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Spss 27 for windows

Manufactured by IBM
Sourced in United States, Germany

SPSS 27 for Windows is a statistical software package designed for data analysis, data management, and data visualization. It provides a comprehensive set of tools for conducting a wide range of statistical analyses, including regression, correlation, and advanced modeling techniques. SPSS 27 for Windows is compatible with the Windows operating system.

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28 protocols using spss 27 for windows

1

Maternal-Fetal Antibody Correlation Analysis

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Statistical analyses were performed using IBM SPSS 27 for Windows (IBM Corp, Armonk, NY), and Prism 5.01 (GraphPad Software, San Diego, CA). Correlations between fetal and maternal antibodies were analyzed by linear regression tests. Comparisons of the antibody concentrations among groups, and continuous parameters (eg, clinical data), were analyzed using Kruskal-Wallis 1-way ANOVA tests followed by a Dunn all-pairwise comparisons test or, alternatively, using Wilcoxon rank sum tests (if only 2 groups were compared). Comparisons between maternal and fetal concentrations within each group were analyzed with Wilcoxon matched-pairs signed-rank test. A Pearson chi-square analysis was used to compare proportional data. All statistical tests were based on 2-tailed hypotheses. Differences were considered significant at a P value <.05.
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2

Propensity Score Matching for TAVR Outcomes

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The propensity scores were estimated using a nonparsimonious multivariable logistic regression model with small THV type (SE versus BE) as the dependent variable and the following variables as covariates (significantly different at baseline univariate analysis with P<0.05): age, mitral regurgitation (MR), extensive calcification of the aorta, previous balloon aortic valvuloplasty, and access site for THV delivery. Matching was performed with the use of a 1:1 matching protocol without replacement (nearest neighbor‐matching algorithm), with a caliper width equal to 0.1 of the SD of the logit of the propensity score. Standardized differences were estimated for all the baseline covariates before and after matching to assess prematch imbalance and postmatch balance and were graphically presented (histogram with overlaid kernel density estimates of standardized differences; Figures S1 and S2). Furthermore, an overall imbalance χ2 test9 and multivariate overall imbalance measure L110 were performed. In the propensity‐matched cohort, survival was assessed with the use of the Kaplan‐Meier method and compared with the use of the log‐rank test.
Statistical analysis was performed using SPSS 27 for Windows (IBM Corp, Armonk, NY).
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3

Characterizing Azoospermia Subtypes

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The demographics and characteristics of the patients with different forms of azoospermia are provided as medians and interquartile range (IQR). Analyses were performed using SPSS 27 for Windows (IBM GmbH, Ehningen, Germany).
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4

Predicting Cochlear Implant Performance

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Normality was confirmed using the Shapiro–Wilk test. Thus, the Pearson correlation (r) was used to determine strength of the relationships between ECochG-TR, PTA, LFPTA, MoCA score, and speech perception outcomes to understand factors that were independently important for CI performance in quiet and noise. Simple and multiple linear regression analyses were used to assess how well each of the variables and the combination of variables could be used to predict performance in quiet (i.e., CNC and AzBio in Quiet) and/or noise (AzBio + 10 dB SNR) at 3 months. The independent explanatory variables selected for the multivariate regression had p-values < 0.05 in the simple regression between CI performance and the respective independent variables. A hierarchical model approach with each of the variables added on at a time was used to evaluate incremental role of audiologic performance and cognitive scores over ECochG-TR alone in prediction of speech perception scores. Analyses were performed with SPSS 27 for Windows (IBM Corp, Armonk, New York, USA). Alpha level for all statistical tests was set at 0.05 and were two-tailed.
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5

Multivariate Analysis of Research Data

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Descriptive statistics, Kruskal Wallis test, Student’s t-test, and ANOVA were conducted where the significance level was set at p<0.01. Statistical analyses were performed using IBM SPSS-27 for Windows (IBM Corp, NY and USA). The SECA method’s optimization problem was solved using Wolfram Mathematica, and the final ranking for all three MCDM methods was done in Python.
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6

Personality Subtypes in Adolescent Psychiatric Disorders

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Statistical analyses were performed using SPSS 27 for Windows (IBM, Armonk, NY). A multivariate analysis of variance was conducted to identify differences in emerging personality styles and syndromes (in this context, subtypes) between adolescent patients with a DD diagnosis (DD group) and those with other psychiatric diagnoses (No-DD group) assessed with the PDC-A of PDM-2. To examine the relationship between specific personality subtypes identified in the DD patient group, overall mental functioning (assessed with the MA axis of the PDC-A), and level of personality organization (assessed with the PA axis of the PDC-A), point biserial correlations were performed, taking into account all the personality subtypes, the global index of mental functioning (considered as a dichotomous variable, as the patient sample included only the neurotic and borderline levels) and overall level of personality organization (considered as a dichotomous variable, since again the patient sample included only the neurotic and borderline levels). Finally, partial correlations were performed to investigate the associations between the personality subtypes of the DD patient group and their therapists’ emotional responses (assessed with the TRQ-A), controlling for the intensity of depressive symptomatology (assessed with the SA axis of the PDC-A).
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7

Parenting Stress and Anxiety in Home-Visiting Interventions

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Mothers who received at least one home-visiting session were compared to counterparts who did not receive home-visiting for the total and subscale scores of the PSI-SF by means of independent-sample t-tests. The chi-squared test was used to compare the distribution of clinically relevant anxiety symptoms between the two groups. The association between anxiety levels at delivery (identified by the STAI-Y questionnaire) and parenting stress in the whole group was assessed by means of bivariate correlation; the same analysis was repeated separately for mothers who received and those who did not receive home-visiting sessions. All analyses were conducted using IBM SPSS 27 for Windows, setting p < 0.05.
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8

Maternal-Fetal Antibody Correlations

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Statistical analyses were performed on IBM SPSS 27 for Windows (IBM Corp.) and Prism 5.01 (GraphPad Software). Comparisons between groups (antibody concentrations and clinical continuous parameters) were analyzed with Kruskal-Wallis 1-way ANOVA, followed by Dunn’s pairwise comparisons test; alternatively, comparisons were analyzed by Mann-Whitney U test for nonpaired comparisons and Wilcoxon rank sum test for paired dyads (if only 2 groups were compared). Maternal–cord blood dyad antibody correlations were analyzed by Spearman’s correlation tests. Proportional data were analyzed with the Pearson χ2 test. Bonferroni correction for multiple comparisons was applied. All statistical tests were 2 tailed and considered significant at P < 0.05.
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9

Adolescent Lifestyle Patterns During COVID-19

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Descriptive statistics were calculated for all study variables. A two-proportion bilateral z-test was performed to assess proportional differences in PA practice, recreational screen time, sleep duration, and sleep quality over the different periods of the 2020 year. Throughout the analyses, gender differences were assessed using chi square tests. Chi square tests were also performed to explore the association between the use of PA-related technology and the actual PA practice of participants. Significance was defined at p < 0.05. Thereafter, 95% confidence intervals were also calculated to estimate the proportion of adolescents following the 24 h movement guidelines as of December 2020. Finally, a one-proportion bilateral z-test was performed to assess differences in the proportion of adolescents following the PA recommendations, the recreational screen time recommendations, and the sleep duration recommendations between the autumn 2020 and prior the COVID-19 pandemic (using data collected from a previous study by Roberts et al. [2 (link)]). Statistical analysis was performed using SPSS 27 for Windows (IBM Corp., New York, NY, USA).
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10

Mitochondrial DNA Copy Number and VTE Risk

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Statistical calculations were performed with the statistical package SPSS 27 for Windows® (IBM, NY, USA). Summary statistics of baseline characteristics are presented using descriptive statistics (frequencies, percentages, median, interquartile range [IQR]). Normality was assessed using the Shapiro-Wilk test. Accordingly, between-group comparison of continuous variables was tested using the Students t-test or the Mann-Whitney U test. The significance level was set to p ≤ 0.05. The association of mtDNA copy number with VTE risk was done with binary logistic regression analysis and adjusted for age, sex, BMI and smoking. Between-group comparison of categorical variables was made using the Chi 2 -test. Correlations were calculated with the Spearman rank sum-test.
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