提供心理分析和心理测量学方面的工程技术和软件设计模式
Supply of engineering techniques and software design patterns in psychoanalysis and psychometrics sciences
摘要：
本研究的目的是引入软件技术和模型以及人工智能算法来改进CBT（认知行为疗法）方法在心理治疗中的不足。为此目的的演示方法是实施心理测量实验，其中隐藏的人类变量从测试的答案推断。在这份报告中，我们描述了项目反应理论的各种模型，并测量了能力的隐藏成分和个人情况的现实补充参数。心理测量学，选择合适的模型和估计其参数已被引入并使用R语言开发的库实现。由于多变量Rasch混合模型的高度灵活性，机器学习已被应用于这种数据建模方法。利用BIC和CML分别确定模型的隐类数和模型参数，获得测量不变性。项目对隐藏属性的敏感性在组之间（DIF）是不同的，因此介绍了检测它的方法。这个模拟是基于言语攻击数据集完成的。我们还分析和编译了一个参考模型，基于该证书的基础上发现的模式的软件工程。本研究的其他成果是提供一个解决方案来解释头脑的再造问题，通过一个本体为客户准备一个身份证。最后，指出在处理过程中，应以系统思维的形式应用所开发的知识，并推荐软件工程中的模式。
英文摘要：
The purpose of this study is to introduce software technologies and models and artificial intelligence algorithms to improve the weaknesses of CBT (Cognitive Behavior Therapy) method in psychotherapy. The presentation method for this purpose is the implementation of psychometric experiments in which the hidden human variables are inferred from the answers of tests. In this report, we describe the various models of Item Response Theory and measure the hidden components of ability and complementary parameters of the reality of the individual's situation. Psychometrics, selecting the appropriate model and estimating its parameters have been introduced and implemented using R language developed libraries. Due to the high flexibility of the Multi variant Rasch mixture Model, machine learning has been applied to this method of data modeling. BIC and CML were used to determine the number of hidden classes of the model and its parameters respectively, to obtain Measurement Invariance. The sensitivity of items to hidden attributes varies between groups (DIF), so methods for detecting it are introduced. This simulation is done based on the Verbal Aggression Dataset. We also analyze and compile a reference model based on this certificate based on the discovered patterns of software engineering. Other achievements of this study are related to providing a solution to explain the reengineering problems of the mind, by preparing an identity card for the clients by an ontology. Finally, applying the developed knowledge in the form of system thinking and recommended patterns in software engineering during the treatment process is pointed out.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
