Evidence map›Paper›PMID 37425158›Full record

ArticleFrontiers in psychology2023

Assessing affect in adolescents with e-diaries: multilevel confirmatory factor analyses of different factor models.

Matthias F Limberger, Florian Schmiedek, Philip S Santangelo, Markus Reichert, Lena M Wieland, Oksana Berhe, Andreas Meyer-Lindenberg, Heike Tost, Ulrich W Ebner-Priemer

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

9 authors at 5 institutions in 2 countries.

Matthias F LimbergerMental mHealth Lab, Institute for Sport and Sport Science, Faculty for Humanities and Social Sciences, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany.
Florian SchmiedekLeibniz Institute for Research and Information in Education (DIPF), Frankfurt, Germany.
Philip S SantangeloMental mHealth Lab, Institute for Sport and Sport Science, Faculty for Humanities and Social Sciences, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany.
Markus ReichertMental mHealth Lab, Institute for Sport and Sport Science, Faculty for Humanities and Social Sciences, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany.
Lena M WielandMental mHealth Lab, Institute for Sport and Sport Science, Faculty for Humanities and Social Sciences, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany.
Oksana BerheDepartment of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany.
Andreas Meyer-LindenbergDepartment of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany.
Heike TostDepartment of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany.
Ulrich W Ebner-PriemerMental mHealth Lab, Institute for Sport and Sport Science, Faculty for Humanities and Social Sciences, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany.
Heidelberg University · DEIndividual Development and Adaptive Education · DEKarlsruhe Institute of Technology · DEUniversity Hospital Heidelberg · DEUniversity of Luxembourg · LU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the last two decades, e-diary studies have gained increasing interest, with a dominant focus on mood and affect. Although requested in current guidelines, psychometric properties are rarely reported, and methodological investigations of factor structure, model fit, and the reliability of mood and affect assessment are limited. We used a seven-day e-diary dataset of 189 adolescent participants (12-17  years). The e-diary affect assessments revealed a considerable portion of within-person variance. The six-factor model showed the best model fit compared to the less complex models. Factor loadings also improved with the complexity of the models. Accordingly, we recommend that future e-diary studies of adolescents use the six-factor model of affect as well as reporting psychometric properties and model fit. For future e-diary scale development, we recommend using a minimum of three items per scale to enable the use of confirmatory multilevel factor analyses.

Indexed as

adolescentsaffectambulatory assessmentpsychometric propertiesreliability

Identifiers

PMID37425158
PMCPMC10328383
OpenAlexW4381929092

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.