Carol Lynn Martin |
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On-going Research: Understanding School Success
(USS) (with Dr. Rick Fabes, Dr. Laura Hanish, Dr. Stacie Leonard,
and many others): This is a
federally funded project (National Institute of Child Health and
Development) involving a large-scale longitudinal study of how social
and academic experiences in preschool influence children’s transitions
into kindergarten and first grade.
Emphasis is placed on understanding the early correlates of
social, behavioral, and relational adaptation to the demands of formal
schooling. In particular,
we are interested in how sex segregation influences gender development
and later school success for girls and boys. Causes and Consequences of
Children’s Sex Segregated Play Groups (with Dr. Rick Fabes, Dr.
Laura Hanish, Dr. Stacie Leonard, and many others).
The fact that children play primarily with same-sex peers is
widely recognized but not well understood. One goal of the USS project,
is to examine the possible causes of this phenomenon and its
consequences. We focus primarily on the temperamental, cognitive, and
behavioral qualities that contribute to children’s preferences for
same-sex playmates and what effects this same-sex socialization has for
children’s development. Simulating Children’s Play
Groups (SIM) (with Dr. William Griffin (PI), Dr. Richard Fabes, Dr.
Laura Hanish, and Shana Schmidt). This
is a federally funded (National Science Foundation) study involving the
development and assessment of computer simulations of children’s play
patterns. Data will be collected about preschool children’s play
partners and their social and behavioral characteristics, and these data
will form the basis of the comparison with computer simulated models of
children’s play. Peer Networks and Connectivity (with
Dr. Helene Barcelo, Dr. Richard Fabes, Dr. Laura Hanish, Dr. Priscilla
Greenwood): Based on data
we have already collected in several large-scale studies of preschool
children’s play patterns, we are exploring how children develop peer
networks and how these networks change over time. Several different
methods of identifying networks are being examined including
mathematical procedures and theories that can identify dynamic changes
in networks and in the connectivity of children in these networks.
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