Data Analysis Interpretation And Theory In Literacy Studies Research

Novice and early career researchers often have difficulty with understanding how theory, data analysis and interpretation of findings “hang together” in a well-designed and theorized qualitative research investigation and with learning how to draw on such understanding to conduct rigorous data analysis and interpretation of their analytic results. Data Analysis, Interpretation, and Theory in Literacy Studies Research demonstrates how to design, conduct and analyze a well put together qualitative research project. Using their own successful studies, chapter authors spell out a problem area, research question, and theoretical framing, carefully explaining their choices and decisions. They then show in detail how they analyzed their data, and why they took this approach. Finally, they demonstrate how they interpreted the results of their analysis, to make them meaningful in research terms. Approaches include interactional sociolinguistics, microethnographic discourse analysis, multimodal analysis, iterative coding, conversation analysis, and multimediated discourse analysis, among others. This book will appeal to beginning researchers and to literacy researchers responsible for teaching qualitative literacy studies research design at undergraduate and graduate levels. Perfect for courses such as: Literacy Research Seminar | Introduction to Qualitative Research | Advanced Research Methods | Studying New Literacies and Media | Research Perspectives in Literacy | Discourse Analysis | Advanced Qualitative Data Analysis | Sociolinguistic Analysis | Classroom Language Research

This scholarly research Handbook aggregates the broad-ranging, interdisciplinary, multidimensional strands of writing research from scholars worldwide and brings them together into a common intellectual space. This is the first such international compilation. Now in its second edition, the Handbook inaugurates a wide scope of international research advancement, with attention to writing at all levels of schooling and in all life situations. It provides advanced surveys of scholarship on the histories of world and child writing and literacy; interconnections between writing, reading, and speech; digital writing; writing in communities; writing in the sciences and engineering; writing instruction and assessment; and writing and disability. A section on international measures for assessment of writing is a new addition to this compendium of research. This Handbook serves as a comprehensive resource for scholars, graduate students, and advanced undergraduates in writing studies and rhetoric, composition, creative expression, education, and literacy studies.

Focusing specifically on Interactional Ethnography (IE) as a distinct, discourse-based form of ethnography, this book introduces readers to the logic and practice behind IE and exemplifies the logic of ethnographic inquiry through a range of example-based chapters. Edited by two of the foremost scholars in the field of IE, this book brings together a body of work that has until now been largely dispersed. Illustrating how IE intersects with ethnographic methods – including observation, interviews, and fieldwork – the book highlights considerations relating to data analysis, researcher positionality, and the ethics of engaging participants in research. Offering examples of IE in international contexts and across a range of social science and educational settings, the book provides foundational principles and key examples of IE to guide readers’ work. This book offers researchers, scholars, and teacher educators a definitive, novel contribution to current methodological literature on IE broadly, and will be of particular use to ethnographers starting out in their career. Due to the interdisciplinary nature of the volume in illustrating the use of IE in a range of educational sub-disciplines, the book’s relevance extends to the fields of medical education, teacher education, arts and literacy research, as well as providing situated examples of IE in settings with relevance to the social sciences, anthropology, and cultural studies.

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.

In this book Peter Smagorinsky reconsiders his many publications employing Vygotsky’s theory of culturally-mediated human development and applies them, through a unified and coherent series of chapters, to literacy research. This exploration takes previously-published work and incorporates it into a new and sustained argument regarding the application of Vygotsky’s ideas to current questions regarding the nature of literacy and how to investigate it as a cultural phenomenon that contributes to human growth in social context. To conduct this inquiry, Smagorinsky first provides an overview that contextualizes Vygotsky both in his own time and in efforts to extrapolate from his Soviet origins to the 21st Century world. This consideration includes attention to the current context for literacy studies. He then reviews current conceptions of literacy in the realms of reading, writing, and additional tool use, grounding each in a Vygotskian perspective. The book’s final chapters take a critical look at both research method and the writing of research reports, taking into account both research and research reports as social constructions based in disciplinary practices. On the whole, this volume makes an important contribution to Vygotskian studies and literacy research through the author’s careful alignment between theory and practice.

Literacy researchers at all stages of their careers are designing and developing innovative new methods for analyzing data in a range of spaces in and out of school. Directly connected with evolving themes in literacy research, theory, instruction, and practices—especially in the areas of digital technologies, gaming, and web-based research; discourse analysis; and arts-based research—this much-needed text is the first to capture these new directions in one volume. Written by internationally recognized authorities whose work is situated in these methods, each chapter describes the origin of the method and its distinct characteristics; offers a demonstration of how to analyze data using the method; presents an exemplary study in which this method is used; and discusses the potential of the method to advance and extend literacy research. For literacy researchers asking how to match their work with current trends and for educators asking how to measure and document what is viewed as literacy within classrooms, this is THE text to help them learn about and use the rich range of new and emerging literacy research methods.

Different research methods can yield unique insights into literacy learning and teaching--and, used synergistically, can work together to move the field forward. Now revised and updated with 50% new material, this definitive text presents widely used methods and provides students and researchers with a clear understanding of when, how, and why they are applied. Leading authorities describe established and emerging methodologies, review the types of questions they are suited to address, and identify standards for quality. Key issues in research design are accessibly discussed. Each chapter offers one or more exemplars of high-quality published studies to illustrate the approach in action. The benefits of using multiple types of methods to more fully investigate a given question or problem are emphasized throughout. New to This Edition *Chapter on a vital new topic: critical race methodologies. *New chapters on core topics: design-based research, causal effects, ethnographic case studies, correlational designs, discourse analysis, instrument development, and verbal protocols. *Up-to-date coverage of online research methods, neuroimaging, and other rapidly evolving methodologies. *Many of the exemplary studies are new.

This book brings together authors actively involved in shaping the field of literacy studies, presenting a robust approach to the theoretical and empirical work which is currently pushing the boundaries of literacy research and also pointing to future directions for literacy research.