Figures were prepared using Origin 2016. The Spearman correlation analysis, significant differences under Duncan’s multiple range test, and linear regression analysis were performed by IBM SPSS 23.0 version. Heat map analysis was conducted using Heml. The explanation of physicochemical and biological indicators for carbon and nitrogen transformations was calculated based on the redundancy analysis (RDA) including 3 replicates, which was conducted by CANOCO 5.0.
Spss 23.0 version
Manufactured by IBM
Sourced in United States
SPSS 23.0 is a statistical software package developed by IBM. It provides a range of data analysis and statistical modeling capabilities, including descriptive statistics, bivariate analysis, regression analysis, and more. The software is designed to help users analyze and interpret data from various sources.
Automatically generated - may contain errors
Lab products found in correlation
35 protocols using spss 23.0 version
1
Comprehensive Soil Biogeochemical Analysis
2
Comparing Patient Characteristics and Adverse Events
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The characteristics of patients were evaluated with descriptive analysis. Descriptive analyses were presented using mean (±SD) or n (%), where appropriate. The categorical data of Group 1 and Group 2 were analyzed by Wilcoxon signed ranks test. Side effects, such as the presence of urinary system and genital infections, were evaluated with the use of McNemar test for Group 1 and Group 2. Between group comparisons were done using Mann-Whitney U test. The SPSS 23.0 version was used to perform the entire statistical analyses (IBM Corp., Armonk, NY, USA). A p-value under 0.05 was accepted as statistically significant.
3
Anxiety Factors and Family Function
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Descriptive and correlation analysis of collected data was analyzed by SPSS23.0 Version (IBM SPSS Statistics, New York, NY, United States). Path analysis in SEM used AMOS 24.0. Quantitative data were analyzed by ANOVA (analysis of variance). Correlation analysis was used to analyze the relationship between factors. The results of the STAI scale were also compared with the healthy norm (Spielberger, 1970 ) by Z-test. Measurement invariance was used to analyze group differences across gender. The mediating effect analysis was used to discover the relationship among family function, GAD, state and trait anxiety. Bootstrapping was used to analyze the mediating effect. Samples were randomly selected 10,000 times. P < 0.05 was considered statistically significant.
4
Sociodemographic and Clinical Analysis
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SPSS 23.0 Version, (IBM, USA) was used to enroll sociodemographic and clinical variables for both case (s) and control and to carry out descriptive and inferential statistics. One-way ANOVA was used to test significant differences between the six groups. Significant differences between each paired groups were then evaluated by post hoc Tukey's test.
5
Longitudinal Assessment of Intervention Outcomes
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The data were entered into spreadsheets and analyzed by using Statistical Package for Social Sciences (SPSS-23.0 version) (IBM; Chicago). Parameters are expressed as mean and standard deviation. Paired t-test was used to determine the difference between baseline and 3 months in both groups. Student's t-test was used to find intergroup differences for all variables. The results were analyzed with a p value less than 0.05 as significant.
6
Physical Fitness and Blood Pressure
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The SPSS 23.0 Version (IBM Co., Armonk, NY, USA) was used for data analysis. The chi-square test and one-way analysis of variance were performed to compare the frequency and average values based on the participants’ general characteristics and blood pressure according to physical fitness; if there was a significant difference, Scheffé’s post hoc test was performed. A logistic regression analysis was performed to determine whether the participants’ physical fitness affected their blood pressure. Furthermore, the results were analyzed by performing a multi-logistic regression analysis by applying the following sequential models to identify the day of the effect on blood pressure: Model 1 was conducted by additionally correcting for physical fitness level, Model 2 for obesity-related body composition, and Model 3 for age and sex. For all tests, the significance level was set at p < 0.05.
7
Demographic Analysis of Study Participants
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The information was coded, entered, and analyzed utilizing SPSS 23.0 version (IBM Corp., Armonk, NY, USA). An independent biostatistician analyzed the data. Descriptive statistics in terms of frequencies and percentages were used, to sum up, the demographic variables (age, gender, marital status, occupation, economic status, and apatite).
8
Comparative Biological Analysis Protocol
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All results are presented as the mean ± standard deviation. The significance of the experiments was confirmed by Student’s t-test using origin program (OriginPro 2018C(64-bit) SR1 b9.5.1.195(education), OriginLab, Northampton, MA, USA) and by nonparametric test (SPSS, 23.0 version, IBM, New York, USA) only for the data of body length with non-normal distribution. Significance was considered at p < 0.05, marked as * p < 0.05 and ** p < 0.01.
9
Predictors and Mediators of COVID-19 Anxiety
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First, descriptive statistics and Pearson correlations were analyzed among the variables included in the study by using IBM SPSS 23.0 version. Then, for testing the hypothesis, we used t-independent test to compare the population with regard to COVID-19 anxiety. Afterwards using hierarchical regression we analyzed symptoms of depression, anxiety and stress as predictors of COVID-19 anxiety. Finally, we used PROCESS Macro, SPSS version 3.0 (Hayes, 2018 ), model 4 to test the mediation relationship, and bootstrapping to identify the indirect effect in this model with confidence interval analysis (CI 95%).
10
Statistical Analysis of Research Outcomes
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The results are presented in frequencies and percentages. The Chisquare test was used to assess the associations. The p-value <0.05 was considered significant. All the statistical analysis carried out by using SPSS 23.0 version (IBM Inc, Chicago, USA).
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