The SPSS 23.0 statistical software was used to analyze the data. Firstly, the Levene variance equality test was used to determine whether the variance within the groups was equality according to the F-value. After that, an independent sample T-test was performed, and the p-value under the assumption of equal variance or unequal variance were all analyzed. The reasonable statistical results of p-value were selected according to the F-value of Levene variance equality test. The measurement data are expressed as the mean ± standard deviation. A value of p < 0.05 was considered statistically significant. Pearson correlation analysis between different indexes was carried out using SPSS 23.0 statistical software. Some indexes were regarded as a same variable data set and Canonical correlation was used to analyze the correlation between these data sets using SPSS 23.0 statistical software. GraphPad Prism 7.0 (San Diego, CA, USA) was used to perform the correlation analysis of the data. The correlation coefficient and linear regression were jointly used to analyze the correlation of the indicated data.
Spss 23.0 statistical software
Manufactured by IBM
Sourced in United States
SPSS 23.0 is a statistical software package developed by IBM. It is designed to analyze and visualize data, providing users with a range of statistical tools and techniques to support decision-making processes. The software offers a user-friendly interface and a comprehensive set of features for data management, analysis, and reporting.
Automatically generated - may contain errors
Lab products found in correlation
Originpro 9, by OriginLab (5 mentions)
Microsoft excel 2016, by OriginLab (3 mentions)
R software version 3, by R Project for Statistical Computing (2 mentions)
Prism 5, by GraphPad (1 mentions)
Prism 8, by GraphPad (1 mentions)
Prism 9, by GraphPad (1 mentions)
8.0 prism, by GraphPad (1 mentions)
Genespring gx v12, by Agilent Technologies (1 mentions)
Prism 7, by GraphPad (1 mentions)
Spss version 3.3, by IBM (1 mentions)
Logic p5, by GE Healthcare (1 mentions)
202 protocols using spss 23.0 statistical software
1
Statistical Analysis of Experimental Data
2
Intention-to-Treat Data Analysis in SPSS
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Analysis will be carried out on an intention-to-treat (ITT) basis and will be performed using SPSS 23.0 statistical software (IBM SPSS Statistics, New York, USA) with a 2-sided P value of less than 0.05 considered significant. The measurement of data that conforms to the normal distribution will be expressed as mean ± SD, the measurement data that does not conform to a normal distribution will be expressed by the median (interquartile range), and counting data will be represented by cases (percentages). The continuous variables will be evaluated by using a t test or the Mann-Whitney U test for comparison. The chi-square test or Fisher’s exact test will be employed to compare binary variables. Missing data will be imputed using the last observation carried forward.
3
Psychological Impact of Rainstorm on Residents
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Frequencies and percentages (%) were used to describe categorical data. Chi-square test was used to examine the differences in demographic variables. Variables were created to evaluate various psychological health states (PTSD, depression, anxiety and stress) of local residents after rainstorm. Univariate logistic regression analysis was conducted to determine the relationship between potentially associated variables and the psychological health states of local residents after rainstorm. Multivariate logistic regression analyses were then carried out using all significant variables obtained from the above univariate analysis as candidate variables. The 95% confidence interval (95% CI) was presented for each odds ratio (OR). All analyses were two-tailed with significant level of p < 0.05. All statistical analyses were performed using SPSS 23.0 statistical software (IBM SPSS Statistics, New York, USA).
4
Statistical Analysis of Qualitative and Quantitative Data
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SPSS 23.0 statistical software (IBM SPSS, Inc., Chicago, IL, USA) was used to statistically analyze the data. Qualitative data were expressed as n (%), and quantitative data were expressed as (−x ± s). Qualitative data, quantitative data, and repeated measurement data were analyzed by χ2, t-test, and analysis of variance (ANOVA), respectively. P < 0.05 means the difference is statistically significant.
5
Statistical Analysis of Research Data
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SPSS 23.0 statistical software (IBM SPSS statistics, New York, United States) was used for descriptive analysis, correlation analysis, one-way analysis of variance (ANOVA), multiple linear regression analysis and t-test etc. Kolmogorov-Smirnov was used to test the normality of the sample data (p> 0.05 means normal distribution). All measurement data were expressed as mean ± standard deviation ( ± s), and count data were expressed as percentage (%). The significant level was p < 0.05, and the extremely significant level was p < 0.01.
6
Survival Analysis of Cohort Data
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The categorical data were described by numbers (percentage). Normally and non-normally distributed continuous data were presented as mean ± standard deviation and median (range), respectively. Calculations were performed using the SPSS 23.0 statistical software (IBM SPSS Inc., Chicago, IL, USA). The two-tailed Student’s t-test and Fisher’s exact test were used for comparisons of continuous and categorical variables, respectively. P values <0.05 (two-sided) were considered significant. Kaplan-Meier curves were constructed to evaluate patients’ survival rate at mid-term follow-up.
7
Statistical Analysis of Experimental Data
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All the statistical analyses except bioinformatics analysis were performed with SPSS 23.0 statistical software package (IBM SPSS, Armonk, NY, USA) and Graphpad prism 5 (GraphPad Software, Inc., La Jolla, CA, USA). Results were presented as mean ± SD and P<0.05 was considered to indicate a statistically significant difference.
8
Efficient In Vitro Regeneration of Fraxinus mandshurica
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The explant material was chosen from the hypocotyls, roots and cotyledons of the sterile seedlings of F. mandshurica and the stem sections of the sterile tissue culture seedlings of the bristles cultured in this laboratory. Fully-fledged seed of F. mandshurica was selected and treated with winged sand at 4 • C for 3 months. The treated seeds were deprived of the outer seed coat and rinsed with running water. They were immersed in 70% alcohol for 30-45 s, and 10% NaClO for 15-20 min. They were rinsed four times on a sterile table with sterile water, the embryo was peeled off, and 20 g/L sucrose and 5.3 g/L agar were added. They were placed in hormone-containing WPM induction medium, and the infection rate and initiation rate of different disinfection combinations were recorded. Ten tissue materials were treated each time, and the experiments were repeated three times. Data were analyzed using SPSS 23.0 statistical software (IBM-SPSS 2015). The mean with standard error (±SE) is presented. The percent of callus formation, shoot bud induction, and number of shoots were subjected to analysis of variance (ANOVA). Significant difference between treatments was tested by Duncan s multiple comparison test (p = 0.05).
9
Factors Associated with Body Image
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Absolute and relative frequencies were used for description of categorical variables. The w 2 test for linear trends was used in order to compare variables between boys and girls. Multinomial logistic regression analysis was used to estimate odds ratio (OR) and a confidence interval (CI) of 95% CI in order to identify factors associated with body image in boys and girls separately. The dependent variable was body image perception (0 ¼ satisfied; 1 ¼ dissatisfied, desire to reduce silhouette; and 2 ¼ dissatisfied, desire to increase silhouette). The inclusion of independent variables in the regression model was performed using a hierarchical approach (Victora, Huttly, Fuchs, & Olinto, 1997) , considering three levels: sociodemographic, behavioral, and individual variables. We initially used the adjustment of the first-level variables. Analyses of subsequent levels controlled for the variables from the same level and those from the previous level. The final significance level was 5% (p value < .05 for two-tailed tests). All analyses were conducted using the SPSS 23.0 statistical software (SPSS IBM Inc., Chicago, IL).
10
Investigating lncRNA SRA and PPARγ
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All data are presented as the mean ± standard error of mean of three independent experiments. SPSS 23.0 statistical software (IBM SPSS, Armonk, NY, USA) was utilized to perform all statistical analysis. Student's t-test (two-tailed) was utilized to analyze differences between two groups, and the Wilcoxon signed rank test was utilized to compare relative expression levels of lncRNA SRA ATGL and PPARγ among groups. P<0.05 was considered to indicate a statistically significant difference.
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