Research methodology

by | Sep 27, 2021 | Homework Help

Write an argumentative essay on RESEARCH METHODOLOGY 1 (MA EDUCATION). Needs to be 16 pages. .ary was a one which had an intercept, a linear growth rate term and a quadratic term (level 1) and had maternal lexical input, language and literacy skills and depression as the significant predictors (level 2). The observed variation was positively related to diversity of maternal lexical input and maternal language and literacy skills, and negatively related to maternal depression. Maternal talkativeness was not related to growth in children’s’ vocabulary production in the study sample. Finally, the authors discuss the implications of the examination of longitudinal data from this relatively large sample of low-income families.2. Are the rates of change in children’s observed vocabulary production related to maternal communicative input, maternal education, maternal language and literacy skills, or maternal depression, controlling for child gender and birth order, maternal age, family income, and family participation in an intervention program?CES-D: The Centre for Epidemiologic Studies –Depression (CES –D. Radloff, 1977) scale, on which adults rate on a 4-point scale the frequency with which they have recently experienced 20 depressive symptomsChild Abuse Potential: An inventory was designed primarily as a screening tool for the detection of physical child abuse by protective services workers in their investigations of reported child abuse cases (Milner, 1986)CHILDES: Child Language Data Exchange System (CHILDES. MacWhinney, 2000) is a system of transcribing, coding and storing information pertaining to communication in children, notably in the form of words and gesturesEarly head start: A program within Head Start that promotes healthy prenatal outcomes, promotes healthy family functioning, and strengthens the development of infants and toddlers beginning as young as newborn infants.Individual growth modelling: This is a statistical method of analyzing data by fitting the data to various candidate models, represented as growth equations.

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