Intransigent compassion: Human and non-human animal self-similarity and meat avoidance intent dataset


Abstract:

The dataset provided with this article is related to “Lowering Barriers to Plant-based Diets: The Effect of Human and Non-Human Animal Self-Similarity on Meat Avoidance Intent and Sensory Food Satisfaction” [1]. The connection between compassion and adherence to plant-based diets is intuitive. The first dataset is a sample of 372 participants in the United States that was collected online. Trait compassion, measured using the Santa Clara Brief Compassion Scale [2], is positively associated with intent to avoid dietary meat consumption. The second set of data, collected online from 131 participants in the United States, provides evidence for the underlying psychological process: the relationship between trait compassion and meat avoidance intent is serially mediated by perceived similarity to other human animals and non-human animals. Similarity scores were measured inversely as perceived distance using heat-map type questionnaire items based on inclusion-of-other-in-the-self (IOS, [3]) and relational closeness scales [4]. Demographic information, physical characteristics, and measurement of athletic identity are provided [5]. These data can be used in psychology research on food studies specifically and to glean more insight on human's connection with other animals in general [6,7]. The supplementary data on participants’ physical characteristics such as BMI, combined with measurement of athletic identity, can inform sports and nutrition science. Survey print-outs, two datasets including scale items, and scripts for analysis are provided.

Año de publicación:

2021

Keywords:

  • Carnism
  • Human animal connection
  • plant-based diet
  • Compassion
  • Moral self-concept
  • Self-other similarity
  • Veganism
  • Vegetarianism
  • Psychological connection

Fuente:

scopusscopus

Tipo de documento:

Other

Estado:

Acceso abierto

Áreas de conocimiento:

  • Ética

Áreas temáticas:

    Contribuidores: