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Public Domain Intelligence Tests: Psychometric properties of the Cog15 and ICAR16 cognitive ability scales

Kristjánsdóttir, Dagný LU and Zaiter, Aya LU (2023) PSYP01 20231
Department of Psychology
Abstract
The current paper aims to explore the psychometric properties of two public domain cognitive ability scales, Cog15 and ICAR16, and investigate how well they each capture the g-factor in a Swedish sample (N = 428). The motivation for choosing these aims is that public domain, free, and easily accessible intelligence tests are needed for measuring the g-factor. Principal components analysis (PCA), confirmatory factor analysis (CFA) with maximum likelihood estimation, and reliability analyses returned results that indicated that ICAR16 is the better tool when measuring the g-factor, since it explained more of the variance (28.3%) and returned better reliability measures (Cronbach’s α = .77, McDonald’s ω = .77). We recommend omitting some of... (More)
The current paper aims to explore the psychometric properties of two public domain cognitive ability scales, Cog15 and ICAR16, and investigate how well they each capture the g-factor in a Swedish sample (N = 428). The motivation for choosing these aims is that public domain, free, and easily accessible intelligence tests are needed for measuring the g-factor. Principal components analysis (PCA), confirmatory factor analysis (CFA) with maximum likelihood estimation, and reliability analyses returned results that indicated that ICAR16 is the better tool when measuring the g-factor, since it explained more of the variance (28.3%) and returned better reliability measures (Cronbach’s α = .77, McDonald’s ω = .77). We recommend omitting some of the items from the Cog15 and the ICAR16 scales. Future researchers should replicate the preliminary findings of this study on larger and more diverse samples to further understand the tests at hand, since Cog15 has yet to be researched as of now and ICAR16 is still under-researched. (Less)
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author
Kristjánsdóttir, Dagný LU and Zaiter, Aya LU
supervisor
organization
course
PSYP01 20231
year
type
H2 - Master's Degree (Two Years)
subject
keywords
general intelligence, intelligence testing, public domain, CFA, PCA
language
English
id
9125503
date added to LUP
2023-06-19 13:07:45
date last changed
2024-07-17 10:53:40
@misc{9125503,
  abstract     = {{The current paper aims to explore the psychometric properties of two public domain cognitive ability scales, Cog15 and ICAR16, and investigate how well they each capture the g-factor in a Swedish sample (N = 428). The motivation for choosing these aims is that public domain, free, and easily accessible intelligence tests are needed for measuring the g-factor. Principal components analysis (PCA), confirmatory factor analysis (CFA) with maximum likelihood estimation, and reliability analyses returned results that indicated that ICAR16 is the better tool when measuring the g-factor, since it explained more of the variance (28.3%) and returned better reliability measures (Cronbach’s α = .77, McDonald’s ω = .77). We recommend omitting some of the items from the Cog15 and the ICAR16 scales. Future researchers should replicate the preliminary findings of this study on larger and more diverse samples to further understand the tests at hand, since Cog15 has yet to be researched as of now and ICAR16 is still under-researched.}},
  author       = {{Kristjánsdóttir, Dagný and Zaiter, Aya}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{Public Domain Intelligence Tests: Psychometric properties of the Cog15 and ICAR16 cognitive ability scales}},
  year         = {{2023}},
}