Discussion Draft

[annarupert]

Here is a place to put your finished draft @Yuhan-2435

[annarupert]

Discussion Question Guidelines, discuss any of the following:

• caveats (are there problems with the data that there are no obvious ways to resolve? if so, how might this impact • future work / next steps • implications of the results (how your findings – if they were causally identified – might inform policymaking, etc.

[annarupert]

@Yuhan-2435 Please let me know how far you get in the discussion today! I am going to add all that I have to our submission.

[Yuhan-2435]

Discussion

The data analysis and results above display that there are potential issues existed within the dataset. The data collected by OSHA are self-reports of number of incidents from individual firms. The different policies that each firm has on reporting and defining an accident may lead to the outliers in variables studied. And there is no obvious way to avoid these extreme cases for data collections. To continue the research, exploring on new data resources which contain the accidents report for different types and size of firm may resolve the unnormal cases. In addition, it is also worth studying about the variable of total_respiratory_condition. In the year case of 2023, this variable has an unusual rate of respiration related accidents per capita, which may be due to the aftermath of COVID-19. In future study, a deeper exploration on the total_respiratory_condition in the year case of 2019, 2020, 2021, 2022 is necessary to check on the influence of COVID-19. And by studying the injuries rate in these year cases, it helps determine the correlations on the external factors and the injuries rate per capita, firm size.

Conclusion

In this research, we examine whether there is a correlation between injuries rate and firm size by using data collected from OSHA. We calculated the injuries rate per capita and the rate of other variables such as total skin disorders, total respiratory conditions, and etc, to compare them with the ten deciles of annual average employees. The results demonstrate that there is no, or extremely weak correlation of -0.0136 between injuries rate and firm size. Our hypothesis, which is larger establishments will experience less injuries per worker than smaller establishments, has been proved invalid. The conclusion on hypothesis may be presented with more certainty if additional time is given to test on data from a different year case, or new resources. When considering if firm size impacts workplace accidents rates, other uncontrollable factors such as the report policies, the process of data collections, the external environment, add extra unknown variables to the research and affect the result with outliers. Solving the potential extreme cases within the data would be an essential beginning for researching workplace accidents.

[annarupert]

Discussion

The data analysis and results above display that there are potential issues existed within the data set. The data collected by OSHA are self-reports of number of incidents from individual firms. The different policies that each firm has on reporting and defining an accident may lead to the outliers in variables studied. And there is no obvious way to avoid these extreme cases for data collections. To continue the research, exploring on new data resources which contain the accidents report for different types and size of firm may resolve the abnormal cases. In addition, it is also worth studying about the variable of total_respiratory_condition. In the year case of 2023, this variable has an unusual rate of respiration related accidents per capita, which may be due to the aftermath of COVID-19. In future study, a deeper exploration on the total_respiratory_condition in the year case of 2019, 2020, 2021, 2022 is necessary to check on the influence of COVID-19. And by studying the injuries rate in these year cases, it helps determine the correlations on the external factors and the injuries rate per capita, firm size.

Feed Back: This section needs much more careful proofreading, but otherwise is largely fine. I just can't figure out what you're trying to convey with

"And by studying the injuries rate in these year cases, it helps determine the correlations on the external factors and the injuries rate per capita, firm size."

[Yuhan-2435]

The data analysis and results above display that there are potential issues within the dataset. The data collected by OSHA are self-reports of the number of accidents from individual establishments. The different policies that each establishment has on reporting and defining an accident may lead to the outliers in variables studied. And there is no obvious way to avoid these extreme cases for data collection. To continue the research, exploring new data sources that contain accident reports for different types and sizes of establishments may resolve these abnormal cases. In addition, it is also worth studying the variable of total respiratory condition. In the year case of 2023, this variable has an exceptional rate of respiration-related accidents per capita, which may be due to the aftermath of COVID-19. In future studies, a deeper exploration of the total_respiratory_condition in the year cases of 2019, 2020, 2021, and 2022 is necessary to check on the influence of COVID-19.

[annarupert]

Thank you !!!