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Spss for windows version 16

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SPSS for Windows, version 16.0 is a software application designed for statistical analysis. It provides a range of tools and capabilities for data management, analysis, and visualization. The software is intended to assist users in conducting various statistical procedures and interpreting the results.

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Lab products found in correlation

Spss version 16, by IBM (9 mentions) Spss software version 16, by IBM (4 mentions) Prism 5, by GraphPad (4 mentions) Spss inc, by IBM (3 mentions) Sas 9, by SAS Institute (3 mentions) Office excel 2007, by IBM (2 mentions) Pass 11, by NCSS Statistical Software (2 mentions) Software, by MedCalc (2 mentions) Excel 2007, by IBM (1 mentions) Software, by GraphPad (1 mentions) Spss statistics for windows version 22, by IBM (1 mentions) Stata statistical software release 13, by StataCorp (1 mentions) Prism 8, by IBM (1 mentions) Originpro 6, by OriginLab (1 mentions) Spss software, by IBM (1 mentions) Excel 2010, by IBM (1 mentions) Prism 9, by GraphPad (1 mentions) Sas version 9, by IBM (1 mentions) Prism 7, by IBM (1 mentions) Social science statistics package, by IBM (1 mentions)

764 protocols using spss for windows version 16

1

Knee Extensor Strength Changes After Surgery

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The sample size was calculated using G*Power 3 (Heinrich Heine Universitȁt Dȕsseldorf, Germany). The minimum required sample size to obtain significant differences among the 4 measurements with a type I error (α) of 0.05, a power (1-β) of 0.80, a correlation among repeated measurements of 0, nonsphericity of 0.334, and an effect size of 0.3 was 17.
Analysis of variance (ANOVA) with repeated measures and univariate ANOVA with Tukey post hoc tests were performed to evaluate extensor strength changes before and after surgery using SPSS for Windows version 16 (SPSS Inc., Chicago, IL, USA). Student's t-test or chi-square test was used to compare the difference between 2 groups using Microsoft Excel 2010 (Microsoft Inc., Redmond, WA, USA) and SPSS for Windows version 16. Significance was set at p < 0.05. The powers of the comparison between the high and low ratio groups were 0.55, 0.55, 0.57, and 0.35 for isometric knee extensor strength at 60° and 90° knee flexion, and isokinetic knee extensor strength at 60°/s and 180°/s, respectively, with a type I error (α) of 0.05. The powers of the comparison between the mild and severe trochlear groups were 0.80, 0.76, 0.80, and 0.54 for isometric knee extensor strength at 60° and 90° knee flexion, and isokinetic knee extensor strength at 60°/s and 180°/s, respectively, with a type I error (α) of 0.05.
Matsushita T., Araki D., Matsumoto T., Niikura T, & Kuroda R. (2019). Changes in knee extensor strengths before and after medial patellofemoral ligament reconstruction. The Physician and sportsmedicine, 47(2).
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2

Diagnostic Accuracy of Sepsis Biomarkers

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Sealed envelope sample size calculator was used for the sample size calculation. For qualitative data, Chi-square test and for quantitative data (frequency with %, mean ± standard deviation, median with 25th and 75th percentiles), Student-t test or Mann–Whitney U-test (for skewed data) was used. If group differences were there for the continuous variables, one-way analysis of variance (ANOVA) test was used. Keeping α-error <5%, β-value = 20%, power of the study came to be 80%. Statistical significance was declared when P ≤ 0.05. SPSS for Windows, Version 16.0. SPSS Inc., Chicago.
The accuracy of each modality was expressed using the sensitivity and specificity. The predictive abilities regarding sepsis of different biomarkers were expressed as the area under the receiver operating characteristics curve (AUC-ROC) (mean, 95% confidence interval [CI]), derived from logistic regression analysis using the SPSS for Windows, Version 16.0. (Chicago, SPSS Inc.). The correlation was calculated using the Spearman's coefficient. Statistical significance was declared when P value was less than or equal to 0.05.
Gupta B.K., Das B.P., Mhaske V.R., Tomar S, & Rastogi K. (2021). Diagnostic Accuracy of Various Biomarkers of Sepsis (Serum Pro-Calcitonin, High-Sensitivity C-reactive Protein, and C-reactive Protein) and Band Cell Percentage in Critically lll Patients: A Prospective, Observational, Cohort Study. Anesthesia, Essays and Researches, 14(4), 615-619.
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3

Behavioral and Molecular Analysis of Conditioning

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Statistical analyses were conducted using Statistical Package for the Social Sciences (SPSS for Windows, Version 16, SPSS, Inc., Chicago, IL, USA). All results were considered significant at α = 0.05. Behavioral data for mRNA analysis were evaluated with a mixed design ANOVA for CR probability with blocks as a within-subject factor and strain as a between-subject factor. Average CR probability was calculated for blocks consisting of 20 trials, resulting in five blocks per session. Behavioral data for BDNF administration had a similar experimental design, but with the addition of treatment as a between subjects factor. mRNA data were analyzed using an ANOVA with strain and conditioning as between subjects factors. Separate analyses were conducted for BDNF, TrkB, and Arc mRNA in each hippocampal subregion. Only significant (p < 0.05) and trending (p < 0.1) results are reported.
Janke K.L., Cominski T.P., Kuzhikandathil E.V., Servatius R.J, & Pang K.C. (2015). Investigating the Role of Hippocampal BDNF in Anxiety Vulnerability Using Classical Eyeblink Conditioning. Frontiers in Psychiatry, 6, 106.
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4

Identifying Predictors of MDR-TB

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Data were entered and analyzed using Statistical Package for Social Sciences (SPSS) for Windows version 16. Descriptive statistical techniques were used to obtain summary values for cases and controls separately. Bivariate analysis was performed to identify the crude association between dependent and independent variables. The dependent variable was presence of MDR-TB and the independent variables include different sociodemographic, environmental and patient’s health and behavior related variables. Statistical significance was determined using p<0.05 as a cut-off point and odds ratio was used to see the strength of association. Those variables which showed significant association in bivariate analysis were entered in a backward stepwise logistic regression procedure for multivariable logistic analyses, in order to assess the independent predictors of MDR-TB among the study participants.
Workicho A., Kassahun W, & Alemseged F. (2017). Risk factors for multidrug-resistant tuberculosis among tuberculosis patients: a case-control study. Infection and Drug Resistance, 10, 91-96.
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5

Statistical Analysis of Continuous and Categorical Data

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Data were collected and SPSS 16 (SPSS Inc. Released 2007. SPSS for Windows, Version 16. Chicago, SPSS Inc.) was used for analysis. Continuous variables were expressed as mean ± standard, and categorical variables presented as number and percentages (%). One-way ANOVA test was used for comparing continuous variables with normality, Kruskal–Wallis test was used to compare continuous nonnormal variables and ordinal variables, and Chi-square was used for categorical data. P < 0.05 was considered statistically significant.
Beder El Baz M.M, & Farahat T.E. (2018). Intraperitoneal Levobupivacaine Alone or with Dexmedetomidine for Postoperative Analgesia after Laparoscopic Cholecystectomy. Anesthesia, Essays and Researches, 12(2), 355-358.
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6

Hormones, Sperm, and STS sY1291

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Statistical analysis was done by SPSS for Windows, version 16. The data were presented as a range of number and percentage. The mononucleotide T repeats in sequencing results were calculated by counting. Data were analyzed using Pearson chi-square for the correlation between hormone parameters, sperm concentration, and 2 groups of STS sY1291 (negative and positive STS sY1291). A p value < 0.05 was considered statistically significant.
Cao N.T., Nguyen K.T., Vu N.T., Nguyen V.C., Trinh T.M., Nguyen N.T., Trinh L.T., Lam T.T., Cao B.L, & Dang T.N. (2019). Analysis of the length polymorphisms in sequence-tagged-site sY1291 on Y chromosome in Vietnamese men of infertile couples. Scientific Reports, 9, 9654.
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7

Statistical Analyses in Social Science

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Data analyses were performed using statistical software (SPSS for Windows, Version 16, Statistical Package for the Social Sciences, Worldwide Headquarters SPSS Inc., Chicago, IL, USA). Statistical comparisons were completed using the Mann–Whitney U test. Results are given as mean ± SEM. A value of p < 0.05 was considered statistically significant.
Solmaz V., Köse Özlece H., Eroglu H.A., Aktuğ H., Erbaş O, & Taşkıran D. (2017). Accumulation of α-Synuclein in Cerebellar Purkinje Cells of Diabetic Rats and Its Potential Relationship with Inflammation and Oxidative Stress Markers. Neurology Research International, 2017, 5952149.
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8

Thalamus Volumes and Cognitive Functioning

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Data were analyzed using the SPSS for Windows version 16 (SPSS Inc., Chicago, IL, USA) and reported as mean and standard deviation (M±SD). The metabolite concentrations, the thalamus volumes and IQ scores were found to be normally distributed in both groups according to the Shapiro-Wilks test. Parametric tests (two-tailed Student t-test) were used to analyse normally distributed data. Nonparametric tests (Mann-Whitney U test) were used for the data that did not follow a normal distribution (hemisphere volumes and TBV). Spearman's correlation coefficients were used to examine the association between thalamic volumes and TBV. The association between the laterality index and ABC scores was also analyzed using the Spearman's correlation coefficients. Analysis of covariance (ANCOVA) was used to compare the thalamus volumes of the two groups after controlling for the confounding effect of the TBV. A value of p<0.05 was accepted as statistically significant.
Say G.N., Şahin B., Aslan K., Akbaş S., ĺncesu L, & Ceyhan M. (2014). Increased Laterality of the Thalamus in Children and Adolescents with Asperger's Disorder: An MRI and Proton Spectroscopy Study. Psychiatry Investigation, 11(3), 237-242.
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9

Statistical Analysis of Research Data

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SPSS for windows version 16 was used for statistical analysis of data. After the assessment of the distribution pattern of the variables, comparison of mean between the two study groups was done using parametric tests (independent t-test and analysis of variance) for normally distributed variables or their non-parametric counterparts (Mann–Whitney U test and Kruskal–Wallis test) for non-normally distributed variables. Chi-Square test was used to evaluate the relationship between the categorical variables. Multivariate analysis (linear regression) was used to examine the relationship between the two or more explanatory variables. A p value less than 0.05 was considered significant.
Bahardoust M., Hajializade M., Amiri R., Mousazadeh F, & Pisoudeh K. (2019). Evaluation of health-related quality of life after total hip arthroplasty: a case-control study in the Iranian population. BMC Musculoskeletal Disorders, 20, 46.
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10

Immunoexpression of P63 and SOX2 in TNBC

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Normality of the data was assessed using the Shapiro-Wilk test and therefore the analysis tests chosen based on the normality of the data. The correlations between immunoexpression of P63 (cytoplasm and nucleus) and SOX2 were assessed using Pearson correlation and Spearman correlation, respectively. The associations of P63 and SOX2 immunoexpression and type of TNBC were assessed using Mann Whitney test. The predictive diagnostic values of P63 cytoplasm for diagnosing Basal-like type TNBC were estimated using several immunoreactivity score cut-off points. Receiver operating characteristic curve (ROC) was plotted and area under the ROC curves (AUC) was estimated. For all analyses, estimates were considered statistically significant for two-tailed values of
p<0.05. All analyses were conducted using Statistical Package for the Social Sciences software (SPSS for Windows, Version 16, Chicago, IL).
Kamarlis R.K., Lubis M.N., Hernowo B.S, & Kar A.S. (2018). Immunoexpression of P63 and SOX2 in triple-negative breast cancers, Indonesia. F1000Research, 6, 1780.
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