Internal and External Validation of the Empathy Toward Animals Scale
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The Empathy Toward Animals (ETA) scale measures two dimensions of animal-directed empathy: (1) Empathic Concern, encompassing the emotional aspects, and (2) Perspective Taking, encompassing the cognitive aspects. Although adapted from an existing measure of human-directed empathy, the original version of the ETA scale has not undergone a comprehensive investigation of its internal and external validity. Nevertheless, it continues to be used in research assessing animal-directed empathy, based on indicators of internal consistency and face/content validity. The current study sought to enhance the evidence for the ETA scale by (1) evaluating construct validity and (2) assessing convergent validity. To accomplish these objectives, a sample of 800 adults was recruited. Construct validity was evaluated using two sample cross-validation techniques to perform confirmatory and exploratory factor analyses, as well as assess internal consistency. Convergent validity was assessed through correlation matrices, t-tests, and a multiple linear regression exploring variables associated with the ETA scale. Results support the reliability of two distinct dimensions (i.e., Empathic Concern and Perspective Taking) and the latent variable (i.e., Empathy Toward Animals), and there were significant associations with conceptual constructs as expected (e.g., human-directed empathy and compassion, attitudes and beliefs about animals and nature, demographic variables). Additionally, human-directed empathy and nature relatedness significantly predict ETA. Implications for the definition and measurement of animal-directed empathy are discussed. The findings highlight the potential of leveraging empathy within interventions aimed at deepening human–animal bonds and promoting pro-environmental behaviors.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it