Evidence map›Paper›PMID 29527423›Full record

ArticleSurvey practice2017

Tailored Explanation: A Strategy to Minimize Nonresponse in Demographic Items Among Low-income Racial and Ethnic Minorities.

Maichou Lor, Barbara J Bowers, Anna Krupp, Nora Jacobson

Open access · bronzeAbstract read
In one paragraph

Article in Survey practice, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 18% of its field
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

9 citing papers in PubMed, 21 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Maichou LorUniversity of Wisconsin-Madison, School of Nursing.
Barbara J BowersUniversity of Wisconsin-Madison, School of Nursing.
Anna KruppUniversity of Wisconsin-Madison, School of Nursing.
Nora JacobsonUniversity of Wisconsin-Madison, School of Nursing.
University of Wisconsin–Madison · US

Funding

Institutional Clinical and Translational Science AwardUL1TR000427 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2012 to 2016
$32.2M
NCATS NIH HHS UL1 TR000427
6 · The paper itself

Abstract

There is a high rate of nonresponse for demographic items in survey research, particularly for racial and ethnic minority respondents. This present study examined whether providing an explanation to racial and ethnic minority respondents prior to asking a set of demographic questions would increase respondents' motivation to reduce nonresponse to gender, income, age, and race items. Using a cross-sectional, randomized comparison design, 99 respondents were randomly assigned to two groups. Group 1 did not receive an explanation for asking the demographic questions. Group 2 received an explanation designed to be relevant and meaningful to them concerning the significance and potential use of demographic information for racial and ethnic minority populations. A proportional difference test was used to calculate the differences in the proportion of respondents' motivation to complete demographic survey items between the groups. A proportional difference effect size (Cohen's h effect size) was used to determine the magnitude of difference between the two groups. Over 50% of respondents were African Americans. While none of the item non-responses for both groups is statistically significant in terms of proportional differences, there is small (Cohen's h= 0.184) to moderate (Cohen's h=0.342) effect in reducing demographic item non-response when an explanation was provided to respondents. Specifically, adding an explanation made the biggest improvement in reporting income. The study findings support the importance of providing participants with an explanation that is relevant and meaningful to increase motivation and thereby minimize item nonresponse.

Indexed as

item nonresponsemotivationtailored explanation

Identifiers

PMID29527423
PMCPMC5844486
OpenAlexW2672477479

What OpenQuestion holds

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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.