Based on the number of colorectal surgeries performed over a 2‐year period per center, three subgroups were formed, as suggested in the literature,10 including centers carrying out <40 (group 1), 40–59 (group 2) and ≥6 (group 3) colorectal surgeries over 2 years. Statistical analyses included the Kruskal–Wallis test and the Mann–Whitney test for parametric and nonparametric continuous variables. Associations between volume activity per 2 years and complication rates were evaluated using Spearman rank correlation. Values of P < 0.05 were considered significantly different. Data were managed with SPSS 27 statistical software (IBM).
Spss 27 statistical software
Manufactured by IBM
Sourced in United States
SPSS 27 is a comprehensive statistical software package developed by IBM. It provides a wide range of analytical tools for data management, exploration, modeling, and reporting. SPSS 27 is designed to handle large datasets and offers advanced statistical techniques for researchers, analysts, and organizations across various industries.
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Lab products found in correlation
6 protocols using spss 27 statistical software
1
Colorectal Surgery Volume Impact
2
Belief in Media Content Perception
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In the first step, descriptive analyses were performed. Since the independent variable in this work was not based on a normal distribution according to Kolmogorov–Smirnov test and Shapiro–Wilk test, we used robust methods for the main hypothesis-based analyses. The computations of the model assumptions can be understood in the provided data sets and syntax. For testing RQ1, nonparametric Wilcoxon tests, which test differences between two dependent samples as nonparametric equivalent to the t-test for dependent samples, were employed to compare the belief in perceived scientific and conspiracy-theoretical media content. In addition, linear regression analysis is to examine further hypotheses and research questions. All models were controlled for sex, age, highest educational status, current occupation, and marital status, which were included as covariates. Finally, the tested significance of differences between correlations in magnitude was examined by Fisher’s z-test. All statistical analyses were performed using IBM SPSS 27 statistical software [56 ] (the data set is available at https://osf.io/twnbz/?view_only=77d2c71c3aba4299b28b65155f063c66 ).
3
Factors Associated with Mortality in Decompression Illness
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The categorical variables were expressed in proportions, and the χ2 test was used for comparisons. The continuous variables were expressed in medians, quartiles, and ranges, and the Mann–Whitney test was used for comparisons. The time periods between two defined time points were expressed in minutes, hours, days, or months. Their distributions were presented with five times, as follows: shortest–25% quartile–median –75% quartile–longest (Tables 1 and 2 ). The Kaplan–Meier analysis was used to calculate the cumulative mortality rates. In the 45 DC patients (25 dead and 20 survivors), univariate analysis was used to identify factors that associated with the death. Factors associated with a favorable outcome (modified Rankin Scale (mRS) 0–2) and return to work were also searched. P values < 0.05 were considered significant. We used the SPSS 27 statistical software (SPSS, Inc., Chicago, IL).
4
Intracerebral Hemorrhage Volume Analysis
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The categorical variables were expressed in proportions, and the χ2 test was used in comparisons. The continuous variables were expressed in medians, quartiles, and ranges, and the Mann-Whitney U test and the Spearman's ρ test were used in comparisons. The various time periods between time points were expressed in minutes, hours, days or months, and their distributions were presented with five times, as follows: (shortest – 25% quartile – median – 75% quartile – longest). Univariate analysis was used to analyze factors that associated to the aICH volume and the degree of aICH removal. P values < 0.05 were considered significant. We used the SPSS 27 statistical software (SPSS, Inc., Chicago, IL).
5
Clinical Outcome Predictors in Patients
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The categorical variables were expressed in proportions, and the χ2 test was used in comparisons. The continuous variables were expressed in medians, quartiles, and ranges, and the non-parametric tests were used in comparisons. The Kaplan-Meier analysis was used to calculate the cumulative mortality rates, and the log-rank test was used to test for differences between groups. Independent risk factors for the clinical condition at 3 years of the 120 patients were searched with logistic regression analysis. P values < 0.05 were considered significant. We used the SPSS 27 statistical software (SPSS, Inc., Chicago, IL).
6
Assessing Public Awareness of MI Symptoms
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Continuous variables were expressed as means ± standard deviation (SD). Categorical and ordinal variables were expressed as frequency (n) and proportion (%) of the overall sample or subgroups. Outpatients and public groups’ awareness of MI symptoms and risk factors were compared using chi-squared after stratifying for age because of significant age differences between them. Comparison of acknowledging own MI risk factors was also done by using chi-square test in addition to odds ratio.
One-way ANOVA or independent-samples t-test analysis was used to assess the association of respondents’ sociodemographic and MI risk factors with knowledge of MI symptoms and risk factors if the data was normally distributed, otherwise non-parametric analysis would be used. Two-way ANOVA was used to assess healthy lifestyle behaviors adjusted sociodemographic and MI risk factors’ association with MI knowledge scores. Bonferroni analysis was used to correct for multiple comparisons. Statistical tests were two-tailed and reported statistically significant at p < 0.05. All statistical analyses were completed using SPSS 27 statistical software (SPSS Inc., Chicago, Illinois, USA).
One-way ANOVA or independent-samples t-test analysis was used to assess the association of respondents’ sociodemographic and MI risk factors with knowledge of MI symptoms and risk factors if the data was normally distributed, otherwise non-parametric analysis would be used. Two-way ANOVA was used to assess healthy lifestyle behaviors adjusted sociodemographic and MI risk factors’ association with MI knowledge scores. Bonferroni analysis was used to correct for multiple comparisons. Statistical tests were two-tailed and reported statistically significant at p < 0.05. All statistical analyses were completed using SPSS 27 statistical software (SPSS Inc., Chicago, Illinois, USA).
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