IES Blog

Institute of Education Sciences

NCES Releases Two Short Reports on Shortened School Weeks and High School Start Times

Recently, NCES released two short analyses using data from the 2017–18 National Teacher and Principal Survey.

The first report focuses on the practice of shortened school weeks in U.S. public schools. About 1.9 percent of public schools in the United States operate on a shortened-week schedule (less than 5 days per week). Some of the reasons school districts operate schools on such schedules include attracting high-quality teachers and reducing costs. The report finds that shortened school weeks are more prevalent at rural, western, and smaller schools, and this practice varies by state.



The second report focuses on high school start times. The American Academy of Pediatrics recommends that middle and high schools start at 8:30 a.m. or later to give students the opportunity to get a sufficient amount of sleep. The report looks at average public high school start times by various school characteristics and state. Findings include the following:

  • A higher percentage of public high schools in cities (26 percent) than of those in suburban (18 percent), town (13 percent), and rural (11 percent) areas reported a school starting time of 8:30 a.m. or later.
     
  • A higher percentage of charter schools (24 percent) than of traditional public schools (17 percent) reported a school starting time of 8:30 a.m. or later.

Both reports are based on data collected by NCES as part of the National Teacher and Principal Survey (NTPS). NTPS is a nationally representative survey of teachers and principals from public and private schools, and for the public sector, NTPS is state representative. NTPS uses scientifically proven methods to select a small sample of school faculty to provide information about major education issues related to school and staffing characteristics while minimizing the burden on teacher and principal communities. Without the cooperation and participation of districts and their teachers and principals, reports such as these could not be produced.

 

By Cris de Brey, NCES

The High School and Beyond Midlife Study

Over the years, NCES has conducted several longitudinal studies that collect information on a representative cohort of high school students and follow the students’ outcomes through postsecondary education and/or entry into the workforce. These studies have led to important research on the educational trajectories of young adults.

But what happens after that? A recent data collection provides some answers by following up with survey participants later in life.

In 2014–15, the High School and Beyond (HS&B) Midlife Study collected information from a cohort of individuals in their early- to mid-50s, all of whom had first completed an HS&B survey in 1980 when they were in high school. By linking high school survey data with information collected 35 years later, this new collection offers an exciting opportunity to conduct research on the long-term outcomes of education.

Some preliminary research using the HS&B Midlife Study shows that high school and college experiences continue to play important roles in individuals’ lives into midlife.

 

Education (Grodsky and Doren 2015)

  • Between the ages of 28 and 50, a majority of cohort members (61 percent) enrolled in some sort of formal education, and in the process, they earned higher level degrees. By age 50,
     
    • 12 percent had earned a master’s, graduate, or professional degree, compared with 4 percent at age 28.
       
    • 36 percent had earned a bachelor’s or graduate degree, compared with 27 percent at age 28.
       
    • 36 percent had earned only a high school diploma or less, compared with 54 percent at age 28.
       
  • Gaps in educational attainment by gender, race/ethnicity, and parental education observed in early adulthood remained largely unchanged in midlife, with a notable exception:
     
    • A higher proportion of cohort adults whose parents had higher levels of education enrolled in graduate school between the ages of 28 and 50, which may be related to high school academic achievement (e.g., grades, test scores).

 

Labor Force Participation (Bosky 2019)

  • Men and women who took college preparatory math coursework in high school (i.e., Algebra II or higher) had lower unemployment at midlife, even after controlling for whether they completed a bachelor’s degree. In addition,
     
    • Women who earned higher GPAs were employed at higher rates.
       
    • Men who scored higher on math achievement tests were employed at higher rates.
       
  • At midlife, the percentage of workers who held jobs with low pay and/or no health or retirement benefits was higher for women than for men, even among workers with similar levels of educational attainment. This gender gap was smaller among people who had taken advanced math coursework in high school (i.e., Algebra II or above).
     
  • Across levels of education, higher percentages of women than men experienced economic insecurity at midlife, as indicated by their perceived ability to pay for a large unexpected expense in the near-term. The percentage of women experiencing midlife economic insecurity was lower for those with a college degree than for those without a college degree. Also,
     
    • For people without a college degree, higher math achievement test scores were associated with lower rates of economic insecurity, even after controlling for work, health, and family characteristics at midlife.
       
    • A lower percentage of women who had taken college preparatory math coursework in high school were economically insecure at midlife, regardless of whether they had completed a bachelor’s degree.
       
    • A lower percentage of married women than unmarried women were economically insecure. This gap was largest among women without a college degree.

 

Health

  • Adolescents who took coursework that was more advanced in high school reported better health and physical functioning at midlife (Carroll et al. 2017).
     
  • Earning a bachelor’s degree by age 28 predicted body weight at midlife. This relationship differed by sex (Pattison 2019).
     
  • Mortality risk was higher among the following groups:
     
    • People who had not taken college preparatory math coursework in high school.
       
    • People with more frequent absences from high school. (Warren et al. 2017)
       

Survey data from the HS&B Midlife Study are now available for researchers. In order to protect the privacy of survey respondents, the dataset is available only to researchers who have a restricted-use data license. For more information about the survey, visit https://sites.utexas.edu/hsb/, and for more information on the restricted-use data program, visit https://nces.ed.gov/pubsearch/licenses.asp.  

 

Funding Acknowledgement

The 2014–2015 HS&B Midlife Study was supported by a combination of government and nongovernment sources, including the Alfred P. Sloan Foundation (Grant 2012-10-27), the Institute for Education Sciences of the U.S. Department of Education (Grant R305U140001), and the National Science Foundation (Grants HRD1348527 and HRD1348557). It also benefited from direct funding from NORC at the University of Chicago and support provided by the Eunice Kennedy Shriver National Institute for Child Health and Human Development (NICHD) to the University of Texas at Austin (R24-HD042849), the University of Wisconsin-Madison (P2C-HD047873), and the University of Minnesota (P2C-HH041023).

 

References

Bosky, A.L. (2019). Academic Preparation in High School and Gendered Exposure to Economic Insecurity at Midlife (Doctoral dissertation). Retrieved from https://repositories.lib.utexas.edu/bitstream/handle/2152/76122/BOSKY-DISSERTATION-2019.pdf?sequence=1&isAllowed=y.

Carroll, J.M., Muller, C., Grodsky, E., and Warren, J.R. (2017). Tracking Health Inequalities from High School to Midlife. Social Forces, 96(2): 591–628. doi: 10.1093/sf/sox065.

Grodsky, E., and Doren, C. (2015). Coming in to Focus: Education and Stratification at Midlife. Paper presented at the Invited Lecture at Columbia University, March 26, 2015, New York.

Pattison, E. (2019). Educational Stratification and Obesity in Midlife: Considering the Role of Sex, Social Class, and Race/Ethnicity (Doctoral dissertation). Retrieved from https://repositories.lib.utexas.edu/bitstream/handle/2152/76097/PATTISON-DISSERTATION-2019.pdf?sequence=1&isAllowed=y.

Warren, J.R., Milesi, C., Grigorian, K., Humphries, M., Muller, C., and Grodsky, E. (2017). Do Inferences About Mortality Rates and Disparities Vary by Source of Mortality Information? Annals of Epidemiology, 27(2): 121–127. doi: 10.1016/j.annepidem.2016.11.003.

 

By Chandra Muller, University of Texas at Austin, and Elise Christopher, NCES

Working Toward a Successful National Data Collection: The ECLS Field Test

The National Center for Education Statistics (NCES) conducts some of the most complex education surveys in the world, and we work hard to make these surveys as effective and efficient as possible. One way we make sure our surveys are successful is by conducting multiple tests before we fully launch a national data collection.

Even prior to a field test, NCES develops survey materials and procedures using much smaller-scale cognitive laboratory testing and focus-group processes. These initial development procedures help ensure that materials are clear and procedures are understood before we conduct field testing with larger and more representative groups of respondents. Then, we launch the field tests to test data-collection operations and survey processes and procedures. Field tests are small-scale surveys that include a range of respondents and are designed to test the survey questionnaires and survey administration procedures in a real-world situation prior to the launch of a major study. The field test results allow us to make any necessary adjustments before starting the national data collection. Field tests also allow us to test specific survey items and ensure that they are valid and reliable. Without a field test, we could risk spending the public’s time and money on large data-collection efforts that do not produce the intended information.

NCES is about to begin the Early Childhood Longitudinal Study, Kindergarten Class of 2022–23 (ECLS-K:2023) with a field test early this year. The ECLS-K:2023 will focus on children’s early school experiences, beginning with preschool and continuing through fifth grade. From the spring of 2022 through the spring of 2028, we will collect national study data from children and their parents, teachers, and school administrators to answer questions about children’s early learning and development, transition into kindergarten and beyond, and experiences in the elementary grades. 

Although the ECLS-K:2023 will be similar in many ways to prior ECLS kindergarten studies, we are adding a round of data collection prior to the children’s kindergarten year—the national spring 2022 preschool round. For this preschool survey, we’ll send an invitation to participate to a sample of residential addresses within selected areas of the United States. Potential participants will first be asked to fill out a brief screener questionnaire. If they report that an ECLS-eligible child is in the household, they will be asked additional important questions about early childhood topics, such as their child’s literacy, language, math, and social skills; activities done with the child in the home (e.g., singing songs, playing games, reading); and characteristics of any early care and education (i.e., child care) arrangements for the child.   

Because the ECLS-K:2023 preschool data need to be comprehensive and reliable so that they can inform public discussions and policies related to early elementary education, it’s crucial that we test our procedures and questions for this new preschool round by conducting a field test in early 2020.  

If you receive a letter about participating in the 2020 ECLS field test, you’re being selected to represent thousands of households like yours and provide NCES with the data we need to make decisions about how to best conduct the ECLS-K:2023. The participation of all the selected households who receive our mailings, even those without children, is essential for a successful field test and, ultimately, a successful ECLS-K:2023.

If you are selected for the ECLS field test and have any questions about participating, please visit the participant information page

For more information on the ECLS-K:2023 or its 2020 field test, please email the ECLS study team.

For information about other ECLS program studies, please visit https://nces.ed.gov/ecls/.

 

By Jill Carlivati McCarroll

New Report Highlights Progress and Challenges in U.S. High School Dropout and Completion Rates

A new NCES report has some good news about overall high school dropout and completion rates, but it also highlights some areas of concern.

Using a broad range of data, the recently released Trends in High School Dropout and Completion Rates in the United States report shows that the educational attainment of young adults has risen in recent decades. The public high school graduation rate is up, and the status dropout rate (the percentage of 16- to 24-year-olds who are not enrolled in school and have not completed high school) is down. Despite these encouraging trends, there are significant disparities in educational attainment among young adults in the United States. The report shines new light on these disparities by analyzing detailed data from the U.S. Census Bureau.

For large population groups, the report provides status dropout rates calculated using annual data from the American Community Survey (ACS), administered by the U.S. Census Bureau. For example, in 2017, some 5.4 percent of 16- to 24-year-olds who were not enrolled in high school lacked a high school diploma or equivalent credential.

For smaller population groups, there are not enough ACS respondents during any given year to allow for precise and reliable estimates of the high school status dropout rate. For these demographic subgroups, NCES pools the data from 5 years of the ACS in order to obtain enough respondents to accurately describe patterns in the dropout rate.

For example, while the overall status dropout rate for Asian 16- to 24-year-olds was below the national average in 2017, the rates for specific subgroups of Asian young adults varied widely. Based on 5 years of ACS data, high school status dropout rates among Asian 16- to 24-year-olds ranged from 1.1 percent for individuals of Korean descent to 23.2 percent for individuals of Burmese descent. These rates represent the “average” status dropout rate for the period from 2013 to 2017. They offer greater precision than the 1-year estimates, but the 5-year time span might make them difficult to interpret at first glance. 

 


Figure 1. Percentage of high school dropouts among persons 16 through 24 years old (status dropout rate), by selected Asian subgroups: 2013–2017

‡ Reporting standards not met. Either there are too few cases for a reliable estimate or the coefficient of variation (CV) is 50 percent or greater.
If the estimation procedure were repeated many times, 95 percent of the calculated confidence intervals would contain the true status dropout rate for the population group.
NOTE: “Status” dropouts are 16- to 24-year-olds who are not enrolled in school and who have not completed a high school program, regardless of when they left school. People who received an alternative credential such as a GED are counted as high school completers. This figure presents 5-year average status dropout rates for the period from 2013 to 2017. Use of a 5-year average increases the sample size, thereby reducing the sampling error and producing more stable estimates. Data are based on sample surveys of the entire population of 16- to 24-year-olds residing within the United States, including both noninstitutionalized persons (e.g., those living in households, college housing, or military housing located within the United States) and institutionalized persons (e.g., those living in prisons, nursing facilities, or other healthcare facilities). Estimates may differ from those based on the Current Population Survey (CPS) because of differences in survey design and target populations. Asian subgroups exclude persons of Hispanic ethnicity.
SOURCE: U.S. Department of Commerce, Census Bureau, American Community Survey (ACS), 2013–2017.


 

The 5-year ACS data can also be used to describe status dropout rates for smaller geographic areas with more precision than the annual ACS data. For example, the average 2013–2017 status dropout rates ranged from 3.8 percent in Massachusetts to 9.6 percent in Louisiana. The 5-year ACS data allowed us to calculate more accurate status dropout rates for each state and, in many cases, for racial/ethnic subgroups within the state. Access the complete state-level dropout rates by race/ethnicity here.
 


Figure 2. Percentage of high school dropouts among persons 16 through 24 years old (status dropout rate), by state: 2013–2017

NOTE: “Status” dropouts are 16- to 24-year-olds who are not enrolled in school and who have not completed a high school program, regardless of when they left school. People who received an alternative credential such as a GED are counted as high school completers. This figure presents 5-year average status dropout rates for the period from 2013 to 2017. Use of a 5-year average increases the sample size, thereby reducing the sampling error and producing more stable estimates. Data are based on sample surveys of the entire population of 16- to 24-year-olds residing within the United States, including both noninstitutionalized persons (e.g., those living in households, college housing, or military housing located within the United States) and institutionalized persons (e.g., those living in prisons, nursing facilities, or other healthcare facilities). Estimates may differ from those based on the Current Population Survey (CPS) because of differences in survey design and target populations.
SOURCE: U.S. Department of Commerce, Census Bureau, American Community Survey (ACS), 2013–2017. See table 2.3.


 

For more information about high school dropout and completion rates, check out the recently released Trends in High School Dropout and Completion Rates in the United States report. For more information about the 5-year ACS datasets, visit https://www.census.gov/programs-surveys/acs/guidance/estimates.html.

 

By Joel McFarland

NCES’s Top Hits of 2019

As 2019 comes to an end, we’re taking stock of NCES’s most downloaded reports, most viewed indicators, Fast Facts, and blog posts, and most engaging tweets over the past year. As you reflect on 2019 and kick off 2020, we encourage you to take a few minutes to explore the wide range of education data NCES produces.

 

Top Five Reports, by PDF downloads

1. Condition of Education 2019 (8,526)

2. Condition of Education 2018 (5,789)

3Status and Trends in the Education of Racial and Ethnic Groups 2018 (4,743)

4. Student Reports of Bullying: Results From the 2015 School Crime Supplement to the National Crime Victimization Survey (4,587)

5. Digest of Education Statistics 2017 (4,554)

 

Top Five indicators from the Condition of Education, by number of web sessions

1. Children and Youth With Disabilities (86,084)

2. Public High School Graduation Rates (68,977)

3. Undergraduate Enrollment (58,494)

4. English Language Learners in Public Schools (50,789)

5. Education Expenditures by Country (43,474)

 

Top Five Fast Facts, by number of web sessions

1. Back to School Statistics (227,510)

2. College Graduate Rates (109,617)

3. Tuition Costs of Colleges and Universities (107,895)

4. College Endowments (71,056)

5. High School Dropout Rates (67,408)

 

Top Five Blog Posts, by number of web sessions

1. Free or Reduced Price Lunch: A Proxy for Poverty? (5,522)

2. Explore Data on Mental Health Services in K–12 Public Schools for Mental Health Awareness Month (4,311)

3. Educational Attainment Differences by Students’ Socioeconomic Status (3,903)

4. Education and Training Opportunities in America’s Prisons (3,877)

5. Measuring Student Safety: Bullying Rates at School (3,706)

 

Top Five Tweets, by number of impressions

1. Condition of Education (45,408 impressions)

 

2. School Choice in the United States (44,097 impressions)

 

3. NAEP Music and Visual Arts Assessment (32,440 impressions)

 

4. International Education Week (29,997 impressions)

 

5. Pop Quiz (25,188 impressions)

 

Be sure to check our blog site and the NCES website in 2020 to keep up-to-date with NCES’s latest activities and releases. You can also follow NCES on Twitter, Facebook, and LinkedIn for daily updates and content.

 

By Thomas Snyder