Spss for windows version 21

A second-order CFA using LISREL 9.10 was performed on each student-teacher's responses concerning their SDL competency. The student teacher's SDL sources used two primary resources in the three models. These were their peers and social media. This data was then interpreted for validity using a second-order CFA for the opinions on the student-teachers SDL competency using the harmonization index criteria partially selected from Refs. [74 (link),75 (link)]. IBM's® SPSS® for Windows Version 21 program was used for the descriptive statistics analysis with the analysis interpretation using mean $\stackrel{‾}{}$ scores and standard deviation (SD) scores. Mean score evaluation criteria and interpretation used a five-level Likert-type opinion scale in which 5 was strongly agree (4.50–5.00), 4 was agree (3.50–4.49), 3 was unsure (2.50–3.49), 2 was disagree (1.50–2.49), and 1 was strongly disagree (1.00–1.49).

Patient and microbiological characteristics were compared between infection and colonization, and hvKp and cKp. The chi-square test or Fisher’s exact test was used for nominal variables, and the Mann–Whitney U test was used for continuous variables. Logistic-regression analysis was performed to predict potential risk factors for infection and hvKp, based on odds ratios (ORs) and 95% confidence intervals (CIs). The diagnostic accuracy of the microbiological profiles for hvKp, including the sensitivity, specificity, positive/negative predictive value, or positive/negative likelihood ratio (LR), were calculated using 2 × 2 tables, and the 95% CIs were calculated using MedCalc for Windows, version 16.2 (MedCalc Software, Ostend, Belgium). Statistical significance was defined as a two-tailed p-value of < 0.05, using the 95% CI. All analyses were performed using SPSS for Windows version 21 (IBM Corp., Armonk, NY, USA).

The distribution of continuous variables was evaluated for normality using the Kolmogorov-Smirnov test. Continuous variables with normal distribution are presented as means ± standard deviation, and were compared between groups using the Student’s t-test. Chi-square or Fisher’s exact tests were used to evaluate group differences in categorical variables. Receiver operating characteristic (ROC) curves were constructed to further analyze the usefulness of the coronary bifurcation angles in predicting significant LAD stenosis. In addition, univariate and multivariate binary logistic regression analyses were performed to determine the predictors of LAD stenosis and the hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated. All statistical analyses were performed using SPSS for Windows, version 21 (IBM Corporation, Chicago, IL). A two-tailed P-value <0.05 was considered significant.

Data were analyzed for descriptive statistics using SPSS for Windows, version 21 (IBM, SPSS, Chicago, IL, USA).

The sample data were entered and analyzed using SPSS for Windows, version 21 (IBM Corp.: Armonk, NY, USA). The characteristics of the study population and prevalence of suicidal ideation and attempt were presented as frequencies. To determine the factors contributing to suicidal ideation and suicide attempt, univariate and multivariate logistic regression analysis was conducted. The factors that were significant at the 5% level in univariate analysis were included in multivariate analysis. Three models were developed: the first comprised demographic and socio-environmental factors, the second comprised psychological and behavioral factors and the third comprised all of the factors that were significant in models 1 and 2. The analysis in three different models was intended to see the influence of personal (psychological and behavioral), non-personal factors, and integrated influence of all factors. Unadjusted and adjusted odds ratios (AORs) were presented with the 95% confidence intervals (CIs) and p values. The Hosmer and Lemeshow test was applied to determine the goodness of fit of the models, and all three models had a good fit with the observed values.