DOI: 10.3886/icpsr37520.v1
title: National Intimate Partner and Sexual Violence Survey (NISVS): General Population Survey Raw Data, 2011
title: Version 1

description: The National Intimate Partner and Sexual Violence Survey (NISVS) is an ongoing nationally representative survey that assesses experiences of sexual violence, stalking, and intimate partner violence among adult women and men in the United States and for each individual state. The survey focused exclusively on violence and collects information about:


Sexual violence by any perpetrator, including information related to rape, being made to penetrate someone else, sexual coercion, unwanted sexual contact, and non-contact unwanted sexual experiences


Stalking, including the use of newer technologies such as text messages, emails, monitoring devices (e.g., cameras and GPS, or global positioning system devices), by perpetrators known and unknown to the victim


Physical violence by an intimate partner


Psychological aggression by an intimate partner, including information on expressive forms of aggression and coercive control


Control of reproductive or sexual health by an intimate partner



In addition to collecting lifetime and 12 month prevalence data on sexual violence, stalking, and intimate partner violence, the survey collects information on the age at the time of the first victimization, demographic characteristics of respondents, demographic characteristics of perpetrators (age, sex, race/ethnicity) and detailed information about the context in which these types of violence occur.


The primary objectives of the survey are to describe the prevalence and characteristics of sexual violence, stalking, and intimate partner violence in the United States; who is most likely to experience these forms of violence; the context in which sexual violence, stalking, and intimate partner violence are experienced; and the consequences and impacts of these forms of violence.


The data file contains 14,884 cases and 25,783 variables.
description: NISVS employs a dual-frame, stratified random-digit-dial (RDD) sampling design, with continuous data collection. To meet the challenges of rising non-coverage rates in U.S. landline-based telephone surveys, NISVS implemented a dual-frame design where both landline and cell phone frames were sampled simultaneously. 
List-Assisted Landline Frame. The landline sampling frame was comprised of hundred-banks of telephone numbers where each bank had at least one known listed residential number. A hundred-bank is the 100 telephone numbers that are generated by fixing the first eight digits of a telephone number and changing the last two digits (e.g., (800) 555-55XX). Known business numbers were excluded from the frame. In addition, non-working numbers were removed after sample selection through screening.
Cell-Phone Frame. The cell phone frame consisted of phone numbers in telephone banks identified as active and currently in use for cell phones. At the time the sample was drawn, directory listings of cell phone numbers were not available. Thus, list-assisted screening was not possible. 
Stratification for State-Level Estimates. NISVS has the dual objectives of providing national and state-level estimates. A sample design optimized for national estimates would use proportionate allocation across states (resulting in a sample size in each state that is proportionate to the adult population in that state), whereas a design optimized for providing stable state-level estimates might allocate the sample approximately equally across states. Considering these competing objectives, NISVS survey samples were stratified by state, balancing between stable state-level estimates and weight variation for the national estimates from oversampling of smaller states. 
Within-Household Selection. Each state sample included both landline and cell phone samples. When reaching a household in the landline sample, the interviewer asked about the number of males and females living in the household. In a one-adult household, the adult was automatically selected to participate. In households with only two adults, the person on the phone or the other adult in the household was randomly selected. When there were more than two adults in the household, the adult with the most recent birthday was selected. This within-household selection has been found to be less likely to lead to overrepresentation of females in the pool of respondents compared to using only the most recent birthday method for all households with more than one adult (Rizzo, Brick, and Park, 2004). Because cell phones are personal use devices, the person answering the cell phone was selected as the respondent, if eligible. 
Nonresponse Phase. To increase participation, NISVS was administered as a two-phase survey. Phase One was the main data collection phase. Respondents in the first phase were offered an incentive of $10 to participate in the survey. A random subsample of non-respondents from the first phase was selected during Phase Two, with the goal of reducing non-response and non-response bias. The second phase included a substantially higher incentive ($40) to further encourage participation.
description: The questionnaire is divided into several sections and includes information on demographic characteristics of the respondent, health conditions, victimization experiences (including psychological aggression, coercive control and entrapment, physical violence by an intimate partner, stalking victimization, and sexual violence). The questionnaire also includes information about perpetrators and follow-up questions.
<strong>Demographics </strong>- Respondents were asked their year of birth, education level, race and ethnicity, place of birth (if not U.S. born, number of years lived in the U.S.), whether they were affiliated or enrolled in a tribe or village, whether they have ever and in the past 12 months lived on a reservation or in a tribal village, their total household income, and zip code.
<strong>Health</strong> - Respondents were asked about the following health conditions: asthma, chronic pain, diabetes, difficulty sleeping, frequent headaches, high blood pressure, irritable bowel syndrome (IBS), general physical health, and mental health. They were also asked about activity limitations as a result of physical, mental, or emotional problems, and about health problems that require use of special equipment. They were also asked how often they worried or were stressed about having enough money to pay their rent or mortgage, buy nutritious meals, and times when they needed to see a doctor but couldn't afford it.
<strong>Victimization</strong> - Respondents were asked to report the number of people who had perpetrated a series of violence behaviors (described below) against them. For each perpetrator they reported, they were asked for the initials of the perpetrator and the number of times the perpetrator did the behavior in the respondent's lifetime and in the past 12 months. 

<strong>Psychological aggression (PA)</strong>, which includes behaviors such as acting dangerous, name calling, insults, and humiliation. 
<strong>Coercive control and entrapment (CCE)</strong>, which includes behaviors that are intended to monitor and control an intimate partner such as threats, interference with family and friends, and limiting access to money. It also includes behaviors intended to control reproductive or sexual health.
<strong>Physical violence (PV)</strong>, which includes behaviors such as slapping, pushing or shoving, being hurt by pulling hair, being hit with something hard, being kicked, being slammed against something, attempts to hurt by choking or suffocating, being beaten, being burned on purpose, and having a partner use a knife or gun against the victim.
<strong>Stalking victimization (S)</strong>, which includes a pattern of unwanted harassing or threatening tactics used by a perpetrator that causes fear or concern for the safety of oneself or others, such as unwanted phone calls or emails, watching or following from a distance, technology-assisted tactics (GPS), and leaving strange or potentially threatening items for the victim to find.
<strong>Sexual violence (SV)</strong>, which includes rape (completed forced penetration; attempted forced penetration; alcohol or drug facilitated completed penetration), being made to penetrate another person (completed; attempted - males only; alcohol or drug facilitated), sexual coercion (unwanted sexual penetration after being pressured in a non-physical way), unwanted sexual contact (e.g., being kissed in a sexual way, fondled or grabbed), and non-contact unwanted sexual experiences (i.e., unwanted experiences that do not involve any touching or penetration such as someone exposing their sexual body parts, flashing, or masturbating in front of the victim; making a victim show his or her body parts; making a victim look at or participate in sexual photos or movies; or someone harassing the victim in a public place in a way that made the victim feel unsafe). 
Respondents aged 70 and older were also asked about perpetrators other than romantic and sexual partners for recent psychological aggression, coercive control and entrapment, and physical violence victimization (i.e., past 12 months only). These questions were included as a part of a pilot to assess the utility of using NISVS to capture some information on victimization among older adults. 
Note: Analysts are cautioned against using these data to determine the prevalence of elder abuse in the United States or to understand patterns of elder abuse. The NISVS survey does not include the range of victimization (e.g., neglect, financial and other forms of exploitation) that is understood in the field as constituting elder abuse and should not be construed as such. The data are also only for the past 12 months and for those aged 70 and older. The field of elder abuse and other aging related legislation (e.g., Older American's Act) uses ages 60 and older as the cut-off. In this regard, the sample does not cover the population of interest and the limited types of victimization assessed in NISVS preclude making generalizable statements about elder abuse in the United States.
<strong>Perpetrator Information</strong> - All behaviors in the NISVS survey are linked to a specific perpetrator and all questions are asked within the context of that perpetrator. Respondents who reported experiencing violence were asked to provide the interviewer with the initials or a nick name for the individual perpetrator or identify the person in some other general way so that each violent behavior reported could be tied to a specific perpetrator. Respondents were then asked a series of questions about each perpetrator including the perpetrator's age, sex, and race/ethnicity. In addition, for each perpetrator reported, respondents were asked their age and their relationship to the perpetrator, both at the time violence first began and at the last time violence was experienced. 
<strong>Follow-up Questions </strong>- Respondents who reported experiencing stalking victimization were asked a series of follow-up questions, including the respondent's age when they first experienced stalking by each perpetrator and the age at which they last experienced stalking. They were also asked whether they were fearful, whether the perpetrator ever damaged personal property or belongings, ever threatened to physically harm them, and whether they believed that they or someone close to them would be seriously harmed or killed. 
Respondents who reported being threatened with physical harm or physically forced to have sex were also asked a series of follow-up questions, including the respondent's age when they first experienced these behaviors by each perpetrator and the age at which they last experienced these behaviors. They were also asked whether they were physically injured, contracted an STD, or became pregnant as a result of the victimization.
A series of general follow-up questions were asked of respondents who reported victimization in the preceding sections of the survey (i.e., psychological aggression, coercive control and entrapment, and physical violence by an intimate partner; stalking; and sexual violence victimization). Respondents were asked about the impact of the violence they experienced by a specific perpetrator. These questions included whether they were ever concerned for their safety; if they were ever fearful (and if so, how fearful); if they had nightmares, were constantly on guard, watchful, or easily startled; if they felt numb or detached from others, their activities, or surroundings; if they were ever injured (and if so, what those injuries included); who they talked with about the behavior(s) (and if so, how helpful these discussions were); their need for and ability to get services (medical care, housing services, community services, victim's advocate or legal services); and whether they ever had to miss work or school.
description: <strong>Weighting Procedures:</strong> Sample weights are essential for computing national estimates using these data. These weights reflect sampling features, non-response, coverage, and sampling variability. There are several main weight components that contribute to final sampling weights: selection, multiplicity, non-response, and post-stratification. 
The selection weight accounts for different sampling rates across states, the varying selection probabilities in the landline and in the cell phone frames, the within household probability of selection, and the subsampling of non-respondents in Phase Two of data collection.
The multiplicity weight component takes into consideration that some sample members had both landline and cell phone services, thereby having multiple chances of entering the survey. The non-response weight accounts for the variation in response rates within the selected sample.
The post-stratification weight adjusts the product of the selection, multiplicity, and non-response weights to match the population distribution on main demographic characteristics. This is accomplished using benchmark counts from census projections to correct for both coverage and non-response, which allows the landline and cell phone samples to be merged together.
Two main sets of weights were computed for analyzing NISVS data. Applying the same principles in constructing the various weight components, one set of weights were computed for all partial and complete interviews, while another set of weights were computed for the complete interviews only. An interview is defined as "complete" if the respondent completed the screening, demographic, general health questions, and all questions on all five sets of violence victimization, as applicable. An interview is defined as "partial" if the respondent completed the screening, demographic, and general health questions and at least all questions on the first set of violence victimization (psychological aggression).
Users of NISVS data will need to provide the "design" and "stratum" specifications to whichever software (such as SUDAAN or a SAS complex survey procedure) is being used for analysis and apply the correct weights when producing estimates. This is necessary because the NISVS data were collected through a complex sampling design. Information about the Design and Weight Variables can be found in the Orientation to the NISVS Raw Data for Analysis.
description: Response Rates: 
The overall weighted response rate for the 2011 data collection for NISVS was 33.1 %. The computation of the weighted response rate reflects the stratified, two-phase, dual-frame survey design used in NISVS, and accounts for the disproportionate sampling across states, combined response rates from Phases One and Two, and combined response rates resulting from the two sampling frames.
The disproportionate sampling to maximize the stability of state-level estimates was taken into account by weighting each case with the inverse of the state-level probability of selection. Using the weighted case counts, the American Association for Public Opinion Research (AAPOR) Response Rate 4 (AAPOR, 2011) was computed separately for each combination of sample and phase.
description: From January 4, 2011 through December 31, 2011, a total of 153,359 telephone numbers were sampled. A total of 14,155 adults were interviewed nationally (7,758 women and 6,397 men). This includes 12,727 completed and 1,428 partially completed interviews. Approximately 40 percent of interviews were conducted by landline telephone and 60 percent of interviews were conducted using a respondent's cell phone.
For comparison to the United States population, demographic characteristics of the selection weighted landline and cell phone samples, the post stratified combined samples, and the United States population is included below. Consistent with other studies, the landline and cell phone samples yield different demographic distributions. When combined, these samples complement each other and provide estimates that more closely approximate the U.S. population distribution. 
Combined post stratified estimates are presented for the demographic variables used in weighting to illustrate how distributions are further adjusted to match the population distributions. In addition, demographic variables that were not used in weighting (education, marital status and household income) are included in the table as a further comparison between the sample population and the U.S. population. The sample population, when compared to the U.S. population, had higher levels of college graduate and postgraduate education, a larger percentage of never married respondents, more respondents who were currently married,
and a lower percentage of respondents with household income less than $10,000.
Combined post stratified estimates are presented for the demographic variables used in weighting to illustrate how distributions are further adjusted to match the population distributions. In addition, demographic variables that were not used in weighting (education, marital status and
household income) are included in the table as a further comparison between the sample population and the U.S. population. The sample population, when compared to the U.S. population, had higher levels of undergraduate and graduate college education, a larger percentage of never
married respondents, more respondents who were currently married, and a lower percentage of respondents with household income less than $10,000.
description: Datasets: 
DS1: General Population Raw Data
description: Non-institutionalized English and/or Spanish-speaking adults aged 18 or older in the 50 states and District of Columbia meeting sampling eligibility criteria. Smallest Geographic Unit: state
description: computer-assisted telephone interview (CATI)Information about the NISVS survey is available on the CDC's NISVS website. The webpage includes summary reports as well as special topical reports.Users are strongly encouraged to consult the Orientation to Analyzing the Raw Data in the User Guide. The NISVS raw dataset contains 25,783 variables, in part, to accommodate the range of victimization experiences captured in NISVS (e.g., 60 behaviors across two time frames - lifetime and past 12 months) and by collecting this information by perpetrator. Among the greatest challenges of analyzing NISVS data is to link all these variables together by perpetrator such that data elements can be combined in a meaningful way. The orientation section provides important information and examples to help users understand the challenges of trying to analyze the data with a typical respondent-level approach and offers guidance for taking a perpetrator-level approach that more closely maps onto how the data are collected in NISVS. Examples are provided to illustrate how to take the respondent-level raw data, create a perpetrator database, and then convert back to a respondent-level dataset for analysis.Exploration of the raw dataset is recommended to understand the full extent of these challenges and the complexity of data.In order to protect respondent anonymity and prevent disclosure risk, all perpetrator names and/or initials have been anonymized as unique alphanumerical IDs (e.g., PC0001, PC0002). Additionally, any initials noted in other string fields have been anonymized as "[INITIALS]".Please note that analyses should not be conducted at the county level or below.