Spss pasw statistics version 18

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SPSS (PASW Statistics) version 18.0 is a software package used for statistical analysis. It provides tools for data manipulation, visualization, and advanced statistical modeling. The software is designed to handle a wide range of data types and offers a variety of statistical techniques, including regression analysis, factor analysis, and time series analysis.

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PASW Statistic (SPSS) 18.0 SPSS PASW Statistics 18.0 software SPSS (PASW) Version 18.0 SPSS Statistics version 18.0 PASW Statistic 18 PASW Statistics 18 SPSS/PASW 18 PASW version 18.0 SPSS Statistics 18.0 SPSS Statistics, version

9 protocols using spss pasw statistics version 18

Analyzing Factors Associated with Protein-Energy Wasting in CKD

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Data were expressed as a percentage for categorical variables and as the mean ± standard deviation (SD) for continuous variables. We used χ² test for categorical variables and the analysis of variance (ANOVA) for continuous variables to show differences in baseline characteristics according to CKD stage and PEW score. The covariates for PEW were selected according to our baseline data and other PEW studies of CKD. In logistic analyses of PEW, the associated factors were expressed as odds ratios (ORs) and 95% confidence intervals (CIs).
All statistical analyses were performed using the Statistical Package for the Social Sciences (SPSS) PASW statistics version 18.0 (IBM, Armonk, NY, USA).

Hyun Y.Y., Lee K.B., Han S.H., Kim Y.H., Kim Y.S., Lee S.W., Oh Y.K., Chae D.W, & Ahn C. (2016). Nutritional Status in Adults with Predialysis Chronic Kidney Disease: KNOW-CKD Study. Journal of Korean Medical Science, 32(2), 257-263.

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Evaluating Surgical Outcomes and Correlations

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All data were recorded on Microsoft Excel spreadsheets. Continuous variables were expressed as the mean ± standard deviation (SD) if meeting the normal distribution, or using the median. The Wilcoxon signed-rank test was used to estimate differences of IOP before and after surgery. The correlation between IOP and postoperative pain was evaluated by Pearson’s correlation test. For binary dependent variables, we used McNemar’s chi-squared test. Statistical analysis was performed using the SPSS PASW Statistics version 18.0 (IBM Corporation, Armonk, NY, USA). P-values less than 0.05 were considered statistically significant.

Yu J.G., Ni F., Xiang Y., Feng Y.F., Wang J, & Fu X.A. (2015). A prospective study on postoperative discomfort after 20-gauge pars plana vitrectomy. Clinical Ophthalmology (Auckland, N.Z.), 9, 1379-1384.

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Effect of Sugar-Sweetened Milk on Metabolic Outcomes

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All data are presented as means ± standard deviation (SD) and analyzed using SPSS-PASW Statistics version 18.0 (IBM, Armonk, NY, USA). Outcome measures were analyzed via a 5 (group type) × 2 (time) analysis of variance (ANOVA) with repeated measures. Significant time by group interactions resulted in two additional analyses. Firstly, the effects of all sugar sweetened milk combined was tested against the control milk using a 2 × 2 ANOVA with repeated measures. Secondly, all groups were treated individually—paired sample t-tests were performed for the pre and post values in each group separately and the difference between pre and post values were calculated and analyzed in a one way ANOVA with Tukey’s post hoc for pairwise comparisons, as necessary. Statistical significance was defined by p < 0.05.

Lowndes J., Sinnett S.S, & Rippe J.M. (2015). No Effect of Added Sugar Consumed at Median American Intake Level on Glucose Tolerance or Insulin Resistance. Nutrients, 7(10), 8830-8845.

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Age-Dependent Data Analysis

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All data were recorded in Microsoft Excel spreadsheets, and analyzed using the Kolmogorov-Smirnov test for normal distribution. Continuous variables were expressed as the mean ± standard deviation for those displaying normal distribution. One-way analysis of variance and the Kruskal-Wallis test were applied for the comparison of variance for normally and non-normally distributed data among the different age groups, respectively. Statistical analysis was performed using SPSS PASW Statistics Version 18.0 software (IBM Corporation, Armonk, NY, USA). P-values less than 0.05 were considered statistically significant.

Yu J.G., Zhong J., Mei Z.M., Zhao F., Tao N, & Xiang Y. (2017). Evaluation of biometry and corneal astigmatism in cataract surgery patients from Central China. BMC Ophthalmology, 17, 56.

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Statistical Analysis Methodology

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The data are presented as means ± standard error of mean (SEM), unless stated otherwise. Significance of the differences between the groups was evaluated by Student's unpaired t-test for normally distributed variables and by Mann-Whitney U test for nonnormally distributed variables or in case of a small sample size. For analyzing the correlation, Spearman's rho test was used. P < 0.05 was used as the limit for statistical significance. Analyses were performed using Excel (Microsoft, Redmond, WA, USA) or SPSS PASW Statistics (version 18) (IBM, Armonk, NY, USA) software.

Hyvönen M.E., Dumont V., Tienari J., Lehtonen E., Ustinov J., Havana M., Jalanko H., Otonkoski T., Miettinen P.J, & Lehtonen S. (2015). Early-Onset Diabetic E1-DN Mice Develop Albuminuria and Glomerular Injury Typical of Diabetic Nephropathy. BioMed Research International, 2015, 102969.

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Regression Analysis of Purposive Walking

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Regression analyses examined separately the relationship between UDB- and CBD-distance and the amount of purposive walking (log₁₀-minutes, because of skewing), adjusting for covariates. Follow-up analyses assessed whether Walk Score® mediated the relationship between the outcome of purposive walking and each of UDB- and CBD-distance. Mediation was tested using the asymmetrical distribution of products test,^{40 (link)} which multiplies the unstandardized coefficients of the two paths that determine the mediating pathway and estimates a corresponding SE. If the 95% CI for this product does not include zero, then mediation is assumed. Analyses were conducted using SPSS/PASW Statistics, version 18 (IBM, Endicott NY) and Mplus, version 7.0 (Muthén & Muthén, Los Angeles CA).

Brown S.C., Lombard J., Toro M., Huang S., Perrino T., Perez-Gomez G., Plater-Zyberk E., Pantin H., Affuso O., Kumar N., Wang K, & Szapocznik J. (2014). Walking and Proximity to the Urban Growth Boundary and Central Business District. American journal of preventive medicine, 47(4), 481-486.

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Statistical Analysis of Research Data

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The SPSS PASW Statistics version 18.0 (SPSS, Armonk, New York, NY, USA) and GraphPad Prism version 5.0 (GraphPad Software, San Diego, CA, USA) were used to analyze data and construct graphs, respectively.

Liu Y., Tang Y., Tang X., Wu M., Hou S., Liu X., Li J., Deng M., Huang S, & Jiang L. (2021). Anti-Toxoplasma gondii Effects of a Novel Spider Peptide XYP1 In Vitro and In Vivo. Biomedicines, 9(8), 934.

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Survival Analysis of Clinical Outcomes

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Statistical analysis was carried out using the Statistical Package for Social Sciences (SPSS) PASW statistics version 18.0 (SPSS Inc., Chicago, Illinois, USA). Parametric tests were used for normal data and nonparameteric tests for nonnormally distributed data, and significance was set at P ≤ 0.05. The Kaplan–Meier predicted survival method was used to generate survival curves with 95% confidence intervals (CIs) and to determine predicted cumulative survival at 7 years.

Akrawi H., Hossain F.S., Niculescu S., Hashim Z., Ng A.B, & Shetty A. (2016). Midterm results of 36 mm metal-on-metal total hip arthroplasty. Indian Journal of Orthopaedics, 50(3), 256-262.

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Statistical Analysis Methods for Experimental Data

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The Prism statistical software package (version 7.0; GraphPad Software Inc., USA) and Statistical Package for Social Sciences version 18.0 (SPSS PASW Statistics version 18.0; SPSS Inc., USA) were used for statistical analyses. For data with normal distribution, the differences were assessed with unpaired t-test (two groups), or one-way ANOVA and Tukey’s test (multiple groups). For data with non-normal distribution, group comparisons were performed by Mann–Whitney U test (two groups) or kruskal–wallis H test (multiple groups). A two-sided P < 0.05 was used to indicate statistical significance. All experiments were performed at least three times.

Zhang J., Liu K., Zhang G., Ling N, & Chen M. (2022). Interleukin-17A pretreatment attenuates the anti-hepatitis B virus efficacy of interferon-alpha by reducing activation of the interferon-stimulated gene factor 3 transcriptional complex in hepatitis B virus-expressing HepG2 cells. Virology Journal, 19, 28.

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