The mean and standard deviation values were calculated for each group in each test. Data were explored for normality using Kolmogorov–Smirnov and Shapiro–Wilk tests. Data showed parametric (normal) distribution. The paired sample t-test was used to compare two groups in related samples. Then repeated-measures analysis of variance (ANOVA) was used to compare between more than two groups in related samples, whereas one-way ANOVA followed by Tukey’s post hoc test was used to compare between more than two groups in non-related samples. Three-way ANOVA tests were used to test the interactions among different variables. The significance level was set at P ≤ 0.05. Statistical analysis was performed with IBM® SPSS® Statistics Version 20 for Windows (IBM Corp. Released 2011, IBM SPSS Statistics for Windows, Version 20.0, IBM Corp., Armonk, NY, USA).
Spss statistics for windows version 20
Manufactured by IBM
Sourced in United States, United Kingdom, Germany
SPSS Statistics for Windows, Version 20.0 is a software application for statistical analysis. It provides tools for data management, visualization, and advanced statistical modeling. The software is designed to work on the Windows operating system.
Automatically generated - may contain errors
Lab products found in correlation
Spss 20, by IBM (37 mentions)
Spss version 20, by IBM (25 mentions)
Prism 6, by GraphPad (13 mentions)
Statistical package for the social science, by IBM (8 mentions)
Statistical package for social science, by IBM (8 mentions)
Spss statistics version 20, by IBM (7 mentions)
Spss statistics 20, by IBM (7 mentions)
Spps 20, by IBM (4 mentions)
Statistical package for the social sciences version 20, by IBM (3 mentions)
Spss statistical package version 20, by IBM (3 mentions)
Sas 9, by SAS Institute (3 mentions)
Spss statistic, by IBM (3 mentions)
R software, by Lucent Technologies (3 mentions)
Excel 2010, by IBM (3 mentions)
Spss software 20, by IBM (2 mentions)
Ncss 10, by NCSS Statistical Software (2 mentions)
Spss codes, by IBM (2 mentions)
Spss version 26, by IBM (2 mentions)
Spss statistics for window, by IBM (2 mentions)
Prism 8, by GraphPad (2 mentions)
1 503 protocols using spss statistics for windows version 20
1
Statistical Analysis of Experimental Data
2
Statistical Analysis of Biometric Data
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Data were summarized as mean ± standard deviation and median (min. and max.) for continuous variables, and frequencies (percentiles) for categorical variables. Student’s t-test or Mann–Whitney U test was used for independent group comparisons, depending on the distributional properties of the data. The chi-square test was used for proportions and its counterpart Fisher’s exact test was used when the data were sparse. Spearman’s rho was used to determine the strength of association between two variables. All analyses were performed by IBM SPSS Statistics for Windows, Version 20.0. A p<0.05 was considered statistically significant. IBM Corp. Released 2011. IBM SPSS Statistics for Windows, Version 20.0. Armonk, NY: IBM Corp.
3
Comparative Analysis of Bioactive Compounds
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Results were expressed as the mean ± SE. The significant differences between groups were determined using One-way ANOVA with LSD post hoc tests, followed by the Duncan test in all cases. All samples were tested for normality according to the Shapiro-Wilk test before ANOVA. P values < 0.05 were considered statistically significant. Different letters indicate statistically significant differences between groups, which means that sharing the same letter does not differ significantly. Data were analyzed by using SPSS Statistics for Windows, Version 20 (IBM SPSS Statistics for Windows, Version 20. Armonk, NY: IBM Corp).
4
Factors Associated with Activity Limitation
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Data cleaning was done in Excel and data analysis was done by using IBM SPSS Software trial version 22. Descriptive statistics, mean, frequency, and percentage were calculated and Chi-squared analysis and binary logistic regression was performed to find out the association.
Raw data were cleaned in Excel and imported to IBM SPSS Statistics for Windows, version 20.0., IBM Corp., Chicago, IL for further analysis. Both univariate and multivariate analysis has been performed. Under descriptive statistics, frequency percentages, SD was done for categorical variables, Chi-square (Z2) to find the association and binary logistic regression was done with 5 percent as a level of significance. The covariates included in the model were selected based on the literature that these variables are already proven in related to the outcome variable. And these covariates are considered the cause of the exposure, and the outcome. And based on the Chi-squared test results, nearing to significance and significance (P value) variables were added to the binary logistic regression model. The Activity Limitation (AL) is considered as an outcome and the covariates includes gender, depression, visual impairments, alcohol, and incontinence.
Raw data were cleaned in Excel and imported to IBM SPSS Statistics for Windows, version 20.0., IBM Corp., Chicago, IL for further analysis. Both univariate and multivariate analysis has been performed. Under descriptive statistics, frequency percentages, SD was done for categorical variables, Chi-square (Z2) to find the association and binary logistic regression was done with 5 percent as a level of significance. The covariates included in the model were selected based on the literature that these variables are already proven in related to the outcome variable. And these covariates are considered the cause of the exposure, and the outcome. And based on the Chi-squared test results, nearing to significance and significance (P value) variables were added to the binary logistic regression model. The Activity Limitation (AL) is considered as an outcome and the covariates includes gender, depression, visual impairments, alcohol, and incontinence.
5
Evaluating Students' Perceptions of Interprofessional Learning
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
All data were entered and analysed using IBM SPSS Statistics for Windows, Version 20.0. (IBM Corp., Armonk, NY) as described for Phase 1 of the study. Descriptive statistics were presented as percentage and frequencies for all categorical data, while median and interquartile range (IQR) were calculated for continuous variables. Since normality of data could not be assumed, the Mann-Whitney U-test was used to determine any difference in SAIL-10 scores between medical and pharmacy students. In addition, the effect of the prescribing skills workshop on the acceptance of IPL was analysed using the Wilcoxon signed ranks test. A p-value < 0.05 was considered as statistically significant.
6
Comparative Salt Behaviors in Ghana and SA
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
All data were collated and analysed using IBM SPSS Statistics for Windows, Version 20.0. (IBM Corp., Armonk, NY, USA). The normality of the data was checked by visual inspection and the Kolmogorov-Smirnov test. Descriptive statistics of frequencies, percentages and median (IQR) were used to describe respondents’ characteristics and responses to survey items. Country differences were evaluated using Chi-square and Independent Samples Mann Whitney U tests. The significance level was set at p < 0.05. Logistic regression was applied to compare the probability of various salt behaviours between Ghana and SA and odds ratios and 95% confidence intervals (95% CI) were computed. The model was adjusted for potential confounders which included age, sex, residential location, educational level and hypertension prevalence as demonstrated in other studies [52 (link),55 (link),56 (link),57 (link)]. BMI was not included in the final regression model as it was not statistically significant.
7
Drought Stress Response in Cultivars
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Statistical analyses were performed with IBM SPSS Statistics for Windows, Version 20.0. (IBM Corp. Armonk, NY, USA). Differences among well-watered and drought treatments were evaluated with two way Analyses of Variance (ANOVA), with treatment being one fixed factor and variety the other fixed factor. Tukey’ post hoc tests were used to determine statistical differences between treatments and varieties. All data were tested for normality (Kolmogorov–Smirnof test) and homogeneity of variances (Levene’s test). The resulting P-values were considered to be statistically significant at p < 0.05. Asterisks indicate significant differences: * p < 0.05, ** p < 0.01, *** p< 0.001, in the two-way ANOVA for water-stress and cultivars.
8
Statistical Analysis of Categorical and Continuous Variables
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Statistical analyses were performed using IBM Corp. Released 2011, IBM SPSS
Statistics for Windows, version 20.0, Armonk, NY: IBM Corp. Fisher’s exact test
was used for comparing categorical variables. One-way analysis of variance was
used for the comparison of continuous variables. A two-tailed probability value
of < 0.05 was considered significant. All values were presented as mean
± standard deviation or numbers (%), unless stated otherwise.
Statistics for Windows, version 20.0, Armonk, NY: IBM Corp. Fisher’s exact test
was used for comparing categorical variables. One-way analysis of variance was
used for the comparison of continuous variables. A two-tailed probability value
of < 0.05 was considered significant. All values were presented as mean
± standard deviation or numbers (%), unless stated otherwise.
9
Evaluation of Functional Outcomes in Clinical Study
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Due to the sample size, nonparametric tests were used regardless of data normality. Continuous variables were presented as mean and standard deviation (SD), median and interquartile range values. Categorical values were shown as absolute and percentage values. The sample was calculated for convenience and cases were included sequentially.
Functional scores before and after treatment were compared using Wilcoxon tests. Kruskal-Wallis tests were performed for univariate analyzes of radiographic variables, and the Friedman test was used for post-hoc analysis.
Data was analyzed in IBM SPSS Statistics for Windows, Version 20.0 (IBM Corp., Armonk, NY, USA) adopting a 5% significance level.
Functional scores before and after treatment were compared using Wilcoxon tests. Kruskal-Wallis tests were performed for univariate analyzes of radiographic variables, and the Friedman test was used for post-hoc analysis.
Data was analyzed in IBM SPSS Statistics for Windows, Version 20.0 (IBM Corp., Armonk, NY, USA) adopting a 5% significance level.
10
Genetic Factors in Gastric Cancer Risk
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
The categorical variables were presented as proportions and compared using a χ2 test and Z-test with Bonferroni correction. Analysis of variance (ANOVA) was used to compare the mean age. In control group, each polymorphism was tested to ensure the fitting with Hardy–Weinberg equilibrium. Associations of gene polymorphisms with atrophic gastritis and gastric cancer were analyzed using multiple logistic regression analysis. The odds ratios (OR) were adjusted for sex, age and country of birth. For each polymorphism, four models were calculated: (1) each genotype was compared with the wild-type allele homozygous group; (2) recessive model (variant homozygous genotypes vs. heterozygotes and homozygotes for the wild-type allele); (3) dominant model (homozygotes variant + heterozygotes versus homozygotes for the wild-type allele); (4) variant allele vs. wild-type allele.
Statistical data analysis was performed using the statistical package IBM SPSS Statistics for Windows, Version 20.0 (Armonk, NY, USA: IBM Corp., released 2011). The Bonferroni-corrected α level was set at 0.007 (0.05/7 SNPs).
Statistical data analysis was performed using the statistical package IBM SPSS Statistics for Windows, Version 20.0 (Armonk, NY, USA: IBM Corp., released 2011). The Bonferroni-corrected α level was set at 0.007 (0.05/7 SNPs).
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!