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1821“…Statistical analysis was performed using SPSS software version 17. RESULTS: The study included 100 patients with BCC, the average age of patients was 51.87 years, with a sex ratio F/M = 0.6. …”
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1822por Bangi, Balaji Babu, Ginjupally, Uday, Nadendla, Lakshmi Kavitha, Lakshmi B, Mounika Reddy Mekala, Jaya, Kakumani, Aswani“…The obtained data were analyzed using SPSS 20.0 software. RESULTS: The gustatory defect was related to sweet, sour, bitter and salt, with significant changes in sour (33.3% showed hypoguesia) taste in OSMF subjects and 13.3%showed hypoguesia to all tastants in gutka chewers and hypoguesia to salt, sour and bitter to grade III compared in grade I and II. …”
Publicado 2019
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1823“…Data that were collected from 411 participants were subjected to analysis. Version 25 of SPSS (Statistical Package for Social Science) and PROCESS macro were used to analyze mediation, moderation, and moderated mediation effects. …”
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1824“…Descriptive statistics, Pearson correlation analysis and the bootstrap method were employed to analyse data using SPSS 23.0 software. RESULTS: The participants reported a medium level of ProQOL. …”
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1825por Ibrahim, Mohamed AwadElkarim Mohamed, Osman, Osman Babiker, Ahmed, Waled Amen Mohammed“…The collected data was analyzed using SPSS version 22. RESULTS: The study showed that most of participants have previous training on patient safety and about 81.7% of them had heard about global aims of patient safety. …”
Publicado 2019
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1826“…The data was analyzed by hierarchical multiple regression analysis on SPSS 23 software program. The results indicated that self-efficacy and decisiveness significantly predicted hopefulness, while curiosity did not predict hopefulness and only independent self-construal had the predictive effect on hopefulness. …”
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1827“…Next, the data were collected through a questionnaire survey, and the questionnaire data were processed using SPSS 24.0 and AMOS 22.0. The overall relationships of each factor were quantitatively analyzed with Structural Equation Modeling (SEM). …”
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1828“…Data were analysed using IBM SPSS version 23 (IBM Corp, Armonk, NY). Descriptive statistics are presented as frequency and percentages. …”
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1829“…Analysis was done using SPSS program. RESULTS: The study included 164 patients, all of them were men. …”
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1830por Cai, Gangwei, Xu, Lei, Gao, Weijun, Hong, Yan, Ying, Xiaoyu, Wang, Yan, Qian, Fanyue“…These panel data were analyzed by descriptive statistics and a correlation analysis (a one-way ANOVA and a Pearson correlation analysis in SPSS26). The empirical analysis showed that the Echigo–Tsumari Art Triennial (exhibition-driven tourism) had positive impacts on sustainable tourism, economics, and the population; its correlations with Niigata were also clear. …”
Publicado 2020
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1831por Li, Qiaoyan, Chen, Siqi, Liu, Ke, Long, Danfeng, Liu, Diru, Jing, Zhengchao, Huang, Xiaodan“…Nutritional intake and gut microbial diversity were analyzed with bioinformatics tools and SPSS 20.0. Results: Alpha diversity was not significantly different among groups, whereas beta diversity of gut microbiota and nutrient intake were significantly higher among MMT patients. …”
Publicado 2020
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1832“…Data were collected from 1,840 7th grade students in South Korea and analyzed with descriptive statistics, Pearson’s correlation coefficients, and a path analysis using SPSS 21.0 and AMOS 23.0. The path analysis showed that self-esteem and aggressiveness directly influenced smartphone dependency, while affective parenting attitude, peer attachment, resilience, self-esteem, and depressive symptoms indirectly influenced it. …”
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1833“…The final sample consisted of 895 university students in China; The Statistical Package for the Social Sciences (SPSS) version 22 was utilized to conduct statistical analysis. …”
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1834por Arulogun, Oladiran Tayo, Akande, Oluwatobi Noah, Akindele, Akinyinka Tosin, Badmus, Taofeeq Alabi“…The data article also includes questionnaire instrument administered via google form, 900 responses received in spreadsheet formats, chats generated from the responses, the Statistical Package of the Social Sciences (SPSS) file, the descriptive and reliability statistics for all the variables. …”
Publicado 2020
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1835“…Data analysis was performed using Pearson’s correlation coefficient and stepwise multiple regression by SPSS 23. RESULTS: The results indicated that 41.1% and 54.4% of patients with bipolar I disorder experienced low level of sleep quality and QOL, respectively. …”
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1836por Hosseini Fard, Reihaneh, Hosseini Fard, Raziyeh, Moradi, Mohammad, Hashemipour, Maryam Alsadat“…The t-test, Chi-Square with the SPSS 11.5 program were used in data analysis. RESULTS: In total, 240 mobile phones were cultured for microorganisms, while 65.8% (n = 158) were culture-positive. …”
Publicado 2018
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1837por Djakpo, Dodji Kossi, Wang, Zhiquan, Zhang, Rong, Chen, Xin, Chen, Peng, Antoine, Malyn Martha Lilac Ketisha“…The CBCs of these patients, following a confirmed diagnosis of COVID-19, were retrospectively analyzed and a significant P<0.05 was found after a full statistical analysis was conducted using the Statistical Package for the Social Sciences (IBM SPSS). CBC analysis revealed changes in the levels of red blood cells (RBCs), hemoglobin (HGB), hematocrit (HCT), mean corpuscular volume (MCV), and C-reactive protein (CRP). …”
Publicado 2020
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1838“…The validated questionnaire was distributed and the data were analyzed by SPSS software using t-test, one-way ANOVA, and chi-square test. …”
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1839“…Regression analyses and conditional indirect effects were tested by SPSS and PROCESS with 374 matched supervisor–subordinate pairs. …”
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1840“…In addition, we performed exploratory factor analysis, frequency analysis, reliability analysis, and hierarchical multiple regression analysis, using SPSS Statistics for Windows, Ver. 23.0. The results were as follows: (1) The physical activity level of the previous exercise participation experience (EPE) group had a greater effect on physical activity obstructions compared with the non-experience (NE) group. (2) The results for the effects of exercise recognition on the physical activity level and physical activity obstructions indicated that exercise recognition in the two groups increased the relative effects on physical activity obstructions in all variables except for the physical obstructions of the EPE group. …”
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