Student Guide for Shavelson Statistical Reasoning for the Behavioral Sciences


Book Description

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.




Student Guide for Shavelson Statistical Reasoning for the Behavioral Sciences


Book Description

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.




Jsl Vol 13-N5


Book Description

The Journal of School Leadership is broadening the conversation about schools and leadership and is currently accepting manuscripts. We welcome manuscripts based on cutting-edge research from a wide variety of theoretical perspectives and methodological orientations. The editorial team is particularly interested in working with international authors, authors from traditionally marginalized populations, and in work that is relevant to practitioners around the world. Growing numbers of educators and professors look to the six bimonthly issues to: deal with problems directly related to contemporary school leadership practice teach courses on school leadership and policy use as a quality reference in writing articles about school leadership and improvement.




Statistical Reasoning for the Behavioral Sciences


Book Description

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.




Reshaping the Landscape of School Leadership Development


Book Description

Reshaping the Landscape of School Leadership Development: A Global Perspective traces developments in this arena as they evolved since 1980. The book is comprised of chapters authored by the leading scholars in the fields of educational leadership and school leadership development from the United States, Canada, Europe, Asia, and Australia. The vol




Research Methods in Applied Settings


Book Description

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.







Statistical Analyses for Language Assessment Book


Book Description

This book provides language teachers with guidelines to develop suitable listening tests.







Test Scoring


Book Description

Test Scoring provides a summary of traditional true score test theory and modern item response theory related to scoring tests, as well as novel developments resulting from the integration of these approaches. The background material introduced in the first four chapters builds a foundation for the new developments covered in later chapters. These new methods offer alternative psychometric approaches to scoring complex assessments. Each of the book's contributors draws from the classic literature of traditional test theory, as well as psychometric developments of the past decade. The emphasis is on large-scale educational measurement but the topics and procedures may be applied broadly within many measurement contexts. Numerous graphs and illustrative examples based on real tests and actual data are integrated throughout. This multi-authored volume shows the reader how to combine the coded outcomes on individual test items into a numerical summary about the examinee's performance. This book is intended for researchers and students in education and other social sciences interested in educational assessment and policy, the design and development of tests, and the procedures for test administration and scoring. Prerequisites include an introduction to educational and psychological measurement and basic statistics. Knowledge of differential and integral calculus and matrix algebra is helpful but not required.