Data were analyzed statistically using the SPSS package for Windows, version 21.0 (SPSS, Inc., Chicago, IL, USA). The Shapiro–Wilk test and Levene’s test were used to determine the normality and homogeneity of variances, respectively. As the data demonstrated equal variances and Gaussian distribution, no data transformation was needed. The following tests were performed: (1) ANOVA followed Tukey for the analysis of differences between groups regarding SH0, SH1, SH2, %SMHR, and ΔFRE; (2) ANOVA repeated measures, followed by Bonferroni, for the analysis of the variables SH0, SH1, SH2 into the same group at the different analysis times; (3) Pearson's correlation between variables. The level of significance considered was 5% [5 (link), 21 (link)].
Spss package for windows version 21
Manufactured by IBM
Sourced in United States
SPSS package for Windows, version 21.0 is a statistical software application developed by IBM. It provides a wide range of analytical tools and capabilities for data management, analysis, and reporting.
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Lab products found in correlation
3 protocols using spss package for windows version 21
1
Statistical Analysis of Dental Biomaterials
2
Statistical Analysis of Quantitative and Qualitative Data
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Data were analyzed using the SPSS package for Windows, version 21.0 (SPSS, Inc., Chicago, IL, USA). Descriptive statistics were used to evaluate the quantitative and qualitative variables. For quantitative variables, sample distribution was verified using the Shapiro–Wilk test, and data were expressed as mean (standard deviation) or median (Interquartile range) according to the Gaussian distribution. Absolute and percentage frequencies were calculated for categorical variables.
3
Statistical Analysis of Microbial Parameters
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Data was statistically analyzed using the SPSS package for Windows, version 21.0 (SPSS, Inc., Chicago, IL, USA). Gaussian distribution was tested using the Shapiro-Wilk test and Quantile-quantile-plot (QQ-plot) analysis. Levene’s test was used to prove the homogeneity of variance. SM and LB were the dependent variables and were adjusted by dividing them by FP levels.
The exploratory statistics consisted of medians and interquartile ranges. Data were transformed using normal logarithmic expression to adhere to the analysis of variance premises. The one-way analysis of variance followed by the Tukey test was used, considering a 0.05 significance level. In addition, a model assessing the significant risk indicators in different stages of MIH concerning bacterial parameters was performed (Poisson regression analysis).
The exploratory statistics consisted of medians and interquartile ranges. Data were transformed using normal logarithmic expression to adhere to the analysis of variance premises. The one-way analysis of variance followed by the Tukey test was used, considering a 0.05 significance level. In addition, a model assessing the significant risk indicators in different stages of MIH concerning bacterial parameters was performed (Poisson regression analysis).
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