Spss v 21 for windows

Data shown in figures were entered into Microsoft ® Excel for Mac Version 16.44 (Microsoft Corporation, Albuquerque, NM, USA), where mean and Standard Error of the Mean (SEM) are shown for most graphic depictions. For gibberellic acid germination experiments, mean germination rate per pod (with ten pods per group) is displayed with SEM, and a two-tailed T-test was used with significance set at P ≤ 0.05. For the antimicrobial disc diffusion assay, mean zones of inhibition in millimeters for five biological replicates are presented with associated SEM. For T84 and RKO human colon cancer toxicity experiments, mean percentage of viable cells normalized to the control (solvent alone) for three biological replicates is shown with associated SEM. Real-time PCR results are displayed as mean transcript level of three biological replicates shown with associated SEM and normalized to Actin mRNA levels. Statistical significance among transcript means was determined through a one-way analysis of variance (ANOVA) with SPSS for Windows, v.21 (IBM Corp., Armonk, NY, USA), where differences were considered statistically significant with a value of P ≤ 0.05.

The analysis of the results was performed on Statistical Package for Social Science (SPSS) for windows v.21 (IBM Corp. Armonk, NY). Differences between groups in terms of gender were tested using chi-square test and a multivariate analysis of variance (MANOVA) was used to calculate the effect of group on BFI domains, further one-way ANOVAs indicated the sources of significant group main effects. One-way ANOVA was conducted to examine group main effects on SPQ-B overall and sub-scale scores; Student’s t-tests followed by Bonferroni post hoc corrections were used for group comparisons. In additional analyses, anxiety rates and depression were added as covariate factors to the initial models in order to explore the possibility of confounding variables. Finally, hierarchal regression models were computed separately for each group in order to explore relationships between SPQ-B and BFI factors, depression and anxiety.

Statistical analysis was performed using SPSS for Windows V.21.0 (IBM Corporation, Armonk, NY). Kolmogorov–Smirnov test was used to determine if continuous variables were normally distributed. Descriptive statistics were reported according to data distribution as mean ± standard deviation (SD), or median and range for continuous variables; the nominal variables were reported as absolute number and percentage (%). Normally distributed variables were compared between the three groups using the ANOVA test and post-hoc analysis as appropriate. Kruskal–Wallis test by ranks was used to compare nonparametric continuous and ordinal variables with post-hoc analysis if required. Qualitative data were compared using the Chi-square test or Fisher’s exact test when the expected frequency was less than five. Statistical significance was set at p < 0.05, after adaptation in case of multiple comparisons with the Bonferroni method. To evaluate whether the βhCG and the EP mass diameter were possible confounders regarding the fertility outcomes, we repeated the analysis between the three groups strafing the study population based on the βhCG cut-off value of 1745 mIU/mL, previously reported associated to tubal patency [20 (link)], and based on the EP mass diameter of 25 mm.

Using IBM SPSS for Windows v. 21.0 (IBM, New York, NY, USA), Cronbach’s alpha reliability analysis, t-test, one-way analysis of variance (ANOVA), Pearson’s correlation coefficients, and multiple regression analysis were conducted.