Prior to the analysis, the normal distribution of data was evaluated using the Kolmogorov-Smirnov test (21 ) . Since the absolute inter-eye osmolarity difference was non-continuously distributed (Kolmogorov-Smirnov test: p<0.05), its differences between subgroups were assessed using the Mann-Whitney U and the Kruskal-Wallis was used to analyze differences between various subgroups. The correlation between eye osmolarities was calculated using the Pearson correlation, whereas Spearman Correlation was used when OSDI scores or absolute inter-eye difference This site uses cookies to ensure you get a better browsing experience. Read our Privacy Policy. OK parameters were used. Correlations were categorized as weak (0.2-0.4), moderate (0.4-0.6), substantial (0.61-0.8), and almost perfect (0.8-1.0).
Spss statistical software v 19.0 for windows
SPSS statistical software v.19.0 for Windows is a powerful data analysis and statistical software package. It provides a comprehensive set of tools for data management, analysis, and reporting. The software is designed to handle a wide range of data types and statistical techniques, including regression analysis, hypothesis testing, and data visualization.
Lab products found in correlation
2 protocols using spss statistical software v 19.0 for windows
Ocular Osmolarity Analysis Protocol
Prior to the analysis, the normal distribution of data was evaluated using the Kolmogorov-Smirnov test (21 ) . Since the absolute inter-eye osmolarity difference was non-continuously distributed (Kolmogorov-Smirnov test: p<0.05), its differences between subgroups were assessed using the Mann-Whitney U and the Kruskal-Wallis was used to analyze differences between various subgroups. The correlation between eye osmolarities was calculated using the Pearson correlation, whereas Spearman Correlation was used when OSDI scores or absolute inter-eye difference This site uses cookies to ensure you get a better browsing experience. Read our Privacy Policy. OK parameters were used. Correlations were categorized as weak (0.2-0.4), moderate (0.4-0.6), substantial (0.61-0.8), and almost perfect (0.8-1.0).
COVID-19 Impact on Pediatric Mental Health
They were also asked if children and adolescents preferred going out or stay at home, if they had talked about not being able to go to school, if they watched the news together, and how they got information about the pandemic. For the latter questions, respondents were asked to provide a brief description of their feelings or experience. After the survey was completed, useful information was available through a web site created for this study in the following link: https://linktr.ee/pediatriaypandemia.
Questionnaires were divided into 3 groups for analysis, based on the age group classification of the World Health Organization: preschoolers (3-5 years), school-aged children (6-11 years), and adolescents (12-15 years). The results were analyzed using the SPSS ® statistical software, v.19.0 for Windows (SPSS Inc., Chicago, USA). Pearson's χ² test and frequency tables were used, as applicable.
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