Union Army Veterans, All Grown Up.

IF 1.6 2区 历史学 Q1 HISTORY Historical Methods Pub Date : 2017-01-01 Epub Date: 2017-01-17 DOI:10.1080/01615440.2016.1250022
Dora L Costa, Heather DeSomer, Eric Hanss, Christopher Roudiez, Sven E Wilson, Noelle Yetter
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引用次数: 17

Abstract

This paper overviews the research opportunities made possible by a NIA-funded program project, Early Indicators, Intergenerational Processes, and Aging. Data collection began almost three decades ago on 40,000 soldiers from the Union Army in the US Civil War. The sample contains extensive demographic, economic, and medical data from childhood to death. In recent years, a large sample of African-American soldiers and an oversampling of soldiers from major US cities have been added. Hundreds of historical maps containing public health data have been geocoded to place soldiers and their family members in a geospatial context. With newly granted funding, thousands of veterans will be linked to the demographic information available from the census and vital records of their children.

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联邦退伍军人,都长大了。
本文概述了nia资助的项目“早期指标、代际过程和老龄化”所带来的研究机会。数据收集始于近30年前,涉及美国内战中联邦军队的4万名士兵。样本包含从童年到死亡的广泛的人口、经济和医学数据。近年来,大量非裔美国士兵和来自美国主要城市的士兵被加入了调查。数百份包含公共卫生数据的历史地图已进行了地理编码,以便将士兵及其家属置于地理空间背景中。有了新批准的资金,数千名退伍军人将与人口普查提供的人口信息和他们子女的重要记录联系起来。
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来源期刊
Historical Methods
Historical Methods Multiple-
CiteScore
3.20
自引率
7.10%
发文量
13
期刊介绍: Historical Methodsreaches an international audience of social scientists concerned with historical problems. It explores interdisciplinary approaches to new data sources, new approaches to older questions and material, and practical discussions of computer and statistical methodology, data collection, and sampling procedures. The journal includes the following features: “Evidence Matters” emphasizes how to find, decipher, and analyze evidence whether or not that evidence is meant to be quantified. “Database Developments” announces major new public databases or large alterations in older ones, discusses innovative ways to organize them, and explains new ways of categorizing information.
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