Evidence map›Paper›PMID 34135542›Full record

ArticleAnnual review of sociology2017

Genealogical Microdata and Their Significance for Social Science.

Xi Song, Cameron D Campbell

Abstract read
In one paragraph

Article in Annual review of sociology, 2017. 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. Multigenerational and gender-symmetric transmission of migration behaviors in historical Quebec.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Kinship and Care: Racial Disparities in Potential Dementia Caregiving in the United States From 2000 to 2060.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
    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

2 authors.

Xi SongDepartment of Sociology, University of Chicago, Chicago, Illinois 60637.
Cameron D CampbellDivision of Social Science, Hong Kong University of Science and Technology, Hong Kong, China.

Funding

Statistics and Methods CoreR24HD041022 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SELTZER, JUDITH A. · 2001 to 2016
$10.1M
Demographic Responses to Community and Family ContextR01HD045695 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LEONARD, SUSAN HAUTANIEMI · 2006 to 2008
$845k
Multi-generational Demographic and Landholding Data: CMGPD-SC Public ReleaseR01HD070985 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CAMPBELL, CAMERON DOUGALL · 2012 to 2014
$844k
NICHD NIH HHS R01 HD045695NICHD NIH HHS R01 HD070985NICHD NIH HHS R24 HD041022
6 · The paper itself

Abstract

Despite long-standing recognition of the importance of family background in shaping life outcomes, only recently have empirical studies in demography, stratification, and other areas begun to consider the influence of kin other than parents. These new studies reflect the increasing availability of genealogical microdata that provide information about ancestors and kin over three or more generations. These data sets, including family genealogies, linked vital registration records, population registers, longitudinal surveys, and other sources, are valuable resources for social research on family, population, and stratification in a multigenerational perspective. This article reviews relevant recent studies, introduces and presents examples of the most important sources of genealogical microdata, identifies key methodological issues in the construction and analysis of genealogical data, and suggests directions for future research.

Indexed as

familygenealogymicrodatamultigenerational research

Identifiers

PMID34135542
PMCPMC8204665

What OpenQuestion holds

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Registered trials

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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.