The data were expressed as the average of 6 replicates for growth criteria and as the average of 3 of all chemical analyzes. One-way ANOVA (LSD. And Duncan’s multiple comparison test) at 0.05 were performed using IBM SPSS Statistics for Windows 21 software.
Spss statistics 21 for windows
Manufactured by IBM
Sourced in United States, Japan, United Kingdom
SPSS Statistics 21 for Windows is a data analysis software that provides statistical analysis capabilities. It offers tools for data management, exploration, modeling, and reporting. The software supports a range of statistical procedures and can be used for various analytical tasks.
Automatically generated - may contain errors
Lab products found in correlation
Infinium hd methylation assay, by Illumina (2 mentions)
Prism 6 for mac os x, by GraphPad (2 mentions)
Version 20, by MedCalc (1 mentions)
Prism 6, by GraphPad (1 mentions)
Prism 9 for macos, by GraphPad (1 mentions)
Spss statistics for windows version 21, by IBM (1 mentions)
Prism 5, by GraphPad (1 mentions)
88 protocols using spss statistics 21 for windows
1
Comparative Growth and Chemical Analysis
2
Antibiotic Resistance in P. aeruginosa
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Statistical analyses were performed using SPSS version 21 (IBM SPSS Statistics for Windows 21.0, IBM Corp., Armonk, NY, USA). Fisher’s exact test was performed to compare the antibiotic resistance and virulence factors of P. aeruginosa ST235 and ST773. Statistical significance was set at P < 0.05.
3
Statistical Analysis of Experimental Data
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
The IBM SPSS Statistics for Windows 21 package program was used for the analysis of the data, with descriptive statistics (numbers, percentages, means, standard deviation) being used for descriptive variables, the chi-square test used to compare the data of the experimental and control groups, and the Mann-Whitney U and Wilcoxon tests to compare pretest-posttest scores of the experimental and control groups. The level of significance was accepted to be p < 0.05.
4
Thermoregulation Differences in Parkinson's and MSA
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
As there are significant differences in somatic thermoregulation between men and women, we analyzed the male and female patients/controls independently. The differences in age at onset, disease duration, and dose of anti-Parkinson drugs were evaluated using a two-sample t-test between PD and MSA patients. The differences in Tv values among the PD, MSA, and control groups were evaluated using an analysis of covariance (ANCOVA) controlling for age, and the volume of the lateral ventricles was analyzed in the same way. The post hoc test was carried out using Bonferroni's correction for multiple comparisons. The differences of Tv values were also evaluated using a two-sample t-test between MSA-P and MSA-C patients in the men and women, respectively. We assessed the correlation between age and Tv in the 114 adults of the all-age control group using the Pearson product-moment correlation coefficient, controlling for ventricular volume. We also assessed the correlation between ventricular volume and Tv in the all-age control group using the Pearson product-moment correlation coefficient. The statistical analyses were performed using SPSS Statistics for Windows 21.0 software (SPSS Japan, Tokyo).
5
Leisure Activity's Impact on Benefits
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
SPSS Statistics for Windows 21.0 was used to process all data indicators. Linear and curve regression models were mainly used to explore the relationship between leisure activity involvement and leisure benefits. The significant level of all indicators was set to α = 0.05.
6
Sample Size Calculation and Statistical Analysis
Check if the same lab product or an alternative is used in the 5 most similar protocols
The G*Power 3.0.10 software (Franz Faul, Uni Kiel, Germany) was used for calculating the sample size.
10 (link)
Sample size was calculated with an alpha of 0.05, a power of 80, and medium effect size (f) 0.25. Given this calculation, the minimum required sample size was 53 patients in each group. One hundred and eighty patients were included in the study. Statistical analyses were performed using the IBM SPSS Statistics for Windows 21.0 software (IBM Corp., Armonk, NY, USA). Parametric continuous data were presented as means ± standard deviation, nonparametric continuous data were presented as medians (min–max). Categorical variables were expressed as numbers (percentages). For statistical analysis, one-way analysis of variance (ANOVA), Kruskal-Wallis, Mann-Whitney U, and Pearson chi-squared tests were used, as appropriate;
p < 0.05 was considered significant.
+ Expand
The G*Power 3.0.10 software (Franz Faul, Uni Kiel, Germany) was used for calculating the sample size.
10 (link)
Sample size was calculated with an alpha of 0.05, a power of 80, and medium effect size (f) 0.25. Given this calculation, the minimum required sample size was 53 patients in each group. One hundred and eighty patients were included in the study. Statistical analyses were performed using the IBM SPSS Statistics for Windows 21.0 software (IBM Corp., Armonk, NY, USA). Parametric continuous data were presented as means ± standard deviation, nonparametric continuous data were presented as medians (min–max). Categorical variables were expressed as numbers (percentages). For statistical analysis, one-way analysis of variance (ANOVA), Kruskal-Wallis, Mann-Whitney U, and Pearson chi-squared tests were used, as appropriate;
p < 0.05 was considered significant.
7
Analysis of Surgical Intervention Factors
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Data were analyzed using IBM SPSS Statistics for Windows 21.0 (IBM Corp., Armonk, NY, USA). Conformity of the data to normal distribution was evaluated using the Shapiro–Wilk test. Non-normally distributed numerical data were presented as the median and minimum-maximum, while normally distributed numerical data were presented as the mean and standard deviation, and categorical data as numbers and percentages. Intergroup comparison was performed using the Mann–Whitney U and Student’s t-tests for the non-normally and normally distributed numerical data, respectively, and the Chi-square test for the categorical data. Logistic regression analysis was performed to determine the factors that predicted surgical intervention following medical treatment. P<0.05 was considered statistically significant.
8
Factors Associated with Non-ED Treatment
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
General and clinical demographics and prehospital treatment were compared between the ED treatment group and the non-ED treatment group using the Student’s t-test, chi-square test, and Fisher’s exact test. Multivariate logistic regression analysis was performed to determine factors that were associated with non-ED treatment in patients with EMS transport using significant factors (p < 0.1) from univariate comparison, including the Student’s t-test, chi-square test, and Fisher’s exact test between the two groups. Statistical analysis was performed using IBM SPSS Statistics for Windows 21.0 (IBM Corp., Armonk, NY, USA). Significance was set at p < 0.05.
9
Genetic Variants and Study Parameters Analysis
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
IBM SPSS Statistics for Windows 21.0 (IBM Corp., Armonk, NY, USA) was used for the statistical analysis. The descriptive statistics were expressed as the mean, standard deviation, median, minimum, and maximum for the continuous variables after assessing their normality, while frequency and percentage were used to express the nominal variables. The Pearson chi-square test or Fisher exact test was used to compare the discrete variables, and Bonferroni correction was used in the pairwise comparisons to determine which group or groups showed statistically significant results. Multivariate binary logistic regression analyses were performed to determine the association between different variants of the genes with the study parameters. The results were adjusted for age and sex. Consequently, the odds ratio (OR) and 95% confidence interval (CI) were used to express the association of the gene variants with the study parameters. The Hardy Weinberg equilibrium (HWE) was calculated using the De-Finetti program (online HWE and Association Testing - Institut für Humangenetik, Munich, Germany). Statistical significance was accepted as p < 0.05 in all the analyses. The effect size was determined as 0.63%. The power of the study with an alpha of 0.05 was calculated as 94%.
10
Power Analysis for Comparative Study
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
When a power analysis (G power, Germany) was performed at 80% power and 0.05 significance level for the variable with the largest standard deviation among the variables to be used in the study, it was calculated that there should be at least 5 subjects in each group and 7 optimally. IBM SPSS Statistics for Windows 21.0 (IBM Corp., Armonk, NY, USA) was used for the statistical evaluation. Determining the normality of the data was performed with the Shapiro–Wilk test and the descriptive statistics were expressed as the median (minimum and maximum). Comparison of the continuous variables among the 3 groups was done with the Kruskal–Wallis analysis of variance with post hoc comparisons with the Mann–Whitney U test. p < 0.05 was accepted as statistically significant.
About PubCompare
Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.
We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.
However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.
Ready to get started?
Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required
Revolutionizing how scientists
search and build protocols!