Assessing factor structure and measurement invariance of WISC-IV among almajiris attending quranic schools and pupils attending mainstream public primary schools in Northern Nigeria

We examined the factor structure and measurement invariance of the Weschler Intelligence Scale for Children (WISC-IV)- among 11-16-year-old <i>Almajiris</i> (street boys attending Quranic school) in Northern Nigeria, and age-comparable mainstream public primary school boys. Across 200 <i>Almajiris</i> and 201 public school children, we tested multiple plausible models to confirm the factor structure of WISC-IV, with the four-factor model (reflecting the four WISC domains) showing best fit for both groups. We then tested the four-factor model's measurement invariance using multi-group confirmatory factor analysis, which revealed full metric invariance between the two groups and partial scalar invariance, with subtests of the Working Memory Index (WMI) showing insufficient equivalence (internal bias). Further, examination of the latent means revealed that on the remaining domains VCI, PRI and PSI <i>Almajiris</i> as a group showed poorer performance than public school children (PSCs) not attributable to the bias of the subtests (external bias). Our study highlights within-country sub-population differences in the functioning of western tools in cross-cultural contexts, while offering cautious support for measurement invariance in certain domains of the WISC-IV (VCI, PRI and PSI) in this non-Western population.

Authors

Institutions

Publication Details

Journal
Applied Neuropsychology Child
Published
2025-03-13
DOI
https://doi.org/10.1080/21622965.2025.2475297
Primary Topic
Education and Islamic Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessing factor structure and measurement invariance of WISC-IV among almajiris attending quranic schools and pupils attending mainstream public primary schools in Northern Nigeria

Kwabena Kusi‐Mensah, Mohammed Abdulaziz, Aishatu Abubakar-Abdullateef, Taiwo Lateef Sheikh et al.
Applied Neuropsychology Child
Education and Islamic Studies
article

Assessing factor structure and measurement invariance of WISC-IV among almajiris attending quranic schools and pupils attending mainstream public primary schools in Northern Nigeria

Kwabena Kusi‐Mensah, Mohammed Abdulaziz, Aishatu Abubakar-Abdullateef, Taiwo Lateef Sheikh, Luning Sun
article en

Abstract

We examined the factor structure and measurement invariance of the Weschler Intelligence Scale for Children (WISC-IV)- among 11-16-year-old <i>Almajiris</i> (street boys attending Quranic school) in Northern Nigeria, and age-comparable mainstream public primary school boys. Across 200 <i>Almajiris</i> and 201 public school children, we tested multiple plausible models to confirm the factor structure of WISC-IV, with the four-factor model (reflecting the four WISC domains) showing best fit for both groups. We then tested the four-factor model's measurement invariance using multi-group confirmatory factor analysis, which revealed full metric invariance between the two groups and partial scalar invariance, with subtests of the Working Memory Index (WMI) showing insufficient equivalence (internal bias). Further, examination of the latent means revealed that on the remaining domains VCI, PRI and PSI <i>Almajiris</i> as a group showed poorer performance than public school children (PSCs) not attributable to the bias of the subtests (external bias). Our study highlights within-country sub-population differences in the functioning of western tools in cross-cultural contexts, while offering cautious support for measurement invariance in certain domains of the WISC-IV (VCI, PRI and PSI) in this non-Western population.

Applied Neuropsychology Child
Ahmadu Bello University (NG), African Union Commission (ET), University of Cambridge (GB), Kwame Nkrumah University of Science and Technology (GH), Africa Centres for Disease Control and Prevention (ET), Kwame Nkrumah University (ZM)
Quality Education
Openalex Percentile: Top 95%
Education and Islamic Studies
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.