通信心理学分析:一项文献研究

Agung Santoso
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引用次数: 0

摘要

随着传播心理学研究的不断增多,需要更多相关的统计分析技术来满足这些研究的需要。传统的分析技术,如基于线性模型的分析技术,假设观测值是独立的。这种假设在交际研究中经常被违背。因此,必须发展统计分析技术,以解决与通信事件中依赖观察的数据有关的问题。这些努力离不开文献研究来解决几个研究问题:(1)在心理学的交流中经常出现什么样的研究问题?(2)通常使用哪些统计分析技术来回答这些研究中的问题?(3)研究中可能使用哪些统计分析技术?(4)心理学传播学研究的需求与目前可用的统计分析技术之间的差异是什么?目前的研究试图通过文献综述的研究来解决这些问题。会议表明,特别是在印度尼西亚,关于传播的研究仍有很大的改进空间。许多目前可用的统计技术,如二元分析或社会网络分析,尚未用于解决与观察或社会关系数据的依赖性有关的问题。此外,应该开发统计模型或技术来衡量传播事件,以减少对自我报告评估的依赖。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analisis Statistika dalam Riset-Riset Psikologi Komunikasi: Sebuah Studi Literatur
The increasing number of studies in psychology on communication demanded the use of more relevant statistical analysis techniques that can meet the needs for these studies. Conventional analysis techniques, such as ones that were based on linear model, assume that the observation are independent. Such assumption were often violated in studies on communication. Therefore, it was imperative to develop statistical analysis techniques that could address problems related to data with dependent observation either in communication events. Such efforts could not be separated from literature studies addressing several research questions: (1) What kind of research questions  that frequently arose in communication in Psychology?, (2) What statistical analysis techniques that were commonly used to answer the questions in such studies?, (3) What potential statitical analysis techniques that could be used in the studies?, and (4) How were the discrepancies between the needs in communication studies in Psychology with the statistical analysis techniques currently available? The current studies attempted to address those questions by conducting a study of literature review. It was shown that there was still a big space for improvement for studies on communication particularly in Indonesia. Many statistical techniques that were currently available, such as dyadic analysis or social network analysis, have not been employed to address the issues related to dependence of observation or social relations data. Moreover, statistical models or techniques should be developed to measure communication events to reduce the dependence on self-report assessments.     
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