Study title

The data file contains the results of two different confirmatory factor analyses (CFA) and a latent class analysis (LCA) of the religious fundamentalism scales administered in the ALLBUS/GGSS 2023 survey. The scale was proposed by Detlef Pollack, Olaf Müller and Sara Kabogan of the University of Münster. It consists of four question-items, each measuring one dimension of religious fundamentalism (see Pollack et al. 2024): Superiority, Universality, Restoration and Exclusivity. In the original scale respondents rated each item on a four-point response scale. The item measuring exclusivity was already part of a forced-choice question on religious exclusivism vs. pluralism in the ALLBUS/GGSS module on religion. In order to preserve the time series, the item was kept in its original form. As it is sometimes difficult for users to construct continuous scales using nominal indicators, we estimated a CFA model including the three ordinal question items and the nominal item for exclusivism. The factor scores were stored and are part of this dataset. Two versions of the CFA were estimated. The first used the standard missing data imputation procedure implemented in Mplus. The second used listwise partitioning of the data. In addition, a classification of individuals using LCA was added to the dataset. Finally, the dataset includes the respondent identification number to merge the religious fundamentalism variables with data from the ALLBUS/GGSS 2023 survey (ZA8830 and ZA8831).