Recognizing cultural concepts: Joyce, Woolf, Mann and Musil

The purpose of this thesis is to establish a direct relationship between literature and fields of knowledge such as science and technology, by focusing on some concepts that were fundamental for both science and the humanities at the beginning of the 20th century. The concepts are those of simultaneity, multiple points of view, map, relativity and acausality. In the spirit of several recent ideas, for example Katherine Hayles’ isomorphism notion, the dissertation shows how writers such as James Joyce, Virginia Woolf, Thomas Mann and Robert Musil developed the mentioned concepts within their narratives. The working hypothesis is that those concepts were at a crossroad of human activities, and that those authors used them extensively within their narratives. It is further argued that those same concepts – as developed by Joyce in Ulysses, Woolf’s shorts stories and novels from the end of the 1910’s until the end of the1920’s, Mann’s Der Zauberberg (The Magic Mountain), and Musil’s Der Mann ohne Eigenschaften (The Man Without Qualities) — are still fundamental for our conception of time and space today. The thesis is divided into two parts. The first two chapters will analyse the concepts of simultaneity and multiple points of view and their relationship to cartography as developed within English literature and culture. The next two chapters will address the concepts of relativity and acausality, as developed within German literature and culture.

In defence of modeling simultaneity for a correct approximation of cultural aspects: implications for food consumers studies with latent variables

Dealing with latent constructs (loaded by reflective and congeneric measures) cross-culturally compared means studying how these unobserved variables vary, and/or covary each other, after controlling for possibly disturbing cultural forces. This yields to the so-called ‘measurement invariance’ matter that refers to the extent to which data collected by the same multi-item measurement instrument (i.e., self-reported questionnaire of items underlying common latent constructs) are comparable across different cultural environments. As a matter of fact, it would be unthinkable exploring latent variables heterogeneity (e.g., latent means; latent levels of deviations from the means (i.e., latent variances), latent levels of shared variation from the respective means (i.e., latent covariances), levels of magnitude of structural path coefficients with regard to causal relations among latent variables) across different populations without controlling for cultural bias in the underlying measures. Furthermore, it would be unrealistic to assess this latter correction without using a framework that is able to take into account all these potential cultural biases across populations simultaneously. Since the real world ‘acts’ in a simultaneous way as well. As a consequence, I, as researcher, may want to control for cultural forces hypothesizing they are all acting at the same time throughout groups of comparison and therefore examining if they are inflating or suppressing my new estimations with hierarchical nested constraints on the original estimated parameters. Multi Sample Structural Equation Modeling-based Confirmatory Factor Analysis (MS-SEM-based CFA) still represents a dominant and flexible statistical framework to work out this potential cultural bias in a simultaneous way. With this dissertation I wanted to make an attempt to introduce new viewpoints on measurement invariance handled under covariance-based SEM framework by means of a consumer behavior modeling application on functional food choices.