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Essay / Research Paper Abstract
This 8 page paper provides an overview of the statistical analysis using an anova. This paper integrates a view of assessments of nonverbal communication as a basis for the anova comparison. Bibliography lists 6 sources.
Page Count:
8 pages (~225 words per page)
File: MH11_MHAnova.rtf
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non-verbal communication relative to emotions and the specific ways of assessing this hypothesis through an observational study of a subject population. This study proposal outlines the best approach for
addressing James hypothesis and underscores his viewpoint through the use of statistical analysis and an ANOVA. Over the past two decades, views of the significance of non-verbal communication
have come to the forefront of studies of social psychology. Nonverbal communication, including eye contact, physical gesturing, facial expressions and even the use of handshake, all convey messages that
are based in cultural perspectives and relate to specific social and emotional elements (Argyle, 1975; See also Argyle, 1983). Theorists have recognized that when nonverbal communication occurs across cultures,
and have also made connections between unintentional nonverbal communication and emotional expression. Problem Statement William James, in his facial feedback hypothesis,
has argued that individuals experience emotions because of specific actions, and that these actions, both intentional and unintentional, influence our own feelings (Izard, 1990). More specifically, James believed that
emotion is feeling, and so emotional expressions, including facial expressions in response to emotional changes, are manifestations of the feelings relative to emotions (Izard, 1990). James emphasized the belief
that behaviors that are expressive, specifically facial changes that occur in response to particular situations are essentially the activation of emotions (Izard, 1990). The research design to be used
in this project is quasi-experimental and quantitative, and charts will be utilized to present the data collected as well as to demonstrate projections for use in future planning for
research. The study will incorporate both descriptive and inferential statistics, and will utilize a meta-regression analysis and T-test to determine the outcomes of data collected. Independent/Dependent Variables
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