使用条件熵网络正序计量法研究高中青少年学生自我价值的变化。

IF 5.3 3区 心理学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Multivariate Behavioral Research Pub Date : 2024-09-01 Epub Date: 2024-07-12 DOI:10.1080/00273171.2024.2372635
Emanuela Furfaro, Fushing Hsieh, Maureen R Weiss, Emilio Ferrer
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引用次数: 0

摘要

我们采用了一种分析方法来进行序数测量,并用它来研究高中青少年学生样本中自我价值的结构及其随时间的变化。我们使用基于熵的测量方法来表示自我价值及其各个子域的变化,从而捕捉观察到的不确定性。然后,我们研究了高中一学期中四个时间点的熵的演变情况。我们的分析方法提供了关于自我各个维度的配置信息,以及这些维度之间与时间相关的变化和关联。我们用一个网络来描述自我价值随时间的变化。这种方法还能识别出表现出不同关联模式的青少年学生群体,从而强调了考虑数据异质性的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using Conditional Entropy Networks of Ordinal Measures to Examine Changes in Self-Worth Among Adolescent Students in High School.

We implement an analytic approach for ordinal measures and we use it to investigate the structure and the changes over time of self-worth in a sample of adolescents students in high school. We represent the variations in self-worth and its various sub-domains using entropy-based measures that capture the observed uncertainty. We then study the evolution of the entropy across four time points throughout a semester of high school. Our analytic approach yields information about the configuration of the various dimensions of the self together with time-related changes and associations among these dimensions. We represent the results using a network that depicts self-worth changes over time. This approach also identifies groups of adolescent students who show different patterns of associations, thus emphasizing the need to consider heterogeneity in the data.

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来源期刊
Multivariate Behavioral Research
Multivariate Behavioral Research 数学-数学跨学科应用
CiteScore
7.60
自引率
2.60%
发文量
49
审稿时长
>12 weeks
期刊介绍: Multivariate Behavioral Research (MBR) publishes a variety of substantive, methodological, and theoretical articles in all areas of the social and behavioral sciences. Most MBR articles fall into one of two categories. Substantive articles report on applications of sophisticated multivariate research methods to study topics of substantive interest in personality, health, intelligence, industrial/organizational, and other behavioral science areas. Methodological articles present and/or evaluate new developments in multivariate methods, or address methodological issues in current research. We also encourage submission of integrative articles related to pedagogy involving multivariate research methods, and to historical treatments of interest and relevance to multivariate research methods.
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