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Spss program for windows version 21

Manufactured by IBM
Sourced in United States

SPSS program for Windows version 21.0 is a statistical software package designed for data analysis. It provides a comprehensive set of tools for data management, analysis, and reporting. The program is primarily used for statistical modeling, surveys, market research, and data mining. SPSS version 21.0 is compatible with the Windows operating system.

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5 protocols using spss program for windows version 21

1

Statistical Analysis of Experimental Data

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The IBM SPSS program for Windows, version 21.0, was used to tabulate, and statistically analyze the data. Data analysis was carried out as follows: data cleaning, frequency table for all the study variables. Frequency and proportions were used to express qualitative data, defining and recording of certain variables and cross tabulation and advanced statistical analysis. The following tests were applied; ANOVA test, the significance of difference was checked by one-way ANOVA test. Chi-square test was used to determine how the proportions differed. Spearman correlation coefficient and independent-samples t-test were also used to calculate the variance in means across groups. P-values less than 0.05 were regarded as the statistically significant limit. Percentage change was calculated according to the following formula:
Changepercentage(%)=meanofcasesmeanofcontrolmeanofcontrolx100
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2

Endodontic Errors Analysis Protocol

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Completed questionnaires were input in to excel file. Data were coded and analyzed by IBM SPSS program for Windows, Version 21.0. (Armonk, NY: IBM Corp). Chi-square test (χ2) was used for comparing the occurrence of endodontic errors by different variables. The significance level was set at P<0.05.
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3

Bioactive Compound Characterization

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Data are presented as mean ± standard error (SE). One-way analysis of variance (ANOVA) and Duncan’s multiple range test was performed using SPSS program for windows, version 21.0 (SPSS Inc., Chicago, USA). Statistical significance was defined as p < 0.05.
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4

Functional Outcomes After Surgical Intervention

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All statistical analyses were performed using SPSS program for Windows version 21.0 (SPSS, Chicago, IL, USA). The Shapiro-Wilk test was used to check the data for normality. Comparisons between the groups were performed using the Student t test for continuous normal distribution data and the Mann-Whitney U test for ordinal categorical and non-normal distribution data. Comparisons within the groups between the preoperative and postoperative data were performed using a paired t-test for continuous normal distribution data and a Wilcoxon signed-rank test for ordinal categorical and non-normal distribution data. A Pearson chi-square test was used for nominal categorical data. The level of significance was set at p ≤ 0.05. A post-hoc power analysis was performed using G*Power version 3.1.2 to assess the validity of the sample size based on the comparison of postoperative 1 year YBT composite score LSI.
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5

Analysis of Variance in Experimental Studies

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Data are presented as means ± SEM. Equality of variances between groups was assessed by Levene’s test. When homogeneity of variances was assumed, one-way ANOVA was used to determine the significance of the different parameters between groups. If there was a significant difference, a Bonferroni test was used to determine where the difference lay and to correct for multiple testing. When homogeneity of variances was not assumed, data were log transformed. Linear relationships between key variables were tested using Pearson's correlation coefficients. Threshold of significance was set at P<0.05. The analysis was performed using the SPSS program for Windows version 21.0 (SPSS, Chicago, IL, USA).
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