Evidence map›Paper›PMID 31168474›Full record

ArticleThe Russell Sage Foundation journal of the social sciences : RSF2019

School Climate and the Impact of Neighborhood Crime on Test Scores.

Agustina Laurito, Johanna Lacoe, Amy Ellen Schwartz, Patrick Sharkey, Ingrid Gould Ellen

Abstract read
In one paragraph

Article in The Russell Sage Foundation journal of the social sciences : RSF, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Unequal effects of disruptive events.Sociology compass · 2022
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Using Administrative Data for Social Science and Policy.The Russell Sage Foundation journal of the social sciences : RSF · 2019
    Article
  7. Using Administrative Data for Social Science and Policy.The Russell Sage Foundation journal of the social sciences : RSF · 2019
    Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Agustina LauritoAssistant professor in the Department of Public Administration at the University of Illinois Chicago.
Johanna LacoeResearcher at Mathematica Policy Research.
Amy Ellen SchwartzDaniel Patrick Moynihan Chair in Public Affairs and professor of economics, public administration, and international affairs in the Maxwell School of Citizenship and Public Affairs at Syracuse University.
Patrick SharkeyProfessor of sociology at New York University.
Ingrid Gould EllenPaulette Goddard Professor of Urban Policy and Planning in the Robert F. Wagner Graduate School of Public Service at New York University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Does school climate ameliorate or exacerbate the impact of neighborhood violent crime on test scores? Using administrative data from the New York City Department of Education and the New York City Police Department, we find that exposure to violence in the residential neighborhood and an unsafe climate at school lead to substantial test score losses in English language arts (ELA). Middle school students exposed to neighborhood violent crime before the ELA exam who attend schools perceived to be less safe or to have a weak sense of community score 0.06 and 0.03 standard deviations lower, respectively. We find the largest negative effects for boys and Hispanic students in the least safe schools, and no effect of neighborhood crime for students attending schools with better climates.

Indexed as

neighborhood violenceschool climate and environmenttest scores

Identifiers

PMID31168474
PMCPMC6545988

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.