Quantitative variables were tested concerning data distribution, and no evidence of non-normality was found. Therefore, quantitative variables are expressed as means and standard deviations. The Shapiro-Wilk test was chosen for normality analysis of data distribution because it is better suited for use with small sample sizes. Qualitative variables are expressed as absolute values and percentages. The groups were compared by using the t-test for independent samples. The effect size for t-tests was estimated by calculating Cohen’s d statistic, which categorizes the effect size as small (0.2-0.4), medium (0.5-07), or large (≥ 0.8), particularly for spirometric measures. Qualitative variables were compared between groups by using the chi-square test. For spirometric variables with significant intergroup differences, we performed analysis of covariance (ANCOVA), adjusting for possible confounding factors. To assess potential associations between spirometric data and clinical data, we performed a Spearman correlation analysis restricted to the SUD group. All analyses were performed with the SPSS Statistics software package, version 17.0 (SPSS Inc., Chicago, IL, USA). Values of p < 0.05 were considered statistically significant.
Spss statistics software package version 17
Manufactured by IBM
Sourced in United States
SPSS Statistics software package, version 17.0, is a comprehensive statistical analysis software. It provides capabilities for data management, advanced statistical analysis, and presentation of results.
Automatically generated - may contain errors
Lab products found in correlation
2 protocols using spss statistics software package version 17
1
Quantitative Analysis of Spirometric Data
2
Cytotoxicity and pH Evaluation of Denture Adhesives and Mouth Moisturizers
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Three experiments were performed for each cytotoxicity test and material. pH was measured 5 times for each material. Determinations of percent or value as compared to the control and each type of material obtained by live or dead counting and pH measurement results were subjected to one-way analysis of variance (ANOVA), then mean values were compared using Tukey's method, with a 5% difference used to denote significance (alphabet letters). In all experiments, results for each type of material were separately subjected to one-way ANOVA, then those mean values were compared using Tukey's method, with a 5% difference used to denote significance (*). We analyzed denture adhesives and mouth moisturizers separately, because of their different forms. Values obtained for the control and each mouth moisturizer obtained by live or dead counting assay results were subjected to one-way ANOVA, then those mean values were compared using Tukey's method, with a 5% difference used to denote significance (**). For all statistical analysis, the SPSS Statistics software package, version 17.0 (SPSS, Chicago, IL, USA) was used.
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