Papers on "Technology and Healthy Eating" and similar term paper topics
Paper #099438 ::
Technology and Healthy Eating
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This paper offers a critique of the article: 'Using technology to promote self-efficacy for healthy eating in adolescents' by J.D. Long & K.R. Stevens.
Written in 2007; 2,910 words; 1 source; MLA;
$ 86.95
Paper Summary:
In this article, the writer notes that the ability to critically assess a journal article is central to the skills required for advanced nursing. This paper presents a detailed critique of the nursing article "Using Technology to Promote Self-Efficacy for Healthy Eating in Adolescents", by nursing professors JoAnne D. Long and Kathleen R. Stevens. Critique details are broken down into the following sections: introduction, methodology and results.
Outline:
Problem statement
Literature review and theoretical framework
Hypothesis/Variables
Methodology
Design
Threats to internal and external validity
Subjects
Data collection methods/instrumentation
Results
Findings
Interpretation/Conclusions
From the Paper:
"Threats to internal validity normally are perceived as selection, history, maturation, testing, and instrumentation. Selection threats suggest that those who participated in the control or intervention group have characteristics that differ from those who were not included in the study. There is a possible selection bias given that student were from a school in an undisclosed area of the country, it is unknown whether these were rural or urban youth, from a public or private school or what other variables might affect their level of nutritional, health or independence awareness. History, or the events that happen to students during the course of the study which might affect results, could not be accounted for as all intervention took place in the school setting. Researchers acknowledged they were unable to control for social or family interventions that might run counter to their study goals. Instrumentation, maturation, dropout, and order effects were controlled by researchers directly or through statistical analysis for variance."
Tags:
study diet obese food consumption
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