| Statistics in Brief | October 1995 |
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Contact: Kathryn Chandler 202-219-1767
Authors:
Kathryn Chandler,
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This report presents information on personal student victimization from a national survey of 6th- through 12th-grade students conducted in the spring of 1993. The data reported are from the 1993 National Household Education Survey (NHES:93) conducted by Westat for the National Center for Education Statistics. This report is based upon the responses of the 6,504 students in grades 6 through 12 who were surveyed.3 Weights were applied to make the survey estimates applicable to the entire population of children in grades 6 through 12.4.4
The estimates provided here reflect only incidents that occurred at school, including those that may have happened at school-related events, such as sports activities, that are held during the school day, or on the way to or from school. Studies such as the National Crime Victimization Survey have typically defined "victimization" as direct personal experience of threats or harm. This report expands the definition of victimization to include knowledge or witness of crime or incidents of bullying at school. The American Psychological Association Commission on Violence and Youth asserts, for example, that "even youth who are not direct victims of violence may be victimized by the chronic presence of violence in their communities."5 Certainly the same would be applicable to schools. Students who have reason to fear for their safety at school would encounter a very different learning environment than would students who have no reason to worry about becoming victims of crime or threats at school.
The NHES:93 results suggest that unsafe conditions at school are a reality for most U.S. students (table 1). Half of 6th- through 12th-grade students personally witnessed some type of crime or victimization at school, and about one out of eight students reported being directly victimized at school. The findings also suggest that students at some schools may be more vulnerable than students at other schools.
Robbery and physical attack were measured because they are occurrences commonly reported in the media. "Physical attack" included students getting into fights at school as well as other types of physical assault. Preliminary research conducted during the design phase of the NHES:93 suggested that fist fights at school are treated as serious infractions by school administrators, and students themselves view them as dangerous. Students are physically and emotionally victimized by fights as well as by being attacked. Bullying also jeopardizes the well-being of students.6 It, too, contributes to an adverse school environment.
A large majority of students in the 6th through 12th grades, 71 percent, reported having knowledge of bullying, physical attack, or robbery at their schools during the current school year (figure 1 and table 1). The greatest percentage of students (56 percent) reported that bullying had occurred in their schools, followed by physical attack (43 percent), and robbery (12 percent). At least one incident of bullying, physical attack, or robbery was witnessed by about half of all students (56 percent). Given these reports, fear of threats or crime at school is rather low: 25 percent of students reported being worried about being victimized at school. Approximately one-third of 6th- through 12th-grade students reported having witnessed a physical attack at school, and I out of 10 student worried about being attacked at school.
Twelve percent of students, or about one out of eight, reported having been directly and personally victimized at school during the current school year. Physical attack, a major source of public concern, was reported by a total of 4 percent of students, while victimization by bullying was reported by 8 percent (figure 1 and table 2). Robbery, or having things taken by force or threat of force, was uncommon, with only about 1 percent of students reporting that they were victimized in this manner.
* Students who reported more than one type of incident are included in the overall victimization percentages only one time.
SOURCE: U.S. Department of Education, National Center for Educational Statistics, National Household Education Survey.
Attending school in an environment where disturbing events are known to happen and have been witnessed may have an impact upon students' sense of security, potentially contributing to less effective learning. According to students, incidents of bullying, physical attack, or robbery occurred in schools at all grade levels, and a majority of students witnessed at least one of these incidents (table 1). Witnessing these types of incidents did not vary significantly for students at schools of different grade levels. Nevertheless, students' worry about victimization decreased after middle or junior high school:
Perhaps the most traumatizing exposure to danger at school is through personal experience. Although more students knew about or had seen an incident than had been personally a victim, many students were also the direct targets of crime and threats at school, and this is more likely to be the case for middle or junior high school students than for high school students.
Bullying appears to take place more in middle or junior high schools than in high schools, and the difference between the percentages of students in those schools reporting victimization is largely attributable to that type of incident:
Differences between public and private schools. The type of school that a youth attended was also associated with the likelihood of exposure to crime or threats. Eighty-one percent of 6th- through 12th-grade students attended public schools to which they were assigned, 11 percent attended public schools chosen by the family, and 8 percent attended private schools. In general, students in public schools had more knowledge of and experience with crime and threats than children in private schools:
However, only students in assigned public schools were significantly more likely than students in private schools to report that they had been directly victimized:
Differences did exist between students attending private school versus those attending either assigned or chosen public schools in their reports of personal victimization by physical attack.
Differences by school size. Students at larger schools are more likely than students at the smallest schools to be exposed to bullying, physical attack, or robbery. A greater percentage of students at schools containing 600 or more students than those attending schools of fewer than 300 students reported knowledge of crime or threats at school and witnessing crime. However,
Differences by school racial composition and student's race/ethnicity. Exposure to crime and threats at school crosses racial and ethnic boundaries. Overall, students' perceptions of the safety of their schools varied little by the student's race or ethnicity and the school racial composition. The majority of both black and white students in schools with varying racial compositions reported having heard about and having seen crime or threats (table 1):
Differences by sex. Crime and threats at school affect both boys and girls. Seventy-one percent of male and 70 percent of female students reported knowing about bullying, physical attack, or robbery at school; witnessing these events and worrying about them also did not differ by the sex of the student (table 1). Male and female students did differ, however, when it came to having been personally victimized at school:
Students exposed to crime or threats and worried about becoming victims at school are experiencing a learning environment that is seriously deficient. America needs to ensure that schools are communities of teachers and learners, where learning can take place in a secure environment.
The School Safety and Discipline (SS&D) component of the NHES:93, which is the basis of this report, included a sample of students in grades 3 through 12. Two instruments were used to collect data on the school experiences of these students. A household Screener, administered to an adult member of the household, was used to determine whether any children of the appropriate ages lived in the household, to collect information on each household member, and to identify the appropriate parent/guardian respondent. If one or two eligible children resided in the household, interviews were conducted about each child. If more than two eligible children resided in the household, two children were randomly sampled as interview subjects. For households with children who were sampled for the survey, SS&D interviews were conducted with the parent/guardian most knowledgeable about the care and education of each child. If an eligible youth resided in a household in which no adult was acting in a caretaking capacity for him or her, then that "emancipated" youth responded to the interview. A sample of youth in grades 6 through 12 was also interviewed following the completion of the parent interview about the child. This report was based on the responses of the students in grades 6 through 12.
Nonsampling errors. Nonsampling error is the term used to describe variations in the estimates that may be caused by population coverage limitations and data collection, processing, and reporting procedures. The sources of nonsampling errors are typically problems like unit and item nonresponse, the differences in respondents' interpretations of the meaning of the questions, response differences related to the particular time the survey was conducted, and mistakes in data preparation.
In general, it is difficult to identify and estimate either the amount of nonsampling error or the bias caused by this error. In the NHES:93 survey, efforts were made to prevent such errors from occurring and to compensate for them where possible. For instance, during the survey design phase, focus groups and cognitive laboratory interviews were conducted for the purpose of assessing respondent knowledge of the topics, comprehension of questions and terms, and the sensitivity of items. The design phase also entailed over 500 staff hours of CATI instrument testing and a pretest in which over 275 interviews were conducted.
An important nonsampling error for a telephone survey is the failure to include persons who do not live in households with telephones. About 92 percent of all students in grades 3 through 12 live in households with telephones. Estimation procedures were used to help reduce the bias in the estimates associated with children who do not live in telephone households.8
Sampling errors. The sample of telephone households selected for the NHES:93 is just one of many possible samples that could have been selected. Therefore, estimates produced from the NHES:93 sample may differ from estimates that would have been produced from other samples. This type of variability is called sampling error because it arises from using a sample of household with telephones, rather than all households with telephones.
The standard error is a measure of the variability due to sampling when estimating a statistic; standard errors for estimates presented in this report were computed using a jackknife replication method. Standard errors can be used as a measure of the precision expected from a particular sample. The probability that a complete census count would differ from the sample estimate by less than one standard error is about 68 percent. The chance that the difference would be less than 1.6S standard errors is about 90 percent; and that the difference would be less than 1.96 standard errors, about 95 percent.
Standard errors for all of the estimates are presented in the tables. These standard errors can be used to produce confidence intervals. For example, an estimated 12 percent of students reported that they had been victimized at school. This figure has an estimated standard error of .7. Therefore, the estimated 95 percent confidence interval for this statistic is approximately 10.6 to 13.4 percent.
Statistical tests. The tests of significance used in this analysis are based on Student's t statistics. As the number of comparisons at the same significance level increases, it becomes more likely that at least one of the estimated differences will be significant merely by chance, that is, it will be erroneously identified as different from zero. Even when there is no statistical difference between the means or percentages being compared, there is a 5 percent chance of getting a significant t value of 1.96 from sampling error alone. As the number of comparisons increases, the chance of making this type of error also increases.
A Bonferroni adjustment was used to correct significance tests for multiple comparisons. This method adjusts the significance level for the total number of comparisons made with a particular classification variable. All the differences cited in this report are significant at the .05 level of significance after a Bonferroni adjustment.
2W. Mansfield, D. Alexander, and E. Farris, Fast Response Survey System, Teacher Survey on Title, Disciplined, and Drug-Free Schools, FRSS 42, U.S. Department of Education, National Center for Education Statistics, 1991 (NCES 91-091)
3A total of 12,680 parents of student in grades 3 through 12 and 6,504 students in grades 6 through 12 were interviewed in the NHES:93.
4The survey data were weighted to the entire U.S. population of youth in grades 6 through 12 those youth living in households with telephones.
5The American Psychological Association, Violence and Youth: Psychology's Response Volume 1: Summary Report of the American Psychological Association Commission on Violence and Youth, 1993, p. 42.
6R.J. Hazier, J.H. Hoover, and R. Oliver, "What Kids Say About Bullying," The Executive Educator, November 1992, pp. 20-22.
7Elementary schools were defined as having a lowest grade of 3 or less and a highest grade of 8 or less. Middle or junior high school schools were defined as having a lowest arid a highest grade of 4 through 9. Senior high schools were defined as having a lowest grade of 7 through 12 and a highest grade 10 through 12. Schools that did not precisely meet these qualifications were classified as combined."
8For additional information on telephone coverage issues and (Estimation procedures to correct for coverage biases, see J.M. Brick and J. Burke, Telephone Coverage Bias of 14- to 21-year-olds air 3 to 5-year-olds. U.S. Department of Education, National Center for Education Statistics, 1992 (NCES 92-101).
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