Table
Background on the article
100

What does column one in table two measure?

the measures of disadvantage

100

What year was this article Published?

2017

200

What does column two in table two measure?

demographic characteristics

200

Who are the authors in this article? What universities do they represent?

Katherine Michelmore Syracuse University Susan Dynarski University of Michigan

300

Based on Table 2, which measure of student economic disadvantage predicts the largest gaps in math test scores compared to never-disadvantaged students?



Currently free or reduced-price lunch eligible 



300

What are the scholars aiming to find out?

Either: use administrative data from Michigan to develop a more detailed measure of economic disadvantage.

or 

Develop a more detailed measure of economic disadvantage.

400

These data represent all eighth-grade students in Michigan during the years 2010-11 through 2012-13, including more than 300,000 students. The fact that the data include not just a random sample but all public school students in a state is a strength from the standpoint of:

external validity

400

What do the findings suggest?

Suggests: A child’s permanent family income may explain why children who were always eligible for subsidized meals perform worse on standardized tests than their peers who were never eligible, we cannot rule out other explanations.

500

In Table 3, the authors examine what happens to the size of math test scores gaps linked to student disadvantage levels when they control for possible confounds, including student demographics, the school students attend, and student’s zip code income levels. The authors find that after controlling for (holding constant) all three of these factors, the gap between persistently and never-disadvantaged children:

shrinks from the “no controls” model but still exceeds half a standard deviation

500

What do the authors proposed measure aim to  capture?

Captures greater variation in economic resources and educational outcomes than does the dichotomous variable currently used by researchers.