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Statistical package for social sciences spss v22

Manufactured by IBM
Sourced in United States

SPSS v22 is a software package developed by IBM for statistical analysis. It provides a comprehensive set of tools for data management, analysis, and visualization. The core function of SPSS is to enable users to perform a wide range of statistical procedures, including descriptive statistics, regression analysis, and hypothesis testing.

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Lab products found in correlation

2 protocols using statistical package for social sciences spss v22

1

Glycemic Variability and Kidney Function

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The software IBM Statistical Package for Social Sciences (SPSS) v22 was used for data entry and statistical analysis (IBM Corp. Version 22, Chicago, Illinois, USA).
The mean ± standard deviation (SD) or median (IQR) was used to represent continuous variables, depending on whether the data distribution was parametric or non-parametric, as determined by the Shapiro–Wilk test. The paired t-test was applied to compare pre-post means in parametric data. In non-parametric data, the Wilcoxon signed rank test was applied to compare pre-post means. Pearson’s and Spearman’s correlations were used to determine the association between GV parameters and their determinants. Multiple logistic regression was used to determine the association between GV and UACR. The level of statistical significance was set at p <0.05.
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2

Logistic Regression Analysis of Patient LOS

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Collected data were entered into and cleaned using MS Excel (Microsoft Corp) and analyzed using the IBM Statistical Package for Social Sciences (SPSS v. 22). Sociodemographic and admission-related characteristics were presented as frequencies and percentages. For assessing the association between different patient characteristics and appropriateness of their LOS, a multiple logistic regression analysis was used. Bivariate logistic regression was performed and predictors with ≤0.10 level of significance were considered for backward stepwise multivariable logistic regression. A p value of <0.05 was considered to be statistically significant.
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