Analysis of variance (ANOVA) was used to compare the effects of AMF among treatments on the mycorrhizal colonization, the growth and photosynthetic physiological progress of maize using the IBM SPSS 23.0 software program (SPSS Inc., Chicago, IL, United States). The least significant difference (LSD) test at the 0.05 probability level (p) was used to compare the means of the measured traits. Correlations between spectral and leaf chlorophyll content and two tailed test (significant level α was 0.05) were determined by the IBM SPSS 23.0 (SPSS Inc, Chicago, IL, United States). The figures were plotted using Origin 8.0 (OriginLab Corporation, Northampton, MA, United States).
Spss 23
Manufactured by IBM
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SPSS 23.0 is a software application for statistical analysis. It provides a comprehensive set of tools for data management, analysis, and reporting. The core function of SPSS 23.0 is to enable users to perform a wide range of statistical procedures, including descriptive statistics, regression analysis, and hypothesis testing.
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Lab products found in correlation
Prism 8, by GraphPad (133 mentions)
Prism 7, by GraphPad (87 mentions)
Prism 6, by GraphPad (53 mentions)
Prism 5, by GraphPad (35 mentions)
Prism 9, by GraphPad (28 mentions)
Sas 9, by SAS Institute (21 mentions)
Spss statistics for window, by IBM (16 mentions)
Spss statistics for windows version 23, by IBM (15 mentions)
R version 3, by R Project for Statistical Computing (12 mentions)
Spss statistic, by IBM (11 mentions)
Amos 23, by IBM (10 mentions)
Spss statistics 23, by IBM (10 mentions)
Excel 2016, by IBM (9 mentions)
Origin 2021, by OriginLab (8 mentions)
Epidata 3, by IBM (6 mentions)
Sas version 9, by SAS Institute (6 mentions)
Stata 15, by StataCorp (5 mentions)
Origin 2018, by OriginLab (5 mentions)
Origin 9, by OriginLab (5 mentions)
Excel 2010, by IBM (5 mentions)
3 579 protocols using spss 23
1
Maize Physiological Response to AMF
2
Multivariate Analysis of Clinical Factors
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First Shapiro-Wilk-Test was performed to test parameters for normal distribution. Group comparisons were done with one-way-ANOVA for normal distributed clinical parameters, or Kruskal-Wallis-Test for non-normal distributed parameters, or χ2-Test for dichotomous variables. Correlation analyses between different variables were done using the Spearman rho-test.
Multivariate regression analyses were performed to calculate adjusted models for age, gender and BMI. Following covariates were also included in forward-backward-elimination with WALD correction: Known hypertension or known cardiovascular diseases, smoking status, Total cholesterol and triglycerides, HbA1c and markers for DNA-damage, senescence and SASP.
Statistical p-values <0.05 were defined as significant.
All analyses were performed using IBM SPSS 23.0 (International Business Machines Corp. Armonk, NY, USA). Figures, Graphs, and blots were visualized with IBM SPSS 23.0 and GraphPad Prism 7.0 (GraphPad Software Inc., La Jolla, CA, USA).
Multivariate regression analyses were performed to calculate adjusted models for age, gender and BMI. Following covariates were also included in forward-backward-elimination with WALD correction: Known hypertension or known cardiovascular diseases, smoking status, Total cholesterol and triglycerides, HbA1c and markers for DNA-damage, senescence and SASP.
Statistical p-values <0.05 were defined as significant.
All analyses were performed using IBM SPSS 23.0 (International Business Machines Corp. Armonk, NY, USA). Figures, Graphs, and blots were visualized with IBM SPSS 23.0 and GraphPad Prism 7.0 (GraphPad Software Inc., La Jolla, CA, USA).
3
Prognostic Significance of PLK2 in GBM
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All statistical analyses were performed using GraphPad Prism 7.0 (GraphPad Software, Inc.), SPSS 23.0 (IBM SPSS Statistics) and R language. The association between PLK2 expression and the clinicopathological parameters of 152 patients with primary GBM was evaluated by chi test using SPSS 23.0 (IBM SPSS Statistics, Chicago, IL, USA). Univariate and multivariate Cox regression models were used to assess the prognostic significance of PLK2 expression in GBM. Regression analyses was used to analyze the correlation between PLK2 expression and its DNA methylation. The comparisons between two groups were analyzed using the student’s t-test. For pairwise multiple comparisons, one-way ANOVA, followed by Dunnett’s multiple comparison test was performed. P-value < 0.05 was considered to be statistically significant.
4
Exploring Nursing Professional Commitment Drivers
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The self-efficacy, MiL, and nursing professional commitment scores showed normal distributions, as assessed by a Kolmogorov–Smirnov test using SPSS 23.0 (IBM Corp., Armonk, NY).
For all study variables, the descriptive statistics (frequency, percentage, mean and standard deviation [SD]) were calculated, and the independent-samples t test, one-way analysis of variance and the Pearson correlation test were performed using SPSS 23.0 (IBM Corp.).
The proposed structural model of self-efficacy, MiL, and nursing professional commitment outlined in Fig.1 was estimated using the analysis of moment structures, with maximum likelihood used to confirm the relationships and predictions (AMOS 23.0, IBM Corp.). The measurement errors of the proposed structural model were also considered. The goodness of fit of the structural equation modeling (SEM) was judged by absolute fit indices (root mean square error of approximation < 0.05, the goodness-of-fit index > 0.09, and adjusted goodness-of-fit index > 0.09), value-added fitness indices (norm fit index > 0.90, relative fit index > 0.90), and simple fit indices (Parsimony goodness-of-fit index > 0.50, Parsimony-adjusted norm fit index > 0.50, Parsimony comparative fit index > 0.50, and likelihood ratio [X2/df] < 2.00). It is necessary to modify a model to improve fit when the modification indices are larger than 4.[43 ]
For all study variables, the descriptive statistics (frequency, percentage, mean and standard deviation [SD]) were calculated, and the independent-samples t test, one-way analysis of variance and the Pearson correlation test were performed using SPSS 23.0 (IBM Corp.).
The proposed structural model of self-efficacy, MiL, and nursing professional commitment outlined in Fig.
5
Multivariate Survival Analysis of CRS in Oncology
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Characteristics of all study participants were analyzed prior to stratification. Categorical variables were reported as absolute numbers (n) and percentages of the whole (%), while nonparametric continuous variables were reported as medians with interquartile ranges (IQR).
The Kaplan-Meier protocol was used in univariate analysis to create survival curves. OS or RFS were used as the endpoints (time and event variables), with study participants stratified by CRS or within CRS risk groups (factor variables). As a sensitivity analysis, curves were then repeated excluding events and censorships occurring in the postoperative period of 90 days, 16, 17 since mortality within this immediate post-operative period is more likely a reflection of surgical procedure rather than disease progression. Statistical significances for all survival curves were analyzed with a Log Rank test.
The impact of relevant factors on the CRS relationship with OS and RFS were then assessed within the multivariate Cox regression analysis. Results were reported as hazard ratios (HR) with 95% confidence intervals (95% CI).
All analyses were performed in SPSS 23.0 (IBM Corp.A-monNY), All analyses were performed in SPSS 23.0 (IBM Corp., Amon, NY).
The Kaplan-Meier protocol was used in univariate analysis to create survival curves. OS or RFS were used as the endpoints (time and event variables), with study participants stratified by CRS or within CRS risk groups (factor variables). As a sensitivity analysis, curves were then repeated excluding events and censorships occurring in the postoperative period of 90 days, 16, 17 since mortality within this immediate post-operative period is more likely a reflection of surgical procedure rather than disease progression. Statistical significances for all survival curves were analyzed with a Log Rank test.
The impact of relevant factors on the CRS relationship with OS and RFS were then assessed within the multivariate Cox regression analysis. Results were reported as hazard ratios (HR) with 95% confidence intervals (95% CI).
All analyses were performed in SPSS 23.0 (IBM Corp.A-monNY), All analyses were performed in SPSS 23.0 (IBM Corp., Amon, NY).
6
Examining Personality's Influence on Exercise Behavior
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After the questionnaire data were collected, Amos 24.0 was used for confirmatory factor analysis to test the validity of variables, and IBM SPSS23.0 for Pearson correlation analysis and common method bias test. According to the study of Ye and Wen (2013) (link). Using process macro in IBM SPSS23.0 to examine our model. Firstly, we used process Model 1 to test the moderating effect of personality on exercise intention and exercise behavior. Secondly, used process Model 1 to test the moderating effect of personality on exercise intention and exercise-induced feeling. Finally, used process Model 8 to test the relationship between the moderating effect of personality on exercise intention and exercise behavior with exercise-induced feeling. During the model test, grade and gender were included in the model as covariates. The continuous variables of normal distribution were expressed as mean (M) ± standard deviation (SD) and the incomplete questionnaire has been deleted when enter data, so there is no missing date in this study. Goodness of fit index χ2/df less than 5, RMSEA less than 0.08, NNFI and CFI greater than 0.8, and SRMR less than 0.05 are acceptable. In this study, significance level was set as p < 0.05 and effect sizes of the correlation coefficient r (Wangzhou et al., 2021 (link)) to estimate the magnitude of significant differences during statistical analysis.
7
Metacognition, Exercise Attitude, and Health Behaviors
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IBM SPSS23.0 statistical software and Hayes' (2013) Process plug-in were used for the statistical analysis of the data. A confirmatory factor analysis of all questionnaires was performed using Amos 21.0. First, IBM SPSS23.0 was used to test for common method bias and multicollinearity. Pearson correlation analysis was used to calculate the relationships among metacognition, attitude toward physical exercise, negative emotion, and health-related behaviors. Normally distributed continuous variables were expressed as M ± SD. Finally, to test the mediating effect of attitude toward physical exercise between metacognition and health-related behavior and the regulating effect of emotion, Model 7 in the SPSS macroprogram compiled by Hayes was applied to the collected data. The age and gender of the participants did not differ significantly and were therefore not considered as control variables [44 (link)]. The significance level was set at P < 0.01.
8
Differential miRNA Expression in Intestinal Malrotation
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Statistical analysis was carried out using GraphPad Prism 8.0 (GraphPad Software, Inc.) and SPSS 23.0 (IBM Corp.). A two-sided unpaired t-test was used to compare differences in miRNA expression between the control and intestinal malrotation groups. Receiver operating curve (ROC) analysis was performed to determine the area under the curve (AUC) of miRNA expression. SPSS 23.0 (IBM Corp.) was used to construct and analyze the curves. The final results were illustrated using GraphPad Prism 8.0 (GraphPad Software, Inc.). P<0.05 was considered to indicate a statistically significant difference.
9
Altered Brain Activity in Chronic Pain
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The IBM SPSS 23.0 (SPSS Inc., Chicago, IL, USA) statistical software was used for statistical analysis of the clinical data of the subjects in both groups. Sex distribution was compared by chi-square test, and age by the two-sample t-test, between the groups. Statistical significance was set at P < 0.05.
Using the statistical module in the DPABI toolkit, a two-sample t-test was applied to the ALFF values in the typical band, slow-4 band, and slow-5 band for the AP and HC groups, respectively, with age and sex as covariates. The statistics were then corrected for Gaussian random fields, and P < 0.001 at the voxel-level and P < 0.05 at the cluster-level were considered statistically significant. The viewer module in the DPABI toolkit was used to display the brain areas that differed between the two groups.
After extracting the ALFF values of the above-mentioned brain regions showing significant differences between the groups, using the DPABI toolkit, the correlation between the ALFF values of these brain regions and patients’ pain VAS scores was analyzed using IBM SPSS 23.0 (SPSS Inc.) statistical software. Pearson’s correlation coefficient was calculated and P < 0.05 was considered statistically significant.
Using the statistical module in the DPABI toolkit, a two-sample t-test was applied to the ALFF values in the typical band, slow-4 band, and slow-5 band for the AP and HC groups, respectively, with age and sex as covariates. The statistics were then corrected for Gaussian random fields, and P < 0.001 at the voxel-level and P < 0.05 at the cluster-level were considered statistically significant. The viewer module in the DPABI toolkit was used to display the brain areas that differed between the two groups.
After extracting the ALFF values of the above-mentioned brain regions showing significant differences between the groups, using the DPABI toolkit, the correlation between the ALFF values of these brain regions and patients’ pain VAS scores was analyzed using IBM SPSS 23.0 (SPSS Inc.) statistical software. Pearson’s correlation coefficient was calculated and P < 0.05 was considered statistically significant.
10
Comprehensive Statistical Analysis of Experimental Data
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The data are expressed as mean ± standard deviation of the mean. Statistical significance between three or more experimental groups was evaluated by one-way ANOVA followed by Dunnett’s test for multiple comparisons by SPSS23.0 (IBM, Chicago, IL, USA). Statistical significance between two experimental groups was evaluated by T-test for comparisons by SPSS23.0 (IBM, Chicago, IL, USA). The graphics were drawn using GraphPad Prism 5 (GraphPad, San Diego, CA, USA). P-value < 0.05 was considered statistically significant, and P-value < 0.01 was considered extremely significant.
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