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Institute of Education Sciences

Online Training for the 2019 NHES Early Childhood Program Participation Survey Data and Parent and Family Involvement in Education Survey Data

The NCES National Household Education Survey (NHES) program administered two national surveys in 2019—the Early Childhood Program Participation (ECPP) survey and the Parent and Family Involvement in Education (PFI) survey. The ECPP survey collects information on young children’s care and education, including the use of home-based care with both relatives and nonrelatives and center-based care and education. The survey examines how well these care arrangements cover work hours, costs of care, location of care, the process of selecting care, and factors making it difficult to find care. The PFI survey collects information on a range of issues related to how families connect to schools, including information on family involvement with schools, school choice, homeschooling, virtual education, and homework practices.

NCES released data from the 2019 NHES administration on January 28, 2021. For each of the two surveys, this release includes the following:

  • Public-use data files, in ASCII, CSV, SAS, SPSS, Stata, and R
  • Restricted-use data files (in formats listed above and with codebook)
  • Public-Use Data File Codebook
  • Data File User’s Manual (for both public-use and restricted-use files)

That’s a lot of information! How should you use it? We suggest you start by viewing the NHES online data Distance Learning Dataset Training modules. The modules provide a high-level overview of the NHES program and the data it collects. They also include important considerations to ensure that your analysis takes into account the NHES’s complex sample design (such as applying weights and estimating standard errors).   

You should first view the five general NHES modules, which were developed for the 2012 NHES data. These modules are:

  • Introduction to the NHES
  • Getting Started with the NHES Data
  • Data Collected Through the NHES
  • NHES Sample Design, Weights, Variance, and Missing Data
  • Considerations for Analysis of NHES Data

A sixth module explains key changes in the 2019 ECPP and PFI surveys compared to their respective 2012 surveys:

  • Introduction to the 2019 NHES Data Collection

The sixth module also provides links to the 2019 ECPP and PFI data, restricted-use licensing information, and other helpful resources.

Now you are ready to go! If you have any questions, please contact us at NHES@ed.gov.

By Lisa Hudson, NCES

NCES Releases First-Ever Response Process Dataset—A Rich New Resource for Researchers

The NCES data file National Assessment of Educational Progress (NAEP) Response Process Data From the 2017 Grade 8 Mathematics Assessment (NCES 2020-102; documentation NCES 2020-134) introduces a new type of data—response process data—which was made possible by NAEP’s transition from paper to digitally based assessments in mathematics and reading in 2017. These new datasets allow researchers to go beyond analyzing students’ answers to questions as simply right or wrong; instead, researchers can examine the amount of time students spend on questions, the pathways they take through the assessment sections, and the tools they use while solving problems. 

NAEP reporting has hinted previously at the promise of response process data. With the release of the 2017 mathematics assessment results, NCES included a feature on The Nation’s Report Card website to show the different steps students took while responding to a question that assessed their multiplication skills. The short video below shows that students used a total of 397 different sequences to group four digits into two factors that yield a given product. The most popular correct and incorrect answer paths are shown in the video. Response process data, such as those summarized in this example item, can open new avenues for understanding how students work through math problems and identifying more detailed elements of response processes that could lead to common math errors.



In the newly released data, researchers can access student response process data from two 30-minute blocks of grade 8 mathematics assessment questions (or a total of 29 test items) and a 15-minute survey questionnaire where students responded to questions about their demographic characteristics, opportunities to learn in and outside of school, and educational experiences. Researchers can explore logs of the response process data collected from each student along with a file containing students’ raw responses and scored responses, time stamps, and demographics. In addition, researchers can explore a file that summarizes defined features of students’ interactions with the assessment, such as the number of seconds spent on specific questions or the number of times the calculator was opened across all students.

To explore this response process dataset, interested researchers should apply for a restricted-use license and request access to the files through the NCES website. By providing this dataset to a wide variety of researchers, NCES hopes to encourage and enable a new domain of research on developing best practices for the use and interpretation of student response process data.

 

By Jan Marie Alegre and Robert Finnegan, Educational Testing Service

Why Do Parents Choose Schools for Their Children?

Have you ever wondered why parents choose a specific school for their child? New data from the Parent and Family Involvement (PFI) Survey of the National Household Education Surveys (NHES) program allow us to identify the factors that parents of K–12 students rate as “very important” when choosing a school. In the 2018–19 school year, 36 percent of students had parents who indicated that they had considered multiple schools for their child. Among these students, 79 percent had parents who indicated that the quality of teachers, principals, or other school staff was very important (figure 1). Other factors that a majority of students’ parents indicated as being very important include safety (including student discipline) (71 percent) and curriculum focus or unique academic programs (e.g., language immersion, STEM focus) (59 percent).


Figure 1. Among K–12 students whose parents considered multiple schools, percentage whose parents indicated that selected factors were “very important” when choosing child’s school, by school type: 2018–19

SOURCE: Hanson, R., and Pugliese, C. (2020). Parent and Family Involvement in Education: 2019 (NCES 2020-076). U.S. Department of Education. Washington, DC: National Center for Education Statistics.


Although parents of students attending different types of schools (i.e., public assigned schools, public chosen schools, private religious schools, or private nonreligious schools) rated most factors for choosing a school similarly, some differences were observed. For example, higher percentages of students in private nonreligious schools than of students in all other kinds of schools had parents who indicated that the following factors were very important when choosing a school:

  • Quality of teachers, principals, or other school staff (92 percent) (figure 1)
  • Curriculum focus or unique academic programs (74 percent) (figure 1)
  • Number of students in class (58 percent) (figure 2)

In addition, a higher percentage of students in private nonreligious schools (42 percent) than of students in public schools (30 percent for public assigned schools and 31 percent for public chosen schools) had parents who indicated that student body characteristics were very important when choosing a school (figure 2). Conversely, a lower percentage of students in private nonreligious schools (14 percent) than of students in any other school type (ranging from 22 to 29 percent) had parents who rated cost as very important.


Figure 2. Among K–12 students whose parents considered multiple schools, percentage whose parents indicated that selected factors were “very important” when choosing child’s school, by school type: 2018–19

SOURCE: Hanson, R., and Pugliese, C. (2020). Parent and Family Involvement in Education: 2019 (NCES 2020-076). U.S. Department of Education. Washington, DC: National Center for Education Statistics.


Thirty percent of students in public assigned schools had parents who reported that they had considered other schools for their child. What did parents of students in public assigned schools value more than other parents (figure 3)?

  • Extracurricular options (including before- and after-school programs): 31 percent of parents of students in public assigned schools indicated that this factor was very important, compared with 25 percent in public chosen schools and 24 percent in private religious schools.
  • Special facilities (e.g., gymnasium, planetarium, library): 26 percent of parents of students in public assigned schools indicated that this factor was very important, compared with 20 percent in public chosen schools and 15 percent in private religious schools.
  • Quality or availability of special education (including services for students with disabilities): 25 percent of parents of students in public assigned schools indicated that this factor was very important, compared with 13 percent in private religious schools and 17 percent in private nonreligious schools.

Figure 3. Among K–12 students whose parents considered multiple schools, percentage whose parents indicated that selected factors were “very important” when choosing child’s school, by school type: 2018–19

SOURCE: Hanson, R., and Pugliese, C. (2020). Parent and Family Involvement in Education: 2019 (NCES 2020-076). U.S. Department of Education. Washington, DC: National Center for Education Statistics.


On the other hand, a lower percentage of students in public assigned schools had parents who indicated that the quality of teachers, principals, or other school staff was very important (77 percent) than did students in any other type of school (82 percent of students in public chosen schools, 84 percent of students in private religious schools, and 92 percent of students in private nonreligious schools) (figure 1).

Only 38 percent of students in private religious schools had parents who indicated that the religious orientation of the school was very important when choosing a school (figure 4). Likewise, only a quarter of students overall had parents who indicated that convenience of location was very important when choosing a school.


Figure 4. Among K–12 students whose parents considered multiple schools, percentage whose parents indicated that selected factors were “very important” when choosing child’s school, by school type: 2018–19

SOURCE: Hanson, R., and Pugliese, C. (2020). Parent and Family Involvement in Education: 2019 (NCES 2020-076). U.S. Department of Education. Washington, DC: National Center for Education Statistics.


More details about the characteristics and factors that play a role in school choice, as well as additional statistics on family involvement in schools, are available in the recent NCES release Parent and Family Involvement in Education: 2019.

 

By Sarah Grady, NCES

The “Where” of Going to College: Residence, Migration, and Fall Enrollment

Newly released provisional data from the Integrated Postsecondary Education Data System’s (IPEDS) Fall Enrollment (EF) survey provides an updated look at whether beginning college students are attending school in their home state or heading elsewhere.  

In fall 2018, the number of first-time degree/certificate-seeking students enrolled at Title IV postsecondary institutions (beginning college students) varied widely across states, ranging from 3,700 in Alaska to 400,300 in California (figure 1). College enrollment is strongly correlated with the number of postsecondary institutions within each state, as more populous and geographically large states have more institutional capacity to enroll more students. Most states (32 out of 50) and the District of Columbia enrolled fewer than 50,000 beginning college students in fall 2018 and only six states (California, Texas, New York, Florida, Pennsylvania, and Ohio) enrolled more than 100,000 beginning college students.


Figure 1. Number of first-time degree/certificate-seeking undergraduate students enrolled at Title IV institutions, by state or jurisdiction: Fall 2018SOURCE: U.S. Department of Education, National Center for Education Statistics, IPEDS, Spring 2019, Fall Enrollment component (provisional data).


As a result of students migrating outside their home states to attend college, some postsecondary institutions enroll students who are not residents of the same state or jurisdiction in which it is located. Among beginning college students in fall 2018, the share of students who were residents of the same state varied widely, from 31 percent in New Hampshire to 93 percent in Texas and Alaska (figure 2). For a majority of states (27 out of 50), residents comprised at least 75 percent of total beginning college student enrollment. Only three states (Rhode Island, Vermont, and New Hampshire) and the District of Columbia enrolled more nonresidents than residents among their fall 2018 beginning college students.


Figure 2. Percent of first-time degree/certificate-seeking undergraduate students enrolled at Title IV institutions in the state or jurisdiction who are residents of the same state or jurisdiction: Fall 2018

SOURCE: U.S. Department of Education, National Center for Education Statistics, IPEDS, Spring 2019, Fall Enrollment component (provisional data).


States experience varying levels of out-migration (i.e., residents leaving the state to attend college) and in-migration (i.e., nonresidents coming into the state to attend college). For example, in fall 2018, California experienced the largest number of residents out-migrating to attend college in a different state (44,800) but gained 37,800 nonresidents in-migrating to attend college in the state, for an overall negative net migration of beginning college students (figure 3). In contrast, New York also experienced a large number of residents out-migrating for college (33,800) but gained 43,300 nonresidents, for an overall positive net migration of beginning college students.


Figure 3. Number of first-time degree/certificate-seeking undergraduate students at Title IV institutions who migrate into and out of the state or jurisdiction: Fall 2018

NOTE: The migration of students refers to students whose permanent address at the time of application to the institution is located in a different state or jurisdiction than the institution. Migration does not indicate a permanent change of address has occurred. Migration into the state or jurisdiction may include students who are nonresident aliens, who are from the other U.S. jurisdictions, or who reside outside the state or jurisdiction and are enrolled exclusively in online or distance education programs. Migration into the state or jurisdiction does not include individuals whose state or jurisdiction of residence is unknown.

SOURCE: U.S. Department of Education, National Center for Education Statistics, IPEDS, Spring 2019, Fall Enrollment component (provisional data).


Approximately three-quarters of states (37 out of 50) and the District of Columbia had a positive net migration of beginning college students in fall 2018 (figure 4). The remaining one-quarter of states (13 out of 50) had more residents out-migrate for college than nonresidents in-migrate for college, resulting in a negative net migration of beginning college students. Net migration varied widely by state, with New Jersey experiencing the largest negative net migration (28,500 students) and Utah experiencing the largest positive net migration (14,400 students).


Figure 4. Net migration of first-time degree/certificate-seeking undergraduate students at Title IV institutions, by state or jurisdiction: Fall 2018

NOTE: Net migration is the difference between the number of students entering the state or jurisdiction to attend school (into) and the number of students (residents) who leave the state or jurisdiction to attend school elsewhere (out of). A positive net migration indicates more students coming into the state or jurisdiction than leaving to attend school elsewhere.

SOURCE: U.S. Department of Education, National Center for Education Statistics, IPEDS, Spring 2019, Fall Enrollment component (provisional data).


The newly released IPEDS Fall Enrollment data provide tremendous insights into the geographic mobility of beginning college students. Additional analyses on residence and migration can be conducted using the full IPEDS data files. For example, the data can identify to which states and types of institutions beginning college students out-migrate and, conversely, from which states postsecondary institutions recruit their incoming classes.

 

By Roman Ruiz, AIR

New Data on Public and Private School Teacher Characteristics, Experiences, and Training

Teachers and principals have a critical impact on the education experience of students in the United States. The National Teacher and Principal Survey (NTPS) collects data from public and private school principals and teachers in order to better understand their characteristics and experiences. Using data collected during the 2017–18 school year, reports describing these findings for schools and principals were released in August 2019, and a new report about teachers was released in April 2020. During the 2015–16 school year, NTPS collected data about only public schools, principals, and teachers. The data collection for the 2017–18 school year included data about private schools, principals, and teachers as well.

Among the findings from the recently released teacher report are the following:

  • Race and ethnicity. Seventy-nine percent of all public school teachers in the 2017–18 school year were non-Hispanic White, 7 percent were non-Hispanic Black, and 9 percent were Hispanic. Among private school teachers, 85 percent were non-Hispanic White, 3 percent were non-Hispanic Black, and 7 percent were Hispanic.
     
  • Salary. Regular full-time teachers in public schools had a higher average base salary ($57,900) than regular full-time teachers in private schools ($45,300) in the 2017–18 school year.
     
  • Work outside of school. In the 2017–18 school year, 18 percent of public school teachers and 21 percent of private school teachers held jobs outside their school system during the school year.
     
  • Evaluation. In the 2017–18 school year, 78 percent of public school teachers and 69 percent of private school teachers were evaluated during the last school year.
     
    • ​Among teachers who were evaluated, higher percentages of private school teachers than public school teachers agreed with statements about the positive impact of evaluations on their teaching. Eighty-three percent of private school teachers agreed that the evaluation process helped them determine their success with students, 84 percent agreed that the evaluation process positively affected their teaching, and 81 percent agreed that the evaluation process led to improved student learning (figure 1). Comparable estimates for public school teachers were 72 percent, 73 percent, and 69 percent, respectively.

 


Figure 1. Percentage of teachers who agreed with different statements about the positive impact of evaluations, by school type: 2017–18


 

More information about these and other topics (including teachers’ years of experience, class size, and professional development) are available in the full report.

NTPS is a nationally representative survey of teachers and principals from public and private schools. For the public sector (but not the private sector), NTPS includes state representative data as well. 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.

Data files for the 2017–18 NTPS will be released later this year. In order to protect the identities of respondents, researchers must apply for a restricted-use license to access the full restricted-use data files. Data will also be available through NCES’s online data tool, DataLab, where users can create custom tables and regressions without a restricted-use license.

 

By Maura Spiegelman, NCES