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Spss statistics version 24

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SPSS Statistics version 24 is a statistical software package developed by IBM. It is designed to analyze and manage data, providing users with tools for data manipulation, statistical modeling, and reporting. The core function of SPSS Statistics version 24 is to enable users to perform a wide range of statistical analyses, including descriptive statistics, regression analysis, and hypothesis testing.

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2 002 protocols using spss statistics version 24

1

Construct Validity Assessment of Questionnaire

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To assess construct validity, Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA) were performed by means of IBM SPSS statistics version-24 and Amos SPSS version-24 (IBM Corporation, Chicago, USA) software, respectively. Fit indices including ratio of Chi-square to degrees of freedom (X2/DF), Root Mean Square Error of Approximation (RMSEA), Comparative Fit Index (CFI), and Non-Normed Fit Index (NNFI) were used. The values of at least 0.90 for CFI, NNFI and below 0.05 for RMSEA indicated good fit (< 0.08 acceptable).
The mean and standard deviation of questionnaire scores were calculated in total and separately for each domain for students in different educational semesters. IBM SPSS statistics version-24 served for descriptive, one way ANOVA, linear regression analyses (Backward method),and calculation of Cronbach’s Alpha and Kappa coefficients. The p-value< 0.05 was considered significant.
Standardized estimates equal to or higher than 0.5, Average Variance Extracted (AVE) of 0.5 or higher, and Composite Reliability (CR) of 0.7 or higher were considered to assess convergent validity.
For measuring divergent validity, the AVE for two constructs should exceed their Maximum Shared Variance (MSV).
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2

Lichen Growth Response to Nitrogen

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The effects of nitrogen availability on thalli growth, propagule survival, thalli nitrogen and phosphorous content, activity of GS, NR, and PME were analyzed with one-way ANOVA using the SPSS (IBM Corp. Released 2016. IBM SPSS Statistics Version 24.0). Differences were considered significant when P < 0.05. Comparisons of means were performed using a Tukey’s (HSD) test. Lichen adsorption response to nitrogen availability was plotted with Origin 7.5, and then its Km and Vmax were fitted with Michaelis–Menten model (V = Vmax C/(Km + C)) (Turner et al., 2001 (link)). Finally, correlations of above data, in addition with nitrogen availability, were analyzed with SPSS (IBM Corp. Released 2016. IBM SPSS Statistics Version 24.0).
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3

Overdose Safety Clinical Trial Analysis

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Statistical analysis of the effectiveness studies was performed using IBM SPSS statistics version 24. The significance level was set at 5%.
The average value and standard deviation were obtained from each group for each data in the statistical analysis of the overdose safety study. Dunnett’s test (two-tailed test) was used to perform statistical analysis of the high-dose group, low-dose group, and control group for each test, and Wilcoxon’s rank-sum test was performed for qualitative endpoints. A stratified analysis was performed separately for men and women for measurement items with different reference values for men and women. Statistical analysis was performed using Dunnett’s test (two-tailed test) for the comparison between the intake start date (week 0) and the week 2, week 4, and follow-up (week 6) tests after the start of intake, whereas Wilcoxon’s signed-rank test was performed for qualitative endpoints. The statistical significance level was set at 5%. IBM SPSS statistics version 24 was used for data analysis.
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4

Genetic Variant Association Analysis

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Sociodemographic descriptive data of the study and control groups were analyzed using IBM SPSS Statistics version 24 software. Continuous variables were expressed as mean ± STD and compared using an independent samples t-test, whereas categorical variables were expressed as numbers and percentages and analyzed using the χ2 test. Statistical analysis for genotype and allele frequencies between patients and controls was also performed using the IBM SPSS Statistics version 24 software. A p value of 0.05 or less was considered to indicate statistical significance for all the data. Odds ratios (ORs) with 95% CIs were used to assess an association between the frequencies of SNPs and case-control status.
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5

Investigating Cognitive Control Mechanisms in Autism and Reading Disorders

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The RTs of each trial were calculated from the target stimulus onset time to the button press response time. The unattended trials, trials with incorrect responses, and trials that were not accepted for ERP averaging were excluded from calculations of the mean RTs. All participants maintained a high level of accuracy (see Supplementary Table 3). There were no participants excluded due to poor performance. Repeated measures ANOVAs were performed in IBM SPSS Statistics version 24 to determine significant differences in RTs between conditions and groups. Separate Repeated measures ANOVAs for alerting, orienting, and inhibition {3 (group) × 2 (condition)} were calculated with repeated measures to determine the significance of the reaction time performance between the groups (control, AP, RD) and conditions (alerting: non-cued and double-cued target stimuli; orienting: center-cue and spatially cued target stimuli; inhibition: incongruent and congruent target stimuli). Paired-sample t-tests were calculated in IBM SPSS Statistics version 24 to determine the significant differences in RTs between conditions within the groups. Cohen’s Dz was calculated to determine the effect size between RTs for different target stimuli within a group.
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6

Statistical Analysis of Research Data

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Data collection and management were performed using Microsoft Office Excel 2011. Statistical analyses were performed using IBM SPSS Statistics version 24. Fisher's exact test was used for comparing dichotomous variables where appropriate. Mann-Whitney U test and Wilcoxon Signed Rank test were used for comparing continuous variables where appropriate. Graphs were created in IBM SPSS Statistics version 24.
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7

Reliability of Scapular Measurements

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Data normality was verified by the Shapiro-Wilk test. A two-tailed Student’s t-test and Mann-Whitney U test were used for comparison, as appropriate. To determine the reliability of the measurements, two investigators (M.J., S.E.B.) assessed each measurement independently on 15 control and 15 pathologic scapulae. One investigator (M.J.) repeated all measurements at a minimum time interval of two weeks. Reliability was quantified using intra-class correlation coefficient (ICC) and typical error of measurement (TEM). The interpretation of ICCs was as follows: ≤0.40, poor; 0.401 to 0.600, fair; 0.601 to 0.750, good; 0.751 to 1.000, excellent.12 (link) Statistical tests were conducted at a significance level of p≤0.05. Analyses were performed with SPSS Statistics, version 24.0 (SPSS Inc., Armonk, NY, USA).
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8

Mortality Risk Factors Post-Transplant

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The independent t test was used to determine relationships between continuous variables (expressed by mean±standard deviations), while Pearson’s chi-square test was used for categorical variables (numbers and percentages). Variable with a P value <0.100 in univariate logistic regression modeling was required as a prior condition before being entered into multivariate analysis to identify independent risk factors for 3-month mortality after transplant. Survival comparisons were constructed with the Kaplan-Meier method with log-rank test. All P values are 2-sided and a level ≤ 0.05 was considered statistically significant. We performed all analyses by using SPSS Statistics version 24.0 (SPSS, Inc., Chicago, IL, USA).
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9

Analyzing Behavioral and Molecular Changes in Rats

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All statistical analyses were performed using SPSS Statistics version 24.0 (SPSS Inc., IBM, Armonk, NY, USA). Behavioral data were analyzed using a two-way analysis of variance (ANOVA) with repeated measures, followed by the Bonferroni post-hoc test, whereas the protein and gene expressions were analyzed using a two-way ANOVA with the Tukey post-hoc test or with the Unpaired T-test. Each experimental group consists of 10 rats. Significance for all tests was assumed for p < 0.05. Data are presented as Gardner–Altman plots (Figures 36) or as means ± standard error (SEM) (Figures 2, 79).
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10

Statistical Analysis of Categorical and Continuous Data

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Frequencies were used as descriptive statistics for categorical data. Mean and standard deviations were calculated for continuous data. Intergroup comparisons were carried out using independent Student's t tests. When the data were not normally distributed (Kolmogorov–Smirnov test for normality of continuous data and Levene's test for variance homogeneity), the nonparametric Mann–Whitney U test was performed. All statistical analyses were two‐sided with the significance threshold set at .05 and were conducted with SPSS Statistics, version 24.0.
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