Spss software version 18

Manufactured by IBM

Sourced in United States, United Kingdom, China

SPSS software version 18.0 is a statistical analysis software package developed by IBM. It provides tools for data management, analysis, and presentation. The software is designed to assist users in managing, analyzing, and visualizing data effectively.

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Lab products found in correlation

Prism 6, by GraphPad (9 mentions) Prism 5, by GraphPad (8 mentions) Sas version, by SAS Institute (2 mentions) R software version 3, by R Project for Statistical Computing (2 mentions) Stata version 11.1 for windows, by StataCorp (2 mentions) Prism 7, by GraphPad (2 mentions) Centricity pacs software, by GE Healthcare (1 mentions) Bc 420ma, by Tanita (1 mentions) Jmp software version 16, by SAS Institute (1 mentions) Bovine serum albumin (bsa), by Merck Group (1 mentions) Prism software, by GraphPad (1 mentions) Prism v8, by GraphPad (1 mentions) Statistical software version 16, by MedCalc (1 mentions) R statistical software package version 3, by R Project for Statistical Computing (1 mentions) Excel 2007, by IBM (1 mentions) Trizol reagent, by Transgene (1 mentions) Hifair 2 1st strand cdna synthesis supermix for qpcr gdna digester plus, by Yeasen (1 mentions) Spss version 18, by IBM (1 mentions) Stata software version 13, by StataCorp (1 mentions) Origin 8, by OriginLab (1 mentions)

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SPSS version 18.0 (3439 citations) SPSS version (3082 citations) SPSS 18.0 (998 citations) SPSS software (version (809 citations) SPSS software 18.0 (72 citations) SPSSTM (8 citations) Version 18.0 (7 citations) SPSS softwares (4 citations) SPSSS software, version 18 (2 citations)

897 protocols using spss software version 18

Skin Hydration with Single Treatment

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Sample size calculation was performed with a hypothesis to find a positive difference in skin hydration between treated and control sites 24 hours after a single treatment of at least 20%. With an effect size of 0.6, an alpha value of 0.05, and a power of 80%, a total of at least 20 participants should be enrolled to detect this difference between the active treated sites vs the control.
The SPSS software version 18 (SPSS, Inc, Chicago) was used for statistical analysis. The repeated measure ANOVA test was used for the analysis of the study outcomes in order to compare treated sites vs the control at each time point, as well as skin hydration and TEWL in several follow‐up visits vs baseline. The statistical significance level was defined as P < .05.

Samadi A., Nasrollahi S.A., Rostami M.N., Rezagholi Z., Abolghasemi F, & Firooz A. (2021). Long‐term effects of two 24‐hour moisturizing products on skin barrier structure and function: A biometric and molecular study. Health Science Reports, 4(2), e308.

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Predictive Factors for NAFLD

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Statistical analyses were performed using the Statistical Package for the Social Sciences (SPSS) software, version 18 (SPSS Inc., Chicago, Illinois, USA). Statistical significance was defined as p<0.05. Results are given as mean±standard error (SE) and median [interquartile range (IQR)]. Variable distributions were assessed with the Kolmogorov–Smirnov normality test. Statistical comparison between groups was assessed by student’s t-test, the Mann–Whitney U test, or the Pearson chi-square test. Correlation analyses were performed using Spearman or Pearson’s coefficients to assess relationships of measures. Binary logistic regression analysis was used to determine the independent predictors of NAFLD.

Oğuz D., Ünal H.Ü., Eroğlu H., Gülmez Ö., Çevik H, & Altun A. (2016). Aortic flow propagation velocity, epicardial fat thickness, and osteoprotegerin level to predict subclinical atherosclerosis in patients with nonalcoholic fatty liver disease. Anatolian Journal of Cardiology, 16(12), 974-979.

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Seroprevalence of Zoonotic Infections

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The sample size was calculated 400, according to the formula: n = Z²_1−α/2p(1 − p)/d² Results were shown as positive or negative in comparison with cut off. Cut off was estimated by this formula: cut off = X̅ + 2SD. Data were analyzed by SPSS software, version 18 (Chicago, IL, USA). Antibodies level (IgG, IgM) and correlations with variables such as place of residence, profession, education level, contact with pets specially cat, consumption of raw vegetables and undercooked meat and receiving blood products were evaluated.

MOHAMMADI A., SHOJAEE S., SALIMI M., ZAREEI M., MOHEBALI M, & KESHAVARZ H. (2015). Seroepidemiological Study of Toxoplasmosis in Women Referred to Arak Marriage Consulting Center during 2012–2013. Iranian Journal of Public Health, 44(5), 654-658.

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Iron Deficiency Treatment Outcomes

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Participants’ sociodemographic data, ferritin levels and documented rationale for measuring iron levels, suspected etiologies, treatment schedule, reasons for choosing IV treatment, and planned clinical and biological follow-up were analyzed descriptively using mean and/or percentages. SPSS software Version 18 (SPSS Inc., Chicago, IL, USA) was used for the analysis.

Varcher M., Zisimopoulou S., Braillard O., Favrat B, & Junod Perron N. (2016). Iron deficiency intravenous substitution in a Swiss academic primary care division: analysis of practices. International Journal of General Medicine, 9, 221-227.

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Comparing SBS Across Groups

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The data were analyzed using SPSS software version 18 (SPSS Inc, Chicago, IL, USA). Normal distribution of data was assessed using Kolmogorov–Smirnov test. One-way analysis of variance and Tukey's post hoc tests were used to compare SBS in the five groups. P < 0.05 was considered statistically significant.

Hatami M., Lotfi-Kamran M., Davari A, & Molazem M. (2021). Effect of different laser treatments on the shear bond strength of zirconia ceramic to resin cement. Dental Research Journal, 18, 56.

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Dietary Indices and Health Outcomes

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Chi-square tests or independent sample t-tests were applied for
comparison of categorical and continuous variables, respectively. Where the
distribution of continuous variables was not normal, Mann–Whitney test was used.
HEI, DASH, and Mediterranean Diet scores were categorized into quartile for
analyses. The composition of each index according to HEI, DASH and Mediterranean
Diet scores quartile was analyzed using one-way analysis of variance (ANOVA) to
compare continuous variables. In case of non-normal distribution, the
Kruskal–Wallis test was used. Linear regression test was used to examine the
relationship between different indicators with quantitative variables in both
healthy and patient groups. Also, logistic regression statistical test was used
to calculate the odds ratio (OR) and 95% confidence interval. If there were
confounding variables, we used analysis of covariance (ANCOVA). All data were
expressed as Mean ± standard deviation and SPSS software version 18 was used to
analyze the data. P-value less than .05 was considered as
significant.

Samadani M., Mansoori A., Haybar H., Haidari F, & Mohammadshahi M. (2022). Association Between Dietary Quality Indices and Atherosclerosis Risk: A Case-Control Study. Nutrition and Metabolic Insights, 15, 11786388221111934.

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Statistical Analysis of Normality

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Data normality was assessed by the Shapiro–Wilk test. In case of normality, the T-student test was applied. The non-parametric tests of Mann–Whitney and logistic regression were used to determine the relationships when the data were abnormal. Statistical significance was set at P < 0.05. Statistical analyses were performed using the SPSS software version 18 (SPSS, Chicago, IL, USA).

Halimi A., Mortazavi N., Memarian A., Zahedi M., Niknejad F., Sohrabi A, & Sarraf S.J. (2022). The relation between serum levels of interleukin 10 and interferon-gamma with oral candidiasis in type 2 diabetes mellitus patients. BMC Endocrine Disorders, 22, 296.

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Salivary Cortisol Changes in Soccer Match

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Shapiro Wilk-Test showed a normal distribution of data. All variables measured pre-and post-match were compared using student T-test for related samples. SalCC comparison between rest and match day was analyzed by repeated measures ANOVA, using hour of day (AM vs. PM) and condition (Rest vs. Match) as intra-subject factors. After a significant F-test differences among means were calculated with Bonferroni´s adjustment. Effect size (ES) was estimated and the results were based on the following criteria: trivial (0–0.19), small (0.20–0.49), medium (0.50–0.79) and large (≥0.80)[35 (link)]. Data from changes in pre-post-match values of SalCC, neuromuscular test battery, and percent body weight losses were analyzed using Pearson’s coefficient of correlation. Data are presented as mean and standard error of the mean (SEM); and the level of significance was set at P≤0.05. All the statistical analysis was done using SPSS software version 18 (SPSS Inc, Chicago, IL; USA).

López-Samanes Á., G. Pallarés J., Pérez-López A., Mora-Rodríguez R, & Ortega J.F. (2018). Hormonal and neuromuscular responses during a singles match in male professional tennis players. PLoS ONE, 13(4), e0195242.

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Statistical Analysis of Research Data

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The data were analyzed by SPSS software version 18 (SPSS Inc., Chicago, IL, USA) and chi-square and if necessary Fisher exact test were used to compare the variables. A P values < 0.05 was considered as statistically significant.

ZIAEE M., SHARIFZADEH G., NAMAEE M.H, & FEREIDOUNI M. (2014). Prevalence of HIV and Hepatitis B, C, D Infections and Their Associated Risk Factors among Prisoners in Southern Khorasan Province, Iran. Iranian Journal of Public Health, 43(2), 229-234.

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Evaluating Treatment Outcomes with Statistics

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Statistical analysis was performed using SPSS software version 18 (SPSS, Inc., Chicago, IL, USA). Given the normal distribution of data, paired-samples t-test was used for pre-and post-treatment comparisons. Bivariate associations between baseline and post-treatment values of the evaluated parameters as well as their changes during the course of the study were assessed using Pearson's (in case of normally distributed data) or Spearman's (in case of non-normally distributed data) correlation coefficients. P < 0.05 were considered as statistically significant.

Jadidi K., Panahi Y., Ebrahimi A., Mafi M., Nejat F, & Sahebkar A. (2014). Topical Cyclosporine A for Treatment of Dry Eye Due to Chronic Mustard Gas Injury. Journal of Ophthalmic & Vision Research, 9(4), 417-422.

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