NCES Blog

National Center for Education Statistics

Data Tools for College Professors and Students

Ever wonder what parts of the country produce the most English majors? Want to know which school districts have the most guidance counselors? The National Center for Education Statistics (NCES) has all the tools you need to dig into these and lots of other data!

Whether you’re a student embarking on a research project or a college professor looking for a large data set to use for an assignment, NCES has you covered. Below, check out the tools you can use to conduct searches, download datasets, and generate your own statistical tables and analyses.

 

Conduct Publication Searches

Two search tools help researchers identify potential data sources for their study and explore prior research conducted with NCES data. The Publications & Products Search Tool can be used to search for NCES publications and data products. The Bibliography Search Tool, which is updated continually, allows users to search for individual citations from journal articles that have been published using data from most surveys conducted by NCES.

Key reference publications include the Digest of Education Statistics, which is a comprehensive library of statistical tabulations, and The Condition of Education, which highlights up-to-date trends in education through statistical indicators.

 

Learn with Instructional Modules

The Distance Learning Dataset Training System (DLDT) is an interactive online tool that allows users to learn about NCES data across the education spectrum. DLDT’s computer-based training introduces users to many NCES datasets, explains their designs, and offers technical considerations to facilitate successful analyses. Please see the NCES blog Learning to Use the Data: Online Dataset Training Modules for more details about the DLDT tool.
 




Download and Access Raw Data Files

Users have several options for conducting statistical analyses and producing data tables. Many NCES surveys release public-use raw data files that professors and students can download and analyze using statistical software packages like SAS, STATA, and SPSS. Some data files and syntax files can also be downloaded using NCES data tools:

  • Education Data Analysis Tool (EDAT) and the Online Codebook allow users to download several survey datasets in various statistical software formats. Users can subset a dataset by selecting a survey, a population, and variables relevant to their analysis.
  • Many data files can be accessed directly from the Surveys & Programs page by clicking on the specific survey and then clicking on the “Data Products” link on the survey website.

 

Generate Analyses and Tables

NCES provides several online analysis tools that do not require a statistical software package:

  • DataLab is a tool for making tables and regressions that features more than 30 federal education datasets. It includes three powerful analytic tools:
    • QuickStats—for creating simple tables and charts.
    • PowerStats—for creating complex tables and logistic and linear regressions.
    • TrendStats—for creating complex tables spanning multiple data collection years. This tool also contains the Tables Library, which houses more than 5,000 published analysis tables by topic, publication, and source.

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  • National Assessment of Educational Progress (NAEP) Data Explorer can be used to generate tables, charts, and maps of detailed results from national and state assessments. Users can identify the subject area, grade level, and years of interest and then select variables from the student, teacher, and school questionnaires for analysis.
  • International Data Explorer (IDE) is an interactive tool with data from international assessments and surveys, such as the Program for International Student Assessment (PISA), the Program for the International Assessment of Adult Competencies (PIAAC), and the Trends in International Mathematics and Science Study (TIMSS). The IDE can be used to explore student and adult performance on assessments, create a variety of data visualizations, and run statistical tests and regression analyses.
  • Elementary/Secondary Information System (ElSi) allows users to quickly view public and private school data and create custom tables and charts using data from the Common Core of Data (CCD) and Private School Universe Survey (PSS).
  • Integrated Postsecondary Education Data System (IPEDS) Use the Data provides researcher-focused access to IPEDS data and tools that contain comprehensive data on postsecondary institutions. Users can view video tutorials or use data through one of the many functions within the portal, including the following:
    • Data Trends—Provides trends over time for high-interest topics, including enrollment, graduation rates, and financial aid.
    • Look Up an Institution—Allows for quick access to an institution’s comprehensive profile. Shows data similar to College Navigator but contains additional IPEDS metrics.
    • Statistical Tables—Equips power users to quickly get data and statistics for specific measures, such as average graduation rates by state.

 

 

How financially literate are U.S. 15-year-olds?

By Lauren Musu-Gillette

Individuals are required to make a large number of financial decisions throughout the course of their lifetime, and financial literacy is an important skill for tasks ranging from setting a budget to saving money for retirement. A good foundation in financial literacy can help adolescents enter higher education and the workforce with a better understanding of how to make informed decisions.

The United States participated in the Program for International Student Assessment (PISA) financial literacy assessment in order to assess the financial literacy of a nationally representative sample of U.S. 15-year-olds. Students from 14 other education systems around the world also participated. Results are also available for Massachusetts and North Carolina. A recent NCES Data Point shows how U.S. students compare to their peers in other countries.

In 2015, The U.S. average score on the PISA financial literacy assessment was not measurably different from the average of the 10 participating Organization for Economic Cooperation and Development (OECD) countries. The U.S. average was lower than the average in six education systems, higher than the average in six, and not measurably different from the average in two education systems. The U.S. average score did not change measurably from 2012–the last time the assessment was conducted–to 2015.

As part of the PISA financial literacy assessment, students were tested on their knowledge and understanding of fundamental elements of the financial world, including financial concepts, products, and risks, and their ability to apply what they know to real-life situations involving financial issues and decisions. More information about the assessment, including sample questions, is available here.


Sample Financial Literacy Assessment Question

SOURCE: Organization for Economic Cooperation and Development (OECD), Program for International Student Assessment (PISA) Financial Literacy Assessment, 2012.


Ten percent of U.S. 15-year-olds scored at the top proficiency level on financial literacy in 2015. Students reaching level 5 on the PISA assessment of financial literacy demonstrate that they can apply their understanding of a wide range of financial terms and concepts to contexts that may only become relevant to their lives in the long term.[1] The percentage of students in the United States who scored at this level was lower than the OECD average and lower than the average in five education systems. It was higher than the average score in eight education systems and not measurably different from one country (Russian Federation).


Percentage of 15-year-old students performing at PISA financial literacy proficiency level below level 2 and at level 5, by education system: 2015

*p<.05. Percentage is significantly different than the U.S. percentage at the .05 level of statistical significance.
NOTE: Education systems are ordered by 2015 percentages of 15-year-olds at level 5. The OECD average shown here is the average of the national percentages of the 10 OECD member countries that participated in the financial literacy assessment, with each education system weighted equally. B-S-J-G (China) refers to the four PISA participating China provinces: Beijing, Shanghai, Jiangsu, and Guangdong. Canadian provinces refers to the seven provinces that participated in the financial literacy assessment: British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, and Prince Edward Island. Italics indicate non-OECD countries and education systems. Results for Massachusetts and North Carolina are for public school students only. The score point ranges for the proficiency levels are shown in exhibit 1 and the standard errors of the estimates are shown in table FL3b available at http://nces.ed.gov/surveys/pisa/PISA2015/index.asp.
SOURCE: Organization for Economic Cooperation and Development (OECD), Program for International Student Assessment (PISA),2015.

 


The percentage of U.S. 15-year-old students scoring below level 2, which is considered a baseline level of proficiency by the OECD, was 22 percent.[2] The U.S. percentage of low performers in 2015 was higher than four education systems and lower than five. The U.S. percentage did not differ significantly from that of the Netherlands, Australia, Poland, Italy, Spain, and the OECD average.

There was no measurable difference in the average financial literacy assessment scores for males and females in the United States in 2015. Females scored higher than males, on average, in five countries and lower than males in one country.


Difference in average scores of 15-year-old male and female students on the PISA financial literacy scale, by education system: 2015

# Rounds to zero.
NOTE: Education systems are ordered by absolute male-female difference in 2015 average score. Differences were computed using unrounded numbers. Scores are reported on a scale from 0 to 1,000. The OECD average is the average of the national average score differences of the 10 OECD member countries, with each system weighted equally. Standard error is noted by s.e. Italics indicate non-OECD countries and education systems. B-S-J-G (China) refers to the four PISA participating China provinces: Beijing, Shanghai, Jiangsu, and Guangdong. Canadian provinces refers to the seven provinces that participated in the financial literacy assessment: British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, and Prince Edward Island. Results for Massachusetts and North Carolina are for public school students only. The average scores and standard errors are shown in table FL7.
SOURCE: Organization for Economic Cooperation and Development (OECD), Program for International Student Assessment (PISA), 2015.


For more information on the results of the PISA 2015 literacy assessment, see our recently released Data Point, or explore additional data tables on our website.

 

[1] Students scoring at this level can analyze complex financial products and can take into account features of financial documents that are significant but unstated or not immediately evident, such as transaction costs. They can work with a high level of accuracy and solve non-routine financial problems, and they can describe the potential outcomes of financial decisions, showing an understanding of the wider financial landscape, such as income tax.

[2] Students scoring at level 2 begin to apply their knowledge of common financial products and commonly used financial terms and concepts. They can use given information to make financial decisions in contexts that are immediately relevant to them. They can recognize the value of a simple budget and can interpret prominent features of everyday financial documents. They can apply single basic numerical operations, including division, to answer financial questions. They show an understanding of the relationships between different financial elements, such as the amount of use and the costs incurred. Students scoring at level 1 can identify common financial products and terms and interpret information relating to basic financial concepts. They can recognize the difference between needs and wants and can make simple decisions on everyday spending. They can recognize the purpose of everyday financial documents such as an invoice and apply single and basic numerical operations (addition, subtraction or multiplication) in financial contexts that they are likely to have experienced personally.