Kolmogorov–Smirnov test was used for the normal distribution analysis of the variables. Continuous variables were expressed as mean ± standard deviation and non-normally distributed variables were presented as median with interquartile range only due to the presence of abnormal distribution for all. Categorical variables were expressed as numbers (n) and percentages (%). Comparisons of continuous variables between groups were made using the t-test as a parametric test and the Mann–Whitney U-test as a non-parametric test. Chi-square test was used for the evaluation of categorical data. A two-tailed p < 0.05 was considered significant throughout the study. Univariate logistic regression analysis was used to determine significant independent clinical predictors of major bleeding. All variables with p < 0.05 in univariate analysis were included in a logistic regression model for multivariate analysis to determine independent predictors of major bleeding. The Kaplan–Meier method was used for survival analysis. A two-tailed p<0.05 was considered statistically significant. Statistical evaluation was applied through the SPSS statistical program (version 25.0).
Spss statistical program version
Manufactured by IBM
Sourced in United States
SPSS is a statistical software program developed by IBM. It is used for data analysis, data management, and data visualization. The program provides a wide range of statistical techniques, including descriptive statistics, bivariate statistics, prediction for numerical outcomes, and prediction for identifying groups.
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Lab products found in correlation
12 protocols using spss statistical program version
1
Predictors of Major Bleeding in Patients
2
Bioaccumulation of Metals in Brassica Crops
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The results were presented as arithmetic means with standard deviations. The BCF was calculated using Eq. (1 ).
Duncan’s multiple-range test after analysis of variance (ANOVA) was used to determine significant differences (p < 0.05) among the treatments in B. rapa ssp. pekinensis and B. campestris. A Student t-test was performed to evaluate the difference (p < 0.05) among the treatments in S. oleracea. Statistical analysis was done through the SPSS statistical program version 22.0.
Duncan’s multiple-range test after analysis of variance (ANOVA) was used to determine significant differences (p < 0.05) among the treatments in B. rapa ssp. pekinensis and B. campestris. A Student t-test was performed to evaluate the difference (p < 0.05) among the treatments in S. oleracea. Statistical analysis was done through the SPSS statistical program version 22.0.
3
Yerba Mate's Impact on Enzyme Levels
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Data were analyzed with the SPSS statistical program, version 18.0. Variables are presented as absolute and relative frequencies, mean ± standard deviation or median and interquartile range (25 and 75 percentile). The statistical tests of analysis of variance (ANOVA), Kruskal-Wallis and Pearson’s Chi-square were used to assess the difference of the groups at baseline characteristics. Intra-group differences were assessed with the method of generalized estimating equations with multiple comparisons adjusted by Bonferroni method. Between group variations (deltas; Δ) in the main outcomes (PON and leptin) were estimated by analysis of covariance (ANCOVA), to adjust basal values. The relationship of the variables under study with the serum level of the enzymes, according to the group, was investigated with the Pearson correlation coefficient test. Multiple linear regressions were then used to evaluate the relationship of the enzyme levels with lipid and inflammatory markers in the yerba mate group (which showed significant differences in the analyses described above). Values of p < 0.05 were considered statistically significant.
4
Guilt and School Victimization in Adolescents
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First, a two-stage cluster analysis was performed for guilt, obtaining three groups (Fernandez-Rio et al., 2014 (link); Chen et al., 2020 (link)): low guilt (n = 454), medium guilt (n = 176), and high guilt (n = 41). Next, a multivariate factorial design (MANOVA, 3 × 2) was conducted with the SPSS statistical program (version 20) considering guilt (low, medium, and high) and gender (boy versus girl) as fixed factors to analyze possible interaction effects. The three dimensions of school victimization-physical, verbal, and relational-and feelings of loneliness were considered as dependent variables. Univariate tests (ANOVAS) were calculated to study differences in statistically significant variables and the Bonferroni post-hoc test (α = 0.05) was performed.
5
Statistical Analysis of Experimental Data
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Statistical analyses were performed using SPSS statistical program (version 15). The represented data are mean±standard deviation (SD) of at least three independent experiments. Significant differences between groups were compared by one-way ANOVA followed by Tukey’s post hoc test. P<0.05 was considered to be statistically significant.
6
Contextual Fear Conditioning Analysis
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The data of contextual fear conditioning training analyzed by repeated measures two-way ANOVA. Other group differences were analyzed using two-tailed t test, one-way ANOVA or two-way ANOVA, which was followed by LSD post hoc analysis to compare means from several groups simultaneously. Significance was set at p < 0.05. Results are expressed as mean ± SEM. Data analyses were performed using SPSS statistical program, version 13.0.
7
Immune Regulation in Childhood
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Differences in the mRNA gene expression levels, relative amount of Treg cells and percentage of suppression capacity between the case and control children were analysed with the nonparametric Mann–Whitney U‐test using the SPSS statistical program (version 22.0). A two‐tailed P value <0.05 was considered statistically significant.
8
Analysis of Experimental Conditions
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Data are presented as median and interquartile range/range or mean and standard deviation where percentages are presented. Friedman's test was employed to detect overall differences between experimental conditions or time points, followed by post hoc pairwise comparison testing if appropriate. Individual pairwise comparisons were tested using a Wilcoxon Signed-Rank Test. Area under the curve calculations were made using the trapezoid method. Statistical significance was set at p ≤ 0.05. Two tailed p values were used unless otherwise specified. One-tailed p values were employed where previous experimental work provided a clear expectation of effects. Data was analysed using the SPSS statistical program (version 22.0, Chicago, USA).
9
Gait and Strength Assessment in Parkinson's
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Statistical analysis was performed with the SPSS statistical program (version 27.0). The Shapiro-Wilk test was used to examine the normality of the distribution of the sample data. Data on demographic variables were expressed as median and interquartile range, and as proportions, when appropriate. A nonparametric test (U-Mann Whitney) was performed to compare gait characteristics and isokinetic strength parameters of subjects with PD and healthy controls. As persons with PD with bilateral involvement were included, gait parameters and isokinetic strength were compared between the more affected leg of persons with PD, with the dominant leg of healthy controls, and the more affected leg of persons with PD, with the less dominant leg of healthy controls. A Spearman correlation analysis with 95% confidence intervals was performed to assess the correlation between variables related to gait parameters at preferred and maximum possible speed (speed, cadence, stride length, stride velocity) and isokinetic strength variables. Correlation coefficients of 0.00-0.30 were interpreted as poor, those of 0.30 to 0.70 as moderate, and those of 0.70 or more as excellent [17] . The significance level was set at 0.05.
10
Impact of Pandemic on ASD Children
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The statistical analysis was conducted using SPSS statistical program version 26.0 (IBM Corp. Released 2019. Armonk, NY, USA). Two-way factorial ANCOVA was used to determine significance of interaction effect and main effects of pandemic period and the child’s diagnosis. T-test of two independent samples was used to determine specific differences between ASD and control group. Chi-square provided results of parental stressors and therapy availability during lockdown.
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