Evidence map›Paper›PMID 21113275›Full record

ArticleField methods2010

Sampling to reduce respondent burden in personal network studies and its effect on estimates of structural measures.

Daniela Golinelli, Gery Ryan, Harold D Green, David P Kennedy, Joan S Tucker, Suzanne L Wenzel

Abstract read
In one paragraph

Article in Field methods, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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  15. The Analysis of Duocentric Social Networks: A Primer.Journal of marriage and the family · 2015
    Article
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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

6 authors.

Daniela GolinelliRAND Corporation, 1776 Main Street, P.O. Box 2138, Santa Monica, CA, 90407, U.S.A.
Gery Ryan
Harold D Green
David P Kennedy
Joan S Tucker
Suzanne L Wenzel

Funding

ALCOHOL USE AND HIV RISK AMONG IMPOVERISHED WOMENR01AA015301 · NIAAA · RAND CORPORATION · PI TUCKER, JOAN S · 2005 to 2008
$2.7M
NIAAA NIH HHS R01 AA015301
6 · The paper itself

Abstract

Recently, researchers have been increasingly interested in collecting personal network data. Collecting this type of data is particularly burdensome on the respondents, who need to elicit the names of alters, answer questions about each alter (network composition), and evaluate the strength of possible relationships among the named alters (network structure). In line with McCarty et al.'s (2007) research, we propose reducing respondent burden by randomly sampling a smaller set of alters from those originally elicited. Via simulation, we assess the estimation error we incur when measures of the network structure are computed on a random sample of alters and illustrate the trade-offs between reduction in respondent burden (measured with the amount of interview time saved) and total estimation error incurred. Researchers can use the provided trade-offs figure to make an informed decision regarding the number of alters to sample when in need to reduce respondent burden.

Identifiers

PMID21113275
PMCPMC2990225

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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.