Generalizability Clause Samples
Generalizability. The participants within the current study were a good representation of a young offender population as there was a variety of ages and variation in ethnicity. However, they were all between the ages of 18 and 25 and lived in London boroughs. The London prison population has been noted to be different to other parts of the country due to its cosmopolitan nature (Hurry, ▇▇▇▇▇▇, ▇▇▇▇▇▇▇ & ▇▇▇▇▇▇, 2012) and as such, as is a common limitation in such research, the findings may not be generalizable to younger or older offender populations from other areas of the country and would require replication in different groups.
Generalizability. The generalizability of a clinical trial to actual everyday practice settings is always a concern. FAST-MAG is highly generalizable. It will be performed in the Los Angeles County, a county with the greatest population diversity of any in America, and with wide geographic variation from dense urban core (downtown Los Angeles), to suburban sprawl (San ▇▇▇▇▇▇▇▇ Valley), to rural settings (Playa Vista, Malibu). The trial will be performed at a wide range of hospital sites, from small to large and community to academic. The prehospital components of FAST-MAG are highly generalizable. The prehospital stroke identification instrument employed in FAST-MAG (LAPSS) is now a component of ACLS training for paramedics nationwide. [20] In many prehospital systems, paramedics are already authorized to give magnesium in the field for other conditions and administration of magnesium is a simple variation upon existing protocols for administering drugs in the field employed by all paramedics.
Generalizability. This study utilized only one MPH program in one state and therefore the results may not be applicable or equally reflective of responses that may be gained when implementing this study in other schools, locations, and MPH programs. Further, this study generated a 29% response rate of the targeted second-year RSPH student population. This response rate may be considered less than a desired minimum necessary to achieve statistical significance. Lastly, this study targeted only students who had at least matriculated to second-year status because of their level of exposure to the program. Yet, each of these students may have completed a different number of semesters as well as different courses (i.e., taken classes out of order, completed three versus four semesters, etc.) at the time they responded to the survey and as a result have different perspectives of the curriculum.
Generalizability. This study only considered women who were specifi- cally recruited and enrolled because of their diagnosis. It is possible that women who enroll in a study regardless of their diagnoses or medication use would report their medication use with less accuracy. Furthermore, women were primarily non-Hispanic white, had relatively high socio-economic status and older maternal age. The results may not generalize to other populations if accuracy of maternal report or medical record information varies by demographic factors. Women in this study reported medication use in response to open-ended prompts as opposed to a structured query using an exhaustive list of specific medications. Prevalence of medication use according to maternal report and agreement between maternal report and medical records may have been higher had women been queried about specific rheumatoid arthritis and asthma medications. Sources of medica- tion information in records was variable across women and included ordered medication lists, active medication lists, which rely on patient report, and physicians’ notes. Variability in medication reconcilia- tion practice (reconciling discrepancies between patient report and medical record) among individual clinics was unavailable but could contribute to differ- ent levels of medication agreement. Agreement between maternal report and records may be higher in settings where active medication lists are consistently reviewed and reconciled at each visit.