The largest database of trusted experimental protocols

Statistical package for the social science version 20

Manufactured by IBM
Sourced in United States

SPSS Statistics 20 is a software package used for statistical analysis. It provides a comprehensive set of tools for data management, analysis, and presentation. The core function of SPSS Statistics 20 is to enable users to perform a variety of statistical tests and procedures on data, including descriptive statistics, correlations, regressions, and more.

Automatically generated - may contain errors

Lab products found in correlation

16 protocols using statistical package for the social science version 20

1

Mortality Risk Prediction Model

Check if the same lab product or an alternative is used in the 5 most similar protocols
Statistical Package for the Social Science version 20 (IBM, Corp., Armonk, NY, USA) was used for the analysis of data. For quantitative data mean, standard deviation, minimum and maximum values; while frequency values were tabulated for qualitative data. For the comparison of categorical data, Pearson chi-square, and Fisher’s Exact tests were used. Data were evaluated at a level of 95% confidence level, A p-value<0.05 was considered significant. Parameters found to be statistically significant in the univariate analyses that were evaluated in a multivariate logistic regression to predict the risk of mortality.
+ Open protocol
+ Expand
2

Statistical Analysis of Social Science Data

Check if the same lab product or an alternative is used in the 5 most similar protocols
The IBM Statistical Package for the Social Science Version 20 (IBM Corp., Armonk, NY, USA) program was used for the statistical analyses. The compliance of the variables with the normal distribution was evaluated with Skewness, Kurtosis and Histogram Analysis, the Kolmogorov-Smirnov Test and the variation coefficient. The data were not consistent with a normal distribution. Descriptive analyses were presented as mean±standard deviation and minimum and maximum for numerical data and by using frequency tables for non-numerical data. Data with numerical variables were compared with the Kruskal-Wallis test. Post-hoc analyses for pairwise comparisons were conducted by using the Mann-Whitney U test with Bonferroni correction. The total type-1 error level was accepted as 5% and the p-value as smaller than 0.05 for statistical significance.
+ Open protocol
+ Expand
3

Auditory Brainstem Response Waveform Analysis

Check if the same lab product or an alternative is used in the 5 most similar protocols
The statistical analysis was conducted using Statistical Package for the Social Science version 20 (IBM Corp., Armonk, NY, USA). Friedman test was used to compare the mean differences between the ABRs recorded from two stimuli (click and LS chirp) and three stimulus polarities (rarefaction, condensation, and alternating) for the following variables, namely 1) ABR amplitudes wave I, III, and V; 2) absolute latencies of wave I, III, and V; 3) IPLs I-III, III-V, and I-V; 4) number of averages reaching the residual noise of 0.04 µV; and 5) the SNRs. A post-hoc analysis using Wilcoxon signed-rank test was then performed with multiple comparisons adjustments. The initial significance value of 0.05 was further divided by the six level of probabilities (3 polarities × 2 stimuli) resulting in the adjustment of the significance level to p=0.008. A non-parametric test was used since the data breached the parametric assumptions including the non-normal data distribution and in-homogeneous variance.
+ Open protocol
+ Expand
4

Statistical Analysis of Experimental Data

Check if the same lab product or an alternative is used in the 5 most similar protocols
Results were analyzed using Statistical Package for the Social Science version 20 (IBM Corporation, Armonk, NY, USA). Continuous data was expressed as mean ± SD. One-way analysis of variance (ANOVA) followed by post hoc analysis was used when appropriate. Difference was considered significant at P-value less or equal to 0.05. The effective concentration was calculated using the regression analysis, probit.
+ Open protocol
+ Expand
5

Robust Statistical Analysis of In-Vitro and In-Vivo Data

Check if the same lab product or an alternative is used in the 5 most similar protocols
In-vitro studies were performed in triplicate while in-vivo experiments were carried on a group of five animals. Results were analyzed using Statistical Package for the Social Science version 20 (IBM Corporation, Armonk, NY, USA). Continuous data were expressed as mean±SD. t-test or One-way analysis of variance (ANOVA) followed by post hoc Tukey’s test was used when appropriate. The difference was considered significant at a p-value of less than or equal to 0.05.
+ Open protocol
+ Expand
6

Prognostic Significance of DCLK1 in Prostate Cancer

Check if the same lab product or an alternative is used in the 5 most similar protocols
Statistical analysis was performed by using Statistical Package for the Social Science Version 20.0 (IBM Corporation, Armonk, NY, USA). Continuous parametric variables were presented as mean ± SD and compared by using Student’s t-test. The association between DCLK1 expression and clinicopathological variables was examined by Spearman correlation coefficient. The bRFS was analyzed by using the Kaplan–Meier method followed by log-rank test. Univariate and multivariate analyses using Cox proportional hazard regression model were employed to identify independent prognostic predictors of BCR. All tests of significance were two-sided, and P<0.05 indicated statistical significance.
+ Open protocol
+ Expand
7

Normative Range Determination via Regression

Check if the same lab product or an alternative is used in the 5 most similar protocols
Descriptive statistics (mean, standard deviation, frequency, percentages) and inferential statistics (correlation coefficient) were carried out; polynomial regression was used to construct a normal range for the percentiles, using Statistical Package for the Social Science version 20.0, IBM Corp. Armonk, NY, USA.
+ Open protocol
+ Expand
8

Comparing Adverse Events in ICI Therapy

Check if the same lab product or an alternative is used in the 5 most similar protocols
The major endpoint of current study was TRAEs and irAEs in the whole pooled cohort, ICI monotherapy and ICI combination cohorts. Other assessed outcomes were comparisons of TRAEs and irAEs profiles between ICI monotherapy and ICI combination cohorts, and between different ICIs in monotherapy cohort. AEs were pooled up per ICI and regimen described in percentage. Chi-square test or Fisher exact test was used to perform the comparison. Statistical analysis were performed using Statistical Package for the Social Science, version 20.0 (SPSS, Chicago, IL, USA) and. Two-sided P < 0.05 indicated a statistically significant difference.
+ Open protocol
+ Expand
9

Statistical Analysis of Ophthalmic Measurements

Check if the same lab product or an alternative is used in the 5 most similar protocols
Statistical analysis was performed with a one-way ANOVA, followed by the Dunnett multiple-comparisons test (GraphPad Prism 5 software; GraphPad Software, San Diego, CA). A p-value of < 0.05 was considered to be statistically significant. All results were compared between investigators by using the intraclass correlation coefficient (ICC). Results from one investigator were reported in this study as the mean and standard deviation for all eyes. Additionally, spearman correlation analyses were used to define the correlation between the blink rate and Pentacam parameters. All statistical analyses were performed using the Statistical Package for the Social Science, Version 20.0 (SPSS Inc., Chicago, IL). A p-value of < 0.05 was considered statistically significant.
+ Open protocol
+ Expand
10

Correlating Age and Oocyte Count

Check if the same lab product or an alternative is used in the 5 most similar protocols
Statistical analysis was performed using the Statistical Package for the Social Science version 20.0 (SPSS Inc, Chicago. IL, USA). The data were analyzed using the Chi-square test. A Pearson rank correlation was used to analyze the relationships between age and the number of oocytes. P-value of < 0.05 was considered significant.
+ Open protocol
+ Expand

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

Sign up now

Revolutionizing how scientists
search and build protocols!