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Descriptive Quantitative Cross Sectional Study - Advantages and Disadvantages | Data Analysis Assignment Help

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Why Choosing Descriptive Quantitative Cross Sectional Study - Advantages and Disadvantages | Data Analysis Assignment Help

Descriptive cross-sectional study design will be used in this research. It is a descriptive epidemiologic study wherein the status of the disease on the population is determined at any point in time (Sonis, 2014) and helps determine the relationship between the chosen disease and other variables of interest (Ferguson et al., 2015). A large number of variables can be examined (Laake, Benestad & Olsen, 2007). The study aims to identify variables with respect to eating disorders, so a cross-sectional study design was chosen.
  • Why choosing descriptive cross sectional study|?
  • Why choosing quantitative study?
  • What the advantages and disadvantages are of cross sectional study?
Sample The sample will be randomly selected and the sample size is calculated by following formula- N=Z2xP(1-P)/e2 Details on this sample size calculation of cross sectional study Where N=Sample Size           Z= The value associated with 95% confidence interval= 1.96           P= Prevalence, here 0.078 or 7.8 (Nice.org.uk, 2017)           e= Standard error of proportion, in this study 0.05 is taken Calculation: N= (1.96)2x0.078 (1-0.078)/ (0.05)2 =110 Data collection A standardized semi-structured questionnaire will be used to collect data from the selected sample. The questions will ask specific information about the participants regarding the age, ethnicity, family history etc., and there will be open behavioral questions where the participants will have a chance to answer questions in more detail. Along with an extensive literature review, SCOFF (sick, control, one, fat and food) questionnaire will be done to construct the questionnaire (Sanchez-Armass et al., 2016). Detailed explanation about the SCOFF questionnaire and the way of data collection and distribution through posters/flyers Detailed explanation on Inclusion and Exclusion Criteria The participants are recruited at the University of East London. Participants that matched the inclusion criteria will be randomly selected for the study. Data analysis Descriptive statistics will be done to analyse the data using IBM Statistical Package for the Social Sciences (SPSS) version 21.00. Logistic regression model will be developed to determine the factors associated with eating disorders. Chi-square test and bivariate analysis will be done to test the association between social determinants and the eating disorder. Details on logistic regression MODEL and chi-square test and what these two tests are used for and how these tests will help in getting the results of the study  

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