Data are presented as mean ± SD. Repeated three-way analysis of covariance (ANCOVA) measures were used to determine any differences among the 4 interventions (S, E, SE, and PA) and the BMI category (overweight and obese) at baseline and post-intervention. Analyses were performed in men and women separately, and age was used as covariate. The Bonferroni post hoc test was employed to locate specific differences. Differences between the PA group and the exercise groups in fitness category frequencies were calculated using a χ2 test. SPSS Statistic for Windows Version 20.0 (IBM Corp., Armonk, NY, USA) was used. The significance level was set at α = 0.05.
Spss statistic for windows version 20
Manufactured by IBM
Sourced in United States
SPSS Statistics for Windows Version 20.0 is a software application designed for statistical analysis. It provides a comprehensive set of tools for data management, analysis, and presentation. The software supports a wide range of statistical techniques, including descriptive statistics, regression analysis, and advanced modeling. SPSS Statistics for Windows Version 20.0 is used by researchers, analysts, and organizations to gain insights from data.
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Lab products found in correlation
2 protocols using spss statistic for windows version 20
1
Effects of Exercise Interventions on BMI
2
Intervention Effects on Outcomes
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Statistical analyses of the primary and secondary outcomes will be conducted with the IBM SPSS Statistic for Windows, Version 20.0 (2010 SPSS Inc., IBM Company Armonk, NY). Intervention effects for the primary and secondary outcomes will be examined by two-way (trial × time) analysis covariance (ANCOVA), including group as a fixed factor, pre-post intervention difference (change) as the dependent variable, and age, attendance, sports skill, and ADHD symptoms as covariates. Effect sizes (ES) will be presented as partial eta squared values (ŋ2). Pairwise comparison will be performed (post-hoc) with Bonferroni correction, with ES presented as Cohen’s d. All data will be presented as mean ± SD, and significance will be set as p < 0.05 for all data analyses.
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