Spss statistics software version 25

Manufactured by IBM

Sourced in United States, United Kingdom, Japan

SPSS Statistics software version 25 is a statistical analysis software package developed by IBM. It provides a comprehensive set of tools for data management, analysis, and presentation. The software allows users to perform a wide range of statistical procedures, including descriptive statistics, regression analysis, and advanced modeling techniques. SPSS Statistics version 25 offers a user-friendly interface and a robust set of features to support data-driven decision-making.

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Lab products found in correlation

Prism 8, by GraphPad (4 mentions) Prism 9, by GraphPad (3 mentions) Statistix 8, by SAS Institute (3 mentions) Prism 6.0c, by GraphPad (2 mentions) R software v3, by R Project for Statistical Computing (1 mentions) R version 4, by R Project for Statistical Computing (1 mentions) Stata software version 13, by StataCorp (1 mentions) Prism 6, by GraphPad (1 mentions) Originpro 2022, by IBM (1 mentions) Stata, by StataCorp (1 mentions) R ver 3, by R Project for Statistical Computing (1 mentions) Version 8, by GraphPad (1 mentions) Microtiter plate reader, by Agilent Technologies (1 mentions) Prism software, by GraphPad (1 mentions) Version 17, by MedCalc (1 mentions) Sas software version 9, by SAS Institute (1 mentions) Sas enterprise guide, by SAS Institute (1 mentions) Software version 18, by MedCalc (1 mentions) R software, by X&Y Solutions (1 mentions) Simca version 14, by Sartorius (1 mentions)

341 protocols using spss statistics software version 25

Factors Associated with Cognitive Decline

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Differences in demographic variables and results from the neuropsychological assessment between patients with unchanged CDR after 1 year (group A) and those with worsened (group B) were analyzed using a two-sample t-test for equal variance data, the Welch test for unequal variance data. In addition, regression analysis was performed using the significantly different items as covariates and the change in CDR as the objective variable.
Statistical analysis was performed using IBM SPSS Statistics software version 25 (IBM Corp., Armonk, NY, USA). Clinical and radiological characteristics were presented as numbers with percentages and means with standard deviation. Statistical analyses were performed using IBM SPSS Statistics software version 25 (IBM Corp., Armonk, NY, USA). Differences with p < 0.05 were considered statistically significant.

Matsuda K., Shinohara M., Ii Y., Tabei K.I., Ueda Y., Nakamura N., Hirata Y., Ishikawa H., Matsuyama H., Matsuura K., Satoh M., Maeda M., Momosaki R., Tomimoto H, & Shindo A. (2023). Magnetic resonance imaging and neuropsychological findings for predicting of cognitive deterioration in memory clinic patients. Frontiers in Aging Neuroscience, 15, 1155122.

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Disaster Pharmacy Legislation Patterns

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The data obtained from the pharmacy legislation documents and disaster databases were entered into the IBM SPSS Statistics software version 25 (IBM Corp., Armonk, NY, USA). Pearson Chi-squared tests of independence were performed to determine whether there was a relationship between the four individual pharmacy legislations reviewed, specifically the relationship between the disaster-specific emergency supply rule and the other pieces of disaster pharmacy legislation. Where the expected cell count was below five, Fisher's exact test was used.
A binary logistic regression test using a generalised estimating equation (GEE) was used to test the association between the number of disasters experienced by a jurisdiction and whether they had disaster-specific emergency supply legislation, vaccination legislation or temporary relocation and mobile pharmacy legislation. To account for possible within-variable correlation due to the different levels of government that regulate pharmacy legislation in a country, a GEE model was used to cluster data for the states, provinces and territories within countries. These GEE models were simulated in IBM SPSS Statistics software version 25 for the disaster variables '10 years' and '5 years', producing six different models.

Watson K.E., Singleton J.A., Tippett V, & Nissen L.M. (2020). Do disasters predict international pharmacy legislation?. Australian health review : a publication of the Australian Hospital Association, 44(3).

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Comprehensive Statistical Analysis of Survival

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Descriptive statistics for categorical variables are reported as number and percentage; continuous variables are reported as mean ± standard deviation. Continuous variables were compared using Student’t-test and ANOVA; categorical variables were compared using χ² or Fisher’s exact test. Overall survival was estimated using the Kaplan-Meier method and reported as percentage (95% confidence interval). The stratified log rank test was applied to compare the equality of the survival curves. Univariable analyses of predictors of all-cause death were done with binary logistic regression. Multivariable Cox regression analysis was used to identify independent predictors of all-cause death. When a variable was rejected in the model because of linearly dependent to another one, both were introduced separately and alternatively. A 2-tailed P value < 0.05 was always considered to indicate statistical significance. All statistical analyses were performed using IBM-SPSS Statistics software version 25.0 (IBM-SPSS Inv, Armonk, NY).

Jegaden O.J., Farhat F., Jegaden M.P., Hassan A.O., Lapeze J, & Eker A. (2021). How decisive is the number of distal arterial anastomoses in coronary bypass surgery?. Journal of Cardiothoracic Surgery, 16, 6.

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Exploratory Factor Analysis of Psychological Constructs

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Descriptive and reliability analyses were carried out using the IBM-SPSS statistics software, version 25.0. Exploratory factor analysis and exploratory bifactor analysis were both conducted via the Factor software, version 10.8.³⁴ (link)

Pires C., Rosa P.J., Vigário M, & Cavaco A. (2020). Validation of a new tool for evaluating subjects’ satisfaction with medicine package leaflets: a cross-sectional descriptive study. São Paulo Medical Journal, 137(5), 454-462.

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GABA Production Optimization in L. plantarum K16

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The statistical analysis was carried out using the IBM-SPSS statistics software version 25.0 (IBM, New York USA). One-way analysis of variance (ANOVA) was used to evaluate the presence of statistically significant differences in the amount of GABA produced and the growth of L. plantarum K16 strain among the fermented media within each fermentation parameter studied. Bonferroni's method was applied for pairwise comparison, and statistical significance was declared at P ≤ 0.05. In addition, Rho Spearman correlation coefficient was calculated to investigate the relationship between the amount of GABA produced and the nutritional composition of each agri-food by-product used.

Diez-Gutiérrez L., Vicente L.S., Sáenz J., Esquivel A., Barron L.J, & Chávarri M. (2022). Biosynthesis of gamma-aminobutyric acid by Lactiplantibacillus plantarum K16 as an alternative to revalue agri-food by-products. Scientific Reports, 12, 18904.

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Comparative Analysis of Aortic Valve Outcomes

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Qualitative data are shown as absolute values and percentages. We compared the distributions between the groups with the chisquared test. Quantitative data are presented as median values with quartiles. We assumed non-normal distributions in all cases because of the relatively low number of cases. To compare the distributions of such data between the groups, we performed the Kruskal-Wallis test. To compare the distributions of quantitative variables between two groups (one group vs. all others), the Mann-Whitney U test was used. Survival and freedom from combined endpoint (FFCE), which was defined as death, stroke, aortic valve reinfection, and/or aortic valve reoperation for any cause, were analyzed with the Kaplan-Meier method and general and pairwise group comparisons were performed with the use of the log-rank test. The incidence rates of aortic valve reoperation and FFCE during follow-up were compared with the use of the polynomial multiplication method and are presented as number of events/100 patient-years. Overall, we considered P-values < 0.05 as statistically significant. For the statistical analysis, we used the R software v.3.4.3 (R Foundation for Statistical Computing, Vienna, Austria) as well as the IBM SPSS Statistics software, version 25 (IBM Corp.).

Szczechowicz M., Weymann A., Mkalaluh S., Mashhour A., Zhigalov K, & Easo J. (2020). Surgical Options for Aortic Root Replacement in Destructive Endocarditis. Brazilian Journal of Cardiovascular Surgery, 35(3), 265-273.

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Statistical Analysis of Research Data

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The statistical analysis was carried out using IBM-SPSS Statistics software version 25 (IBM, Armonk, NY, USA). The statistical techniques and tests used were: 1. frequency and percentage tables for qualitative variables; 2. measures of centrality (mean and median) and variability (observed range, standard deviation, and interquartile amplitude) for quantitative variables; 3. for the contrast between the means of groups of different subjects (independent of each other), Student’s t-test was used when the variables were normal, and the nonparametric alternative (Mann–Whitney) was used when they were not; and 4. for correlations between the variables, the Spearman coefficient was used.
In all these statistical tests, significance was considered to be when p < 0.05 and high significance to be when p < 0.01.

Curto A., Alvarado-Lorenzo A., Albaladejo A, & Alvarado-Lorenzo A. (2022). Oral-Health-Related Quality of Life and Anxiety in Orthodontic Patients with Conventional Brackets. International Journal of Environmental Research and Public Health, 19(17), 10767.

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Gut Microbiome Comparative Analysis

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Results for relative abundance are comprehensively presented as means and
standard deviations in S1–S6 Tables. Due to the non-normal distribution
of the data, the Mann–Whitney test was chosen to compare the relative abundances
for sow and piglet data. Statistical procedures were performed using the IBM
SPSS Statistics software Version 25 (IBM, Chicago, USA). A level of 95%
confidence was deemed as significantly different.
The shared number of genera between the four examined animal groups were
calculated using the Software Microsoft Excel 2016 (Microsoft Corporation, Santa
Rosa, California, USA) and Fig
1 was drawn up with the online software Lucidchart (Lucid Software
Inc. 2020, Utah, USA,).

Lührmann A., Ovadenko K., Hellmich J., Sudendey C., Belik V., Zentek J, & Vahjen W. (2021). Characterization of the fecal microbiota of sows and their offspring from German commercial pig farms. PLoS ONE, 16(8), e0256112.

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Evaluating Fracture Fixation Stability

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The occurrence of loss of reduction was calculated. The effect of surgeons' professional education, experience, and surgical techniques on stability was compared in two groups: redisplacement versus no redisplacement. The results were presented proportionally with a 95% confidence interval (95% CI) for differences and analyzed using the standard normal deviate (SND) test to determine the difference of proportions of independent variables. A Student's t test was used to test the differences in mean ages and immobilization times between two groups. The mean, range, and SD were reported for continuous variables. Logistic regression was used to calculate the effect of shorter distance between the pins at the entry point and crossing the pins at the fracture line on the stability of fixation. Statistical analyses were carried out using IBM SPSS Statistics software version 25 (IBM Corp., Armonk, NY) and StatsDirect software version 2.7.9 (StatsDirect Ltd., England). All p-values were two-tailed, and the threshold of statistical significance was set at p < 0.05. a Acceptable when the anterior humeral line passes through the capitellum.
b Alignment of both posterior and anterior columns was evaluated in lateral view: More than 5 mm of difference between the proximal and distal fragments was taken as major rotation deformity.

Hannonen J., Pokka T., Serlo W, & Sinikumpu J.J. (2021). Lateral-Only Kirschner-Wire Fixation of Type-3 Supracondylar Humerus Fractures in Children with a Special Attention to Technical Issues. Scandinavian journal of surgery : SJS : official organ for the Finnish Surgical Society and the Scandinavian Surgical Society, 110(2).

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Caregiver Burden in Dementia: Sociodemographic Factors

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Independent variables in the statistical analysis were patients’ and caregivers’ sociodemographic characteristics (caregiver age, sex, level of schooling, and relationship to the patient; patient age, sex, CDR score, and diagnosis), ZBI score, and NPI score. Descriptive statistics are expressed as mean (standard deviation) or median (interquartile range [IQR]), as appropriate. In the bivariate analysis, we used the Kruskal-Wallis test and the Mann-Whitney U test for non-parametric variables and the t test, χ² test, and analysis of variance (ANOVA) for parametric variables. Statistical analysis was conducted using the SPSS statistics software (version 25).

Sorbara M., Graviotto H.G., Lage-Ruiz G.M., Turizo-Rodriguez C.M., Sotelo-López L.A., Serra A., Gagliardi C., Heinemann G., Martinez P., Ces-Magliano F, & Serrano C.M. (2020). COVID-19 and the forgotten pandemic: follow-up of neurocognitive disorders during lockdown in Argentina. Neurología (English Edition), 36(1), 9-15.

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