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Generalization Of Results

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Health & Medical
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Grand Canyon University
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HEALTH AND MEDICAL 1
Generalization of Association and Causation in Epidemiology
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HEALTH AND MEDICAL 2
Generalization of Results
Generalization, by definition, refers to the use of findings from one study in judging
another group or subject (Allen, 2017). I believe it is not right to generalize results for different
groups. When the study variables focused on women only, it would not hold to include men. In
the provided case, for example, since the study never included the entire population of both
genders, it would be misleading to conclude that the same holds for men without a scientific
proof since the demographics of both genders differ. Some scholars think it is okay to go this
direction; however, it results in insignificance and inaccurate conclusions since it implies
including a broader population than the investigated sample (Kukull, & Ganguli, 2012). The
most probable outcome will bring discrepancies with the study objectives and research questions.
The same reasoning would apply in the provided scenario since the study found causation
to exist between smoking and lung cancer in women; it does not necessarily hold for men. The
reasoning is simple: the number of male smokers and their lung cancer rate might be different.
The selected sample size might also be insignificant compared to male smokers (Kukull &
Ganguli, 2012). It is like investigating the diabetes rate in the U.S then assuming the same
conclusion holds for the entire world population. The above evidence makes it precise that
women's results will not hold since the study involved different groups and samples with varying
characteristics.

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HEALTH AND MEDICAL 1 Generalization of Association and Causation in Epidemiology Student Name: Institutional Affiliation: Course Title: Instructor: Date: HEALTH AND MEDICAL 2 Generalization of Results Generalization, by definition, refers to the use of findings from one study in judging another group or subject (Allen, 2017). I believe it is not right to generalize results for different groups. When the study variables focused on women only, it would not hold to include men. In the provided case, for example, since the study never included the entire population of both genders, it would be misleading to conclude that the same holds for men without a scientific proof since the demographics of both genders differ. Some scholars think it is okay to go this direction; however, it results in insignificance and inaccurate conclusions since it implies including a broader population than ...
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