Statistical packages for the social sciences version 20

Manufactured by IBM

Sourced in United States

SPSS Statistics version 20.0 is a comprehensive set of data analysis tools developed by IBM. It provides a wide range of statistical and analytical functions for the social sciences. The software enables users to import, manage, analyze, and present data efficiently.

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Statistical Package for the Social Science version 20 Statistical Package for the Statistical Package for Social Sciences version 20.0 software Statistical Package for the Social Sciences version 20.0 Statistical Package for the Social Sciences 20.0 Statistical Package for Social Sciences version 20.0 Statistical Package for Social Science version 20.0 Statistical Package for Social Science 20.0 Statistical Package for Social Sciences 20.0 Statistical Package Social Sciences Version 20.0

2 protocols using statistical packages for the social sciences version 20

Dietary Patterns and Obesity Risk

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Results are displayed as percentages (%) and means (M) with corresponding standard deviations (SD). The statistical analysis (descriptive statistics, Student’s t test, analysis of variance, Chi-square test, and multiple logistic regression analysis) was performed using the program Statistical Packages for the Social Sciences version 20.0 (SPSS, Chicago, IL, USA). Statistical significance was assumed when p-value was < 0.05.

Durá-Travé T., Gallinas-Victoriano F., Urretavizcaya-Martinez M., Ahmed-Mohamed L., Chueca-Guindulain M.J, & Berrade-Zubiri S. (2020). Effects of the application of a prolonged combined intervention on body composition in adolescents with obesity. Nutrition Journal, 19, 49.

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Statistical Analysis of Social Sciences

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Statistical Packages for the Social Sciences (version 20.0; SPSS Inc., Chicago, IL, USA) software was used for all analyses. Categorical and continuous data were compared using the chi-squared (or Fisher’s exact test if required by sample size) and Student’s t-test, respectively. Bivariate correlation analyses for categorical and continuous data were performed by Spearman’s and Pearson’s correlation analysis, respectively. The Kruskal–Wallis and Kolmogorov–Smirnov tests were used to make comparisons between related samples. A P value <0.05 was considered to be statistically significant.

Gunes H.N., Cokal B.G., Guler S.K., Yoldas T.K., Malkan U.Y., Demircan C.S., Yon M.I., Yoldas Z., Gunes G, & Haznedaroglu I.C. (2016). Clinical associations, biological risk factors and outcomes of cerebral venous sinus thrombosis. The Journal of International Medical Research, 44(6), 1454-1461.

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