The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
A Preliminary Study on the Correlation Factor Analysis of Language Cognitive Assessment System Based on Scale Construction
Abstract
This paper explores the 12 dimensions of language cognition assessment system using factor analysis. Principal component analysis and correlation analysis of factors within the system were conducted on the language cognition assessment system. Factor analysis and principal component analysis: KMO: 0.934, weak bias correlation, suitable for factor analysis, and the contribution of principal component variance was 79.837%, respectively. The correlations between the 12 factors ranged from 0.611-0.903. The correlation values between the remaining 11 factor assignments and the total score of the system were higher than the correlations between the subscales. The system is constructed with good structural validity, but the correlations between the factors are strong. It is suggested that the indicators be combined or the form of the questions be modified to provide guidance for the modification of the language cognition assessment system.
Related Content
|
Samuel O. Pratt.
© 2025.
27 pages.
|
|
Cleophas Gwakwara, Eric Blanco Blanco Niyitunga.
© 2024.
16 pages.
|
|
Rohit Rastogi, Devendra Kumar Chaturvedi.
© 2023.
24 pages.
|
|
Zhou Yu Yu.
© 2023.
10 pages.
|
|
Omobolanle Omisade, Alice Good.
© 2023.
13 pages.
|
|
Sergey Sokolov, Anatoliy Kondratiev, Nataliya Lesteva, Nataliya Dragina.
© 2023.
13 pages.
|
|
Bongs Lainjo, Hanan Tmouche.
© 2023.
17 pages.
|
|
|