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Introduction to Modern Modelling Methods
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.
The Reviewer’s Guide to Quantitative Methods in the Social Sciences
Designed for reviewers of research manuscripts and proposals in the social and behavioral sciences, and beyond, this title includes chapters that address traditional and emerging quantitative methods of data analysis.
Instrument Development in the Affective Domain
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 minim...
Beyond Gifted Education
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.
Critical Issues and Practices in Gifted Education
Critical Issues and Practices in Gifted Education is the definitive reference for a summary and evaluation of the literature on giftedness, gifted education, and talent development. This third edition: Presents more than 40 summaries of important topics in the field. Features updates to all topics. Introduces new topics, including neuroscience and the roles of leaders in the field. Dives into the latest research. Explores how the research applies to gifted education and the lives of gifted learners. This book also provides an objective assessment of the available knowledge on each topic, offers guidance in the application of the research, and suggests areas of needed research.
Motivating Gifted Students
Presents practical strategies for developing appropriate curriculum for accelerated gifted children, explaining how acceleration can be employed in all classroom levels and subject areas.
Applied Quantitative Analysis in Education and the Social Sciences
The mission of this book is to address advances in quantitative methods that are not covered in other texts, such as item response theory, the family of multilevel models (including cross-classified and growth), and mixture modeling.
Big Data Meets Survey Science
Offers a clear view of the utility and place for survey data within the broader Big Data ecosystem This book presents a collection of snapshots from two sides of the Big Data perspective. It assembles an array of tangible tools, methods, and approaches that illustrate how Big Data sources and methods are being used in the survey and social sciences to improve official statistics and estimates for human populations. It also provides examples of how survey data are being used to evaluate and improve the quality of insights derived from Big Data. Big Data Meets Survey Science: A Collection of Innovative Methods shows how survey data and Big Data are used together for the benefit of one or more ...
Growth Modeling
Growth models are among the core methods for analyzing how and when people change. Discussing both structural equation and multilevel modeling approaches, this book leads readers step by step through applying each model to longitudinal data to answer particular research questions. It demonstrates cutting-edge ways to describe linear and nonlinear change patterns, examine within-person and between-person differences in change, study change in latent variables, identify leading and lagging indicators of change, evaluate co-occurring patterns of change across multiple variables, and more. User-friendly features include real data examples, code (for Mplus or NLMIXED in SAS, and OpenMx or nlme in...
