Statistical Analysis: T-Test and ANOVA

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Essay #: 056482
Total text length is 14,053 characters (approximately 9.7 pages).

Excerpts from the Paper

The beginning:
Statistical Analysis: T-Test and ANOVA
The appropriateness of a statistical test is determined by the following: the requirements of the research being conducted, the number of groups to be evaluated, the level of measurement of the independent and dependent variables, and the statistical and mathematical assumptions of the test (Houser, 2007, p. 428). This paper will evaluate the methodologies used in quantitative articles: "Effects of state minimum staffing standards on nursing home staffing and quality of care” (Park and Stearns, 2009), which employs t-tests among other methodologies and "Nurse staffing levels: impact of organizational characteristics and registered nurse supply" (Vaughn & Vojir, 2008), which employs ANOVA.
T-tests...
The end:
..... state minimum staffing standards on nursing home staffing and quality of care.(RESEARCH ARTICLE). Health Services Research. Health Research and Educational Trust. Retrieved December 14, 2009 from HighBeam Research: http://www.highbeam.com/doc/1G1-193244266.html
Vaughn T. and Vojir, P. (2009). Nurse staffing levels: impact of organizational characteristics and registered nurse supply.(Author abstract)." Health Services Research. Health Research and Educational Trust. Retrieved December 14, 2009 from HighBeam Research: http://www.highbeam.com/doc/1G1-174748395.html
Villeneuve, P. (2002). T-Test. Encyclopedia of Public Health. The Gale Group Inc. Retrieved December 13, 2009 from Encyclopedia.com:http://www.encyclopedia.com/doc/1G2-3404000870.