%0 Journal Article
%T Probit Model Analysis of Tourists¡¯ Revisit Intention to Nepal
%A Noora Shrestha
%J Open Access Library Journal
%V 8
%N 2
%P 1-14
%@ 2333-9721
%D 2021
%I Open Access Library
%R 10.4236/oalib.1107210
%X This study discusses on the identification of the tourists¡¯ destination satisfaction attributes and the influence of these factors on their revisit intention to Nepal. This study used the survey methodology for data collection and involved the distribution of self-administered questionnaires to a sample of tourists. An exploratory factor analysis, with principal component analysis and varimax rotation, was used to extract significant factors related to satisfaction with destination features. Using maximum likelihood method, a probit model was analyzed to test the impact of tourists¡¯ satisfaction with their revisit intention. The probit model predicts 93.5% of the cases correctly. The tourists were considered to be budget travellers as 92% of them spent less than $40 per person per day during their visit. The result also shows that satisfaction with destination characteristics such as historic and religious places, experiencing different lifestyle, trekking & mountaineering, adventure sports, and tourist guide service, are realized to significantly influence the probability of revisit intention of budget travellers to Nepal.
%K Probit Model
%K Exploratory Factor Analysis
%K Varimax Rotation
%K Budget Traveller
%K Revisit Intention
%K Nepal
%U http://www.oalib.com/paper/6520100