Sudarat Sirisakpanit. The characteristics of the colored progressive matrices (CPM) and the advanced progressive matrices (APM) in thai students age 6-18 years old : The central region. Master's Degree(Clinical Psychology). Mahidol University. : Mahidol University, 2005.
The characteristics of the colored progressive matrices (CPM) and the advanced progressive matrices (APM) in thai students age 6-18 years old : The central region
Abstract:
The purpose of this research was to study the characteristics of Colored Progressive
Matrices (CPM) and Advanced Progressive Matrices (APM) and construct norms for Colored
Progressive Matrices tests (CPM) and Advanced Progressive Matrices tests (APM) for Thai
students aged between 6-18 years in the Central region. The sample consisted of 1,221
students, of whom 519 were 6-11 years and 702 were 12-18 years.
Results revealed that the CPM was rather easy for students aged between 6-11 years
( p =0.74), but it could effectively distinguish persons with high ability from those with lower
ability ( r =0.52) with high reliability (rtt=0.92). A principal component analysis, followed by a
series of varimax rotations of the principal components, was performed. The 6-factor solution
provided the most interpretable factor structure. Factor I was based on Balance. Factor II was
based on Category. Factor III was based on Creation. Factor IV was based on Assembly.
Factor V was based on Connection, and Factor VI was based on Relation. The APM, like the
CPM, was found moderately easy by students aged 12-18 years ( p =0.46). The APM had a
moderate discriminating power ( r =0.48) and high reliability (rtt=0.91). The 7-factor solution
provided the most interpretable factor structure. Factor I was based on Organization. Factor II
was based on Combination. Factor III was based on Subtraction. Factor IV was based on
Transformation. Factor V was based on Creation. Factor VI was based on Increase, and factor
VII was based on Category.
The results show that the CPM and the APM are fair quality tests and could be used
for constructing IQ score norms. In addition, the comparison of mean difference in scores in
both CPM and APM tests between sex, age and educational level found a significant
difference of mean in age and educational level. Therefore, IQ score norms of the CPM and
the APM classified by age and educational level were constructed. When using IQ norms, age
and educational level should be considered.