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University of Maryland School of Nursing NRSG 795 Analysis #3: Associations/Relationships (10% course grade) Background and Objectives In Analysis 1 & 2, you described the

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University of Maryland School of Nursing NRSG 795 Analysis #3: Associations/Relationships (10% course grade) Background and Objectives In Analysis 1 & 2, you described the characteristics of a sample using appropriate descriptive statistics and graphs and also performed hypothesis testing for research questions that explored differences in the means. In Analysis #3, you will begin to examine relationships between two variables. Not only will you describe the relationships with scatter plots and cross tabulations (frequencies and proportions), but you will also use inferential statistics to determine if there is a significant association in the population, based on information from the sample. You will demonstrate your ability to: 1) Test hypothesis about relationships between variables that are both measured at nominal or ordinal level, and between variables that are measured at both interval or ratio level 2) Conduct scatter plots, correlation, simple linear regression, cross tabulations and chi square in Excel and IS, and 3 ) Summarize findings as you would in a journal article or report You will use the dataset. NRSG795_myclients. This fictional dataset represents variables abstracted from record reviews of the clients seen in a particular practice overtime. The survey explored factors that impact the respondents' psychological adjustment and well-being. A subset of cases and variables were selected for this class. Assignment Start by examining the data and the coding of the data (variable names and values of variables) for the variables you will examine in the hypotheses below. You will then conduct the appropriate analysis to test the following hypotheses and summarize your findings. Hypothesis la: The satisfaction with weight score from 5 years ago is correlated with the satisfaction with current weight score. Hypothesis 1b: The satisfaction with weight score from 5 years ago is predictive of the satisfaction with current weight score Hypothesis 2. There is an association between gender and being depressed.18 44 1 32 66 9 0 31 19 49 1 49 58 6 0 35 20 53 1 43 57 7 2 28 21 62 0 52 60 6 33 22 65 1 55 55 5 41 23 68 1 28 57 8 1 43 24 70 1 25 75 10 1 33 25 77 1 29 66 9 0 39 26 84 0 45 80 3 2 29 27 85 1 28 60 7 1 32 28 86 0 21 65 10 0 31 29 87 0 28 + 84 9 0 30 30 88 1 20 76 9 0 26 31 91 1 20 68 10 0 37 32 101 0 32 78 8 2 39 33 105 0 47 84 4 2 30 34 111 0 54 64 6 1 28 35 119 35 81 9 2 41 36 121 O 36 65 0 32 57 127 1M G H L A C D JACK B 37 137 1 60 68 40 DON un 38 139 1 47 64 34 140 1 34 71 8 0 41 39 40 635 40 69 7 0 36 41 640 32 72 8 0 32 42 1003 55 52 4 0 46 43 1005 27 62 CO 48 44 1007 + 19 81 10 0 40 45 1008 0 43 60 7 2 27 46 1009 0 32 69 8 0 32 47 1016 35 70 8 0 34 48 1027 30 68 0 37 40 1035 63 57 6 0 34 50 1036 51 53 6 0 33 51 1038 0 65 47 4 35 52 1042 34 81 8 0 48 53 2062 0 18 77 10 2 29 54 3013 0 44 76 6 0 37 55 3018 38 67 7 0 35 56 3031 36 63 8 36 57 3037 39 55 10 31

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