Evidence map›Paper›PMID 31631959›Full record

ArticleThe American journal of evaluation2019

The BOND Framework: A Practical Application of Visual Communication Design and Marketing to Advance Evaluation Reporting.

Kathryn McAlindon, Jennifer Watling Neal, Zachary P Neal, Kristen J Mills, Jennifer Lawlor

Abstract read
In one paragraph

Article in The American journal of evaluation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Kathryn McAlindonDepartment of Psychology, Michigan State University, East Lansing, MI, USA.
Jennifer Watling NealDepartment of Psychology, Michigan State University, East Lansing, MI, USA.
Zachary P NealDepartment of Psychology, Michigan State University, East Lansing, MI, USA.
Kristen J MillsDepartment of Psychology, Michigan State University, East Lansing, MI, USA.
Jennifer LawlorDepartment of Psychology, Michigan State University, East Lansing, MI, USA.

Funding

Social Networks in the Dissemination of Mental Health Programs to Public SchoolsR21MH100238 · NIMH · MICHIGAN STATE UNIVERSITY · PI NEAL, ZACHARY P, WATLING NEAL, JENNIFER RENEE · 2015 to 2016
$413k
NIMH NIH HHS R21 MH100238
6 · The paper itself

Abstract

Despite growing interest in data visualization and graphically aided reporting, the evaluation literature could benefit from additional guidance on systematically integrating visual communication design and marketing into comprehensive communication strategies to improve data dissemination. This article describes the role of targeted communication strategies-based on visual communications, design, and marketing theory-in producing more effective reports. In evaluation practice, well-synthesized and translated reports often require the integration of data from multiple sources, methods, and/or time points to communicate complex findings in ways that elicit productive responses. Visual communication strategies, such as project branding or designing actionable tools with marketing principles in mind, can be applied to optimize effective reporting of complex evaluation findings. This article references a longitudinal, mixed-method evaluation of public school administrators in Michigan to illustrate the application of a systematic communication design framework to produce several graphically aided project materials and subsequent findings reports.

Indexed as

communicationdata visualizationdesigndisseminationreporting

Identifiers

PMID31631959
PMCPMC6800736

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.