The United States is
experiencing an epidemic of sexual violence. New findings from the National
Intimate Partner and Sexual Violence Survey (NISVS), a study launched by
the Center for Disease Control and Prevention in 2010, report that nearly 1 in 5 women are estimated to have been the victims of
rape, defined as unwanted completed or attempted sexual penetration,
including victims who did not have the capacity to give consent (owing to
intoxication, for example). In almost all cases, the perpetrator was someone
the victim knew (91.9%) and more than half of the time was their own partner.
Young adulthood was the period of highest risk for first sexual victimization.
For 80% of female victims, first rape occurred before age 25; for 42%, before
age 18.
Although the lifetime prevalence
of stalking was surprisingly less than the prevalence of non-consensual sexual
contact, incidence estimates for the past year suggest that this trend could be
changing as new communication technologies introduce new opportunities for
sexual harassment. In 2010, the study estimates that 1.27 million American
woman were raped--equivalent to one woman every 29 seconds--and 5.1 million
were stalked--equivalent to one woman every 7 seconds.
These are a few of the key
findings from the first annual report of what will be an ongoing, nationally
representative survey of sexual violence in the US. The NISVS will be a great
resource to public health researchers. Using the data collected by the NISVS,
investigators will be able to monitor national and state-specific trends in the
prevalence of sexual violence and stalking for the first time, to characterize
the type of individuals who are at the highest risk of being a victim or a
perpetrator of a sexual crime (whether physical or psychological), and to
investigate the health consequences of sexual victimization.
The first NISVS report has
already made national headlines because of the high prevalence of forced
sex that was found. To give some perspective, the study's figures, if true,
indicate that number of American women who have been raped is greater than the
number who are current smokers. Skeptics might question whether such
statistics could be for real. After all, some surveys have been made famous for
getting it wrong, like the 1948 polls that were made the laughingstock of newly elected President Harry S.
Truman after they predicted that Thomas E. Dewey would win the election. A survey
that makes predictions risks being ridiculed (often very publicly) but it
benefits from the opportunity of self-correction. Surveys that only intend to
provide a snapshot of a population never get such feedback. As a consequence,
the study designers can never know whether they have managed to avoid
distortion.
For survey research, coverage
and response are the most important ingredients to getting an accurate picture
of the population of interest. Surveys with good coverage give every member of
the target population a chance to participate. Convenience samples, like polls
conducted at shopping malls, are notoriously poor at coverage. When random
digit dialing was introduced in the 1970s, it was a breakthrough for survey
research because it largely solved the coverage problem. At that time,
90% of the US population had a landline telephone. So, with RDD and phone
interviews, the question was no longer how to get a sample with good coverage
for almost any region of the States but how to do it in a cost-effective
way.
With the increasing popularity
of new communication technologies in the 21st centruy, there is a growing
number of Americans who will never be reached through a landline. The challenge
that cell phone use in particular poses for survey research has been a focus of
the work of Paul J. Lavrakas, former Chief Research Methodologist for Nielsen
and contributing author to Advances in Telephone Survey Methodology.
In a Public Opinion Quarterly article summarizing the outcomes
of several gatherings of expert panels between 2003 and 2008, Larakas and
colleagues conclude that "...surveying persons reached on cell phone
numbers in the United States currently is a very complex undertaking if one
wants to do it 'right,' i.e. to do it legally, ethically, and in ways that
optimally allocate one's finite resources to gather the highest quality data,
and to analyze and interpret those data accurately.'' Though daunting, to avoid
non-coverage bias, it is an undertaking that has to be faced. The Pew Research Center estimates that for 25% of current
households the only phone service used is a mobile phone.
The 2010 NISVS was a telephone
survey. A strength of the design is that both landline and cell phones were
included. Of the 16,507 completed interviews, 9,046 of the participants were on
a cell phone and 7,461 were on a landline.
Response is the more concerning
piece of the NISVS methodology. Using the American Association for
Public Opinion Research Response Rate 4 formula, response rate is defined
as the number of fully and partially completed interviews over all eligible
cases, which is the sum total of cases with completed interviews, refusals,
non-contacts, other spoken language than that used for the survey, and a
correction factor for cases of unknown eligibility. The NISVS response rate was
an underwhelming 27.5%. The majority of non-response was due to non-contacts.
Although this rate is actually better than
average for national telephone surveys, it still raises that question of
whether the experience of sexual violence, stalking, and intimate partner
violence is different among those Americans in the 72.5% of the sample who were
either away from their phone or who looked at the unknown number coming in and
chose not to answer.
If non-participation were a
random event (a doubtful but much hoped for circumstance for survey
researchers), then the NISVS participants would still provide a nationally
representative sample of Americans. However, there is evidence that chance was
not entirely indiscriminate when selecting the 27.5% of responders when one
compares the NISVS sample and the US population on several socio-economic characteristics.
In contrast to the US population, participants in the NISVS were more likely to
have a college or advanced degree (36.4% versus 29.6%), more likely to be
divorced (12.9% versus 10.3%), more likely to never have been married (30.2%
and 26.1%), and more likely to have an annual household income that was below
the federal poverty level (19.6% versus 12.1%).
The NISVS has an important
public health message but it is unclear to which public it applies.
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