Spss statistic software package

Manufactured by IBM

Sourced in United States

SPSS is a software package for statistical analysis. It provides tools for data manipulation, visualization, and advanced statistical modeling. SPSS is designed to help users analyze and interpret data, identify trends, and make informed decisions.

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6 protocols using spss statistic software package

Statistical Analysis of Experimental Data

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Statistical analysis was performed with SPSS statistic software package (Version 11.0). Differences of continuous variables between the three groups were examined using one-way analysis of variance (ANOVA). Categorical data were analyzed with a Pearson's chi-squared test (χ²test). Correlation analysis was performed using Spearman’s rank correlation coefficient test. P values less than 0.05 are statistically significant.

Cao M., Ruan L., Huang Y., Wang J., Yan J., Sang Y., Li S., Wang G, & Wu X. (2020). Premature CD4+ T Cells Senescence Induced by Chronic Infection in Patients with Acute Coronary Syndrome. Aging and Disease, 11(6), 1471-1480.

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Health Anxiety Level Analysis

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Statistical analyses were performed with SPSS statistic software package (version 17.0, SPSS Inc., Chicago, IL, USA). Data are presented as means with a standard deviation (M ± SD) for continuous variables and categorical variables are presented as frequency counts and percentages. A Kolmogorov-Smirnov test was used to determine the homogeneity of the data. Independentsamples t-test and One-way ANOVA tests were used to determine whether the participants' health anxiety level varied in terms of descriptive variables. The signifi cance level was fi xed at 0.05.

Ozen G., Koc H, & Aksoy C. (2020). Health anxiety status of elite athletes in COVID-19 social isolation period. Bratislavske lekarske listy, 121(12).

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Statistical Analysis of Experimental Data

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All data are expressed as the mean ± SD, and one-way ANOVA was used for multiple group comparisons. All statistical analyses were performed using GraphPad Prism software (version 7.0, La Jolla, CA) and SPSS statistic software package version 15.0 (Chicago, IL, USA). P values < 0.05 were considered statistically significant.

Xiong J., Ji B., Wang L., Yan Y., Liu Z., Fang S., Wu M., Wang Y, & Song J. (2019). Human Adipose-Derived Stem Cells Promote Seawater-Immersed Wound Healing by Activating Skin Stem Cells via the EGFR/MEK/ERK Pathway. Stem Cells International, 2019, 7135974.

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Comparative Statistical Analysis of Clinical and Laboratory Parameters

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Student t-test or two-sided Fisher’s exact test, as appropriate, were performed for comparisons of various clinical and laboratory parameters among groups. Statistical analysis was performed with SPSS statistic software package (version 15 SPSS Inc., Chicago, IL). A value of P ≤ 0.05 was considered statistically significant.

Zhou T., Cheng J., Karrs J., Davies-Hill T., Pack S.D., Xi L., Tyagi M., Kim J., Jaffe E.S., Raffeld M, & Pittaluga S. (2022). Clinicopathological and Molecular Characterization of Epstein–Barr Virus-Positive Plasmacytoma. The American journal of surgical pathology.

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IBD Biomarker Quantification Protocol

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Data are presented as the mean ± standard error of the mean (SEM). Statistical significance was generated for the healthy group compared with IBD recovered and IBD-patients by one-way analysis of variance (ANOVA) with Fisher's LSD test. T-test used for comparison between healthy and total IBD. SPSS statistic software package was used (version 20. 0, IBM Corporation, New York, NY, USA). P-value of P<0.05 were considered significant.

Miri S.T., Sotoodehnejadnematalahi F., Amiri M.M., Pourshafie M.R, & Rohani M. (2022). Comparison of the prevalence of bacteriocin encoding genes in Lactobacillus spp. isolated from fecal samples of healthy volunteers, IBD-patient and IBD-recovered. Iranian Journal of Microbiology, 14(2), 219-226.

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Metabolite Profile Analysis

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The abundance values of both platforms were normalized by fresh weight and then log2 transformed. All the statistical analyses were performed with the IBM SPSS statistic software package 20 (see text footnote 5). The univariate analysis was performed with a one-way ANOVA for each compound followed by Duncan’s post hoc test (p < 0.05). The multivariate analysis was performed with a principal component analysis on log2 transformed and mean centered value with GeneMaths XT version 2.12 software.

Paupière M.J., Tikunov Y., Schleiff E., Bovy A, & Fragkostefanakis S. (2020). Reprogramming of Tomato Leaf Metabolome by the Activity of Heat Stress Transcription Factor HsfB1. Frontiers in Plant Science, 11, 610599.

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