This thesis explores occupational fatalities to American males for the years 1998
and 1999. The focus is on predicting the likelihood that the individual will sustain an
occupational injury resulting in death based on an occupational status score.
Demographic variables measuring Southern residence, race, ethnicity, marital status,
education and age were also included in analyses. Research questions include whether or
not individuals in higher status occupations are at a decreased risk of sustaining an
occupational fatality, and how the demographic variables included effect occupational
fatalities. Using data from death certificates allowed me to measure the individual’s
occupational status based on their “usual occupation” and find out whether or not
differences exist. The thesis involves two analyses, one with the sample comprised of
only males between the ages of 25 and 55 and one including only married males between
the ages of 25 and 55. Logistic regression is employed as the method of analysis to model
the odds of the risk of sustaining an occupational fatality that results in death.
The results of the first model found only marital status to be positively and
significantly related to occupational fatalities. Black, Hispanic, South and education were
found to be negatively related to occupational fatalities. The main hypothesis of this
thesis was not supported, however because the regression shows that with each increase on the occupational status index, no significant increase or decrease occurred in
sustaining an occupational injury that resulted in death.
In the second regression that included only married males, many of the
relationships no longer existed. Hispanic and the education variable both lost statistical
significance. The only variables to maintain significance were black and South, which
were both associated with a decreased risk of sustaining an occupational injury that
resulted in death. Problems with the occupational status index as a predictor for the
likelihood of sustaining an occupational fatality and restrictions of the data may be the
main issue that resulted in a lack of findings.
Identifer | oai:union.ndltd.org:tamu.edu/oai:repository.tamu.edu:1969.1/ETD-TAMU-1380 |
Date | 15 May 2009 |
Creators | Traut, Rachel Lynn |
Contributors | Poston, Dudley L. Jr |
Source Sets | Texas A and M University |
Language | en_US |
Detected Language | English |
Type | Book, Thesis, Electronic Thesis, text |
Format | electronic, application/pdf, born digital |
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