Developmental Cascades

Erscheinungsjahr 2023
ISBN: 978-0-443-13239-1
Verlag: Elsevier Science & Technology

Buch, Englisch, Format (B × H): 152 mm x 229 mm, Gewicht: 450 g

Developmental Cascades, Volume 64 in the Advances in Child Development and Behavior series, brings together papers that share a focus on cascading influences across domains and developmental time. The contributors are leading experts in the field of developmental science in areas such as perceptual development, language development, motor development, social development, cognitive development, academic achievement, media use, and children at risk for anxiety and depression.

The papers highlight theoretical issues around processes that give rise to cascading effects of experiences in infancy, early childhood, and adolescence using a variety of methods and study designs. Together, the papers showcase the types of methods, designs, and analytic approaches that bring rigor to understanding cascades in development. This volume provides a state-of-the art collection that will appeal to researchers, clinicians, educators, policy makers, and students across disciplines relevant to the science and practice of child learning and development.

Autoren/Hrsg.

Weitere Mitwirkende

Lockman, Jeffrey J.

Tamis-LeMonda, Catherine

Fachgebiete

• Sozialwissenschaften Psychologie Allgemeine Psychologie Entwicklungspsychologie
• Sozialwissenschaften Psychologie Psychologie / Allgemeines & Theorie Psychologie: Allgemeines

Inhaltsverzeichnis

Contributors in this volume include:

Jessica A. Stern
Roberta Golinkoff
Tina Malti
Jessica Shannon Flannery
Eva H. Telzer
Lisa Michelle Oakes
Amy Work Needham
Jana M. Iverson
Michael Cunningham
Pamela E. Davis-Kean
Nicholas Edward Waters
Tracy Vaillancourt
Heather Brittain
Annie Bernier
Camille Marquis-Brideau
Melanie Dirks

Über Autor(innen)

Tamis-LeMonda, Catherine
Catherine S. Tamis-Lemonda is Professor of Developmental Psychology at New York University's Steinhardt School of Culture, Education, and Human Development, and Director of the Play and Language Lab. She applies multiple methods to the study of infants' and toddlers' developing communication, language, play, and motor skills, with a focus on developmental cascades across domains, between infants and caregivers, and over child age. Tamis-LeMonda conducts her research across cultural communities in the United States and internationally, with the goal of documenting both general principles of learning and child experiences that are best characterized by cultural specificity. Her research has been funded by the National Institute of Child Health and Development, National Institute of Mental Health, the National Science Foundation, Administration for Children and Families, the LEGO Foundation, Ford Foundation, and the Robinhood Foundation. She has over 200 publications in peer-reviewed journals and books, and is author of the 2022 textbook Child Development: Context, Culture, and Cascades (Oxford University Press). She has co-edited the volumes Child Psychology: A Handbook of Contemporary Issues (editions 1, 2, and 3), Handbook of Father Involvement: Multidisciplinary Perspectives (editions 1 and 2), and The Development of Social Cognition and Communication. She has held positions on many national and international boards, committees, societies, and journals, including serving on the Governing Council for the Society for Research on Child Development (SRCD), being President of the International Congress of Infant Studies (ICIS), and serving as Associate Editor of Infancy and Journal of Experimental Psychology: General.

Lockman, Jeffrey J.
Professor Jeffrey J. Lockman got his Ph.D at the University of Minnesota. His research interests center on perception-action and cognitive development. In his recent work, he has been studying the development of tool use in children and how it might be related to the object manipulation skills of infants. Additionally, he has been conducting work on spatial cognition in children, focusing on how children code the location of objects and object features.