Evidence map›Paper›PMID 27165092›Full record

ArticleAssessment2016

Bridging the Nomothetic and Idiographic Approaches to the Analysis of Clinical Data.

Adriene M Beltz, Aidan G C Wright, Briana N Sprague, Peter C M Molenaar

Registry-linked trialAbstract read
In one paragraph

Article in Assessment, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04162574 (Predicting Binge and Purge Episodes From Passive and Active Apple Watch Data Using a Dynamical Systems Approach), which is not on this map. Cited by 89 papers.

0numbers the graph read from it
0cells of the map it votes in
89citing 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.

NCT04162574 completednot on this mapstarted 2017, after this paper: background citation

Predicting Binge and Purge Episodes From Passive and Active Apple Watch Data Using a Dynamical Systems Approach

Typeobservational_patient_registrySponsorUniversity of North Carolina, Chapel HillRan2017 to 2021Enrolled1,166ConditionsBinge-Eating Disorder, Bulimia NervosaArmsRecovery Record
3 · Its place in the literature

Who cites it

89 citing papers in PubMed.

  1. Lack of group-to-individual generalizability is a threat to human subjects research.Proceedings of the National Academy of Sciences of the United States of America · 2018
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  6. Review
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  11. A Phenomenological Study Exploring the Perceptions of Parents and Children Participating in the Lidcombe Program for Early Stuttering in Turkiye.Folia phoniatrica et logopaedica : official organ of the International Association of Logopedics and Phoniatrics (IALP) · 2025
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  17. Review
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29 more citing papers are in PubMed but not listed here.

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.

Adriene M Beltz1 The Pennsylvania State University, University Park, PA, USA.
Aidan G C Wright2 University of Pittsburgh, Pittsburgh, PA, USA.
Briana N Sprague1 The Pennsylvania State University, University Park, PA, USA.
Peter C M Molenaar1 The Pennsylvania State University, University Park, PA, USA.

Funding

Development of a Computerized Adaptive Test of Personality Disorder (CAT-PD)R01MH080086 · NIMH · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI SIMMS, LEONARD JAY · 2008 to 2012
$2.5M
Dynamic Expression of Antagonistic Personality Pathology in Daily LifeF32MH097325 · NIMH · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI WRIGHT, AIDAN GREGORY CRAVER · 2012 to 2012
$49k
NIMH NIH HHS F32 MH097325NIMH NIH HHS L30 MH101760NIMH NIH HHS R01 MH080086
6 · The paper itself

Abstract

The nomothetic approach (i.e., the study of interindividual variation) dominates analyses of clinical data, even though its assumption of homogeneity across people and time is often violated. The idiographic approach (i.e., the study of intraindividual variation) is best suited for analyses of heterogeneous clinical data, but its person-specific methods and results have been criticized as unwieldy. Group iterative multiple model estimation (GIMME) combines the assets of the nomothetic and idiographic approaches by creating person-specific maps that contain a group-level structure. The maps show how intensively measured variables predict and are predicted by each other at different time scales. In this article, GIMME is introduced conceptually and mathematically, and then applied to an empirical data set containing the negative affect, detachment, disinhibition, and hostility composite ratings from the daily diaries of 25 individuals with personality pathology. Results are discussed with the aim of elucidating GIMME's potential for clinical research and practice.

Indexed as

Biological Variation, PopulationAdultFemaleHumansIndividualityMaleMathematicsModels, PsychologicalPersonality DisordersStatistics as Topicconnectivity mapgroup iterative multiple model estimationidiographicinterindividual variationintraindividual variationnomotheticpersonality disorder

Identifiers

PMID27165092
PMCPMC5104664

What OpenQuestion holds

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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.