Lionetti Francesca, Keijsers Loes, Dellagiulia Antonio, Pastore Massimiliano
Department of Biological and Experimental Psychology, Queen Mary University of London London, UK.
Department of Developmental Psychology, Tilburg University Tilburg, Netherlands.
Front Psychol. 2016 Jun 22;7:941. doi: 10.3389/fpsyg.2016.00941. eCollection 2016.
For evaluating monitoring and parent-adolescent communication, a set of scales addressing parental knowledge, control and solicitation, and adolescent disclosure was proposed by Kerr and Stattin (2000). Although these scales have been widely disseminated, their psychometric proprieties have often been found to be unsatisfactory, raising questions about their validity. The current study examines whether their poor psychometric properties, which are mainly attributed to the relatively poor conceptual quality of the items, could have been caused by the use of less-than-optimal analytical estimation methods. A cross-validation approach is used on a sample of 1071 adolescents. Maximum likelihood (ML) is compared with the diagonal weighted least squares (DWLS) method, which is suitable for Likert scales. The results of the DWLS approach lead to a more optimal fit than that obtained using ML estimation. The DWLS methodology may represent a useful option for researchers using these scales because it corrects for their unreliability.
为了评估监测和亲子沟通情况，克尔和斯塔廷（2000年）提出了一套量表，涉及父母的知识、控制和询问以及青少年的披露情况。尽管这些量表已被广泛传播，但人们经常发现它们的心理测量特性并不令人满意，这引发了对其有效性的质疑。当前的研究考察了它们较差的心理测量特性（主要归因于项目相对较差的概念质量）是否可能是由于使用了不太理想的分析估计方法造成的。对1071名青少年的样本采用了交叉验证方法。将最大似然法（ML）与适用于李克特量表的对角加权最小二乘法（DWLS）进行了比较。DWLS方法的结果比使用ML估计得到的结果拟合度更佳。DWLS方法可能是使用这些量表的研究人员的一个有用选择，因为它纠正了量表的不可靠性。
