Criterion validity of a self-reported web-based data collection tool to measure daily school travel in middle school children

BACKGROUND: Various interventions have been developed with the intention to increase the amount of physical activity among children, including those promoting active school travel (AST). However, no gold standard currently exists for measuring different travel modes in AST. This study evaluates the criterion validity of a web-based data collection tool designed for children to self-report their school travel. PURPOSE: To assess the criterion validity of a web-based data collection tool for daily self-registration of commuting mode, time, and distance among middle school children in Sweden. METHODS: Thirty children (10-12 years old) from six schools in Falun, Sweden, were recruited using snowball sampling. The children self-reported their school travel data for one day, including travel mode, commuting time, and distance. Their reports were compared to a criterion standard based on direct observations. Spearman correlation and the Wilcoxon signed-rank test were used to analyze the accuracy of the self-reported data. RESULT: =0.953-0.989, p < 0.001). The Wilcoxon signed rank test showed no significant differences between self-reported data and criterion standard (p = 0.243-0.903). CONCLUSION: The strong agreement between self-reported and observed travel data indicates high criterion validity, suggesting that the web-based data collection tool is a reliable method for middle school children to self-report their daily school travel.

Authors

Institutions

Publication Details

Journal
BMC Public Health
Published
2026-05-11
DOI
https://doi.org/10.1186/s12889-026-27628-2
Primary Topic
Urban Transport and Accessibility
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Criterion validity of a self-reported web-based data collection tool to measure daily school travel in middle school children

Mathias Andersson, Elena Tseli, Annie Palstam, Anna-Karin Lindqvist
BMC Public Health
Urban Transport and Accessibility
article

Criterion validity of a self-reported web-based data collection tool to measure daily school travel in middle school children

Mathias Andersson, Elena Tseli, Annie Palstam, Anna-Karin Lindqvist
article en

Abstract

BACKGROUND: Various interventions have been developed with the intention to increase the amount of physical activity among children, including those promoting active school travel (AST). However, no gold standard currently exists for measuring different travel modes in AST. This study evaluates the criterion validity of a web-based data collection tool designed for children to self-report their school travel. PURPOSE: To assess the criterion validity of a web-based data collection tool for daily self-registration of commuting mode, time, and distance among middle school children in Sweden. METHODS: Thirty children (10-12 years old) from six schools in Falun, Sweden, were recruited using snowball sampling. The children self-reported their school travel data for one day, including travel mode, commuting time, and distance. Their reports were compared to a criterion standard based on direct observations. Spearman correlation and the Wilcoxon signed-rank test were used to analyze the accuracy of the self-reported data. RESULT: =0.953-0.989, p < 0.001). The Wilcoxon signed rank test showed no significant differences between self-reported data and criterion standard (p = 0.243-0.903). CONCLUSION: The strong agreement between self-reported and observed travel data indicates high criterion validity, suggesting that the web-based data collection tool is a reliable method for middle school children to self-report their daily school travel.

BMC Public HealthVol. 26(1)
Dalarna University (SE), Luleå University of Technology (SE), Sahlgrenska University Hospital (SE), Karolinska Institutet (SE), University of Gothenburg (SE)
Högskolan Dalarna
Openalex Percentile: Top 4%
Urban Transport and Accessibility
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.