By Lauren Musu-Gillette
Obtaining higher education can be an important step towards better occupational and economic outcomes. Lower levels of educational attainment are associated with higher unemployment rates and lower earnings. Although an increasing number of students have enrolled in postsecondary institutions over the last several decades, there are still differences in the characteristics of students who complete various levels of postsecondary education.
One particularly important issue to explore is differences in educational attainment by socioeconomic status (SES) to investigate the opportunities for social mobility that education can provide. Recently, NCES published a spotlight indicator on this topic to be included in the annual Condition of Education report. The report uses data from the Education Longitudinal Study of 2002 (ELS:2002), which surveyed students at different points during their secondary and postsecondary years. Students were first surveyed in 2002 when they were sophomores in high school. Then, their highest level of education was assessed ten years later, in 2012.
Percentage distribution of highest level of educational attainment of spring 2002 high school sophomores in 2012, by socioeconomic status (SES)
1 Includes education at any type of postsecondary institution, but with no earned postsecondary credential.
SOURCE: U.S. Department of Education, National Center for Education Statistics, Education Longitudinal Study of 2002 (ELS:2002). See Digest of Education Statistics 2014, table 104.91.
Several key findings highlight differences in educational attainment by SES. For example:
- Seven percent of low-SES students had not completed high school by 2012, greater than the percentages of middle- and high-SES students who had not completed high school by 2012;
- By 2012, Fourteen percent of low-SES students who were high school sophomores in 2002 had earned a bachelor’s or higher degree, smaller than 29 percent of middle-SES students and 60 percent of high-SES students who earned a bachelor’s or higher degree; and
- Compared to high-SES students, smaller percentages of low- and middle-SES students who performed in the highest quartile of math achievement during their sophomore year of high school went on to complete a bachelor’s degree by 2012.
Percentage of spring 2002 high school sophomores who earned a bachelor's degree or higher by 2012, by socioeconomic status (SES) and mathematics achievement quartile in 2002
SOURCE: U.S. Department of Education, National Center for Education Statistics, Education Longitudinal Study of 2002 (ELS:2002). See Digest of Education Statistics 2014, table 104.91.
The following video describes additional findings from the report:
By Elise Christopher and Lauren Musu-Gillette
Researchers, educators, and policy makers are interested in knowing what makes students ready for college and careers, and the Department of Education has identified college and career readiness as a priority. In 2011, the Department announced that it would allow for Elementary/Secondary Education Act (ESEA) flexibility for states that developed plans for reforms in certain key areas of education, including college and career readiness. In order to investigate what factors may be associated with college and career outcomes, several important questions arise. For example:
- How do students’ high school experiences relate to whether or not they have to enroll in remedial courses in college?
- How do these same experiences relate to whether or not they successfully complete college?
- What high school and college experiences are associated with successful career choices?
Questions like these are best answered with longitudinal surveys, which track the paths of students as they transition from school to college and the work force. The longitudinal surveys conducted by NCES contain a wide variety of survey components that enable researchers to address policy-related topics across disciplines. Such longitudinal data can be expensive and time consuming to collect, particularly if they are nationally representative with sufficient sample sizes to analyze barriers faced by disadvantaged young adults. Building a sound statistical foundation for these important analyses is one of the key contributions NCES makes when producing datasets such as the Education Longitudinal Study of 2002 (ELS:2002) for the education and research community.
ELS:2002 began by collecting data from a nationally representative cohort of students who were in the 10th grade in 2002. Follow up surveys were collected from these same students in 2004, 2006, and 2012. Some students enrolled in postsecondary institutions after high school, while others entered the workforce. ELS:2002 can be used to examine the educational and occupational paths of students over time, as well as the different factors that are associated with those paths.
ELS:2002 collected a wide variety of information including students’ school experiences and activities, plans for the future, family circumstances, and beliefs about themselves. Many variables in the ELS:2002 dataset are available to the public with no restrictions. The data are easily accessible for individuals who may be interested in examining how a variety of different backgrounds and experiences may affect students’ college and career readiness. Some variables are not in the public datasets to ensure that identities of survey respondents are protected, but are available to researchers who apply for a restricted use license.
Use of datasets such as ELS:2002 can assist researchers, educators and policy makers in answering important questions about how to prepare our students for college and careers. For more information on accessing and using ELS:2002 data, please refer to information about available data, see our detailed selection of users manuals, or email the ELS:2002 staff.
By Lauren Musu-Gillette
It is important for all students to feel safe at their schools and on their campuses. As one way to gauge the safety of college campuses, the Jeanne Clery Disclosure of Campus Security Police and Campus Crime Statistics Act, known as the Clery Act, requires colleges participating in Title IV student financial aid programs to report certain data on campus crime. Since 1999, data on campus safety and security have been reported by institutions through the Campus Safety and Security Survey. Types of on-campus crime that institutions are required to report include: burglaries; forcible sex offenses; motor vehicle thefts; and aggravated assaults. Additionally, a 2008 amendment to the Clery Act requires institutions to report data on hate crime incidents on campus.
Overall, reports of crime on college campuses have decreased in recent years. In 2012, there were 29,500 criminal incidents against persons and property on campus at public and private 2-year and 4-year postsecondary institutions that were reported to police and security agencies, representing a 4 percent decrease from 2011. Looking at on-campus crime patterns over a longer period, the overall number of crimes reported between 2001 and 2012 decreased by 29 percent.
In terms of specific crimes, the number of on-campus crimes reported in 2012 was lower than in 2001 for every category except forcible sex offenses. The number of reported forcible sex crimes on campus increased from 2,200 in 2001 to 3,900 in 2012 (a 77 percent increase). More recently, the number of reported forcible sex crimes increased from 3,400 in 2011 to 3,900 in 2012 (a 15 percent increase). It is important to keep in mind that data are available only for reported crimes. Thus, the increase could reflect an actual increase in the number of forcible sex crimes, or an increase in the number of people who report the crime when it occurs.
Hate crime reports are relatively rare among the more than 4,700 campuses offering 2- and 4-year programs. In 2012, there were 791 reported hate crime incidents that occurred on the campuses of these public and private 2-year and 4-year institutions. For the three most common types of hate crimes reported in 2012 (vandalism, intimidation, and simple assault), the most frequent category of bias associated with these crimes was race, and the second most frequent was sexual orientation.
The video below presents some additional information about crime and safety on college campuses:
For more information, see Indicators of School Crime and Safety: 2014.
By Lauren Musu-Gillette
High school dropouts face increasingly high rates of unemployment and low annual earnings. Therefore, it is important to have an accurate representation of the number of high school dropouts in the U.S.
Median annual earnings of full-time year-round wage and salary workers ages 25-34, by educational attainment: 2013
1 Total represents median annual earnings of all full-time year-round wage and salary workers ages 25–34.
2 Total represents median annual earnings of young adults with a bachelor's degree or higher.
NOTE: Full-time year-round workers are those who worked 35 or more hours per week for 50 or more weeks per year.
SOURCE: U.S. Department of Commerce, Census Bureau, Current Population Survey (CPS), See Digest of Education Statistics 2014, table 502.30.
There are several different ways to measure the number and percentage of high school dropouts. The status dropout rate measures the percentage of individuals who are not in school and have not earned a high school diploma or alternative credential. The Condition of Education uses the Census Bureau’s Current Population Survey (CPS) to provide an annual update on the percentage of 16- through 24-year-olds who meet these criteria.
Another way of looking at high school non-completion is to examine the event dropout rate. This rate estimates the percentage of high school students who left high school between the beginning of one school year and the beginning of the next without earning a high school diploma or alternative credential. While the definition of dropout is similar in both these measures, the populations are different. The event dropout rate only includes students who left high school over the course of a given year whereas the status dropout rate can include those who dropped out over many years and who may not have attended high school at all. The event dropout rate can be calculated from the CPS or from data reported by state education agencies to NCES through the CCD collection.
As an example of how these rates can differ, the CCD event dropout rate from October 2011 to October 2012 was 3.4 percent, while the 2012 CPS status dropout rate was 6.6 percent for 16- to 24-year-olds. The broader age range and related time period captured in the status dropout rate captures a larger percentage of high school non-completers. Both rates are important because they offer different types of information about high school dropouts. However, they can also offer complementary information. For example, both the event dropout rate and the status dropout rate have declined since the 90s.
See Trends in High School Dropout and Completion Rates in the United States for more information on current dropout statistics.
By Grace Kena
Children’s skills early in school are of interest to educators and policy makers due, in part, to their association with school achievement in the later grades. NCES assesses children’s knowledge and measures their skills through data collections such as the Early Childhood Longitudinal Study, Kindergarten Class of 2010–11 (ECLS-K:2011).
This study collected information from a sample of students at kindergarten entry as well as from their parents and their teachers, and will continue to follow the students through the early elementary grades. Through the ECLS-K:2011, NCES conducted direct assessments and gathered information related to other aspects of students’ development, including socioemotional development and approaches to learning. As part of the study, students’ teachers were asked to report on how the kindergartners approached learning by examining and reporting on seven behaviors: paying attention, persisting in completing tasks, showing eagerness to learn new things, working independently, adapting easily to changes in routine, keeping belongings organized, and following classroom rules.
Findings from The Condition of Education 2015 show that first-time kindergartners who demonstrated these positive learning behaviors “very often” in the fall of kindergarten had higher average reading and mathematics assessment scores than kindergartners who demonstrated these behaviors less often. First-time kindergartners who “never” exhibited the seven approaches to learning behaviors in the fall of kindergarten not only scored lower in reading and mathematics in the fall than children who had more positive learning approaches, but they continued to score lower than the other groups when the children were assessed again in the spring of their kindergarten year and in the spring of their first grade year.
Average mathematics scale scores of fall 2010 first-time kindergartners, by frequency of positive approaches to learning behaviors in fall of kindergarten year: Fall 2010, spring 2011, and spring 2012
NOTE: Possible scores for the mathematics assessments range from 0 to 96. Frequency of positive approaches to learning behaviors is derived from kindergartners' fall 2010 Approaches to Learning scale scores.
SOURCE: U.S. Department of Education, National Center for Education Statistics, ECLS-K:2011. See Digest of Education Statistics 2014, table 220.40.
As an example of these differences, the average fall kindergarten mathematics score for students who “very often” showed positive learning behaviors was 36 points, compared to 18 points for children who “never” demonstrated positive learning behaviors. When measured again in the spring of the kindergarten year, the average mathematics score for children who had “never” demonstrated positive learning behaviors at the beginning of the kindergarten year (29 points) remained below the fall average score for those children who had exhibited positive approaches to learning “very often.”
For more information on approaches to learning and kindergarten and first grade achievement, including breakdowns for children of different demographic groups, see the spotlight on this topic in The Condition of Education 2015, or watch the video below.