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Thursday, September 5, 2013

Education On Health Promotion

PROBLEM parameter : During an 18 month period , the investigateer go out radiation pattern , implement and measure an HIV / back up health promotion program for inpatients in a non-profit hospital located in Los Angeles CaliforniaSUB-PROBLEM STATEMENT 1 : The research volitioninging seek to discover the beaten(pre nominated) age at which these persons assure the disease and the how much m has passed since their exposure to the virusSUB-PROBLEM STATEMENT 2 : The research will similarly seek insight into the sex distribution of the persons who are septic with the disease and ascertain the level of education they have attainedMETHODOLOGY : The research methods will include a semi- stochastic sampling achieved by making the investigate available to only patients in the hospital and then selecting those who agree to participate in the research . The research itself will entangle the issuing of questionnaires that prolong the data desire - such as length of transmitting , age at infection , and education levelEXPERIMENTAL DESIGN : The heading of the experiment will be quasi-experimental beca aim a fully random sampling will not be possible This is because although not all persons inwardly the hospital are infected , the relative incidence gait of infection is likely to be higher than the general people , as hospitals exist specifically to house the maladjusted .
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The determination will therefore take the form of a vista so it will not contain a laterality group , as no intervention will be m ade a part of the research (Trochim , 2006ST! ATISTICAL abridgment : Because several(prenominal) variables exist as parameters for this experiment , it might be adept to pair some of them in to detect correlations . The experiment would utilisation such statistical methods as the Spearman Rank correlation coefficient Coefficient and contingence tables in to juxtapose the related data in prep for analysis (Smith , n .d . It will also involve the use of basic descriptive statistics , such as smashed , average (ages and length of infection ) as well as standardised deviation in to give a soften catch up with of the correlation between age-range and infectionReferencesSmith ,(n .d . Types of data , descriptive statistics , and statistical tests for nominal data University at Buffalo . Buffalo NY . Retrieved on folk 28 , 2007 from http /www .accp .com /biosampl .pdfTrochim , W . M . K (2006 . Quasi-experimental design Research Methods Knowledge Base . vane Center for complaisant Research Methods Retrieved on Septemb er 28 from http /www .socialresearchmethods .net /kb /quasiexp .phpPAGEPAGE 2Health promotion...If you want to get a full essay, order it on our website: OrderEssay.net

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