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Report on Health Statistic Assessment

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Added on  2020-05-01

Report on Health Statistic Assessment

   Added on 2020-05-01

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Health Statistic AssessmentAnalytical ReportStudent Name:Student Number:Lecturer Name:28th October 2017
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IntroductionIn this paper, I sought to analyse data on psychological survey. There are four researchquestions that this study sought to answer. The four research questions are;1.Is there an association between having a low (below 15) pre-flood psychological scoreand living alone? If so, what this the nature of the association? 2.Are age, social support score and family functioning score predictors of the pre-floodpsychological score? Which of these three variables explains most of the variation inpre-flood psychological score? How does the inclusion of place of residence as apredictor change the fitted model? Using the minimum model, which contains onlythe significant variables, what is the predicted pre-flood psychological score for a 35-year old male living in a rural area with a social support score of 40 and a familyfunctioning score of 22? 3.Is there a difference in the post-flood psychological score between men according tothe level of impact of the 2011 flood? If there is a difference, which groups aredifferent? 4.Is the mean change in psychological score between the pre and post-flood survey thesame for men who experienced no or limited flood impact compared to men whoexperienced moderate/major flood impact?
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ResultsResearch question 1:To answer this research question, I had to apply a Chi-Square test of association. The pre-flood psychological score was given as a numerical variable and I had to recode where scoresbelow 15 were recoded as low and scores above 15 were recoded as high. I ended up withtwo categorical variables making Chi-Square test an ideal test to test for the association. Brief overview of the statistical methods you usedFor this analysis, I used Chi-Square test of association. Also called Pearson's chi-square testor the chi-square test of independence, is used to discover if there is a relationship betweentwo categorical variables. The null hypothesis for the test is that there is no associationbetween the variables.Using SPSS I had to run the test and the results are displayed below;Chi-Square TestsValuedfAsymp. Sig.(2-sided)Exact Sig.(2-sided)Exact Sig.(1-sided)Pearson Chi-Square.100a1.752Continuity Correctionb.00011.000Likelihood Ratio.0991.752Fisher's Exact Test1.000.514Linear-by-Linear Association.0991.753N of Valid Cases157a. 2 cells (50.0%) have expected count less than 5. The minimum expected count is 3.57.b. Computed only for a 2x2 tableThe p-value for the Pearson Chi-Square test is 0.752 (a value greater than 5% level ofsignificance). We therefore fail to reject the null hypothesis and conclude that there is nosignificant association between having a low (below 15) pre-flood psychological score and livingalone.Research question 2:
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