Age-stratified norms for Raven’s standard progressive matrices for Sri Lankan adults

Abstract

Objective

The aim of this study was to create age-stratified norms for the Raven’s Standard Progressive Matrices (SPM) for Sri Lankan adults.

Methods

A sample of 610 adults (age: 18–72 years; education: 1–19 years), underwent the 60-item version of the SPM under individual supervision of a test administrator. The sample was stratified into 5-year age bands, and the norms are presented as percentile tables and percentile curves.

Results

The age-related changes were more accurately predicted by a curvilinear model (overall R² = 0.961) than a linear regression model (R² = 0.639). The SPM norms are presented as age-stratified percentile tables, as well as sex-, age- and education-adjusted multiple regression equations. The highest percentiles in the younger end of the age spectrum showed a ceiling effect. In the context of age-stratified US (1993) and British (1992) norms, older individuals in the Sri Lankan sample scored much lower than their Western counterparts. However, the difference narrowed in the younger age bands, showing no difference among the 18-to-22-year age bands in the three countries.

Conclusions

This age-by-country interaction can be partly explained by poorer education in the older individuals in the present sample compared to those in the US and UK standardization samples. SPM norms presented in this paper fill a hiatus in assessment of general intellectual ability in Sri Lankan adults. Given that Sri Lanka improves its educational, socioeconomic and health standards faster than the nations who have already reached higher standards, these norms would require re-standardization in the coming decades.

Keywords:

• Raven’s progressive matrices
• standard progressive matrices
• intelligence
• norms
• Sri Lanka adults

Acknowledgements

We thank Mrs. Subhagya Kulatunga and Mrs. Gamage Shiroma for their assistance in recruiting the participants and collecting data; and Dr. Tharika Neelawathura and Dr. Poornima Nimashi for their assistance in data entry.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This study was supported by the University of Peradeniya research grant URG/2016/5/M.