Collection of The Data
How Will You Check For Accuracy? Determine Which Of The Four Levels Of Measurement, As Valid Research Statistical Techniques, Are Applicable To Your Research Project. Explain Why. Will You Collect Variable Measurements? If So, What Type?
What Statistical Test(s) Will You Use To Answer Your Research Question? Why?
Explain Why The Proper Data/Statistical Analysis Is Important. Will You Consult An Expert? Why, Or Why Not?
Assessing occupational health hazards has become a critical challenge that is faced by healthcare workers. It has been observed that the healthcare workers have been facing several dangers in their particular workplaces and the approaches that are needed to be taken to have an enclosed exposure of the activity limits, along with exhibiting traits of the management teams. The paper below describes the ways of conducting a survey and the several approaches that are taken to regulate the exposure to the dirt particles that are created within the pharmaceutical producing materials.
The focus of the activity within the taken pharmaceutical business will be to spot the grave effects that happen because of the exposure of the drug substances that require to be handled throughout the analysis and development or throughout producing activities. The data for the given research project will be collected by traditional conduction surveys using paper-based methods or online methods. The accuracy level will be checked based on the response from the target audience and determining the percentages concerning the data.
This safety analysis for pre-clinical prescribed drugs will be strictly conducted by the national agencies such as the Federal Food and Drug Administration (FDA) of the North American nation, and a wealth of knowledge such as the repetition of the toxicity dosages. The four levels of measurement that can be applied are summarized below:
These type of measurement values and reserves the numbers, as such the male and female respondents. Depending on the data that will be collected, performing any statistical calculations such as determining the mean and standard deviation on the analytical data will be decided. Although the nominal variables will be to create tabulations. Moreover, chi-square test will be used to perform the cross-tabulation for a symbolic set of collected data.
Usage of frequencies, specific non-parametric statistics and percentages will be used to perform statistics with the help of the collected data. Although the standard deviations and the parametric statistical tests will not be incorporated while using the original data.
This is the most commonly used statistical measure that uses the conventional method to understand the standard deviation and the correlation coefficient. However, using the 5-point Likert scale for checking the interval scale will be used, which further helps in determining the difference between the two survey options, whereas the possibilities considered will be: strongly agree and agree.
The ratio variable that will be found can be used as a dependent variable for performing the most parametric statistical test such as the t-test, regression, and finding out the correlation. The usage of the ratio scale data for the measurement will be incorporated for the given research project as the maximum of the arithmetic operations happen to be based on the ratio variable and will be dependent for most of the test that will later be performed. This will provide a more accurate and precise result for the survey that would be conducted.
There are mainly two statistical methods that will be considered to manage the research work. The descriptive statistics will be performed with the help of summarization of the data by using indexes such as the mean and the standard deviation. The characterisation seen will be subjected to the variations caused by random trials. The inferences will be drawn based on the mathematical statistics that help in dealing with many of the random phenomenon, These data, which will be obtainable as a bundle of human knowledge from clinical trials and adverse event profiles of the sold products, square measure. Consulting the analysis chart with the analytics team will help in providing a clear and useful insight into the plan, thereby making the research project a successful one.
Alarcón, M., Nogue, S., Sanz-Gallen, P., & Herrera-Mozo, I. (2014). Occupational airborne contact dermatitis from proton pump inhibitors. Current Allergy & Clinical Immunology, 27(4), 310-313. (
Budnik, L. T., Scheer, E., Burge, P. S., & Baur, X. (2017). Sensitising effects of genetically modified enzymes used in flavour, fragrance, detergence and pharmaceutical production: cross-sectional study. Occupational and environmental medicine, 74(1), 39-45.
Connor, T. H., Lawson, C. C., Polovich, M., & McDiarmid, M. A. (2014). Reproductive health risks associated with occupational exposures to antineoplastic drugs in health care settings: a review of the evidence. Journal of occupational and environmental medicine/American College of Occupational and Environmental Medicine, 56(9), 901.
Farshad, A. A., Enferadi, M., Bakand, S., Jamshidi Orak, R., & Mirkazemi, R. (2016). Penicillin dust exposure and penicillin resistance among pharmaceutical workers in Tehran, Iran. International journal of occupational and environmental health, 22(3), 218-223.
Polovich, M. (2016). Minimizing occupational exposure to antineoplastic agents. Journal of Infusion Nursing, 39(5), 307-313.
Ramphal, R., Bains, T., Vaillancourt, R., Osmond, M. H., & Barrowman, N. (2014). Occupational exposure to cyclophosphamide in nurses at a single center. Journal of occupational and environmental medicine, 56(3), 304-312.