Related Experiment Video
Updated: Feb 5, 2026

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
The Long Road to Equality: A Meta-Regression Analysis of Changes in the Black Test Score Gap over Time
Nick Huntington-Klein1, Elizabeth Ackert2
1California State University, Fullerton.
Objective:
We analyze changes in test score gaps between Black students and their peers from 1979 to 2010 and examine how observable factors contribute to the gap.
Methods:
Using meta-regression, we examine the relationship between African American racial status and achievement in United States K-12 education in 165 published studies.
Results:
The absolute relationship between Black status and achievement decreased during the 1980s and early 1990s, but was stagnant from the late 1990s through 2010. Socioeconomic status explained more than half of the gap, and the influence of socioeconomic status on the gap did not changed significantly over time. Schooling characteristics explained relatively little of the gap, but school-level factors increased in importance over time.
Conclusions:
Black test score gap closure stagnated in an era when federal education policy sought to close racial achievement gaps. Observable factors explain more of the gap than has been previously recognized.
More Related Videos
06:26Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images SDM-PSI
Published on: November 27, 2019
04:34Meta-Analysis of the Effectiveness and Safety of Shugan Jieyu Capsules for the Treatment of Insomnia
Published on: February 17, 2023
Related Concept Videos
Regression Toward the Mean
Regression Analysis
In regression analysis, a regression equation is determined based on the line of best fit– a line that best fits the data points plotted in a graph. This line is also called the regression line. The algebraic equation for the regression line is called the regression equation. It is represented as:
Microsoft Excel: Regression Analysis
To perform regression...
Multiple Regression
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
One-Way ANOVA: Equal Sample Sizes
Different sample means can result in different values for the variance estimate: variance between samples. This is because the variance between samples is calculated as the product of the sample size and the variance between the...
Correlation and Regression