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Spss v23 statistical package

Manufactured by IBM

SPSS v23 is a statistical software package developed by IBM. It provides tools for data analysis, data management, and data visualization. The core function of SPSS v23 is to enable users to perform statistical analysis on data, including regression analysis, hypothesis testing, and descriptive statistics.

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Lab products found in correlation

2 protocols using spss v23 statistical package

1

Exertion-Induced Cardiac Fatigue

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Data are shown as mean ± standard deviation (SD). The Wilcoxon signed-rank test was used to analyze changes from baseline to post-exertion. Univariate logistic regression analyses were used to assess the association between potentially predictive variables and the occurrence of EICF. Linear regression analyses were also performed to assess the association between these variables and the magnitude of impairment of cardiac function (i.e., relative change from baseline to post-race in LVGLS or RVFWS) as a continuous variable. In addition, the Fisher's exact test was used to compare the proportion of EICF occurrence depending on age (i.e., participants aged ≥ or <45 years, respectively). Analyses were performed using SPSS v23 statistical package (IBM statistics; Chicago, IL) with the threshold for statistical significance set at <0.05.
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2

Evaluating Motivational and Perceptual Factors

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First, given the sensitivity of the Chi-square statistic to the sample size, other fit indices have been used: χ2/df test (values lower than 3 are considered indicators of acceptable fit of the model); absolute Goodness of Fit Index (GFI ≥ 0.90), Standardized Root Mean Residual (SRMR ≤ 0.06), Root Mean Square of Approximation (RMSEA ≤ 0.08); Normed Fit Indices (NFI ≥ 0.90), Comparative Fit Index (CFI ≥ 0.90), and Adjusted Goodness of Fit Index (AGFI ≥ 0.90) (Brown, 2006 ; Lévy and Varela, 2006 ; Arbuckle, 2009 ; Schweizer, 2010 (link)). Finally, the internal consistency of the factors was assessed using the Cronbach’s alpha, following the recommendations of George and Mallery (2003) (α > 0.9 excellent, α > 0.8 good, α > 0.7 acceptable).
The mean and standard deviation of each motivational and perceptual factor were also calculated. Next, to obtain the results on the main effects of the interaction between the different variables, the Student’s t-test for independent samples was carried out. The effect size (Cohen’s d) was also calculated: values between 0.2 and 0.3 indicate a small effect, around 0.5 a medium effect, and higher than 0.8 a large effect.
All analyses were performed with the SPSS v. 23 statistical package (IBM Corp, 2013 ) and the AMOS v. 23 package, given that a relationship is statistically significant when p < 0.05.
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