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Workshops on EndNote, NIH reporting, and publication altmetrics, Jan 26 through Feb 7, ISR

2017 PAA Annual Meeting, April 27-29, Chicago

NIH funding opportunity: Etiology of Health Disparities and Health Advantages among Immigrant Populations (R01 and R21), open Jan 2017

Russell Sage 2017 Summer Institute in Computational Social Science, June 18-July 1. Application deadline Feb 17.

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Mon, Jan 23, 2017 at noon:
Decline of cash assistance and child well-being, Luke Shaefer

A Management Model for Continuous Data Collection: Reflections from the National Survey of Family Growth, 2006-2010

Publication Abstract

Download PDF versionKirgis, Nicole, and James M. Lepkowski. 2010. "A Management Model for Continuous Data Collection: Reflections from the National Survey of Family Growth, 2006-2010." NSFG Paper No. 10-011. 6 2010.

Continuous data collection in the National Survey of Family Growth (NSFG) means on-going sampling of the US age-eligible household population such that interviewing and data production occur daily, with changes in questionnaires and sampling areas undertaken annually. This design seeks to maximize the use of resources and obtain high-quality responses by (1) producing a balanced, continuous work flow, (2) using a small, cross-trained project team, and (3) monitoring data collection in real time to make adjustments to the design. This paper summarizes some of the key design and management strategies used in the successful operation of the NSFG, 2006-2010, highlighting sampling strategies, paradata monitoring techniques, and responsive design initiatives.

Country of focus: United States of America.

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