The collected data were analyzed with IBM SPSS statistics software 23.0 version (Armonk, NY: IBM Corp). To describe about the data, descriptive statistics frequency analysis, percentage analysis were used for categorical variables and the mean and standard deviation were used for continuous variables.. A significant difference between the bivariate samples in paired groups (expectation and satisfaction) was evaluated with the Wilcoxon signed-rank tests, and for independent groups (previous denture wearers and nonwearers), the Mann–Whitney U-test was used. To assess the influence of duration of denture with mean satisfaction score, the linear regression model was used with the scatter plot. To find the significance in categorical data, the Chi-square test was used. Similarly, if the expected cell frequency is <5 in 2 × 2 tables, then the Fisher's exact test was used. In all the above statistical tools, the probability value of 0.05 is considered as statistically significant level.
Spss statistics software 23.0 version
Manufactured by IBM
Sourced in United States
SPSS Statistics software 23.0 Version is a comprehensive data analysis and statistical software package developed by IBM. It provides a wide range of data management, analysis, and reporting capabilities for professionals and researchers across various industries. The software is designed to handle complex data and perform advanced statistical analyses, catering to the diverse needs of users.
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Lab products found in correlation
9 protocols using spss statistics software 23.0 version
1
Denture Satisfaction and Expectations Analysis
2
Monocyte Subsets and HbA1c Correlation
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The collected data were analyzed with IBM. SPSS statistics software 23.0 Version (IBM, Armonk, NY, USA). To describe about the data descriptive statistics mean and SD were used. The Shapiro Wilk's test for normality shows the data was normally distributed, hence to find the significant difference in the multivariate analysis the one-way ANOVA with Tukey's post-hoc test was used. The Pearson's correlation test was used to assess the relationship between HbA1c values and percentage of nonclassical monocytes. Data were analyzed using statistical software package (SPSS for Windows v. 23, IBM, Armonk, NY, USA). In both the above statistical tools, the P < 0.05 is considered as statistically significant level.
3
Statistical Analysis of Multivariate Data
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The collected data were analyzed using IBM. SPSS statistics software 23.0 Version (IBM SPSS Predictive Analytics Community, Armonk, New York). Descriptive statistics mean and standard deviation (SD) were computed for continuous variables. To find the significant difference in the multivariate analysis, the Kruskal–Walli’s test followed by the Mann–Whitney U-test was used, and for repeated measures, the Friedman test followed by the Wilcoxon signed-rank test was used. In all the above statistical tools, the P = 0.05 is considered as significant level.
4
Monomer Release Dynamics Analysis
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The collected data were analyzed with IBM SPSS statistics software 23.0 Version (IBM SPSS predictive analytics community, Armonk, NY, USA). One-way ANOVA with Tukey’s post-hoc test was used for the intergroup analysis for each time interval 24 h and 7th day. Intragroup paired comparison was also carried out with paired t-test to assess the monomer release.
5
Comparative Analysis of Bivariate Samples
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The collected data were analyzed with IBM SPSS statistics software 23.0 Version. To describe about the data descriptive statistics, mean, median, IQR, and S.D. were used.
To find the significant difference between the bivariate samples in independent groups (group A and group B), the Mann–Whitney U test was used, and for the repeated measures (Pre, 1st, 4th, and 6th week), the Friedman test followed by the Wilcoxon signed rank test was used. In all the above statistical tools, the probability value 0.05 is considered as the significant level.
To find the significant difference between the bivariate samples in independent groups (group A and group B), the Mann–Whitney U test was used, and for the repeated measures (Pre, 1st, 4th, and 6th week), the Friedman test followed by the Wilcoxon signed rank test was used. In all the above statistical tools, the probability value 0.05 is considered as the significant level.
6
Statistical Analysis of Bivariate Data
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The collected data were analyzed with IBM SPSS statistics software 23.0 Version (Statistical package for social science Inc., Chicago, Illinois, USA). To describe the data descriptive statistics frequency analysis, percentage analysis was used for categorical variables, and the mean and standard deviation (SD) were used for continuous variables. To find the significant difference between the bivariate samples in Independent groups the Unpaired sample t-test was used. To find the significance in categorical data Chi-Square test was used. In all the above statistical tools the probability value 0.05 was considered as a significant level.
7
Multivariate Analysis of Antimicrobial Efficacy
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Data were analysed with IBM.SPSS statistics software 23.0 version. All data are presented as mean ± standard of the mean (SEM). Multivariate analysis was performed using the Kruskal Walli’s test and for bivariate analysis, the Mann–Whitney U test was used. P < 0.05 and 0.01 was considered statistically significant. One-way analysis of variance (ANOVA) followed by Dunnett’s post hoc test was used to compare the population decrease in the time kill assay.
8
Dietary Impact on Early Childhood Caries
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Data was tabulated and analyzed using IBM.SPSS statistics software 23.0 Version. The software (SPSS) stands for Statistical Package for the Social Sciences and the version (2015) was named as IBM SPSS statistics, which provides a wide variety of analytical abilities such as descriptive statistics, univariate and multivariate statistical tools with graphical representation. Descriptive statistics for categorical variables, i.e. age and gender, was expressed by frequency and percentage analysis, whereas for continuous variable, i.e. quantity of diet, mean and standard deviation (S.D.) were used. Kruskal–Wallis test was used for multivariate analysis, while univariate logistic regression analysis was carried out to assess the effect of total HEI score on ECC and S-ECC model. In all the above statistical tools, a probability value of 0.05 was considered to be statistically significant.
9
Statistical Analysis of Bivariate and Multivariate Data
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The collected data were analyzed with IBM.SPSS statistics software 23.0 Version. Unpaired sample t-test was used to find significance between the bivariate samples in independent groups. For the multivariate analysis in repeated measures, the repeated measure of ANOVA was used with Bonferroni correction to control the type I error on multiple comparisons. Significance in the categorical data was assessed using a chi-square test. Similarly, if the expected cell frequency is less than 5 in 2×2 tables, fisher's exact was used.
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