Escalante-Barrios Elsa Lucia, Suarez-Enciso Sonia Mariel, Putnam Samuel P, Raikes Helen, Fàbregues Sergi
Department of Education, Universidad del Norte, Km.5 Vía Puerto Colombia, Barranquilla 080001, Colombia.
Department of Educational Psychology, University of Nebraska-Lincoln, 114 Teacher College Hall, Lincoln, NE 68508, USA.
Children (Basel). 2021 Jan 22;8(2):74. doi: 10.3390/children8020074.
While the psychometric properties of the Spanish version of the Very Short Form of the Children's Behavior Questionnaire (CBQ-VSF) have been assessed in the US and Europe in samples composed of middle- and high-income parents with high levels of education, no studies have tested the instrument in low-income Spanish-speaking populations living in low- and middle-income countries. To fill this gap, our cross-sectional study assessed the psychometric properties of the Spanish version of the CBQ-VSF version in a sample of 315 low-income and low-educated parents with preschool children living in the Caribbean Region of Colombia. While our findings revealed problems that were similar to those identified in previous assessments of the CBQ-VSF Spanish version, they also showed unique problems related to the sociodemographic characteristics of our sample, containing many individuals with a low income and low educational level. Most of the participants gave extreme responses, resulting in a notable kurtosis and skewness of the data. This article describes how we addressed these problems by dichotomizing the variables into binary categories. Additionally, it demonstrates that merely translating the CBQ-VSF is insufficient to be able to capture many of the underlying latent constructs associated with low-income and low-educated Latino/Hispanic populations.
虽然儿童行为问卷简版(CBQ-VSF)西班牙语版本的心理测量特性已在美国和欧洲,针对由受过高等教育的中高收入父母组成的样本进行了评估,但尚无研究在生活在低收入和中等收入国家的低收入西班牙语人群中对该工具进行测试。为了填补这一空白,我们的横断面研究在哥伦比亚加勒比地区的315名有学龄前儿童的低收入、低教育水平父母样本中,评估了CBQ-VSF西班牙语版本的心理测量特性。虽然我们的研究结果揭示了与之前对CBQ-VSF西班牙语版本评估中发现的问题类似的问题,但也显示出与我们样本的社会人口特征相关的独特问题,样本中有许多低收入和低教育水平的个体。大多数参与者给出了极端回答,导致数据出现明显的峰度和偏度。本文描述了我们如何通过将变量二分法划分为二元类别来解决这些问题。此外,它表明仅仅翻译CBQ-VSF不足以捕捉与低收入和低教育水平的拉丁裔/西班牙裔人群相关的许多潜在隐性结构。