Psychologie pro praxi chce navázat na cennou tradici předchozího odborného časopisu Psychologie v ekonomické praxi s tím, že nabízí prostor pro publikování původních příspěvků z psychologie i příbuzných disciplín. Preferovány jsou tyto základní obory: psychologie pedagogická a školní, psychologie práce a organizace, psychologie sociální a vývojová, psychologie zdraví a klinická psychologie. Vítány jsou příspěvky, které se zabývají studiem psychologických témat v rámci různých aplikovaných oblastí či napříč kulturami.
PSYCHOLOGIE PRO PRAXI, Vol 52 No 2 (2017), 11–23
Úvod do analýzy relačních maticových dat pomocí metody Modelu sociálních vztahů (Social relation model – SRM)
[Introduction to relational matrix data analysis using the Social Relations Model (SRM)]
Eva Höschlová
DOI: https://doi.org/10.14712/23366486.2018.1
zveřejněno: 20. 09. 2018
Abstract
In psychology, especially social psychology, we often encounter situations where people are evaluated and judged by each other or when one group of people evaluates another group. In the case of quantification of such mutual perceptions, we work with matrix relational data whose statistical evaluation is considerably complicated. For a detailed analysis of mutual evaluations, Kenny (1994) developed a methodological approach called the Social Relational Model (SRM). Given that this is not a well-known method of data analysis for us yet, and could be used in a number of areas of psychological research, this article aims to present it briefly and will refer to other important and useful resources. In addition to the basic characteristics and the main observed effects, a specific example of the use of the method in the field of group communication analysis (frequency and quality) will be given. Finally, the areas where the SRM approach could be applied will be considered.
klíčová slova: communication; social perception; social relations; SRM; mutual evaluations
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Úvod do analýzy relačních maticových dat pomocí metody Modelu sociálních vztahů (Social relation model – SRM) is licensed under a Creative Commons Attribution 4.0 International License.
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ISSN: 1803-8670
E-ISSN: 2336-6486
