Evidence map›Paper›PMID 40808807›Full record

ArticleSurvey research methods2025

Effects of Mode and Transitioning to a Mixed-Mode (Web/Phone) Design on Categorical Survey Estimates: Do Question Characteristics Matter?

Mengyao Hu, Vicki A Freedman, Justin Kamens

Abstract read
In one paragraph

Article in Survey research methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Mengyao HuUTHealth Houston.
Vicki A FreedmanUniversity of Michigan.
Justin KamensWestat.

Funding

The National Health and Trends StudyU01AG032947 · NIA · JOHNS HOPKINS UNIVERSITY · PI VICKI A. FREEDMAN, JENNIFER ANN SCHRACK · 2008 to 2026
$169.4M
Trends and Dynamics in Caregiving for Alzheimer’s Disease and Related Dementias: Extending the National Study of CaregivingR01AG062477 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI FREEDMAN, VICKI A., WOLFF, JENNIFER L. · 2019 to 2023
$10.0M
NIA NIH HHS R01 AG062477NIA NIH HHS U01 AG032947
6 · The paper itself

Abstract

An increasing number of telephone surveys are introducing a web option. Limited experimental research has explored the implications of such design changes and how they vary by question characteristics. Using an experimental design and propensity score matching techniques, this study examines the effects of mode (web vs. telephone) and transitioning to a mixed-mode design (from telephone-only to the choice of web or telephone) on survey estimates and how effects differ by question characteristics. We draw upon an experiment embedded in the National Study of Caregiving (NSOC), in which half of NSOC-eligible caregivers were randomized to a telephone-only design and the other half to a sequential mixed-mode design offering web and telephone options. For each categorical survey item, we test whether responses differ significantly by mode (after adjusting for selection effects using propensity score matching) and by design (experimentally assigned). We find that for the matched sample, significant differences by mode are evident for 10% of categorical survey items. These differences are larger for the approximately 75% of subjective (vs. 25% objective) questions and 45% non-binary (vs. 55% binary) questions, but are nevertheless negligible in size (<0.07 phi coefficient or Cramer's V). Because most effects are small and only about half of those randomized to the mixed-mode design opted for web, these mode effects rarely result in differences in estimates (3%) between the telephone-only and mixed-mode designs and differences in estimates are on average negligible in size (<0.03). We demonstrate that even if web take-up rates reach 90%, significant differences in estimates between telephone-only and mixed-mode designs remain rare (5%) and on average negligible in size (0.08) for the mix of categorical questions in NSOC. We discuss implications for designing future mixed-mode surveys.

Identifiers

PMID40808807
PMCPMC12341361

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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.