Statistical Reasoning for the Behavioral Sciences (3rd Edition)

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Author : Richard J. Shavelson
Genre : Education

Summary : According to Richard Shavelson, the goal of any good statistics book is for readers not only to learn the meaning of statistical concepts but also to be able to use these concepts to solve problems. This new, revised edition of Statistical Reasoning is written with a two-pronged objective: conceptual and procedural knowledge of statistics. Extensive use of verbal as well as visual exposition, and an uncommonly wide use of figures that parallel what is being explained in the text, aids the learning process and provides, in the author's words, a "motion picture of the concepts at work." In addition, the book motivates the study of statistics with research design in areas such as psychology, education, and sociology and illustrates the usefulness of statistics for research in these fields.

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Author : Bruce M. King
Genre : Psychology

Summary : Cited by more than 300 scholars, Statistical Reasoning in the Behavioral Sciences continues to provide streamlined resources and easy-to-understand information on statistics in the behavioral sciences and related fields, including psychology, education, human resources management, and sociology. Students and professionals in the behavioral sciences will develop an understanding of statistical logic and procedures, the properties of statistical devices, and the importance of the assumptions underlying statistical tools. This revised and updated edition continues to follow the recommendations of the APA Task Force on Statistical Inference and greatly expands the information on testing hypotheses about single means. The Seventh Edition moves from a focus on the use of computers in statistics to a more precise look at statistical software. The “Point of Controversy” feature embedded throughout the text provides current discussions of exciting and hotly debated topics in the field. Readers will appreciate how the comprehensive graphs, tables, cartoons and photographs lend vibrancy to all of the material covered in the text.

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Author : Urfat Anjem MIr, Sonam Joldan, Vinay Kumar, Sonia Saini
Genre : Education

Summary : The International Handbook of Research in Statistics Education provides a comprehensive, global overview of the latest research, trends, and practices in the teaching and learning of statistics. Edited by Dani Ben-Zvi, Katie Makar, and Joan Garfield, this handbook brings together leading scholars to explore foundational theories, innovative methodologies, and emerging challenges in statistics education. Covering topics such as statistical reasoning, learning trajectories, teacher development, curriculum design, and the role of technology, the book serves as a critical resource for researchers, educators, curriculum developers, and policymakers. Rich with evidence-based insights and international perspectives, it offers both theoretical depth and practical applications, making it an essential guide for advancing the field of statistics education.

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Author : Bruce M. King
Genre :

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Author : Jeffrey A. Gliner
Genre : Psychology

Summary : This text teaches readers how to plan, conduct, and write a research project and select and interpret data through its integrated approach to quantitative research methods. Although not a statistics book, students learn to master which technique to use when and how to analyze and interpret results, making them better consumers of research. Organized around the steps of conducting a research project, this book is ideal for those who need to analyze journal articles. With teaching experience in various departments, the authors know how to address the research problems faced by behavioral and social sciences students. Independent sections and chapters can be read in any order allowing for flexibility in assigning topics. Adopters applaud the book’s clarity and applied interdependent approach to research. The book emphasizes five research approaches: randomized experimental, quasi-experimental, comparative, associational, and descriptive. These five approaches lead to three kinds of research designs which lead to three groups of statistics with the same names. This consistent framework increases comprehension while avoiding confusion caused by inconsistent terminology. Numerous examples, diagrams, tables, key terms, key distinctions, summaries, applied problems, interpretation questions, and suggested readings further promote understanding. This extensively revised edition features: More examples from published research articles to help readers better understand the research process. New Research in the Real World boxes that highlight actual research projects from various disciplines. Defined key terms in the margins and interpretation questions that help readers review the material. More detailed explanations of key concepts including reliability, validity, estimation, ethical and bias concerns, data security and assumptions, power analysis , and multiple and logistic regression. New sections on mediation and moderation analysis to address the latest techniques. More coverage of quasi-experimental design and qualitative research to reflect changing practices. A new appendix on how to write about results using APA guidelines to help new researchers. Online resources available at www.routledge.com/9781138852976 that provide instructors with PowerPoints, test questions, critical thinking exercises, a conversion guide, and answers to all of the book’s problems and questions. Students will find learning objectives, annotated links to further readings and key concepts, and key terms with links to definitions. Intended for graduate research methods or design or quantitative/experimental research methods courses in psychology, education, human development, family studies, and other behavioral, social, and health sciences, some exposure to statistics and research methods is recommended.

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Author : Theodore Coladarci
Genre : Business & Economics

Summary : A statistics book specifically geared towards the education community. This book gives educators the statistical knowledge and skills necessary in everyday classroom teaching, in running schools, and in professional development pursuits. It emphasizes conceptual development with an engaging style and clear exposition. An emphasis on statistics common to local and large-scale assessment A case study approach, which models the process of data analysis, conceptualizes the learning of challenging statistical concepts, and addresses high stakes testing Step-by-step calculations for worked problems

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Author : Richard J. Shavelson
Genre :

Summary :