D. Betsy McCoach

Robert K. Gable

John P. Madura

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: Measurement, scaling, and item-writing techniques. Validity issues: collecting evidence based on instrument content. Testing the internal structure of an instrument: exploratory and confirmatory factor analyses. Measurement invariance and other advanced methods for examining internal structure. Strengthening the validity argument: relationships to external variables. Addressing reliability issues. 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.

School and Corporate Applications

Instrument Development in the Affective Domain

Ann A. O'Connell

(sponsored by the Educational Statisticians, SIG) Multilevel Modeling of Educational Data, co-edited by Ann A. O’Connell, Ed.D., and D. Betsy McCoach, Ph.D., is the next volume in the series: Quantitative Methods in Education and the Behavioral Sciences: Issues, Research and Teaching (Information Age Publishing), sponsored by the Educational Statisticians' Special Interest Group (Ed-Stat SIG) of the American Educational Research Association. 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.

Multilevel Modeling of Educational Data

Bethany A. Bell

Multilevel Modeling Methods with Introductory and Advanced Applications provides a cogent and comprehensive introduction to the area of multilevel modeling for methodological and applied researchers as well as advanced graduate students. The book is designed to be able to serve as a textbook for a one or two semester course in multilevel modeling. The topics of the seventeen chapters range from basic to advanced, yet each chapter is designed to be able to stand alone as an instructional unit on its respective topic, with an emphasis on application and interpretation. In addition to covering foundational topics on the use of multilevel models for organizational and longitudinal research, the book includes chapters on more advanced extensions and applications, such as cross-classified random effects models, non-linear growth models, mixed effects location scale models, logistic, ordinal, and Poisson models, and multilevel mediation. In addition, the volume includes chapters addressing some of the most important design and analytic issues including missing data, power analyses, causal inference, model fit, and measurement issues. Finally, the volume includes chapters addressing special topics such as using large-scale complex sample datasets, and reporting the results of multilevel designs. Each chapter contains a section called Try This!, which poses a structured data problem for the reader. We have linked our book to a website (http://modeling.uconn.edu) containing data for the Try This! section, creating an opportunity for readers to learn by doing. The inclusion of the Try This! problems, data, and sample code eases the burden for instructors, who must continually search for class examples and homework problems. In addition, each chapter provides recommendations for additional methodological and applied readings.

Multilevel Modeling Methods with Introductory and Advanced Applications

Frances A. Karnes

Del Siegle

Motivating gifted students can present a challenge for any teacher. This book is packed with strategies and helpful tips to help you motivate your gifted learners. The authors offer specific ideas for making sure that the gifted children in your classroom stay engaged and excited about learning. Although gifted students are not normally considered at risk for academic failure, the seeming lack of motivation of many academically gifted students is a continuing area of concern and frustration for many teachers, parents, and counselors. Del Siegle and D. Betsy McCoach explore crucial issues such as why some students who seem capable of outstanding performance fail to realize their potential and what causes some gifted students to be more motivated than others. This is one of the books in Prufrock Press' popular Practical Strategies Series in Gifted Education. This series offers a unique collection of tightly focused books that provide a concise, practical introduction to important topics concerning the education of gifted children. The guides offer a perfect beginner's introduction to key information about gifted and talented education. Educational Resource

Motivating Gifted Students

Scott J. Peters

Michael S. Matthews

Matthew T. McBee

Beyond Gifted Education: Designing and Implementing Advanced Academic Programs provides the first comprehensive look at designing and implementing K-12 advanced academic student programs. Written by four leading experts in the field, Beyond Gifted Education takes the concerned gifted program coordinator or school administrator 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 K-12 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.

D. Betsy McCoach

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