As a transdisciplinary questionnaire combining psychometrics and art theory, RizbA enables a quantitative measurement of pictorial expression in terms of a formal image analysis. This study explores its factor structure and a potential gap between theory and empirics.The sample consists of 275 contemporary pictorial works by artists and nonprofessionals, rated by 179 experts in a randomized online survey. Three path models were specified and computed as CFA: models A and B based on the results of the two previous studies, model C on the theoretical framework of the initial study. Model C was additionally tested on a combined dataset of all three studies.While models A and B did not converge, model C was associated with fit indices as follows: χ2 = 1299.752, df = 278, p = .000, RSMEA = .122 (90% CI = .116, .129), CFI = .712, TLI = .679, SRMR = .135 and for the combined dataset: χ2 = 6860.824, df = 278, p = .000, RSMEA = .086 (90% CI = .084, .088), CFI = .740, TLI = .696, SRMR = .084.Studies implicate reliability, but there might not be a globally stable factor structure across artworks. Only model C partly suggests an acceptable fit for the combined data. The results speak to a methodological gap between empirics and theory due to art being highly ambiguous with various analysis options. Further postdisciplinary approaches are needed to develop a theory-based measurement model for pictorial expression, which might to do justice to the arts.