new literacies, out-of-school writing, translation, and self-regulation. *Many new topics and authors, including more international perspectives. *Multiple chapters connect research findings to the Common Core writing standards. See also Best Practices in Writing Instruction, Third Edition, edited by Steve Graham, Charles A. MacArthur, and Michael Hebert, an accessible course text and practitioner's guide.

The definitive reference in the field, this volume synthesizes current knowledge on writing development and instruction at all grade levels. Prominent scholars examine numerous facets of writing from sociocultural, cognitive, linguistic, neuroscience, and new literacy/technological perspectives. The volume reviews the evidence base for widely used instructional approaches, including those targeting particular components of writing. Issues in teaching specific populations--including students with disabilities and English learners--are addressed. Innovative research methods and analytic tools are clearly explained, and key directions for future investigation identified. New to This Edition *Chapters on genre instruction, evaluation and revision, argumentative writing, computer-based instruction, and professional development. *Chapters on new literacies, out-of-school writing, translation, and self-regulation. *Many new topics and authors, including more international perspectives. *Multiple chapters connect research findings to the Common Core writing standards. See also the editors' Best Practices in Writing Instruction, Second Edition, an accessible course text and practitioner's guide.

An acclaimed reference that fills a significant gap in the literature, this volume examines the linkages between spoken and written language development, both typical and atypical. Leading authorities address the impact of specific language-related processes on K-12 literacy learning, with attention to cognitive, neurobiological, sociocultural, and instructional issues. Approaches to achieving optimal learning outcomes with diverse students are reviewed. The volume presents research-based practices for assessing student needs and providing effective instruction in all aspects of literacy: word recognition, reading comprehension, writing, and spelling. New to This Edition *Chapters on digital literacy, disciplinary literacy, and integrative research designs. *Chapters on bilingualism, response to intervention, and English language learners. *Incorporates nearly a decade's worth of empirical and theoretical advances. *Numerous prior edition chapters have been completely rewritten.

Observing writing: Insights from Keystroke Logging and Handwriting is a timely volume appearing twelve years after the Studies in Writing volume Computer Keystroke Logging and Writing (Sullivan & Lindgren, 2006). The 2006 volume provided the reader with a fundamental account of keystroke logging, a methodology in which a piece of software records every keystroke, cursor and mouse movement a writer undertakes during a writing session. This new volume highlights current theoretical and applied research questions in keystroke logging and handwriting research that observes writing. In this volume, contributors from a range of disciplines, including linguistics, psychology, neuroscience, modern languages, and education, present their research that considers the cognitive and socio-cultural complexities of writing texts in academic and professional settings.

Conceived as the successor to Gregg and Steinberg's Cognitive Processes in Writing, this book takes a multidisciplinary approach to writing research. The authors describe their current thinking and data in such a way that readers in psychology, English, education, and linguistics will find it readable and stimulating. It should serve as a resource book of theory, tools and techniques, and applications that should stimulate and guide the field for the next decade. The chapters showcase approaches taken by active researchers in eight countries. Some of these researchers have published widely in their native language but little of their work has appeared in English-language publications.

Eye-tracking is quickly becoming a valuable tool in applied linguistics research as it provides a 'real-time', direct measure of cognitive processing effort. This book provides a straightforward introduction to the technology and how it might be used in language research. With a strong focus on the practicalities of designing eye-tracking studies that achieve the standard of other well-established experimental techniques, it provides valuable information about building and designing studies, touching on common challenges and problems, as well as solutions. Importantly, the book looks at the use of eye-tracking in a wide variety of applied contexts including reading, listening and multi-modal input, writing, testing, corpus linguistics, translation, stylistics, and computer-mediated communication. Each chapter finishes with a simple checklist to help researchers use eye-tracking in a wide variety of language studies. Discussion is grounded in concrete examples, which will allow users coming to the technology for the first time to gain the knowledge and confidence to use it to produce high quality research.