Accounting for variations in parental speech and gesture

描述（由申请人提供）：拟议的项目将提供母亲与幼儿交流的详细描述，并将调查这种交流输入的变化预测因素。参与者包括65对反映芝加哥地区人口统计数据的母子对，以及40对来自儿童缺血性单侧脑损伤家庭的母子对。这些数据来自母亲与孩子互动的录像带，以及母亲在关于语言和感知技能、抑郁和儿童发展知识的问卷调查中的回答。两岁半儿童的母子互动录像将被转录为口头互动，并被编码为手势使用。相关分析将检验母亲的言语和非言语措施之间的关系。多元回归分析将调查语言和非语言交流的潜在预测因素（即语言/空间技能，抑郁，儿童发展知识），控制儿童因素。个体成长模型技术将确定在孩子30至54个月之间，母亲的语言和非语言测量是否会随着时间的推移而发生重大变化。最后，方差分析将用于比较两组父母的输入措施。

DESCRIPTION (provided by applicant): The proposed project will provide a detailed description of the communication that mothers use with their young children, and will investigate predictors of variation in this communicative input. The participants consist of 65 mother-child dyads chosen to reflect the demographics of the Chicago area, and 40 dyads from families where children have ischemic unilateral brain injury. The data come from videotapes of mother-child interaction, and maternal responses on questionnaires regarding verbal and perceptual skills, depression, and knowledge about child development. Mother-child videotaped interaction at child age 21/2 years will be transcribed for verbal interaction and coded for gesture use. Correlational analyses will examine the relationship between maternal verbal and nonverbal measures. Multiple regression analyses will investigate potential predictors (i.e., verbal/spatial skills, depression, knowledge of child development) of verbal and nonverbal communication, controlling for child factors. Individual growth modeling techniques will determine if there is significant change over time in maternal verbal and nonverbal measures between child age 30 and 54 months. Finally, analysis of variance will be used to compare the two groups of parents on input measures.