14234 research outputs found
Sort by
Taste the joy: How multi sensory simulation enhances young adults' hedonic expectations for healthy foods
No full textTo explore the effects of the number and combination of multi-sensory cues on the hedonic value of healthy food
Using Necessary Condition Analysis to Complement Multigroup Analysis in Partial Least Squares Structural Equation Modeling
No full textPaper published as:
Troiville, J., Moisescu, O. I., & Radomir, L. (2025). Using necessary condition analysis to complement multigroup analysis in partial least squares structural equation modeling. Journal of Retailing and Consumer Services, 82, 104018. https://doi.org/10.1016/j.jretconser.2024.104018
Abstract:
With the growing importance of partial least squares structural equation modeling (PLS-SEM) in marketing and consumer research, the use of Multigroup Analysis (MGA) for discovering observed heterogeneity (i.e., differences in relationships between variables for subgroups of the population under investigation) and deriving relevant operational results has become of great interest. However, these analyses are based exclusively on an additive sufficiency logic and do not permit researchers to test and validate hypotheses drawing on a necessity logic, the latter having been the focus of recent significant developments. Addressing this concern, the present paper offers guidelines for combining the use of Necessary Condition Analysis (NCA) and MGA performed with PLS-SEM. Taken together, these analyses can explore and improve knowledge about predefined subgroups of interest, enhance the understanding of relationships, refine the role of specific key antecedents by discovering meaningful necessary conditions, and therewith, contribute to theorizing. An empirical illustration drawing on the relationship between corporate social responsibility and customer loyalty is developed in a step-by-step fashion to provide marketing researchers with the guidelines to conduct the MGA and NCA, and finally report and interpret the results in accordance with both the sufficiency and the necessity logics. This integrative procedure contributes to the advancement of PLS-SEM applications. By delivering a better understanding of the group-specific results of a PLS-SEM-based MGA in a necessity logic, it promotes the complementary usage of sufficiency and necessity logics and therefore helps researchers to uncover novel theoretical and practical results when evaluating the data
The Method of Loci: The degree of proactive interference and the related re-usability of memory locations.
No full textThe study aims to measure the amount of proactive interference that plays an essential role in any memory process, in our case, in the context of the re-usability of once-used memory locations in immediate recall. We will also focus on additional cognitive mechanisms and abilities and their importance for effectively using the loci method. Namely, the role of Figural intelligence and its subtest Cubes, which measure mental rotations; Picture subtest, which measures manipulation with 2D images; and Matrices, which measure fluid intelligence. Also, we will focus on the role of the vividness of mental imagery and the vividness of movement imagery. Lastly, we will focus on the role of personality traits, mainly Openness to experience, especially on its two subfactors: Fantazie (Fantasy) and Novátorské činnosti (Novelty activities)
Retributive sentiments track both deterrent and compensatory concerns in a small-scale society
No full textWho Cares More About Having Moral Traits? Evidence from 67 Countries
No full textThe self-importance of moral identity reflects the relevance of possessing moral traits as part of self (internalization) and of being seen by others as moral (symbolization). We examined gender, age, and cultural differences in both components across 67 countries using Hofstede’s cultural dimensions and Uz’s tightness–looseness indices. We fit linear mixed-effects models with individuals nested within countries. Women scored higher than men on internalization and symbolization, and age showed small, positive within-country associations with both components of moral identity. Symbolization was higher in countries characterized by greater power distance, stronger collectivism (lower individualism), and greater masculinity – but only among younger participants. Symbolization was also higher in culturally tighter contexts, but only when tightness–looseness was indexed using a combination index. Internalization was higher in countries with lower power distance, stronger collectivism (lower individualism), and lower uncertainty avoidance. Its association with tightness–looseness depended on operationalization: internalization was higher in culturally tighter countries on the domain-general and combination indices, but lower in tighter countries on the domain-specific index. Overall, these findings provide a cross-national portrait of the self-importance of moral identity, revealing robust demographic gradients and component-specific cultural patterns in how people value moral traits privately and in social self-presentation
Linguistic and Social Meaning Match: An experiment on modal concord in English
No full textModal concord (MC) refers to the phenomenon where two modal elements of the same flavor and force in a sentence yield an interpretation of single modality (SM). In this paper, we report on an experimental study on MC in English, addressing their linguistic and social meaning. Our results show a strengthening effect by necessity MC and a weakening effect of possibility MC in that significantly higher speaker commitment ratings were received for necessity MC vs. SM constructions (i.e., must certainly vs. must) with the reverse pattern for possibility modal constructions (i.e., may possibly vs. may). Furthermore, MC and SM were shown to differ in social meanings, suggesting a correlation between the meaning strength of a linguistic expression and the social perception of the speaker
Translation, cross-cultural adaptation, and measurement properties of the TENDINopathy Severity assessment - Achilles (TENDINS-A) - Brazilian Portuguese
No full textThe aim of this study is to translate and cross-culturally adapt the TENDINS-A into Brazilian Portuguese and verify its measurement properties
What can reader studies of radiologist use of AI models teach us about adaptation? A signal detection modelling exploration
No full textA significant component in regulatory approval of diagnostic artificial intelligence (AI) models is the use of reader study evidence, diagnostic performance studies of radiologists on a curated set of images. Retrospective MRMC (multi-reader, multi-case) reader studies of AI use are commonly conducted in the field of medical AI, though they tend to overestimate AI performance and underestimate human performance through the use of aggregated metrics. Further, there has been limited investigation into the impact of diagnostic AI models on radiological decision-making, with few if any cognitive modelling studies undertaken. This has serious implications, as the evidence base needed for implementation of models is lacking verified cognitive research. As such, this paper explores a lost opportunity to model diagnostic reader studies to ask: what can reader studies teach us about radiologist adaptation to AI models?
In this study, we used a 2021 reader study of a commercially available Australian diagnostic system by Harrison.ai, consisting of 20 expert radiologists reading 1163 cases. We fit hierarchical signal detection models at the individual and pathology level to a reader study of 20 expert radiologists over 1163 cases and 127 pathologies. Our modelling results indicated that radiologists at the pathology and individual level had increased discriminability with AI, though with a more liberal response bias, leading to higher false positive rates. Further exploratory analysis based on these results indicated that disease coverage rates became homogenised with AI, as well as different AI-generated segmentations potentially influencing correct rejection rates. We provide real-world interpretations of these findings
The visual noise mechanisms underlying sex differences in the aging of global motion perception
No full textGlobal motion perception (GMP) is essential for tasks such as navigation, speed judgment, and motion-based obstacle avoidance. Previous research has identified sex differences in GMP aging, with older women showing a more pronounced decline in global motion efficiency compared to older man. However, the visual mechanisms underlying these sex differences in GMP aging remain unclear