Sharon M. Ravitch, Ph.D. is a Senior Lecturer at the University of Pennsylvania’s Graduate School of Education where she is Research Co-Director at the Center for the Study of Boys’ and Girls’ Lives and a Founding Co-Director of Penn’s Inter-American Educational Leadership Network. She serves as the Principal Investigator of Semillas Digitales (Digital Seeds) a multi-year applied development research initiative in Nicaragua (http://www2.gse.upenn.edu/nicaragua/).
Ravitch’s research integrates across the fields of qualitative research, education, applied development, cultural anthropology, and human development and has four main strands: (1) Practitioner Research as a means to engendering sustainable professional and institutional development and innovation; (2) International applied development research that works from participatory and action research approaches (projects currently in the US, Nicaragua, and India); (3) Ethnographic and participatory evaluation research; and (4) Leader education and professional development.
Ravitch has published three books: Reason and Rigor: How Conceptual Frameworks Guide Research (with Matthew Riggan, Sage Publications, 2012); School Counseling Principles: Diversity and Multiculturalism (American School Counselor Association Press, 2006) and Matters of Interpretation: Reciprocal Transformation in Therapeutic and Developmental Relationships with Youth (with Michael Nakkula, Jossey-Bass, 1998).
Ravitch earned two master’s degrees from Harvard University in Human Development and Psychology and in Education and a doctorate from the University of Pennsylvania in an interdisciplinary program that combined anthropology, sociology, and education.
Nicole Mittenfelner Carl is a doctoral candidate in the teaching, learning, and leadership division at the University of Pennsylvania Graduate School of Education (PennGSE). She is Director of Impact Assessment for the Center for the Study of Boys’ and Girls’ Lives (CSBGL) and is conducting a multi-sited, multi-year participatory evaluation of the Center’s impact. Carl facilitates and teaches Youth Participatory Action Research and researches ways that schools can be more equitable and humane places as a part of her work with CSBGL. Carl is also a graduate research associate at PennGSE, where she is part of a research team that examines ways that teachers and parents can organize and act collectively as a means of educational problem-solving.
Carl has conducted qualitative research for over a decade. She has published articles about new teachers’ experiences with standardized curricula as well as about teacher activism and organizing. Her current research focus includes critical approaches to qualitative research, participatory action research, educational equity, urban education, and teacher education.
Carl is a former middle school language arts and lead teacher in the School District of Philadelphia as well as a former mentor to and supervisor of first-year teachers. Carl’s research interests stem from her experiences as an educator, and she focuses her work on ways that students, parents, and teachers can work together to address educational inequities.
Keeping the uniquely humorous and self-deprecating style that has made students across the world fall in love with Andy Field's books, Discovering Statistics Using R takes students on a journey of statistical discovery using R, a free, flexible and dynamically changing software tool for data analysis that is becoming increasingly popular across the social and behavioural sciences throughout the world.
The journey begins by explaining basic statistical and research concepts before a guided tour of the R software environment. Next you discover the importance of exploring and graphing data, before moving onto statistical tests that are the foundations of the rest of the book (for example correlation and regression). You will then stride confidently into intermediate level analyses such as ANOVA, before ending your journey with advanced techniques such as MANOVA and multilevel models. Although there is enough theory to help you gain the necessary conceptual understanding of what you're doing, the emphasis is on applying what you learn to playful and real-world examples that should make the experience more fun than you might expect.
Like its sister textbooks, Discovering Statistics Using R is written in an irreverent style and follows the same ground-breaking structure and pedagogical approach. The core material is augmented by a cast of characters to help the reader on their way, together with hundreds of examples, self-assessment tests to consolidate knowledge, and additional website material for those wanting to learn more.
Given this book's accessibility, fun spirit, and use of bizarre real-world research it should be essential for anyone wanting to learn about statistics using the freely-available R software.
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• Over 150 completed Reference examples
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• Specific examples that cover how to cite new media such as blog posts, emails, websites, online lectures, computer programs, social media and much more.
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• A Short Sample paper in APA format.
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