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Spss software v 19 for windows

Manufactured by IBM
Sourced in United States

SPSS Software V.19 for Windows is a statistical analysis software. It provides tools for data management, analysis, and presentation. The software is designed to work on the Windows operating system.

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2 protocols using spss software v 19 for windows

1

Adhesion Reliability Evaluation Protocol

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Considering the mean values obtained with a difference of approximately 2 MPa between each group and the highest standard deviation of 3.6 in adhesion data, a sample size of 10 in each group was calculated (IBM SPSS Software V.19 for Windows and G*Power, Chicago, IL, USA) to have more than 80% power to detect a difference in means of tensile bond strength using a two-group Satterthwaite t-test (IBM SPSS Software V.19 for Windows, Chicago, IL, USA) (alpha = 0.05). The obtained data were analyzed statistically (SPSS Software V.20, Chicago, IL, USA). Normal distribution was tested using Kolmogorov–Smirnov and Shapiro–Wilk tests. Normality was not violated and therefore univariate analysis of variance (1-way ANOVA), Tukey’s and Tamhane post-hoc tests for the adhesion surfaces, effects of adhesion methods on deformations and stress values were performed. Furthermore, 2-parameter Weibull distribution was used for calculating Weibull modulus, scale (m) and shape (0) in order to assess the reliability of adhesion (Minitab Software V.16, State College, PA, USA). In all tests, p < 0.05 was considered to be statistically significant.
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2

Evaluating Cell Viability on Dental Materials

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Statistical analysis was performed using as statistical software (IBM SPSS Software V.19 for Windows, Chicago, IL, USA). The Kolmogorov-Smirnov test was used to test normal distribution of the data. The effects of the material (2 levels: lithium disilicate versus resin nano-ceramic), polymerization protocol (4 levels: D, E, L, C) and the timepoints (4 levels: 0-, 1-, 2-and 7 days) of the experiment on living cell ratios were statistically analyzed by using 3-way analysis of variance (ANOVA). As the binary and triple interactions were significant, comparisons based on material, polymerization protocol and timepoints were further analysed using 1-way ANOVA. Multiple comparisons were performed using Bonferroni post-hoc test (p<0.05).
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