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Statistical package for social science software 17

Manufactured by IBM
Sourced in United States

The Statistical Package for Social Science (SPSS) software 17.0 is a data analysis and statistical software package used for a variety of research and data analysis tasks. It provides tools for data management, data analysis, and data presentation.

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Lab products found in correlation

3 protocols using statistical package for social science software 17

1

Evaluating Anthropometric Obesity Indicators

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All data were established using EpiData version 3.02 software. After alignment correction, a statistical analysis was performed using the Statistical Package for Social Science software 17.0 (SPSS, IL, USA). Continuous variables are presented as the mean ± standard deviation or the median (IQR), as appropriate, and are compared using the t test or the Mann–Whitney U test, depending on whether the quantitative data were consistent with a normal distribution. Categorical variables are expressed as percentages and were analyzed using the chi-square test or Fisher’s exact test as appropriate. Partial correlation analysis was used to evaluate the association between WC, BMI, VAI and BFP. Multivariate logistic regression analysis was carried out to evaluate the risk factors for elevated BMI and abdominal obesity as the dependent variables. A value of p < 0.05 was considered statistically significant.
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2

Prehypertension and Hypertension Prevalence

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All data were established using EpiData version 3.02 software. After alignment correction, a statistical analysis was performed using the Statistical Package for Social Science software 17.0 (SPSS, IL, USA) and Microsoft Excel 2007. Continuous variables were presented as mean ± standard deviation or median (IQR) as appropriate and compared using the t test or the Mann—Whitney U test, which depended on whether the quantitative data were consistent with the normal distribution. Categorical variables were expressed as percentages and analyzed by the chi-square test or Fisher’s exact test as appropriate. Multivariate logistic regression analysis was performed to evaluate significant risk factors for prehypertension (vs normotension), hypertension (vs normotension), and hypertension (vs prehypertension). A P value less than 0.05 was considered statistically significant.
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3

Sedentary Behavior Impact on Cardiovascular Events

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All data were established using the EpiData version 3.02 software (Odense, Denmark). After alignment correction, both the Statistical Package for Social Science software 17.0 (SPSS, IL) and Microsoft Excel 2007 were used for statistical analysis. Continuous variables are presented as the mean ± standard deviation and are compared using the t test. Categorical variables are expressed as percentages and were analyzed using the Chi-square test or Fisher exact test, as appropriate. Multivariate logistic regression analysis was performed to evaluate the odds ratio (OR) and 95% CI of MI or stroke being associated with sedentary behavior. Sedentary behavior of < 4 hours/day was chosen as a reference to be consistent with previous studies in the field because most subjects fell in this category.[17 (link)] Statistical significance was based on P < .05.
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