Spss 25.0 statistical analysis software

Manufactured by IBM

Sourced in United States

SPSS 25.0 is a statistical analysis software package developed by IBM. It provides a comprehensive set of tools for data analysis, including data management, statistical modeling, and visualization. The software is designed to assist users in analyzing complex data and extracting meaningful insights.

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5 protocols using spss 25.0 statistical analysis software

Statistical Analysis of Efficacy and Safety

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Excel were used to establish the database, and the efficacy indicators were analyzed by full analysis set and per-protocol set. Safety data set was used for Safety analysis.
SPSS25.0 statistical analysis software was used for data analysis in this study. If measurement data were in line with normal distribution, the results were represented by Mean±standard deviation (

\bar{x} \pm S

). Paired sample T test was used within groups, and independent sample T test was used between groups. For those not conforming to normality, the results were represented by quartiles and nonparametric test. Chi-square test was used for counting data. The incidence of adverse events was compared by chi-square test. P < .05 was statistically significant.

Mei J., Yang L., Wang D, & Wang H. (2021). Efficacy and safety of Shenkang injection in the treatment of chronic renal failure: A protocol of a randomized controlled trial. Medicine, 100(48), e27748.

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Serum Vitamin D and Myopia Relationship

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EpiData 3.0 software was used to establish the database, and the questionnaire and visual acuity data were recorded. Serum 25(OH)D concentration was non-normally distributed, expressed as P50 (P25∼P75). The Mann-Whitney U rank sum test was used to compare the difference of serum 25(OH)D concentration among different genders, different myopia degree and whether there were extracurricular tutoring classes. Kruskal-Wallis test with k independent samples was used to compare serum 25(OH)D concentrations between different time outdoors, different Parental myopia status. Enumeration data were expressed as percentage, and the chi-square test was used for comparison between groups. The odd ratio value and 95% confidence interval (95% CI) of the group with serum 25(OH)D deficiency were evaluated by multivariate Logistic regression model. Since there was a high correlation between the right eye SE and the left eye SE (r = 0.94, P < .01), we randomly select one visual data between the left and the right eye, and finally the visual acuity data of the right eye was used in the analysis of this study. The correlation between serum 25(OH)D concentration and SE was evaluated by multiple linear regression. Statistical analysis was performed using SPSS 25.0 statistical analysis software package. P-values < .05 were considered to be significant.

Gao F., Li P., Liu Y.Q, & Chen Y. (2021). Association study of the serum 25(OH)D concentration and myopia in Chinese children. Medicine, 100(26), e26570.

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Mitigating Common Method Bias

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This study controls the common method deviation from two aspects: procedural control and statistical testing (Podsakoff et al., 2003 (link)). Procedural control includes the methods of reverse scoring for some questionnaire items, separating the arrangement of different scales, and allowing participants to answer the questionnaires anonymously. In addition, we used the Harman single factor in SPSS25.0 statistical analysis software to test whether the common methods variance is in the acceptable range. The results show that the first factor can explain 33.621% of variances, which is far below 40%, and it shows that the CMV of the data is not significant and will not affect the reliability of the research conclusion.

Yan A., Tang L, & Hao Y. (2021). Can Corporate Social Responsibility Promote Employees’ Taking Charge? The Mediating Role of Thriving at Work and the Moderating Role of Task Significance. Frontiers in Psychology, 11, 613676.

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Impact of COVID-19 Lockdown on Lifestyle

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Continuous variables are shown as the mean ± standard deviation or presented as the median and interquartile range (IQR), if not normally distributed. Categorical variables are presented as the number and percentage of participants affected. To compare the difference between the three phases, we used repeated measures anova or the Friedman rank test to analyze the CGM metrics, and McNemar's χ²‐test to examine lifestyle changes. Statistical significance was defined as a two‐tailed P < 0.05. Data analyses were carried out using SPSS 25.0 statistical analysis software (SPSS Inc., Chicago, IL, USA). The definition of the three phases around lockdown was as follow: (i) baseline/before lockdown (1 November–31 December 2019, at the routine before the pandemic of COVID‐19 in China); (ii) during lockdown (25 January–29 February 2020, enacting the first‐level public health emergency response in nearly all the provinces² ); and (iii) post‐lockdown (1 June–31 July 2020, all provinces had lifted the first‐level public health emergency response³⁰ , while most people had resumed their studies and work).

Wu X., Luo S., Zheng X., Ding Y., Wang S., Ling P., Yue T., Xu W., Yan J, & Weng J. (2021). Glycemic control in children and teenagers with type 1 diabetes around lockdown for COVID‐19: A continuous glucose monitoring‐based observational study. Journal of Diabetes Investigation, 12(9), 1708-1717.

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Statistical Analysis of Experimental Data

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The statistical analysis was conducted using the SPSS 25.0 statistical analysis software (SPSS, version 16.1, Chicago, IL, USA). The one-way analysis of variance (ANOVA) was employed for the multiple comparisons (P < 0.05) followed by the least significant difference test, and the data were expressed as the mean standard deviation (SD).

Wang X., Wu T., Yang Y., Zhou L., Wang S., Liu J., Zhao Y., Zhang M., Zhao Y., Qu H., Kong H, & Zhang Y. (2023). Ultrasmall and highly biocompatible carbon dots derived from natural plant with amelioration against acute kidney injury. Journal of Nanobiotechnology, 21, 63.

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