Psychometric properties of the stroop color-word test in non-pathological colombian population

31Citations
Citations of this article
96Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

The aim of this article is to review the psychometric properties of the Stroop Color and Word Test Golden (2007) in Colombian nonclinical population. 1,332 participants, 561 males (42.1%) and 771 women (57.9%) between 7 and 80 years old, (M = 29.80 SD = 17.95) grouped into age ranges of 16-44 years (48.5%), 7-15 (28.1%), 45-64 (18.1%) and 65-80 (5.2%). Reliability was assessed using test-retest through intraclass correlation coefficient with IC95% far ten minutes between the two applications. Construct validity was measured by Principal Component Analysis ACP. Convergent validity was calculated by Pearson r between Stroop subscales and TMT-B. Parallel analysis of Horn and gave evidence ACP three components explaining 86.84% of the variance. Pearson r correlations Stroop and TMT-B were significant at 0.01 to -0.41 values for P; -0.35 for C; from -0.40 to -0.14 for PC and Interference. Reliability found was higher than 0.70 in all Stroop scales. Discriminant validity found no difference between men and women, but if for age stratum and schooling. Means and standard deviations were lower Colombian population at all scales to the Spanish version, which can be explained by significant cultural differences. These results support the Stroop is valid and reliable for different age groups of no pathological populations in Colombia.

Cite

CITATION STYLE

APA

Barreto, L. C. R., Pulido, N. del C., & Roa, C. A. P. (2016). Psychometric properties of the stroop color-word test in non-pathological colombian population. Universitas Psychologica, 15(2), 255–272. https://doi.org/10.11144/Javeriana.upsy15-2.ppst

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free