The largest database of trusted experimental protocols

Statistical package for the social sciences spss version 17.0 for windows

Manufactured by IBM
Sourced in United States

SPSS Version 17.0 for Windows is a software package that provides statistical analysis capabilities. It is designed for the analysis of data in the social sciences field.

Automatically generated - may contain errors

Lab products found in correlation

2 protocols using statistical package for the social sciences spss version 17.0 for windows

1

Peri-intubation Complications and Acute Kidney Injury

Check if the same lab product or an alternative is used in the 5 most similar protocols
Continuous parametric variables are expressed as the means ± standard deviations (SDs), and continuous nonparametric variables are presented as the medians with interquartile ranges (25th and 75th percentiles). Categorical variables are given as numbers (n) or percentages (%). Between-group comparisons of continuous variables were performed using Student’s t-test or the Mann–Whitney U-test, and Pearson’s chi-squared or Fisher’s exact test was used to compare categorical variables. Three-group comparisons were conducted using one-way ANOVA or the Kruskal–Wallis H-test for continuous variables and Pearson’s chi-square or Fisher’s exact test for categorical variables. Logistic regression analyses and a forward stepwise selection method were performed to identify the effect of AKI on peri-intubation complications. Statistical analyses were performed using Statistical Package for the Social Sciences (SPSS) Version 17.0 for Windows (SPSS Inc., Chicago, IL, USA). A P–value<0.05 was considered indicative of statistical significance.
+ Open protocol
+ Expand
2

Statistical Analysis of Continuous and Discrete Variables

Check if the same lab product or an alternative is used in the 5 most similar protocols
Continuous variables are presented as the mean ± standard deviations, or medians (25%–75% interquartile range), depending on the variable distribution. Discrete variables are presented as counts or percentages. Between-group comparisons were performed using Student’s t-test or the Mann–Whitney U-test. Correlations between potential factors were assessed using Pearson’s chi-squared or Fisher’s exact test. Multivariable logistic regression models were constructed with forward variable selection, with the exit criterion set at P<0.25. A P-value <0.05 was considered to reflect statistical significance. Statistical analyses were performed using Statistical Package for the Social Sciences (SPSS) Version 17.0 for Windows (SPSS Inc., Chicago, IL, USA).
+ 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!