D. Betsy McCoach – författare

Seeking a more comprehensive vision for gifted education, this book offers a modern vision of programs and services for gifted and talented students. Beyond Gifted Education: Designing and Implementing Advanced Academic Programs provides the first comprehensive look at designing and implementing advanced academic student programs.Written by four leading experts in the field, Beyond Gifted Education reviews the current range of traditional gifted education practices and policies. Then, the book offers the concerned gifted program coordinator or school administrator a more expansive approach to educating gifted learners. The authors lead readers through the process of identifying needs, responding with programming, and then finding students who are well-suited for and would benefit from advanced academic programming. Detailed examples walk the reader through real-world scenarios and programs common to the gifted coordinator on topics such as cluster grouping, acceleration, and increasing diversity. Throughout the book, connections are made to Common Core State Standards, Response to Intervention, and a wealth of outside research in order to support ideas.

Seeking a more comprehensive vision for gifted education, this book offers a modern vision of programs and services for gifted and talented students. Beyond Gifted Education: Designing and Implementing Advanced Academic Programs provides the first comprehensive look at designing and implementing advanced academic student programs.Written by four leading experts in the field, Beyond Gifted Education reviews the current range of traditional gifted education practices and policies. Then, the book offers the concerned gifted program coordinator or school administrator a more expansive approach to educating gifted learners. The authors lead readers through the process of identifying needs, responding with programming, and then finding students who are well-suited for and would benefit from advanced academic programming. Detailed examples walk the reader through real-world scenarios and programs common to the gifted coordinator on topics such as cluster grouping, acceleration, and increasing diversity. Throughout the book, connections are made to Common Core State Standards, Response to Intervention, and a wealth of outside research in order to support ideas.

Whether the concept being studied is job satisfaction, self-efficacy, or student motivation, values and attitudes--affective characteristics--provide crucial keys to how individuals think, learn, and behave. And not surprisingly, as measurement of these traits gains importance in the academic and corporate worlds, there is an ongoing need for valid, scientifically sound instruments. 

For those involved in creating self-report measures, the completely updated Third Edition of Instrument Development in the Affective Domain balances the art and science of instrument development and evaluation, covering both its conceptual and technical aspects. The book is written to be accessible with the minimum of statistical background, and reviews affective constructs from a measurement standpoint. Examples are drawn from academic and business settings for insights into design as well as the relevance of affective measures to educational and corporate testing. This systematic analysis of all phases of the design process includes:  

As a graduate course between covers and an invaluable professional tool, the Third Edition of Instrument Design in the Affective Domain will be hailed as a bedrock resource by researchers and students in psychology, education, and the social sciences, as well as human resource professionals in the corporate world.

Using simple and direct language, this concise text provides practical guidance on a wide range of modeling methods and techniques for use with quantitative data. It covers:

·       2-level Multilevel Models

·       Structural Equation Modeling (SEM)

·       Longitudinal Modeling using multilevel and SEM techniques

·       Combining organizational and longitudinal models

Part of The SAGE Quantitative Research Kit, this book will give you the know-how and confidence needed to succeed on your quantitative research journey.

Using simple and direct language, this concise text provides practical guidance on a wide range of modeling methods and techniques for use with quantitative data. It covers:

·       2-level Multilevel Models

·       Structural Equation Modeling (SEM)

·       Longitudinal Modeling using multilevel and SEM techniques

·       Combining organizational and longitudinal models

Part of The SAGE Quantitative Research Kit, this book will give you the know-how and confidence needed to succeed on your quantitative research journey.

(sponsored by the Educational Statisticians, SIG)

The use of multilevel analyses to examine effects of groups or contexts on individual outcomes has burgeoned over the past few decades. Multilevel modeling techniques allow educational researchers to more appropriately model data that occur within multiple hierarchies (i.e.- the classroom, the school, and/or the district). Examples of multilevel research problems involving schools include establishing trajectories of academic achievement for children within diverse classrooms or schools or studying school-level characteristics on the incidence of bullying. Multilevel models provide an improvement over traditional single-level approaches to working with clustered or hierarchical data; however, multilevel data present complex and interesting methodological challenges for the applied education research community.

In keeping with the pedagogical focus for this book series, the papers this volume emphasize applications of multilevel models using educational data, with chapter topics ranging from basic to advanced. This book represents a comprehensive and instructional resource text on multilevel modeling for quantitative researchers who plan to use multilevel techniques in their work, as well as for professors and students of quantitative methods courses focusing on multilevel analysis. Through the contributions of experienced researchers and teachers of multilevel modeling, this volume provides an accessible and practical treatment of methods appropriate for use in a first and/or second course in multilevel analysis. A supporting website links chapter examples to actual data, creating an opportunity for readers to reinforce their knowledge through hands-on data analysis. This book serves as a guide for designing multilevel studies and applying multilevel modeling techniques in educational and behavioral research, thus contributing to a better understanding of and solution for the challenges posed by multilevel systems and data.