EFFICACY OF THE READING AND MOTOR PROGRAM FOR PRESCHOOLERS (RAMPP): AN INTEGRATED EARLY LITERACY & MOTOR SKILL INTERVENTION TO IMPROVE LETTER KNOWLEDGE, PHONOLOGICAL AWARENESS & FUNDAMENTAL MOTOR SKIL

该项目将具体解决早期识字和基本运动技能发展方面的延误问题，这是影响入学准备的两个重要因素(Engle&Black，2008)。它将审查学龄前儿童阅读和运动计划(RaMPP)的有效性，这是一个旨在改善儿童早期识字和基本运动技能发展的综合课程模式。两个主要的研究问题将被解决：(1)相对于正常的学前教育，RaMPP干预在多大程度上影响学龄前儿童的字母知识、语音意识和基本运动技能的发展？以及(2)儿童层面的特征(年龄、种族、性别、出勤率和少数民族语言状况)对儿童识字和运动成绩的干预效果有多大程度的影响？使用分层线性建模(HLM)的数据分析将考虑中心和教室中的数据嵌套，以检查干预对儿童识字和运动结果的影响。此外，HLM将能够评估儿童年龄、性别、种族、少数民族语言状况、课堂和治疗条件对后测结果的单独影响。描述性统计和相关统计也将包括在内。

This project will specifically address delays in early literacy and fundamental motor skill development as being two important factors that impact school readiness (Engle & Black, 2008). It will examine the effectiveness of the Reading and Motor Program for Preschoolers (RaMPP), an integrated curricula model designed to improve child outcomes in early literacy and fundamental motor skill development. Two primary research questions will be addressed: (1) To what extent does the RaMPP intervention impact letter knowledge, phonological awareness, and fundamental motor skill development of Head Start preschool children relative to Head Start business-as-usual instruction? and (2) To what extent are the intervention effects on children's literacy and motor outcomes impacted by child-level characteristics (age, race, gender, attendance, and minority language status)? The data analysis using Hierarchical Linear Modeling (HLM) will account for nesting of the data in center and classroom to examine intervention effects on child literacy and motor outcomes. Additionally HLM will enable estimation of the separate effects of child age, gender, race, minority language status, classroom, and the treatment condition on outcomes at posttest. Descriptive and correlational statistics will also be included.