The largest database of trusted experimental protocols

Spps statistics version 20

Manufactured by IBM
Sourced in United States

SPPS Statistics version 20.0 is a statistical software package developed by IBM. It provides a comprehensive set of tools for data analysis, statistical modeling, and reporting. The core function of this product is to enable users to perform a wide range of statistical analyses, including descriptive statistics, hypothesis testing, regression analysis, and more. The software is designed to be user-friendly and accessible to both novice and experienced data analysts.

Automatically generated - may contain errors

Lab products found in correlation

4 protocols using spps statistics version 20

1

Analyzing Bioactive Compound Effects

Check if the same lab product or an alternative is used in the 5 most similar protocols
Data were checked for normality and homogeneity of variances using SPPS Statistics version 20.0 (IBM Corp., Armonk, NY, USA). All data were then subjected to two-way analysis of variance (ANOVA) by SPPS. Mean differences in treatments were separated by LSD at p < 0.05. All data are presented as means ± standard error (S.E.) with n = 6.
+ Open protocol
+ Expand
2

Episiotomy Reduces Levator Avulsion Risk

Check if the same lab product or an alternative is used in the 5 most similar protocols
A power analysis was calculated. Previous data regarding the prevalence of a levator avulsion after first vaginal birth have indicated a mean occurrence of approximately 25%. 5 Our hypothesis was that a mediolateral episiotomy reduced the risk of levator avulsion. We considered a difference of 20% to be clinically relevant. We assumed an alpha risk of 5% and a beta risk of 20% (ie, a power of 80%). With these criteria we needed at least 91 women in each group; therefore, we planned to include 100 women in both groups.
Statistical analysis was performed using IBM SPPS Statistics version 20.0. The comparison of means between groups was performed by the Student t test after For the logistic regression, we controlled for known risk or protective factors for occurrence of obstetric trauma like levator avulsion or obstetric anal sphincter trauma including maternal age, mediolateral episiotomy, duration of second stage of labor, fetal birthweight, and nonocciput anterior fetal head position. 5,28e30 For the study of categorical variables, Fisher exact and c 2 tests were used as appropriate. For ordinal data the Kruskal-Wallis test was used. A 2-sided value of P < .05 was considered to indicate statistical significance.
+ Open protocol
+ Expand
3

Comparative Analysis of Biomarkers

Check if the same lab product or an alternative is used in the 5 most similar protocols
Statistical analyses were performed using IBM SPPS Statistics, version 20. A Kruskal–Wallis test with Dunn’s multiple comparisons adjustment was used to compare the markers between the study groups. The χ2 test was used for categorical variables.
+ Open protocol
+ Expand
4

Thromboelastometric Analysis of Coagulation

Check if the same lab product or an alternative is used in the 5 most similar protocols
Statistical analysis was performed using SPPS Statistics version 20 software (IBM, New York, NY, USA). The data were analysed by analysis of variance (ANOVA) and a post hoc Tukey test was performed when a significant difference was detected. A P-value of <0.05 was considered statistically significant. Based on data from previous studies 8, 9, 11, 12 , ten subjects were estimated to provide a power of 80% at a five percent significance level to detect a 20% difference in thromboelastometric parameters from control samples.
+ 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!