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CORRESPONDING MEASUREMENT STANDARD ERROR OF THE OF INTERNAL CONSISTENCY COEFFICIENT OF THE SCORES OF RAVEN'S PROGRESSIVE MATRICES TESTS ACCORDING TO THE STUDIES CHARACTERISTICS AND SAMPLE SIZE
Author(s) -
Saif Said Abdullah Alhinai,
Hussain Ali Talib Al Kharusi,
Mahmoud Ibrahim
Publication year - 2019
Publication title -
ijasos- international e-journal of advances in social sciences
Language(s) - English
Resource type - Journals
ISSN - 2411-183X
DOI - 10.18769/ijasos.592128
Subject(s) - raven's progressive matrices , statistics , internal consistency , sample size determination , consistency (knowledge bases) , mathematics , standard error , sample (material) , reliability (semiconductor) , psychology , chemistry , psychometrics , physics , chromatography , cognition , geometry , neuroscience , power (physics) , quantum mechanics
This quantitative analytical study aims to discuss; the statistically significant differences in the measurement corresponding standard error of the internal consistency coefficient, for Raven' scores of successive matrix tests, which are attributed to: the studies characteristics that used the test. The relationship between the sample size and the internal consistency coefficient of successive matrix test scores, and finally the relationship between the coherence coefficient of internal consistency, the standard error of measurement and the standard deviation in Raven successive matrix tests. The study adopted the descriptive approach using Mata-analysis, and the use of the Fasha-Haas method for post-analysis to confirm the scores of Raven successive matrix tests. The study population consisted of (249) Arab and foreign studies that applied Raven successive matrices tests. The study sample consisted of (56) Arab and foreign studies which applied successive matrix tests. The findings revealed that; there is no statistically significant differences (p>.05) in the internal consistency coefficients and SEM due to the gender. However, there were statistically significant differences (p<.05) between the studies of the RPMT in the internal consistency coefficients and SEM due to the environment of the test administration, age category, and type of the RPMT. Further, the size of the reliability coefficient is not influenced by the size of the sample. Yet, there was a statistically significant (p< .05) positive relationship between sample size and SEM. Also, a statistically significant (p< .05) negative relationship was found between the size of the reliability coefficient and the SEM after controlling for standard deviation of the test scores.

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