Curriculum Today

Author: David G. Armstrong
Category: Teaching Methods & Materials - General
ISBN: 9780130938855
Format : Paperback
Publisher : Prentice Hall

Min Price: 52.00 Max Price: 161.00

Curriculum work is a complex and sophisticated endeavor. This authoritative new book explores the subject not only by examining the theoretical foundations and principles of curriculum development, but also by considering its political context and the collaborative nature of much of curriculum work. It also provides numerous practical ideas for engaging in the work of curriculum development and implementation. Comprehensive and scholarly, it explores influences from history and tradition, learning theory, philosophy, and sociology; introduces validated approaches to design and prioritizing; offers guidelines for assessing documents; and provides a wealth of information on implementation. For teachers of Kindergarten through 12th grade, and other school personnel with classroom curriculum input.

Curriculum Today ( ISBN 9780130938855 )

Abraxus Books

Seattle, WA, U.S.A.
Price : 70 USD
Here is a much-needed professional book that will instruct readers in the many new methodologies now at their disposal to make the best use of longitudinal data. This book explains how to select an appropriate method given a research question, including how to use both individual growth modeling and survival analysis. Throughout the chapters, the authors employ many cases and examples from a variety of disciplines, covering multilevel models, curvilinear and discontinuous change, in addition to discrete-time hazard models, continuous-time event occurrence, and Cox regression models. Using Longitudinal Data is a unique contribution to the literature on research methods and will be useful to a wide range of behavioral and social science researchers.

Curriculum Today ( ISBN 9780130938855 )

Browns Books

Hull, AB, United Kingdom
Price : 82 USD
Change is constant in everyday life. Infants crawl and then walk, children learn to read and write, teenagers mature in myriad ways; the elderly become frail and forgetful. In addition to these natural changes, targeted interventions may cause change: cholesterol levels may decline as a result of a new medication, exam grades may rise following completion of a coaching class. By measuring and charting changes like these - both naturalistic and experimentally induced - researchers uncover the temporal nature of development. The investigation of change has fascinated empirical researchers for generations, and to do it well, they must have longitudinal data. "Applied Longitudinal Data Analysis" is a much-needed professional book that will instruct readers in the many new methodologies, now at their disposal to make the best use of longitudinal data, including both individual growth modelling and survival analysis. Throughout the chapters, the authors employ many cases and examples from a variety of disciplines, covering multilevel models, curvilinear and discontinuous change, in addition to discrete-time hazard models, continuous-time event occurrence, and Cox regression models. "Applied Longitudinal Data Analysis" is a unique contribution to the literature on research methods and will be useful to a wide range of behavioural and social science researchers. Browns Books - selling books online since 1999 hardcover

Curriculum Today ( ISBN 9780130938855 )

Blackwell Online

Oxford, OX, United Kingdom
Price : 89 USD
*** NEW COPY *** TITLE SHIPPED FROM UK *** Pages: 644, 1 A Framework for Investigating Change over Time 32 Exploring Longitudinal Data on Change 163 Introducing the Multilevel Model for Change 454 Doing Data Analysis with the Multilevel Model for Change 755 Treating TIME More Flexibly 1386 Modeling Discontinuous and Nonlinear Change 1897 Examining the Multilevel Model's Error Covariance Structure 2438 Modeling Change Using Covariance Structure Analysis 2669 A Framework for Investigating Event Occurrence 30510 Describing Discrete-Time Event Occurrence Data 32511 Fitting Basic Discrete-Time Hazard Models 35712 Extending the Discrete-Time Hazard Model 40713 Describing Continuous-Time Event Occurrence Data 46814 Fitting Cox Regression Models 50315 Extending the Cox Regression Model 543 Notes 607 References 613 Index 627

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