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Spss statistical software package for windows version 15

Manufactured by IBM
Sourced in United States

SPSS statistical software package for Windows, version 15.0 is a data analysis tool that provides a comprehensive set of features for managing, analyzing, and visualizing data. It offers a wide range of statistical techniques, including descriptive statistics, regression analysis, and hypothesis testing, to help users gain insights from their data.

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Lab products found in correlation

4 protocols using spss statistical software package for windows version 15

1

Questionnaire Response Analysis in Medical Education

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A descriptive analysis was performed. The answer rate of the questionnaire was calculated by dividing the number of responses by the total number of students matriculated. For each question of the questionnaire, the mean score (SD) and the score range were provided for the two scales used (5-points Likert scale or 10-points overall scale). For the comparison analysis between the year of career (intermediate vs. late years), the t Student test was used for every mean score question. A bilateral p-value < 0.05 was used to determine statistical significance.
Statistical analysis was performed using the SPSS statistical software package for Windows, version 15.0 (SPSS™ Inc., Chicago, IL, USA).
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2

Exploring Quality of Life Determinants

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Data are presented as means ± standard deviation. Categorical variables are shown as percentages. The Pearson correlation coefficient was used for independent quantitative variables, the Mann–Whitney U test for dichotomous qualitative variables, and the ANOVA test for qualitative variables with three or more categories.
In order to explore how each sociodemographic and clinical characteristic influences QOL, a multiple linear regression analysis was performed. KDSC, PCS, and MCS were the outcome variables and backward stepwise selection was used for independent variables with an entry criterion of p < 0.05 and an exit criterion of p > 0.1. β-coefficients were calculated with the respective 95% confidence intervals.
The level of statistical significance was established as p < 0.05. All data were analyzed using the SPSS statistical software package for Windows, version 15.0 (SPSS Inc., Chicago, Ill., USA).
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3

Statistical Analysis of Experimental Data

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All statistical analyses were carried out using the SPSS® statistical software package for Windows®, version 15.0 of SPSS Inc. (Chicago, IL, USA). The results are presented as means ± SD, and p ≤ 0.05 was used to determine whether treatment differences were significant.
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4

Pediatric Adverse Drug Reactions Analysis

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For descriptive analysis we used the number of cases and percentages for categorical variables; median and range for ordinal variables; and mean and standard deviation (SD) for continuous variables.
To compare the characteristics of ADRs between age subgroups, we decided to pool the age subgroups that included the newborns, infants and toddlers (NIT subgroup) due to the small sample size of each one, in order to assess statistical differences between pediatric subgroups. Children under two years of age are usually treated with similar drugs because they present with similar diseases that lead to hospital admission, and the nursing staffs that care for them are also similar.
The Pearson chi-square test was used for categorical variables and the Kruskall–Wallis test for ordinal variables. A bilateral p-value < 0.05 was used to determine statistical significance.
Statistical analysis was performed using the SPSS statistical software package for Windows, version 15.0 (SPSS Inc., Chicago, IL, USA).
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