Abstract
The increasing incidence of animal attacks on crops has emerged as a major challenge for tribal farmers, necessitating a systematic evaluation of perceptions regarding their impact. The study, conducted in 2025, developed and validated a standardised Likert-type scale to measure the impact of wildlife crop damage among the tribal farmers. An initial set of 44 items was considered on the basis of literature review and expert consultation. Fourteen judges evaluated the statements’ relevancy, and based on predefined criteria (MRS > 4.00, RP >80 per cent, RW >0.80), 28 statements were retained. These statements were administered to 150 tribal farmers chosen from Attappady. Item analyses were undertaken using the critical ratio (t-test), and reliability analyses resulted in the elimination of 11 items, yielding a final scale comprising 17 statements. The scale confirmed a high internal consistency with a Cronbach’s alpha value of 0.914. Exploratory factor analysis confirmed the adequacy of the data (KMO + 0.795) and identified four components – nutritional, economic, psychological and institutional impacts – which explained 78.95 percent of total variance. The developed scale was found to be a reliable and valid instrument for examining the multidimensional impact of wildlife-induced crop damage among the tribal farmers.
The full text of this article is available as a PDF.
Download PDF- Bartlett, M. S. (1954). A note on the multiplying factors for various χ² approximations. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 16(2), 296–298. https://doi.org/10.1111/j.2517-6161.1954.tb00174.x
- Barua, M., Bhagwat, S. A., & Jadhav, S. (2013). The hidden dimensions of human–wildlife conflict: Health impacts, opportunity and transaction costs. Biological Conservation, 157, 309–316. https://doi.org/10.1016/j.biocon.2012.07.014
- DeVellis, R. F. (2012). Scale development: Theory and applications. SAGE Publications.
- Edwards, A. L. (1957). Techniques of attitude scale construction. Appleton-Century-Crofts.
- Galley, W., & Anthony, B. P. (2024). Beyond crop-raiding: Unravelling the broader impacts of human-wildlife conflict on rural communities. Environmental Management, 74(3), 590–608.
- Gatew, S., & Azadge, W. (2025). Human-wildlife conflict and its socio-economic impacts in northwest Ethiopia. Discover Life, 55(1). https://doi.org/10.1007/s11084-025-09685-6
- Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th ed.). Pearson.
- Hill, C. M. (2004). Farmers’ perspectives of conflict at the wildlife–agriculture boundary: Some lessons learned from African subsistence farmers. Human Dimensions of Wildlife, 9(4), 279–286. https://doi.org/10.1080/10871200490505710
- Kaiser, H. F. (1974). An index of factorial simplicity. Psychometrika, 39(1), 31–36. https://doi.org/10.1007/BF02291575
- Madhusudan, M. D. (2003). Living amidst large wildlife: Livestock and crop depredation by large mammals in the interior villages of Bhadra tiger reserve, South India. Environmental Management, 31(4), 466–475. https://doi.org/10.1007/s00267-002-2790-8
- Meena, D. C., Meena, B., Garai, S., Meena, H., Sankhala, G., & Chadda, A. (2022). Crop and livestock depredation by wild animals: The case of Ranthambore tiger reserve, India. Indian Journal of Extension Education, 38–41. https://doi.org/10.48165/IJEE.2022.58408
- Nunnally, J. C. (1978). Psychometric theory. McGraw-Hill.
- Nyhus, P. J. (2016). Human–wildlife conflict and coexistence. Annual Review of Environment and Resources, 41, 143–171. https://doi.org/10.1146/annurev-environ-110615-085634
- Pathak, D. K., Gupta, B. K., Mishra, G., Suryavanshi, A., Mishra, B. P., & Singh, L. (2026). Development and standardization of a scale to measure farmers’ risk perception towards climate change. Indian Journal of Extension Education, 62(2), 149–155. https://doi.org/10.48165/IJEE.2026.622RT03
- Rao, K., Maikhuri, R., Nautiyal, S., & Saxena, K. (2002). Crop damage and livestock depredation by wildlife: A case study from Nanda Devi biosphere reserve, India. Journal of Environmental Management, 66(3), 317–327. https://doi.org/10.1006/jema.2002.0587
- Rathi, R., Kukreti, M., & Bhatt, D. (2021). Estimation of losses to agricultural crops by the wild animals in Najibabad forest division. The Indian Journal of Animal Sciences, 90(8), 1201–1203. https://doi.org/10.56093/ijans.v90i8.109318
- Reddy, D. A., Garai, S., Maiti, S., Manjunath, K. V., Panja, A., & Sahani, S. (2023). Construction of scale to measure women farmers’ attitude towards climate resilient dairy farming practices. Indian Journal of Extension Education, 59(3), 141–144. https://doi.org/10.48165/IJEE.2023.59327
- Shanila, S., & Helen, S. (2025). Development of a scale to assess Kerala farmers’ attitude towards digital technologies in agriculture. Indian Journal of Extension Education, 61(4), 165–169. https://doi.org/10.48165/IJEE.2025.614RT02
- Shukla, G., Ghadei, K., Roy, S., Chennamadhava, M., & Singh, P. (2026). A scale for measuring entrepreneurial orientation of farmers’ producer companies towards secondary agriculture. Indian Journal of Extension Education, 62(1), 142–147. https://doi.org/10.48165/IJEE.2026.621RT01
- Thakur, R. K., Mehta, K., Kumar, V., & Lala, H. (2022). Increasing interference of stray and wild animals in farming: Reflections from western Himalayan foothills. Indian Journal of Ecology, 49(1), 57–63. https://doi.org/10.55362/ije/2022/3477
Looking up citing articles…

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.