Related Experiment Video
Updated: Feb 18, 2026

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills
Published on: September 17, 2019
Three Dimensions of Change in School Segregation: A Grade-Period-Cohort Analysis
Jeremy E Fiel1, Yongjun Zhang2
1School of Sociology, Social Science Building, Room 400, University of Arizona, P.O. Box 210027, Tucson, AZ, 85721-0027, USA. jfiel@email.arizona.edu.
Public school segregation in the U.S. remained stagnant for Black-white students and modestly declined for Hispanic-white students between 1999 and 2014. Age-period-cohort analysis revealed offsetting period and cohort effects on racial school segregation.
Area of Science:
- Sociology
- Education Policy
- Demography
Background:
- School segregation remains a persistent issue in the U.S.
- Understanding temporal trends in segregation requires sophisticated analytical methods.
Purpose of the Study:
- To analyze changes in U.S. public school segregation from 1999-2000 to 2013-2014.
- To apply the first age-period-cohort (APC) analysis to school segregation data.
- To disentangle sources of change and account for grade effects in segregation trends.
Main Methods:
- Utilized age-period-cohort (APC) analysis.
- Examined U.S. public school segregation data from 1999-2000 to 2013-2014.
- Assessed the impact of grade distributions on temporal trends.
Main Results:
- Grade effects substantially reduced segregation at middle and high school transitions.
- Black-white segregation was stagnant overall.
- Hispanic-white segregation showed a modest decline.
- Period declines in segregation were offset by cohort increases for both racial groups.
Conclusions:
- APC analysis provides a robust method for studying segregation trends.
- While overall segregation trends were stable or modestly declining, cohort effects suggest future increases.
- Segregation trends varied across different geographic and policy contexts.
More Related Videos
13:44Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
Published on: December 9, 2022
11:29Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools
Published on: June 20, 2020
Related Concept Videos
Cross-Sectional Research
Longitudinal Studies
Longitudinal Research
Comparing the Survival Analysis of Two or More Groups
Group Design
Sieve Analysis and Grading Curves