Sociologický časopis / Czech Sociological Review 2024, 60(1)
Modern Methods of Data Modelling in Quantitative Social Science

Editorial

Moderní postupy v modelování kvantitativních sociálněvědních dat

Petr Soukup

Sociologický časopis / Czech Sociological Review 2024, 60(1): 5-6  

Articles

Exponential Random Graph Models: Modelling Relational Mechanisms in the Inter-organisational Network of the Czech Coal Subsystem

Tomáš Diviák, Petr Ocelík

Sociologický časopis / Czech Sociological Review 2024, 60(1): 7-35 | DOI: 10.13060/csr.2023.046  

This study provides the first comprehensive introduction to exponential random graph models (ERGM) in the Czech academic literature. In it we apply ERGM to a network of 68 organisations involved in the Czech coal policy subsystem. First, we summarise the major limitations of the statistical modelling of network data arising from the interdependencies among observations and explain principled solutions to them provided by ERGM. Next, we discuss ERGM’s metatheoretical assumptions and their embeddedness within the broader context of social science research. We then introduce three types of relational mechanisms (endogenous, individual, and dyadic)...

Testing the Psychometric Properties and Equivalence of the Czech Version of the Satisfaction with Life Scale (SWLS) using Confirmatory Factor Analysis, Item Response Theory, and Bayesian Modelling

Radka Hanzlová, Petra Raudenská

Sociologický časopis / Czech Sociological Review 2024, 60(1): 37-66 | DOI: 10.13060/csr.2023.047  

The Satisfaction with Life Scale (SWLS) is one of the most commonly used instruments for measuring life satisfaction. The aim of this study is to test the psychometric properties of the Czech version of the SWLS using Confirmatory Factor Analysis (CFA) and Item Response Theory (IRT) and to test its invariance between social groups in terms of gender, age, and education using Bayesian modelling on a representative sample of the Czech online population, as the scale has not yet been tested on representative data in the Czech Republic. The research sample consists of 960 respondents aged 18 to 69 years. The results confirmed that the psychometric properties...

The Use of Multilevel Models in Analysing Contextual Effects of Labour Force Participation Rate on Redistribution Support with Comparative Longitudinal Survey Data

Ivan Petrúšek

Sociologický časopis / Czech Sociological Review 2024, 60(1): 67-93 | DOI: 10.13060/csr.2024.001  

This article studies the links between a country’s labour force participation rate and attitudes towards income redistribution. The article also demonstrates how to specify a multilevel model when analysing contextual effects and it presents several types of random effects structures and options for centering explanatory variables in comparative longitudinal survey data. The contextual effect is decomposed into longitudinal and cross-sectional components for time-varying contextual variables, such as the labour force participation rate. The analysis of redistribution support based on ESS data from 27 countries and nine rounds shows how fundamentally...

Review essays

Některé méně známé postupy otevřené vědy v sociologii: Předregistrace a registrované reporty

Jan Urban, Veronika Anna Černá

Sociologický časopis / Czech Sociological Review 2024, 60(1): 95-109 | DOI: 10.13060/csr.2024.011  

Book reviews

Eva M. Hejzlarová, Magdalena Mouralová a Martina Štěpánková Štýbrová (eds.): Fantastická data ve veřejné politice a jak je využít

Vít Beneš

Sociologický časopis / Czech Sociological Review 2024, 60(1): 111-114  

Jan Keller: Současná francouzská sociologie

Miroslav Tížik

Sociologický časopis / Czech Sociological Review 2024, 60(1): 114-118  

Dashun Wang, Albert-László Barabási: The Science of Science

David Janků

Sociologický časopis / Czech Sociological Review 2024, 60(1): 118-121