A Guide to R for Social and Behavioral Science Statistics is a short, accessible book for learning R. This handy guide contains basic information on statistics for undergraduates and graduate students, shown in the R statistical language using RStudio®. The book is geared toward social and behavioral science statistics students, especially those with no background in computer science. Written as a companion book to be used alongside a larger introductory statistics text, the text follows the most common progression of statistics for social scientists. The guide also serves as a companion for conducting data analysis in a research methods course or as a stand-alone R and statistics text. This guide can teach anyone how to use R to analyze data, and uses frequent reminders of basic statistical concepts to accompany instructions in R to help walk students through the basics of learning how to use R for statistics.
Provides well-organized coverage of statistical analysis and applications in biology, kinesiology, and physical anthropology with comprehensive insights into the techniques and interpretations of R, SPSS®, Excel®, and Numbers® output An Introduction to Statistical Analysis in Research: With Applications in the Biological and Life Sciences develops a conceptual foundation in statistical analysis while providing readers with opportunities to practice these skills via research-based data sets in biology, kinesiology, and physical anthropology. Readers are provided with a detailed introduction and orientation to statistical analysis as well as practical examples to ensure a thorough understanding of the concepts and methodology. In addition, the book addresses not just the statistical concepts researchers should be familiar with, but also demonstrates their relevance to real-world research questions and how to perform them using easily available software packages including R, SPSS®, Excel®, and Numbers®. Specific emphasis is on the practical application of statistics in the biological and life sciences, while enhancing reader skills in identifying the research questions and testable hypotheses, determining the appropriate experimental methodology and statistical analyses, processing data, and reporting the research outcomes. In addition, this book: • Aims to develop readers’ skills including how to report research outcomes, determine the appropriate experimental methodology and statistical analysis, and identify the needed research questions and testable hypotheses • Includes pedagogical elements throughout that enhance the overall learning experience including case studies and tutorials, all in an effort to gain full comprehension of designing an experiment, considering biases and uncontrolled variables, analyzing data, and applying the appropriate statistical application with valid justification • Fills the gap between theoretically driven, mathematically heavy texts and introductory, step-by-step type books while preparing readers with the programming skills needed to carry out basic statistical tests, build support figures, and interpret the results • Provides a companion website that features related R, SPSS, Excel, and Numbers data sets, sample PowerPoint® lecture slides, end of the chapter review questions, software video tutorials that highlight basic statistical concepts, and a student workbook and instructor manual An Introduction to Statistical Analysis in Research: With Applications in the Biological and Life Sciences is an ideal textbook for upper-undergraduate and graduate-level courses in research methods, biostatistics, statistics, biology, kinesiology, sports science and medicine, health and physical education, medicine, and nutrition. The book is also appropriate as a reference for researchers and professionals in the fields of anthropology, sports research, sports science, and physical education. KATHLEEN F. WEAVER, PhD, is Associate Dean of Learning, Innovation, and Teaching and Professor in the Department of Biology at the University of La Verne. The author of numerous journal articles, she received her PhD in Ecology and Evolutionary Biology from the University of Colorado. VANESSA C. MORALES, BS, is Assistant Director of the Academic Success Center at the University of La Verne. SARAH L. DUNN, PhD, is Associate Professor in the Department of Kinesiology at the University of La Verne and is Director of Research and Sponsored Programs. She has authored numerous journal articles and received her PhD in Health and Exercise Science from the University of New South Wales. KANYA GODDE, PhD, is Assistant Professor in the Department of Anthropology and is Director/Chair of Institutional Review Board at the University of La Verne. The author of numerous journal articles and a member of the American Statistical Association, she received her PhD in Anthropology from the University of Tennessee. PABLO F. WEAVER, PhD, is Instructor in the Department of Biology at the University of La Verne. The author of numerous journal articles, he received his PhD in Ecology and Evolutionary Biology from the University of Colorado.
Simplifying the often confusing array of software programs for fitting linear mixed models (LMMs), Linear Mixed Models: A Practical Guide Using Statistical Software provides a basic introduction to primary concepts, notation, software implementation, model interpretation, and visualization of clustered and longitudinal data. This easy-to-nav
Learn about how writing has changed--and stayed the same--over the years in this engaging book that features vivid images and examples of books, bookbinders, the Gutenberg Press, and more. Readers will learn about some of the very first examples of writing and the way computers and the Internet have changed the way writers and reporters do their jobs--from blogs, to email. The easy-to-read text, supportive glossary, and index ensure that readers learn all they can about writing from the past and the present.
Somewhat revised/expanded new edition of a problem-oriented introductory undergraduate text, the first edition of which appeared about a decade ago. The author writes with courteous clarity, and imposes only modest demands upon the mathematical skills of her readers. Problems at the end of each of t
Somewhat revised/expanded new edition of a problem-oriented introductory undergraduate text, the first edition of which appeared about a decade ago. The author writes with courteous clarity, and imposes only modest demands upon the mathematical skills of her readers. Problems at the end of each of t
A complete guide to applied research, featuring original data and detailed case studies Applied Research Methods in Public and Nonprofit Organizations takes an integrative approach to applied research, emphasizing design, data collection, and analysis. Common case studies across chapters illustrate the everyday nature of research, and practical exercises reinforce concepts across all sections of the text. The book includes forms and formats for data collection and analysis, plus writing excerpts that demonstrate results reporting and presentation. The accompanying instructor's guide features assignments, discussion questions, and exercises referenced in the book, and the authors' own data sets are available for use online. Conducting research, analyzing results, and synthesizing the findings for key stakeholders is fundamental to the study and practice of public and nonprofit management. Aligned with management curriculum for both sectors, the book focuses on the common ground these organizations share when it comes to planning, conducting, and using research in day-to-day professional activities. The original research examples presented are in the context of this shared commonality, including resource acquisition, evaluative processes, and future planning through the lens of common social policy issues facing leaders today. Topics include: The research process and applied research designs Applied research questions and literature Data collection in the field and survey research Data analysis, writing, and presentation The examples highlight intergovernmental institutions in which public service occurs, and provide expanded reach to nonprofit organizations and the networked collaborations that make up a significant portion of today's public service. For students and practitioners of public administration, public policy, and nonprofit management, Applied Research Methods in Public and Nonprofit Organizations provides a comprehensive reference to this critical skillset.
An accessible and practical approach to the design and analysis of experiments in the health sciences Design and Analysis of Experiments in the Health Sciences provides a balanced presentation of design and analysis issues relating to data in the health sciences and emphasizes new research areas, the crucial topic of clinical trials, and state-of-the- art applications. Advancing the idea that design drives analysis and analysis reveals the design, the book clearly explains how to apply design and analysis principles in animal, human, and laboratory experiments while illustrating topics with applications and examples from randomized clinical trials and the modern topic of microarrays. The authors outline the following five types of designs that form the basis of most experimental structures: Completely randomized designs Randomized block designs Factorial designs Multilevel experiments Repeated measures designs A related website features a wealth of data sets that are used throughout the book, allowing readers to work hands-on with the material. In addition, an extensive bibliography outlines additional resources for further study of the presented topics. Requiring only a basic background in statistics, Design and Analysis of Experiments in the Health Sciences is an excellent book for introductory courses on experimental design and analysis at the graduate level. The book also serves as a valuable resource for researchers in medicine, dentistry, nursing, epidemiology, statistical genetics, and public health.
Integrating data from multiple sources is essential in the age of big data, but it can be a challenging and time-consuming task. This handy cookbook provides dozens of ready-to-use recipes for using Apache Sqoop, the command-line interface application that optimizes data transfers between relational databases and Hadoop. Sqoop is both powerful and bewildering, but with this cookbook’s problem-solution-discussion format, you’ll quickly learn how to deploy and then apply Sqoop in your environment. The authors provide MySQL, Oracle, and PostgreSQL database examples on GitHub that you can easily adapt for SQL Server, Netezza, Teradata, or other relational systems. Transfer data from a single database table into your Hadoop ecosystem Keep table data and Hadoop in sync by importing data incrementally Import data from more than one database table Customize transferred data by calling various database functions Export generated, processed, or backed-up data from Hadoop to your database Run Sqoop within Oozie, Hadoop’s specialized workflow scheduler Load data into Hadoop’s data warehouse (Hive) or database (HBase) Handle installation, connection, and syntax issues common to specific database vendors
The design of this book owes much to M. David Merrill, Ph.D., who in the 70s was a professor at Brigham Young University. At the time, he was researching concepts for designing curriculum. He developed a method of designing instructional materials that used the principles of Rule Example - Practice. The term rule covered such items as a mathematical rule, a classification paradigm, a descriptive category, or other information that gives the students a rule for understanding the main concept being taught. The term example covered the criterion showing how the rule worked. The term practice gave the student a way to perform an exercise, that is, in practicing with other variations of the example to gain experience in using the rule. For Merrills principles to be effective, the example must match the practice and the governing rule. RESEARCH & THE ANALYSIS OF RESEARCH HYPOTHESES has been designed employing Merrills theories. The rule is described and defined in the portion of each unit of instruction labeled PURPOSE: The example and matching practice are described in the portion labeled OBJECTIVES: The body of the unit describes the rule in more detail giving examples as needed. Finally, there is an assignment which requires the student to put the rule into practice. The two volumes provide a basis for doing a research study which graduate students can use as a model for their thesis or dissertation. Volume 1 covers basic principles and processes for doing a research study and Volume 2 covers the five major procedures for testing research data: the z-test, the t-test, the Pearson correlation test, the Spearman correlation test and the Chi Square test. Note: Chi is pronounced Kai; the Chi-Square symbol is: ?2
Liturgical dance is a way to present, reflect, instruct, learn, study, and share religious beliefs with one’s self, within one’s worship community, and with one’s God. Such a belief is confirmed and witnessed within a variety of religious settings throughout the world from the beginning of time to this present age. However, there is a vacuum of resources that connect liturgical dance within the Christian context as a tool for religious learning within the field of religious education. With the continual rise of liturgical dance as an artistic form of expression, this book proposes that liturgical dance offers unique attributes conducive to the teaching and learning of faith and to faith formation. Kathleen S. Turner shows how liturgical dance is religious education in two very important ways: first, by addressing the power and potential liturgical dance has in nourishing the faith life of Christian congregants through means that are both educative and reflective; and second, by giving examples of how liturgical dance can be implemented as a religious-education tool within the teaching life of the church.
Better experimental design and statistical analysis make for more robust science. A thorough understanding of modern statistical methods can mean the difference between discovering and missing crucial results and conclusions in your research, and can shape the course of your entire research career. With Applied Statistics, Barry Glaz and Kathleen M. Yeater have worked with a team of expert authors to create a comprehensive text for graduate students and practicing scientists in the agricultural, biological, and environmental sciences. The contributors cover fundamental concepts and methodologies of experimental design and analysis, and also delve into advanced statistical topics, all explored by analyzing real agronomic data with practical and creative approaches using available software tools. IN PRESS! This book is being published according to the “Just Published” model, with more chapters to be published online as they are completed.
Theater has been around for many years and people still enjoy going to the theater today! In this exciting book, young readers will learn about the history of theater and the various roles that are involved, including directors, actors, and the chorus. Through examples from the past, readers learn about theaters from ancient Greece and Asia, as well as different genres and types like comedies, tragedies and Kabuki. The glossary, index, and table of contents ensure that readers have the tools they need to understand and enjoy the content.
Part of a series of specialized guides on System Center - this book provides focused guidance for deploying and customizing Service Manager, an integrated platform for automating and adapting an organization’s IT service management best practices. Led by series editor Mitch Tulloch, a team of System Center experts step you through key technical scenarios and tasks.
This book focuses on a span of statistical topics relevant to researchers who seek to conduct person-specific analysis of human data. Our purpose is to provide one consolidated resource that includes techniques from disciplines such as engineering, physics, statistics, and quantitative psychology and outlines their application to data often seen in human research. The book balances mathematical concepts with information needed for using these statistical approaches in applied settings, such as interpretative caveats and issues to consider when selecting an approach. The statistical topics covered here include foundational material as well as state-of-the-art methods. These analytic approaches can be applied to a range of data types such as psychophysiological, self-report, and passively collected measures such as those obtained from smartphones. We provide examples using varied data sources including functional MRI (fMRI), daily diary, and ecological momentary assessment data. Features: Description of time series, measurement, model building, and network methods for person-specific analysis Discussion of the statistical methods in the context of human research Empirical and simulated data examples used throughout the book R code for analyses and recorded lectures for each chapter available via a link available at www.routledge.com/9781482230598 Across various disciplines of human study, researchers are increasingly seeking to conduct person-specific analysis. This book provides comprehensive information, so no prior knowledge of these methods is required. We aim to reach active researchers who already have some understanding of basic statistical testing. Our book provides a comprehensive resource for those who are just beginning to learn about person-specific analysis as well as those who already conduct such analysis but seek to further deepen their knowledge and learn new tools.
* Coverage of all three significant .NET code generation mechanisms: Manual code generation, XSL/XML and CodeDom. * Includes a database metadata extraction tool based on SQL-92 standards. * Real solutions to the problem of protecting handcrafted code across regeneration. * Covers code generation in the broader picture of how applications are developed. * Includes real world samples for a complete middle tier and simple User Interface.
Gives students an organized, responsible and accountable way to do book report writing so that they will be encouraged and stimulated to develop an enjoyment of reading.
Part of the New Perspectives series, this text offers a case-based, problem-solving approach and innovative technology for meaningful learning of Microsoft Access 2003.
Part of the New Perspectives series, this text offers a case-based, problem-solving approach and innovative technology to make learning Microsoft Access 2003 skills both meaningful and memorable for students. Updated to include the new features of Access 2003, the text begins with the basics such as queries, forms, and reports and moves on to more advanced topics, including advanced queries, macros, Visual Basic, and more.
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