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- QUESTION
Research project is are falls reduced in elderly patients when there are pressure alarms vs camera monitoring?
By Friday, April 15, 2016, write a 1-page paper addressing the sections below of the research proposal.
Methodology
Data Analysis Plans
Describe plan for data analysis for demographic variables (descriptive statistical tests).
Describe plan for data analysis of study variables (descriptive and inferential statistical tests).
Submit your assignment to the W8: Assignment 2 Dropbox by Friday, April 15, 2016.Assignment 2 Grading Criteria
Maximum Points
Data analysis plan for demographic variables is appropriate and fully explained.
10
Data analysis plan for study variables is appropriate and fully explained.
15
Followed APA guidelines for writing style, spelling and grammar, and citation of sources.
5
Total:
30
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| Subject | Nursing | Pages | 3 | Style | APA |
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Answer
Data Analysis Plan
Data analysis plan is a crucial part of research projects and the tests employed depend on the type of data. In the given research project, the data analysis will be carried out in two main steps which are demographic and main analyses (Aneshensel, 2013). The demographic analysis will compare the demographic variables such as age and gender with the main variables such as the number of falls to establish a profound relationship. This will majorly consist of Parsons’s chi-square tests and sample t-tests. The Pearson’s chi test will test the association between different variables. The second analyses will be the main analyses test that measures series of the hypothesis by using univariate methods such as ANOVA.
Descriptive tests will tell on how the data looks. Here the mean, ranges and standard deviations will be tested if the variables are continuous whereas for discrete variables group frequencies will be presented. Also, the focus will be on the demographic variables, which are sex and age. Other characteristics considered here will be the distribution, central tendency and dispersion. The three will measure the frequency of the variables, distribution of variables and spread of variables around the central tendency respectively. Central tendency measures mean mode and median (Lehman, 2013).
The study variables, which include the number of falls and time, will be analysed in two tests, which is descriptive and inferential test. Similar to demographic variables, descriptive tests will include the dispersion and central tendency (mean, mode and median) the inferential tests will include trend analysis for repetitive measurements of falls per time and analysis of variance of models which will compare average variables. Multiple regression and correlation will also be tested. Correlation will measure the relationship between study variables such as number of falls and age (Lehman, 2013). Multiple regressions will examine how best the study variables such as the number of alarms predict the outcome variable, which is the number of falls. Conical correlation analysis relates different sets of variables. The type of analysis here will be t-tests and ANOVA.
In conclusion, proper data analysis is based on various tests which are selected depending on the type of data. Most applicable tests include descriptive and inferential statistical tests. Both are applicable in analysing all the variables collected.
References
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Aneshensel, C. S. (2013). Theory-based data analysis for the social sciences. Sage. Lehman, A., O'Rourke, N., Hatcher, L., & Stepanski, E. (2013). JMP for Basic Univariate and Multivariate Statistics: Methods for Researchers and Social Scientists. SAS Institute.
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