Spss ver 20

Manufactured by IBM

Sourced in United States, Austria, Japan

SPSS ver. 20.0 is a software package for statistical analysis. It provides tools for data management, analysis, and presentation. The core function of SPSS is to enable users to perform a variety of statistical tests and analyses on data sets.

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Lab products found in correlation

Sas ver 9, by SAS Institute (3 mentions) Prism 5.0c software, by GraphPad (2 mentions) Rest 2009, by Qiagen (2 mentions) Sas 9, by SAS Institute (2 mentions) Amos ver 18, by IBM (1 mentions) Sigmaplot ver 12, by Grafiti LLC (1 mentions) Statistical package for the social science, by IBM (1 mentions) Stata statistical software, by StataCorp (1 mentions) Stata 13, by StataCorp (1 mentions) Sas stat 9, by SAS Institute (1 mentions) Microsoft excel 2013, by IBM (1 mentions) Luminaris higreen qrt pcr master mix, by Thermo Fisher Scientific (1 mentions) Trizol reagent, by Thermo Fisher Scientific (1 mentions) Cfx connect real time pcr detection system, by Bio-Rad (1 mentions) Sas ver 9, by IBM (1 mentions) Prism 5, by GraphPad (1 mentions) Pcp unc 15, by Hu-Friedy (1 mentions) Sigmaplot ver 10, by Grafiti LLC (1 mentions) Prism ver, by GraphPad (1 mentions) Spss statistical software ver 20, by IBM (1 mentions)

Close spelling variants of this product

SPSS 20.0 (6611 citations) SPSS Statistics ver. 20.0 (390 citations) SPSS software ver. 20.0 (84 citations) SPSS for Windows ver. 20.0 (64 citations) SPSS Statistics for Windows ver. 20.0 (32 citations) SPSS ver. 20.0 for Windows (26 citations) SPSS statistical software ver.20.0 (17 citations) SPSSTM (8 citations) SPSS for Windows software (ver. 20.0; (7 citations) SPSS Statistics ver. 20.0 for Windows (5 citations)

676 protocols using spss ver 20

Mobile App Acceptance for Obesity Management

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The subjects' demographic information, length of smartphone use, prior experience of obesity management, and prior experience of using an MHS app were analyzed for descriptive statistics using SPSS ver. 20.0 software (IBM SPSS, Armonk, NY, USA).
Descriptive statistics of the observed variables for mobile obesity-management app acceptance factors were analyzed for frequency, average, and standard deviation using SPSS ver. 20.0, and the reliability of the instrument was assessed using Cronbach's alpha. The correlations between the six acceptance factors were analyzed using Pearson correlation coefficients.
The MHS acceptance model was analyzed by path analysis using AMOS ver. 20.0 (IBM SPSS). The goodness of fit of a hypothetical model constructed based on the TAM was evaluated with the various goodness-of-fit indices including chi-square (χ²) statistics, the goodness-of-fit index (GFI), and the normed fit index (NFI). The cutoff for statistical significance was set at p < 0.05.

Jeon E, & Park H.A. (2015). Factors Affecting Acceptance of Smartphone Application for Management of Obesity. Healthcare Informatics Research, 21(2), 74-82.

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Statistical analysis

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We used the SPSS ver. 20.0 (IBM Corp., Armonk, NY, USA) for all data analysis. The data were expressed as mean ± standard deviation. We used the student t-test to evaluate the data, and the term "statistically significant" was used to show p<0.05 for sperm parameters and chemical tests.

Ghasemi-Esmailabad S., Talebi A.H., Talebi A.R., Amiri S., Moshrefi M, & Pourentezari M. (2022). The effects of morphine abuse on sperm parameters, chromatin integrity and apoptosis in men. JBRA Assisted Reproduction, 26(3), 444-449.

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Predictors of Mortality in Cohort Study

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Continuous variables were presented as median and interquartile ranges (IQRs), and categorical variables were presented as numbers and percentages. The categorical variables were compared using the chi-square test when appropriate; otherwise, Fisher’s exact test was used. Continuous variables were compared using the Wilcoxon rank-sum test based on the distribution. Modified Poisson regression analysis was performed to estimate the OR. This method has been proposed as an alternative to log binomial models when convergence is a problem (as was the case in this study). We used the receiver operating characteristic (ROC) curve and AUC to evaluate the prognostic factors predicting mortality. Statistical significance was defined as P≤0.05. All statistical analyses were performed using IBM SPSS ver. 20.0. (IBM Corp.) and Stata ver. 14.2 (StataCorp.).

Lee K., Ryu D., Kim H., Park S., Lee S., Park C., Kim G., Kim S, & Lee N. (2023). Selection of appropriate reference creatinine estimate for acute kidney injury diagnosis in patients with severe trauma. Acute and Critical Care, 38(1), 95-103.

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Cryopreservation Effects on Cell Viability

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All analyses were performed using IBM SPSS ver. 20.0 (IBM Corp., Armonk, NY, USA). Data are expressed as mean and standard deviation or as absolute numbers and percentages. The paired-samples t-test was used to compare results before freezing and after thawing. The chi-square test was used to compare the ratios of variables. Comparisons between groups were evaluated by the independent-samples t-test and analysis of variance (the Tukey test). Although p<0.05 was initially considered as the cutoff for statistical significance, we decided to select a cutoff p-value of ≤0.001 to ensure results of high significance.

Le M.T., Nguyen T.T., Nguyen T.T., Nguyen T.V., Nguyen T.A., Nguyen Q.H, & Cao T.N. (2019). Does conventional freezing affect sperm DNA fragmentation?. Clinical and Experimental Reproductive Medicine, 46(2), 67-75.

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Analysis of Familial History in Colorectal Cancer

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Baseline patient characteristics were analyzed with descriptive statistics. Comparisons of demographic, clinical, and pathologic variables according to the FH were done using Student’s t-test for continuous variables and Pearson’s χ² test for categorical variables. The survival analysis was done using Kaplan–Meier curves and the log-rank test. Cox proportional hazards regression was used to determine the simultaneous impact of FH and potential confounders on OS and DFS. Tests of interactions between FH and potentially modifying covariates were assessed by entering the cross product of FH and the covariate of interest. A logistic regression analysis was used to evaluate the colorectal adenoma incidence rate with adjustment for various confounders.
A value of P < 0.05 was considered significant. All statistical analyses were conducted using IBM SPSS ver. 20.0 (IBM Corp., Armonk, NY, USA).

Park Y., Park S.J., Cheon J.H., Kim W.H, & Kim T.I. (2019). Association of Family History With Cancer Recurrence, Survival, and the Incidence of Colorectal Adenoma in Patients With Colorectal Cancer. Journal of Cancer Prevention, 24(1), 1-10.

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Statistical Analysis of Biochemical Parameters

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All analyses were performed using IBM SPSS ver. 20.0 (IBM Corp., Armonk, NY, USA). All data were expressed as mean and standard deviation. Comparisons of the groups were performed with the nonparametric Mann-Whitney U-test. Correlations between the parameters were assessed using the Spearman correlation test. Differences in the groups' biochemical parameters were analyzed using the independent-samples t-test. A p-value<0.05 was considered to indicate statistical significance.

Uyanikoglu H., Hilali N.G., Yardimciel M, & Koyuncu I. (2018). A new biomarker for the early diagnosis of ovarian torsion: SCUBE-1. Clinical and Experimental Reproductive Medicine, 45(2), 94-99.

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Donor Age Impact on Graft Survival

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At first, Cox proportional hazard regression analysis was used to assess the relationship between baseline factors and graft survival. After confirming the influence of donor age on graft survival, we compared the baseline characteristics of two groups according to donor age with the chi-squared and Fisher exact tests. Survival analysis was performed using the Kaplan-Meier method. Differences between groups were assessed using the log-rank test. We also evaluated survival analysis with other baseline factors that could affect graft survival. To evaluate the trend of ECD across the four donor age subgroups, the Jonckheere-Terpstra test was conducted, while the Kruskal-Wallis test and the Mann-Whitney test were used for comparison of the ECD among the four donor age subgroups. Subgroup analyses of low- and high-risk eyes according to preoperative diagnoses were also performed. All calculations were completed using the IBM SPSS ver. 20.0 (IBM Corp., Armonk, NY, USA). A p-value of less than 0.05 was considered to be statistically significant.

Kwon H.Y., Hyon J.Y, & Jeon H.S. (2020). Effect of Donor Age on Graft Survival in Primary Penetrating Keratoplasty with Imported Donor Corneas. Korean Journal of Ophthalmology : KJO, 34(1), 35-45.

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Comparative Analysis of Outcomes

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Demographic characteristics, clinical outcomes, radiological outcomes, and complications were compared between the 2 groups using the independent t-test. Kolmogorov-Smirnov test was used to determine normal distributions. All data were analyzed using IBM SPSS ver. 20.0 (IBM Co., Armonk, NY, USA). Statistical significance was defined as p-value less than 0.05 (two-tailed).

Lee S.H., Lee G.W., Seol Y.J., Park K.S, & Yoon T.R. (2017). Comparison of Outcomes of Total Hip Arthroplasty between Patients with Ankylosing Spondylitis and Avascular Necrosis of the Femoral Head. Clinics in Orthopedic Surgery, 9(3), 263-269.

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Statistical Analysis of Research Outcomes

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Data processing and analysis were performed using IBM SPSS ver. 20.0 (IBM Corp., Armonk, NY, USA). Results are expressed as frequency and percentage for categorical variables and as mean and standard deviation for continuous variables. All p-values <0.05 were considered to indicate statistical significance. Survival estimates were generated using the Kaplan-Meier method.

Kim H.H., Kim D.J, & Joo H.C. (2017). Outcomes of Open Repair of Mycotic Aortic Aneurysms with In Situ Replacement. The Korean Journal of Thoracic and Cardiovascular Surgery, 50(6), 430-435.

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Neurophysiological Markers of Language in Autism

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We used software (SPSS ver. 20.0; IBM Corp., Armonk, NY, USA) for statistical analyses. To evaluate differences of dipole intensity and latency of the P1m component between the TD and children with ASD, we applied two-sample t-tests (two-tailed) to data of each hemisphere. The alpha level was adjusted to 0.05/2 = 0.025 for statistical analysis for each hemisphere. Furthermore, to test the left–right interaction, we performed repeated two-way ANOVA for P1m dipole latency and intensity. The between-subject variable was the group (TD vs. ASD). The within-subject variable was the hemisphere (left and right). Statistical significance was inferred for p < 0.05.
To evaluate correlation between the P1m component (i.e., the intensity and latency) and the language-related score (i.e., the performance of ‘riddles’), Pearson’s correlation coefficient was used. Analyses were conducted separately for the right and left hemispheres. The alpha level was adjusted to 0.05/2 = 0.025 for statistical analysis. Furthermore, we used a multiple regression analysis to assess the effects of independent variables. As a between-person covariate, age in months and the language score were included in the regression model. Statistical significance was defined as p < 0.05/2 = 0.025.

Yoshimura Y., Ikeda T., Hasegawa C., An K.M., Tanaka S., Yaoi K., Iwasaki S., Saito D.N., Kumazaki H., Hiraishi H, & Kikuchi M. (2021). Shorter P1m Response in Children with Autism Spectrum Disorder without Intellectual Disabilities. International Journal of Molecular Sciences, 22(5), 2611.

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