Spss statistical software

Manufactured by IBM

Sourced in United States, Japan, United Kingdom, Belgium, Austria, Australia, Spain

SPSS is a comprehensive statistical software package that enables data analysis, data management, and data visualization. It provides a wide range of statistical techniques, including descriptive statistics, bivariate analysis, predictive analytics, and advanced modeling. SPSS is designed to help users efficiently manage and analyze large datasets, making it a valuable tool for researchers, statisticians, and data analysts.

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Lab products found in correlation

Spss statistics for window, by IBM (43 mentions) Prism software, by GraphPad (33 mentions) Prism 8, by GraphPad (27 mentions) Prism 5, by GraphPad (21 mentions) Statistical software, by MedCalc (17 mentions) Prism 6, by GraphPad (17 mentions) Prism 7, by GraphPad (16 mentions) Spss statistic, by IBM (16 mentions) R software, by R Project for Statistical Computing (13 mentions) Prism 9, by GraphPad (12 mentions) R version 3, by R Project for Statistical Computing (7 mentions) Spss version 22, by GraphPad (6 mentions) Stata software, by StataCorp (6 mentions) Matlab, by MathWorks (6 mentions) Software 6, by GraphPad (5 mentions) Software, by MedCalc (5 mentions) Stata, by StataCorp (5 mentions) R statistical software, by R Project for Statistical Computing (5 mentions) Spss software, by IBM (4 mentions) Sas software, by SAS Institute (4 mentions)

4 399 protocols using spss statistical software

Evaluating Hatchability and Immune Response

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The hatchability of fertilised eggs was analysed using binary logistic regression with the SPSS statistical software (version 18.0, SPSS Inc.). All other data were analysed by one-way ANOVA and polynomial regression analysis using the general liners model with the SPSS statistical software (version 18.0). Pearson's correlation analysis test (SPSS statistical software; version 18.0) was used to analyse the relationship between the expression of IL-2, IL-4 and IL-6 with that of in vivo immune response and epigenetic changes. Significant differences between the treatments were determined using Fisher's least significant difference test. Results were presented as means with their standard errors. Differences in treatment means were considered significant at P < 0•05, and instances in which 0•05 < P < 0•10 were considered trends.

Li S., Zhi L., Liu Y., Shen J., Liu L., Yao J, & Yang X. (2016). Effect of in ovo feeding of folic acid on the folate metabolism, immune function and epigenetic modification of immune effector molecules of broiler. The British journal of nutrition, 115(3).

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Salt Stress Tolerance in Transgenic Plants

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Salt stress treatments of transgenic plants overexpressing MfSTMIR, RNAi and M. truncatula Tnt1 mtstmir seedlings were performed as described (de Lorenzo et al., 2007). Briefly, sterilized seeds were plated on 0.8% agarose medium; grown for 3 days at 4°C, followed by growth in the dark for 1 day at 24°C; and then transferred to Fahräeus medium without (mock) or with 100 mM NaCl (salt stress) for 3 weeks. The phenotype was photographed, and the etiolation rate in plants was investigated. The values are presented as the mean ± standard deviation. Tests for significance were conducted using Duncan's multiple range test with SPSS statistical software.
For transgenic Arabidopsis plants overexpressing MfSTMIR, salt stress treatments were performed as described (Shi et al., 2003). After germination on MS medium for 5 days, seedlings were subsequently grown on MS medium without (mock) or with 150 mm NaCl for 8 days. The phenotype was photographed, and the root length was determined. Tests for significance were conducted using the non‐parametric Kruskal−Wallis h test using SPSS statistical software.

Zhang R., Chen H., Duan M., Zhu F., Wen J., Dong J, & Wang T. (2019). Medicago falcata MfSTMIR, an E3 ligase of endoplasmic reticulum‐associated degradation, is involved in salt stress response. The Plant Journal, 98(4), 680-696.

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Stratification of Creatine Kinase Levels in Diagnosis

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We performed statistical analysis using SPSS statistical software (versionm27; SPSS, Chicago, IL). Categorical variables are presented as the number (percentage) of participants, and continuous variables are presented as the mean and SD; or, for those data with a skewed distribution, as the median (25th percentile, 75th percentile). The cohort was stratified into two groups according to the CK level at diagnosis: the CK_low group lower than two times of UNL, and the CK_high group no less than two times of UNL. Differences in patient characteristics between these strata were tested for statistical significance with the use of the chi‐square test or the Fisher exact test for categorical data and the Student t test or Mann–Whitney test for continuous variables. Frequency differences were compared using χ² test or Fisher's exact test, where appropriate. p values less than 0.05 were considered to indicate statistical significance. Data were analyzed using SPSS statistical software (version 27.0; SPSS; Chicago, IL), GraphPad Prism 9 and R studio.

Yue D., Jiao K., Xia X., Zhang J., Zhu B., Liu L., Du K., Gao M., Cheng N., Wang N., Luo S., Xi J., Lu J., Zhao C, & Zhu W. (2023). Diagnostic delay in late‐onset Pompe disease among Chinese patients: A retrospective study. JIMD Reports, 65(1), 39-46.

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Serum Biochemistry and Muscle Analysis

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The serum biochemistry and hormone indexes (n = 6) were statistically analyzed by one-way ANOVA with SPSS statistical software (Ver.20 for windows, SPSS), and Tukey–Kramer’s test was used to compare differences among the treatment groups. The muscle nutrients, fatty acid composition, and activity of the fatty metabolizing enzyme of muscle (n = 4) were statistically analyzed by T-test with SPSS statistical software (Ver.20 for windows, SPSS). All values were expressed as mean ± SE, P-value < 0.05 was considered to be significant and 0.05 ≤ P < 0.10 was considered as a tendency.

Chen H., Peng T., Shang H., Shang X., Zhao X., Qu M, & Song X. (2022). RNA-Seq Analysis Reveals the Potential Molecular Mechanisms of Puerarin on Intramuscular Fat Deposition in Heat-Stressed Beef Cattle. Frontiers in Nutrition, 9, 817557.

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Maize Parental Root Trait Analysis

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Differences in root traits between the two maize parental lines were analyzed by t-test using Excel software. For each root trait in the RIL family, the broad-sense heritability (h²) was calculated using SAS software (SAS Institute Inc., NC, USA) as described by Knapp et al., [57 (link)], and the distribution of each trait was analyzed using SPSS statistical software (SPSS, Inc., IL, USA). The Pearson correlation coefficients among traits in the RIL family were analyzed using SPSS statistical software.

Ju C., Zhang W., Liu Y., Gao Y., Wang X., Yan J., Yang X, & Li J. (2018). Genetic analysis of seedling root traits reveals the association of root trait with other agronomic traits in maize. BMC Plant Biology, 18, 171.

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Siglec-15 Expression Analysis in Oncology

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GraphPad Prism version 9.0 was used for graph drawing and statistical analyses. Additionally, using five cut-offs (optimal, ≥ 1%, ≥ 5%, and ≥ 25%, we respectively determined the distribution of Sigelc-15. Patients were classified as “Siglec-15 Low” and “Siglec-15 High” groups according to Youden index to achieve the optimal cut-offs. Kaplan–Meier curves were used and estimated by the log-rank test by R version 4.1.2 using survival package. Univariate and multivariate regression analyses was performed by Cox regression analysis by SPSS statistical software (version 26). Comparisons were performed using Wilcoxon test, Kruskal–Wallis test, and Chi-square test as appropriate. All statistics in association between Siglec-15 and clinical parameters were two-sided and analyzed through SPSS statistical software (version 26). Two-sided P-values less than 0.05 were considered significant.

Li B., Guo Y., Yi Y., Huang Z., Ren Y., Wang H, & Yang L. (2023). Non-spatial and spatial heterogeneity revealed a suppressive immune feature of Siglec-15 in lung adenocarcinomas. Journal of Translational Medicine, 21, 599.

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Metabolic Biomarkers for Fatty Liver

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Statistical differences among groups in terms of clinical data, plasma biochemistry, and plasma enzymes data, and ¹H NMR spectra of potential biomarkers from the differential metabolites were calculated by one way of analysis of variance (ANOVA) using SPSS statistical software (Version 11.0; SPSS, Inc., Chicago, IL, USA). A p values of <0.05 were considered to be statistically significant. Data were expressed as the mean±SD.
Receiver operating characteristic (ROC) curves were constructed for the ¹H NMR spectra data of the identified metabolites using SPSS statistical software. In this study, ROC curves were used to test the diagnostic value of the potential biomarkers from the differential metabolites of the fatty liver. Typically, area under the curve values greater than 0.8 and larger positive likelihood ratio values, which were calculated from the ROC analysis, indicate excellent predictive ability (Zhang et al., 2013 (link)).

Xu C., Sun L.W., Xia C., Zhang H.Y., Zheng J.S, & Wang J.S. (2015). 1H-Nuclear Magnetic Resonance-Based Plasma Metabolic Profiling of Dairy Cows with Fatty Liver. Asian-Australasian Journal of Animal Sciences, 29(2), 219-229.

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Urine mRNA Quantification and Analysis

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The absolute copy numbers of three mRNAs were normalized by microgram of total RNA amount from urine sample. Data were then log₁₀-transformed to reduce the deviation from normality in the two PCR systems prior to statistical analysis.
Statistical analyses were conducted using the Kruskall-Wallis and Mann Whitney tests for non-parametric data using SPSS statistical software (version 20; SPSS Inc., Chicago, IL, USA). Binary logistic regression and receiver operating characteristic (ROC) curve analysis were also performed with SPSS statistical software. A p-value less than 0.05 was considered statistically significant.

Seo J.W., Moon H., Kim S.Y., Moon J.Y., Jeong K.H., Lee Y.H., Kim Y.G., Lee T.W., Ihm C.G., Kim C.D., Chung B.H., Kim Y.H, & Lee S.H. (2017). Both absolute and relative quantification of urinary mRNA are useful for non-invasive diagnosis of acute kidney allograft rejection. PLoS ONE, 12(6), e0180045.

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Comparative Analysis of Treatment Effects

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All of the treatments were conducted with at least three replicates. The data in this study was recorded as the mean value ± standard deviation. The SPSS statistical software (Version 16.0) and one-way analysis of variance (ANOVA) were used to confirm the variability of the data and the validity of the results. Differences among the treatments were compared using Duncan’s multiple range tests at the 0.05 probability level. Correlations among the measured parameters were determined using the Pearson’s correlation coefficient by SPSS statistical software (Version 16.0).

Guo Q., Wang Y., Zhang H., Qu G., Wang T., Sun Q, & Liang D. (2017). Alleviation of adverse effects of drought stress on wheat seed germination using atmospheric dielectric barrier discharge plasma treatment. Scientific Reports, 7, 16680.

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Robust Statistical Analysis of Data

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All data are expressed as mean ± s.e.m. Data normality was assessed using SPSS statistical software. For normally distributed data, differences between groups were assessed using t-test, one, two and three-way ANOVA as appropriate using Minitab statistical software. Specific differences between groups were identified using Tukey post hoc tests. For non-normally distributed data, non-parametric tests were employed using SPSS statistical software. Differences were considered statistically significant where P < 0.05.

Czeczor J.K., Genders A.J., Aston-Mourney K., Connor T., Hall L.G., Hasebe K., Ellis M., De Jong K.A., Henstridge D.C., Meikle P.J., Febbraio M.A., Walder K, & McGee S.L. (2018). APP deficiency results in resistance to obesity but impairs glucose tolerance upon high fat feeding. The Journal of endocrinology, 237(3).

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