Multi-method cross-linguistic validation of the Activism and Radicalism Intention Scale for adolescents

The world is rapidly changing, and many societies face radicalization involving activism and sometimes violence. Adolescents are at increased risk of radicalization, yet validated scales to assess violent and non-violent radical intentions among youth are lacking. This study aimed to validate the Activism-Radicalism Intention Scale (ARIS) for use among French- and English-speaking adolescents (14–18 years) using data from 1,911 Canadian high school students ( M age = 15.67; SD age = 0.98). We employed confirmatory factor analysis (CFA) and Rasch analysis to evaluate the scale’s dimensionality, reliability, validity, and invariance across sociodemographic factors. The CFA supported distinct Activism Intention Scale (AIS) and Radicalism Intention Scale (RIS) for both language versions of the scale. The Rasch analysis provided item-level diagnostics for each subscale, with satisfactory model fit indices observed for both the AIS and RIS. Both the CFA and Rasch supported the scales’ reliability and convergent and structural validity, including its measurement invariance across languages, age, and gender. An algorithm for converting ordinal data into interval-level scores using Rasch estimations was developed to enhance the precision of the scales. Both the validated ordinal and interval-level scores of the ARIS provide evidence of its robustness for assessing violent and non-violent radical intentions in adolescents across the two languages.

Authors

Institutions

Publication Details

Journal
International Journal of Behavioral Development
Published
2026-03-13
DOI
https://doi.org/10.1177/01650254261423823
Primary Topic
Terrorism, Counterterrorism, and Political Violence
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multi-method cross-linguistic validation of the Activism and Radicalism Intention Scale for adolescents

Diana Miconi, Peter Adu, Cécile Rousseau
International Journal of Behavioral Development
Terrorism, Counterterrorism, and Political Violence
article

Multi-method cross-linguistic validation of the Activism and Radicalism Intention Scale for adolescents

Diana Miconi, Peter Adu, Cécile Rousseau
article en

Abstract

The world is rapidly changing, and many societies face radicalization involving activism and sometimes violence. Adolescents are at increased risk of radicalization, yet validated scales to assess violent and non-violent radical intentions among youth are lacking. This study aimed to validate the Activism-Radicalism Intention Scale (ARIS) for use among French- and English-speaking adolescents (14–18 years) using data from 1,911 Canadian high school students ( M age = 15.67; SD age = 0.98). We employed confirmatory factor analysis (CFA) and Rasch analysis to evaluate the scale’s dimensionality, reliability, validity, and invariance across sociodemographic factors. The CFA supported distinct Activism Intention Scale (AIS) and Radicalism Intention Scale (RIS) for both language versions of the scale. The Rasch analysis provided item-level diagnostics for each subscale, with satisfactory model fit indices observed for both the AIS and RIS. Both the CFA and Rasch supported the scales’ reliability and convergent and structural validity, including its measurement invariance across languages, age, and gender. An algorithm for converting ordinal data into interval-level scores using Rasch estimations was developed to enhance the precision of the scales. Both the validated ordinal and interval-level scores of the ARIS provide evidence of its robustness for assessing violent and non-violent radical intentions in adolescents across the two languages.

International Journal of Behavioral Development
McGill University (CA), Université de Montréal (CA)
Gender equality
Openalex Percentile: Top 28%
Terrorism, Counterterrorism, and Political Violence
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.