Development and Psychometric Evaluation of the IDMUQ: A Short Measure to Assess Increased Digital Media Use in Preschool Children

Background: Today, the use of digital media is already present at an early stage in the lives of children. Even preschool children can already develop increased digital media use (IDMU). Empirical findings indicate associations of IDMU with several problems in psychosocial development. Therefore, it seems important to identify IDMU early, but there are very few specific approaches for preschool children. The aim of the present survey was to evaluate a newly developed brief screening instrument (based on DSM-5 criteria) named the IDMUQ (an abbreviation for “Increased Digital Media Use Questionnaire”). Methods: We investigated two samples, consisting of 341 parents and of 809 parents, with the IDMUQ, the Short CIUS, and the Parenting Stress Index. Data on screen time and sociodemographic aspects were also collected. We conducted an exploratory factor analysis (EFA) and a confirmatory factor analysis (CFA) as well as reliability and correlation analyses. Results: The findings of both the EFA and the CFA support a one-dimensional structure for the IDMUQ. The reliability coefficients (Cronbach’s alpha values) were 0.74 and 0.86. We observed first indications of criterion validity for the IDMUQ as well as correlations between parenting stress and IDMU. Conclusions: The results indicate that the IDMUQ, with its four items, is a promising screening tool to measure IDMU in preschool children.

Authors

Institutions

Publication Details

Journal
Social Sciences
Published
2024-09-06
DOI
https://doi.org/10.3390/socsci13090472
Citations
1
Primary Topic
Child Development and Digital Technology
Type
article
Field-Weighted Citation Impact
2.10

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development and Psychometric Evaluation of the IDMUQ: A Short Measure to Assess Increased Digital Media Use in Preschool Children

Hannah Schmidt, Silke Pawils, Ingo Menrath, Stefanie Witt et al.
1 citations
Social Sciences
Child Development and Digital Technology
2.10
article

Development and Psychometric Evaluation of the IDMUQ: A Short Measure to Assess Increased Digital Media Use in Preschool Children

Hannah Schmidt, Silke Pawils, Ingo Menrath, Stefanie Witt, Lutz Wartberg
article en
1 citations

Abstract

Background: Today, the use of digital media is already present at an early stage in the lives of children. Even preschool children can already develop increased digital media use (IDMU). Empirical findings indicate associations of IDMU with several problems in psychosocial development. Therefore, it seems important to identify IDMU early, but there are very few specific approaches for preschool children. The aim of the present survey was to evaluate a newly developed brief screening instrument (based on DSM-5 criteria) named the IDMUQ (an abbreviation for “Increased Digital Media Use Questionnaire”). Methods: We investigated two samples, consisting of 341 parents and of 809 parents, with the IDMUQ, the Short CIUS, and the Parenting Stress Index. Data on screen time and sociodemographic aspects were also collected. We conducted an exploratory factor analysis (EFA) and a confirmatory factor analysis (CFA) as well as reliability and correlation analyses. Results: The findings of both the EFA and the CFA support a one-dimensional structure for the IDMUQ. The reliability coefficients (Cronbach’s alpha values) were 0.74 and 0.86. We observed first indications of criterion validity for the IDMUQ as well as correlations between parenting stress and IDMU. Conclusions: The results indicate that the IDMUQ, with its four items, is a promising screening tool to measure IDMU in preschool children.

Social SciencesVol. 13(9)
Universität Hamburg (DE), MSH Medical School Hamburg – University of Applied Sciences and Medical University (DE), University Medical Center Hamburg-Eppendorf (DE), University of Lübeck (DE)
Bundesministerium für Gesundheit, Universität zu Lübeck
Openalex Percentile: Top 12%
Child Development and Digital Technology
2.10
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.