Spss version 19

Manufactured by IBM

Sourced in United States, Japan, United Kingdom, Germany, India, China, Austria, Australia

SPSS version 19.0 is a statistical software package developed by IBM. It provides tools for data analysis, data management, and data visualization. The core function of SPSS is to enable users to conduct a wide range of statistical analyses, including regression, correlation, and non-parametric tests.

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Lab products found in correlation

Prism 5, by GraphPad (48 mentions) Sas version 9, by SAS Institute (33 mentions) Prism 8, by GraphPad (31 mentions) Prism 6, by GraphPad (27 mentions) Prism 7, by GraphPad (25 mentions) Prism 4, by GraphPad (9 mentions) Prism version 5, by GraphPad (7 mentions) R version 3, by R Project for Statistical Computing (7 mentions) Prism 9, by GraphPad (6 mentions) Prism version 6, by GraphPad (5 mentions) Prism software, by GraphPad (5 mentions) Sas 9, by SAS Institute (5 mentions) R software version 3, by R Project for Statistical Computing (5 mentions) Origin 8, by OriginLab (5 mentions) Stata version 12, by StataCorp (4 mentions) Prism version 7, by GraphPad (4 mentions) Originpro 9, by OriginLab (4 mentions) Version 12, by MedCalc (4 mentions) Version 15, by MedCalc (4 mentions) Prism version, by GraphPad (4 mentions)

4 907 protocols using spss version 19

Statistical Analysis of Experimental Data

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Each measurement was conducted in triplicate. Significance among samples was determined using one-way ANOVA with Duncan’s Multiple Range Test by SPSS version 19.0 software (SPSS Inc., Chicago, IL, USA) with p-value being set as 0.05. Data were shown as mean ± standard deviation. Correlations among different indicators were carried out using Pearson’s correlation coefficient in bivariate linear correlations using SPSS version 19.0 software (SPSS Inc., Chicago, IL, USA).

Liu X.Y., Chen W, & Wang C.T. (2023). Effect of Lipase and Phospholipase A1 on Foaming and Batter Properties of Yolk Contaminated Egg White. Foods, 12(6), 1289.

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Multivariate Analysis of Metabolomic Data

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SPSS version 19.0 software (SPSS Inc., Chicago, IL, USA) was used to analyze the data from the MWM test, which were evaluated by the analysis of variance, followed by Tukey's multiple comparison test. The results are expressed as mean ± standard deviation (SD), and differences are considered statistically significant at p < 0.05.
The UPLC/MS data from the brain samples were analyzed with Markerlynx within Masslynx software version 4.1 (Waters Corp.). The retention time and m/z were calculated for each peak. Principal components analysis (PCA) was used to select distinct variables, and Student t test was used to evaluate statistically significant differences between potential biomarkers (SPSS version19.0 software; SPSS Inc.). Statistical significance was accepted if p < 0.05.

Li N., Liu Y., Li W., Zhou L., Li Q., Wang X, & He P. (2015). A UPLC/MS-based metabolomics investigation of the protective effect of ginsenosides Rg1 and Rg2 in mice with Alzheimer's disease. Journal of Ginseng Research, 40(1), 9-17.

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Salinity Effects on Halophytic Aquatic Plants

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For H. stipulacea, a one-way ANOVA with repeated measures (IBM SPSS version 19) with a Greenhouse-Geisser correction was performed to identify the effects of each salinity treatment on the physiological data such as leaf number, leaf area, shoot number, blade length, quantum yield, and chlorophyll content (treated as dependent variables) for measurements at different time-points. Post hoc mean comparisons with the Tukey–Kramer HSD test were performed to identify specific salinity or time points which exhibited significant differences. For measurements of biomass and C/N ratios that were taken only at the last time point (day 60), a one-way ANOVA (SPSS version 19) was performed. Since the V. americana experiment, included only control (1 PSU) and hypersalinity (12 PSU), pairwise comparisons were performed (control vs. hypersalinity) to find the specific time point which displayed significant differences. All the treatment effects were considered statistically significant at P < 0.05. Normality of data was tested using Shapiro–Wilk’s test and QQ plots. Homogeneity of variances was tested using the Levene’s test.

Oscar M.A., Barak S, & Winters G. (2018). The Tropical Invasive Seagrass, Halophila stipulacea, Has a Superior Ability to Tolerate Dynamic Changes in Salinity Levels Compared to Its Freshwater Relative, Vallisneria americana. Frontiers in Plant Science, 9, 950.

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Dietary Threonine and Digestive Organ Development

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The growth and development of digestive organs in juvenile blunt snout bream fed with the graded levels of dietary Thr for 9 weeks were calculated using the following formulas: * Adopted from our previous study (5) , and data are means of three replicates. Tryptophan could not be measured because of its degradation during acid hydrolysis. TOR, target of rapamycin; 4E-BP2, eukaryotic translation initiation factor 4E-binding protein 2; IGF-I, insulin-like growth factor-I.
Statistical analysis was performed using SPSS version 19 (SPSS, Inc.). All data were subjected to one-way ANOVA followed by least significant difference multiple comparisons. Significant differences among group means as well as between intestinal segment (PI, MI and DI) means were further compared using Duncan's multiple range tests. P, 0•05 was considered statistically significant. Results are expressed as means with their standard errors. The relationship between dietary Thr and the growth and development of digestive organs and activities of digestive enzymes, as well as gene expression levels of digestive enzymes, TOR, 4E-BP2 and IGF-I in the hepatopancreas, respectively, were subjected to a second-degree polynomial regression analysis (44) and the quadratic regression model using SPSS version 19.

Habte-Tsion H.M., Ren M., Liu B., Xie J., Ge X., Chen R., Zhou Q, & Pan L. (2015). Threonine affects digestion capacity and hepatopancreatic gene expression of juvenile blunt snout bream (Megalobrama amblycephala). The British journal of nutrition, 114(4).

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Organ Chimerism Analysis in Igfr1 Mice

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Upon log transformation, organ : blood ratios and % chimerism measurements achieved normal distribution, justifying the use of parametric statistics where indicated. Analysis of variance (ANOVA) was undertaken with CT : blood ratio as the dependent variable, and embryonic day (E10.5, E11.5, E12.5, and E18.5) and Igfr1 genotype (WT and null) as two between-subjects factors. Analysis was performed with SPSS version 19 software. The few embryos with no chimerism (0%) or high blood chimerism (>40%) were excluded from analysis.
When n ≥ 5, unpaired two tailed t-tests were performed, as indicated in the figures, using Prism 7 software. When n < 5, unpaired Mann-Whitney U non-parametric tests were performed, as indicated in the figures, using SPSS version 19 software. Chimerism and organ : blood ratios were log transformed if analyzed with a parametric test. Flow cytometry data was analyzed using FlowJo 10.6.2.

Nishimura T., Suchy F.P., Bhadury J., Igarashi K.J., Charlesworth C.T, & Nakauchi H. (2020). Generation of Functional Organs Using a Cell Competitive Niche in Intra-and Inter-species Rodent Chimeras. Cell stem cell, 28(1), 141-149.e3.

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Sensory and Instrumental Analysis of Seaweed Samples

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The statistical analysis of instrumental data was performed using the SPSS version 19.0 (SPSS, IBM, USA). Seaweed samples were grouped for analysis according to the treatment (raw or cooked seaweed). The normality of results was analyzed by the Shapiro–Wilk test, and the Levene test was applied to determine the homogeneity of the variance. Significance of instrumental data (p = 0.05) was evaluated by the t-Student or Mann–Whitney U method. Results of the ranking descriptive analysis (RDA) were analyzed using the Generalized Procrustes Analysis (GPA) and the XLSTAT 2015.6 software (Mamede and Benassi 2016 (link)). Data were arranged as nine individual matrices (one per judge) of six lines (corresponding to sample treatments) and 25 columns (descriptors). Correlations of instrumental and sensory data were performed using SPSS version 19.0 (SPSS, IBM, USA), by the Spearman method with a significance of p = 0.05.

Figueroa V., Bunger A., Ortiz J, & Aguilera J.M. (2022). Sensory descriptors for three edible Chilean seaweeds and their relations to umami components and instrumental texture. Journal of Applied Phycology, 34(6), 3141-3156.

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Bacterial Diversity Analysis via DGGE

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Quantity One software (Version 4.6.2, Bio-RAD) was used to analyze the DGGE band profile. Each DGGE band was digitized via auto detection of peak density and transferred into corresponding data, and then the diversity indices were calculated to investigate the dominant bacterial communities and to determine the variation among A–L individuals. Biodiversity indices, such as the Shannon-Wiener index (H′), Richnessw (S), and Evenness (E_H), were calculated from the DGGE patterns according to the following equations:

\begin{array}{l} H^{'} = - \sum_{i = 1}^{s} p_{i} In p_{i}_{} = - \sum_{i = 1}^{s} (N_{i} / N) In (N_{i} / N) \\ E_{H} = H / H_{\max} = H / In S \end{array}

Where S is the number of bands in a lane, N_i is the peak density of the ith band and N is the total peak density of all bands in a lane. The significant differences between developmental stage (nymph and adult) or gender (femal and male) were analyzed by t-test in SPSS Version 19.0 (SPSS Inc. Chicago, IL). In order to further compare the similarity among 12 individuals, ‘1’ and ‘0’ matrix was formed according to the presence and absence of DGGE band in A–L, and the dendrogram was construct based on the similarity index with Pearson Correlation method using SPSS Version 19.0.

Zhou W., Nan X., Zheng Z., Wei C, & He H. (2015). Analysis of Inter-Individual Bacterial Variation in Gut of Cicada Meimuna mongolica (Hemiptera: Cicadidae). Journal of Insect Science, 15(1), 131.

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Hepsin and HBx Expression in HCC

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Experimental data were presented as means ±SEM of at least three independent replicates. Analyses were performed in GraphPad Prism 5, and groups were compared using a two-tailed Student's t-test. Differences in protein expression between paired HCC and non-tumor liver tissue samples were assessed by Wilcoxon ranks test in SPSS version 19.0. The correlation between hepsin/HBx and C3 staining obtained by immunohistochemistry was determined using Spearman's rank correlation test in SPSS version 19.0. *P < 0.05, **P < 0.01 and ***P < 0.001 were considered significant.

Zhang M., Gu J, & Zhang C. (2016). Hepatitis B virus X protein binding to hepsin promotes C3 production by inducing IL-6 secretion from hepatocytes. Oncotarget, 7(7), 7780-7800.

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Aging and Tempo-Rhythm Effects on Response Time

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The experiment consisted of a 2_group (Young, Old) × 3_tempo (Fast, Moderate, Slow) × 2_rhythm (Regular, Irregular) mixed factor design. The group variable was considered a between-participants factor, while the tempo and rhythm variables were within-participants factors. Our primary outcome variable was the mean RT for correct responses in each condition. The RT signifies the duration from the initiation of the target presentation to the motor response. For each participant, RTs exceeding three standard deviations from the mean were excluded from the analysis, calculated separately for each dependent variable (tempo and rhythm) [30 (link)]. The proportion of excluded trials due to outliers was found to be similar between the younger group (1.36% and the older group (1.52%). According to the results of the two-sample t-tests: t (34) = 0.456, p = 0.488, no statistically significant difference was observed between the two groups. To account for potential violations of sphericity, Greenhouse-Geisser corrections were applied, adjusting the degrees of freedom accordingly. The statistical significance level was set at p < .05, and the effect size (η_p²) estimates are also provided. All statistical analyses were carried out utilizing the SPSS version 19.0 software (SPSS, Tokyo, Japan), ensuring consistency throughout the study.

Xu Z., Si W., Ren Y., Jiang Y, & Guo T. (2024). Effect of tempo on the age-related changes in temporal expectation driven by rhythms. PLOS ONE, 19(2), e0297368.

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Predictive Value of PLT-related Indicators in Cervical Cancer

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All statistical analyses were performed using SPSS version 19.0 software (Chicago, Illinois). The ROC analysis was performed to evaluate the predictive values of PLT-related indicators for resectable cervical cancers and determine the best cutoff values of PLT-related indicators. For analysis of survival data, Kaplan-Meier curves were constructed, and statistical analysis was carried out using the log-rank test. The associations between blood parameters status and clinicopathologic features were explored by the χ² tests. Univariate and multivariate Cox regression analysis model was employed to identify the independent risk factors associated with cervical cancer. All values of P < .05 were considered statistically significant.

Wang J.M., Wang Y., Huang Y.Q., Wang H., Zhu J., Shi J.P., Li Y.F., Wang J.J, & Wang W.J. (2019). Prognostic Values of Platelet-Associated Indicators in Resectable Cervical Cancer. Dose-Response, 17(3), 1559325819874199.

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