Evidence map›Paper›PMID 29552270›Full record

ArticleJournal of research on educational effectiveness2018

Developing Optimized Adaptive Interventions in Education.

Daniel Almirall, Connie Kasari, Daniel F McCaffrey, Inbal Nahum-Shani

2 registry-linked trialsAbstract read
In one paragraph

Article in Journal of research on educational effectiveness, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
3.7field-weighted citation impact, top 7% 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.

NCT01751698 nacompletednot on this map

Adaptive Interventions for Minimally Verbal Children With ASD in the Community

TypeinterventionalSponsorUniversity of California, Los AngelesRan2013 to 2017Enrolled192ConditionsAutismArmsJASP-EMT, DTT
NCT02997943 nacompletednot on this map

SMART Weight Loss Management

TypeinterventionalSponsorNorthwestern UniversityRan2017 to 2021Enrolled400ConditionsWeight LossArmsStep 1 Treatment: APP, Step 1 Treatment: APP + Coaching, Step 2 Treatment Strategy: Modest Step-up, Step 2 Treatment Strategy: Vigorous Step-up
3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Probability of Intervention Benefit in the Early Start Denver Model.Journal of autism and developmental disorders · 2025
    Article
  5. Approaches to Statistical Efficiency When Comparing the Embedded Adaptive Interventions in a SMART.Journal of educational and behavioral statistics : a quarterly publication sponsored by the American Educational Research Association and the American Statistical Association · 2025
    Article
  6. Article
  7. Review
  8. 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

4 authors at 3 institutions in 1 country.

Daniel AlmirallInstitute for Social Research and Department of Statistics, University of Michigan, Ann Arbor, MI, USA.
Connie KasariSemel Institute for Neuroscience and Human Behavior, University of California-Los Angeles, Los Angeles, CA, USA.
Daniel F McCaffreyEducational Testing Service, Princeton, NJ, USA.
Inbal Nahum-ShaniInstitute for Social Research, University of Michigan, Ann Arbor, MI, USA.
University of Michigan–Ann Arbor · USEducational Testing Service · USUniversity of California, Los Angeles · US

Funding

Pilot, Mentoring, and Professional Development CoreP50DA039838 · NIDA · PENNSYLVANIA STATE UNIVERSITY, THE · PI LI, RUNZE · 2015 to 2019
$13.9M
Adaptive Interventions for Minimally Verbal Children with ASD in the CommunityR01HD073975 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI KASARI, CONNIE L. · 2012 to 2016
$13.0M
TRAINING U54EB020404 · NIBIB · UNIVERSITY OF MEMPHIS · PI KUMAR, SANTOSH · 2014 to 2018
$11.3M
Novel Methods for Intensive Longitudinal Data in SMART Studies of Drug Abuse and HIVR01DA039901 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ALMIRALL, DANIEL, NAHUM-SHANI, INBAL BILLIE · 2015 to 2024
$5.4M
SMART Weight Loss ManagementR01DK108678 · NIDDK · NORTHWESTERN UNIVERSITY AT CHICAGO · PI NAHUM-SHANI, INBAL BILLIE, SPRING, BONNIE · 2016 to 2020
$3.5M
Data-Based Methods for Just-In-Time Adaptive Interventions in Alcohol UseR01AA023187 · NIAAA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MURPHY, SUSAN A · 2015 to 2019
$2.6M
The College-to-Work Transition & Alcohol Misuse: An Etiologic StudyR01AA022113 · NIAAA · CORNELL UNIVERSITY · PI BACHARACH, SAMUEL B · 2014 to 2018
$2.2M
NIAAA NIH HHS R01 AA022113NIAAA NIH HHS R01 AA023187NIBIB NIH HHS U54 EB020404NICHD NIH HHS R01 HD073975NIDA NIH HHS P50 DA039838NIDA NIH HHS R01 DA039901NIDDK NIH HHS R01 DK108678
6 · The paper itself

Abstract

Hedges (2018) encourages us to consider asking new scientific questions concerning the optimization of adaptive interventions in education. In this commentary, we have expanded on this (albeit briefly) by providing concrete examples of scientific questions and associated experimental designs to optimize adaptive interventions, and commenting on some of the ways such designs might challenge us to think differently. A great deal of methodological work remains to be done. For example, we have only begun to consider experimental design and analysis methods for developing "cluster-level adaptive interventions" (NeCamp, Kilbourne, & Almirall, 2017), or to extend methods for comparing the marginal mean trajectories between the adaptive interventions embedded in a SMART (Lu et al., 2016) to accommodate random effects. These methodological advances, among others, will propel educational research concerning the construction of more complex, yet meaningful, interventions that are necessary for improving student and teacher outcomes.

Identifiers

PMID29552270
PMCPMC5854172
OpenAlexW2769718706

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.