List of Articles اپیدمی

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  1 - Investigating the Effect of Leisure Time's Perceived Risks on Sports Tourists’ Social Happiness During COVID_ 19 Pandemic
  sahar pirjamadi Ahmad  Mahmoudi Vahid  Saatchian Kamran Romiani
  10.52547/journalitor.36190.10.20.1
  This descriptive study sought to investigate the effect of leisure time's perceived risks on the sports tourists’ social happiness during the COVID_ 19 Pandemic using the structural equation model. The study’s statistical population comprised all tourists who used sport More

  This descriptive study sought to investigate the effect of leisure time's perceived risks on the sports tourists’ social happiness during the COVID_ 19 Pandemic using the structural equation model. The study’s statistical population comprised all tourists who used sports tourism complexes in Mashhad, out of whom 381 people were selected via purposive sampling. The required data were collected via Ishraqi et al’ (2017) perceived risks questionnaire and the oxford social happiness scale. The questionnaires’ face and content validities were confirmed by experts, and their construct validity was confirmed via exploratory and confirmatory factor analysis. Moreover, the questionnaires’ reliability, obtained through Cronbach's alpha, was found to be over 0.7. As for analyzing the data, descriptive and inferential statistics such as one-sample T-test and structural equation modeling were used. The study’s results indicated a significant difference between the mean perceived risk components, the tourists’ happiness, and the theoretical mean. Furthermore, a significant correlation was found between perceived risk components and the tourist's happiness during the COVID_ 19 Pandemic. Therefore, it is emphasized that factors such as supervision, planning, hardware, security, information provision, organizational matters, and internationally recognized methods be considered in setting sports tourism policies to prevent the psychological consequences of COVID_ 19 and achieve perfect social happiness. Manuscript profile
• Open Access Article
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  2 - Data Analyses in Veterinary Research & Practice
  Negin Esfandiary MohammadArad zandieh
  https://doi.org/10.61186/eltiamj.10.2.4
  Researchers can interpret and analyze livestock problems and diseases by using data obtained from different characteristics of animals and their environment. The pivotal role of statistical analysis of data in the field of veterinary research & practice is inevitable. I More

  Researchers can interpret and analyze livestock problems and diseases by using data obtained from different characteristics of animals and their environment. The pivotal role of statistical analysis of data in the field of veterinary research & practice is inevitable. In this review article, shedding light on its significance in unraveling complex patterns and drawing reliable conclusions from diverse datasets. The veterinary domain, characterized by a spectrum of species and inherent biological variability, necessitates robust statistical methodologies to discern meaningful insights. In order to make inferences about disease causation or a researcher's hypothesis, data must be categorized and the goal is to decide whether the groups are statistically different or not. Finally, using a suitable statistical test, the research hypothesis is rejected or accepted, and finally the necessary interpretations are made. The researcher can decide what data should be collected and how. In practice, in this case, the researcher's hands are open and they can make the best possible decision, but often prospective data collection is costly and time-consuming. Another mode is retrospective research, which is often based on data collected by veterinarians from slaughterhouses, laboratories, clinics, inoculation centers, etc. or from other organizations and institutions. The article explores a range of statistical techniques applied in veterinary research and practice, including data normalization, hypothesis test, parametric and non-parametric test, regression and coefficient test, and validity in veterinary medicine. These futures has shedding light on animal interactions and patterns. Ultimately, this review article serves as a comprehensive guide for researchers and practitioners in veterinary science, offering insights into the nuanced application of statistical analyses. By navigating the complexities of veterinary data, it aims to empower the scientific community to leverage statistical tools effectively, ultimately advancing the quality and reliability of research in veterinary medicine. Manuscript profile