Statistics for windows version 26

Manufactured by IBM

Sourced in United States

Statistics for Windows version 26 is a software package that provides statistical analysis tools for Windows-based computers. It offers a range of functions and features for data analysis, statistical modeling, and reporting.

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Lab products found in correlation

Matlab, by MathWorks (2 mentions)

Close spelling variants of this product

SPSS Statistic for Windows, Version 26.0 Statistics 26.0

3 protocols using statistics for windows version 26

Postoperative Mortality Risk Factors in AKI-CRRT

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IBM SPSS statistical software was used (Statistics for Windows, version 26, IBM Corporation, Armonk, NY, USA). The normality of the distribution of continuous variables was assessed by the Shapiro–Wilk test. Normally distributed variables are expressed as the mean ± standard deviation and were compared using Student’s t-test. Nonparametric continuous variables are expressed as medians (interquartile ranges (IQRs)) and were compared using the Mann–Whitney U test. Categorical data were compared using the chi-square test or Fisher’s exact test.
For additional analyses, all statistically significant variables in univariable analysis (P < 0.05) and variables considered by clinicians to be potentially significant were included in a multivariable logistic regression model to assess the independent associated postoperative mortality in patients with AKI-CRRT. Collinearity diagnostics were performed using tolerance estimates for individual variables in a logistic regression model.

Liu C., Zhang H.T., Yue L.J., Li Z.S., Pan K., Chen Z., Gu S.P., Pan T., Pan J, & Wang D.J. (2021). Risk factors for mortality in patients undergoing continuous renal replacement therapy after cardiac surgery. BMC Cardiovascular Disorders, 21, 509.

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Statistical Analysis Procedures for Experimental Research

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All statistical analyses were conducted with IBM Statistics for Windows version 26 (SPSS, Inc., IBM company) or MATLAB (R2018b, The MathWorks, Inc.), except otherwise specified. Significance levels were set to p_two‐tailed < .05. Violations of sphericity were appropriately corrected by Greenhouse‐Geisser ε_GG if ε_GG ≤ 0.75 (Box, 1954 (link); Geisser & Greenhouse, 1958 (link)) or Huynh‐Feldt ε_HF if ε_GG > 0.75 (Huynh & Feldt, 1976 (link)). Post hoc t tests were conducted for further analyses of significant results. The measure of effect size ω² is reported for significant results (Hays, 1994 ). It is an estimator for the population effect Ω², which specifies the systematic portion of variance in relation to the overall variance (Rasch et al., 2014a , 2014b ). All power calculations were performed with G*Power (version 3.1.9.4, Faul et al., 2007 (link)) or MATLAB (R2018b). The sample was balanced according to starting time of the experimental session, order of positions, mapping of response keys, and sex. These factors were, therefore, controlled for and not included in statistical analyses. Data are always presented as mean ± standard error (SE) except otherwise specified.

Hülsemann M.J, & Rasch B. (2021). Embodiment of sleep‐related words: Evidence from event‐related potentials. Psychophysiology, 58(8), e13824.

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Statistical Analysis of Experimental Data

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All statistical analyses were conducted with IBM Statistics for Windows version 26 (SPSS, Inc., IBM company) or MATLAB (R2018b, The MathWorks, Inc.), except otherwise specified. Significance levels were set to ptwo-tailed < .05. Violations of sphericity were appropriately corrected by Greenhouse-Geisser εGG if εGG ≤ .75 (Box, 1954; Geisser and Greenhouse, 1958) or Huynh-Feldt εHF if εGG > .75 (Huynh and Feldt, 1976) . Post hoc t-tests were conducted for further analyses of significant results. The measure of effect size ω² is reported for significant results (Hays, 1994) . It is an estimator for the population effect Ω², which specifies the systematic portion of variance in relation to the overall variance (Rasch et al., 2014a (Rasch et al., , 2014b)) . All power calculations were done with G*Power (version 3.1.9.4, Faul et al., 2007) or MATLAB (R2018b). The sample was balanced according to starting time of the experimental session, order of positions, mapping of response keys, and sex. These factors were therefore controlled for and not included in statistical analyses. Data is always presented as mean ± standard error (SE) except otherwise specified.

Hülsemann M.J., & Rasch B. (2020). Embodiment of sleep-related words: evidence from event-related potentials.

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