SPSS 21 program (Chicago, USA) was used for data analysis. As a descriptive analysis, the mean ± standard deviation was given when assumptions were met for numerical variables, and when not met the median and the smallest-largest values were given. For categorical variables, numerical and percentage values were given. The t-test was used in independent groups when assumptions were met in intergroup comparisons of numerical measurements, when not met the Mann-Whitney U test was used. For the comparisons between the categorical variables, the chi-square test was used. A value of p < 0.05 was considered statistically significant.
Spss 21 program
Manufactured by IBM
Sourced in United States
SPSS 21 is a statistical software program developed by IBM. It is designed to analyze and visualize data. The program provides a range of statistical techniques and tools for data management, analysis, and reporting.
Automatically generated - may contain errors
Lab products found in correlation
11 protocols using spss 21 program
1
Statistical Analysis of Numerical and Categorical Data
2
Convention Industry Workers' Core Competencies
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The sample analyzed in the research has a size of 242 and was collected among convention industry workers. Researchers explained the purpose to the subjects, and upon their agreement it was conducted in a self-administered method. The research materials were collected from 4th October 2018 to 5th December 2018 both online and offline. Collected materials were analyzed with Statistical Package for the Social Sciences (SPSS) 21 Program. The collected data were analyzed by conducting frequency analysis to understand the characteristics of the data. To evaluate the validity and reliability, principal factor analysis with varimax rotation was conducted on all statements. The hierarchical cluster analysis using the Ward method and the K-means cluster analysis were combined to subdivide the group according to the job characteristics of the convention project manager. Discriminant analysis was then applied to detect whether any significant differences existed among the three groups. Cross-tabulations analysis was performed to verify the difference in demographic profile according to the job characteristics of the convention project manager. Finally, multivariate analysis of variance (MANOVA) and analysis of variance (ANOVA) were conducted to verify the difference in core competencies for each group according to the recognition of job characteristics of convention workers.
3
Development and Validation of CRCG Psychometric Scale
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Initially, for the development and analysis of the psychometric characteristics of the CRCG, a principal components exploratory factor analysis (EFA) was carried out, after which we confirmed the factor structure found with a confirmatory factor analysis (CFA). To determine the invariance by gender of the obtained model, we performed a multi-group analysis. The stability and factor loadings of the model were established with the bootstrap method. Subsequently, we calculated correlations and comparisons of means to establish convergent and nomological validity. The reliability of the CRCG was calculated using Cronbach’s alpha, the composite reliability coefficients and the AVE. The EFA and correlations were performed with the SPSS-21 program, while for the CFA, the AMOS-21 program was used.
4
Antibacterial Efficacy Evaluation Protocol
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The data will be tabulated and presented in a descriptive and analytical manner. Descriptive statistics will involve the determination of frequency, mean and standard deviation values. The Kolmogorov-Smirnov test will be used to determine the distribution of the data (normal or non-normal). Depending on the distribution, differences between groups regarding mean CFU and percentage reduction in bacteria will be determined using either the t test, analysis of variance (ANOVA) or the Mann-Whitney test. The Wilcoxon test will be used for comparisons before and after treatment. P values < 0.05 (95 % significance level) will be considered indicative of statistically significant differences. All statistical analyses will be conducted with the aid of the SPSS 21 program (SPSS Inc., Chicago, IL, USA).
5
Nonparametric Analysis of Repeated Assessments
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Nonparametric statistical tests were used because the data were not normally distributed as tested with the Shapiro–Wilk and Kolmogorov–Smirnov tests. The Wilcoxon Signed Rank exact two-tailed test was used for analyzing within-participant changes between repeated assessments, and the Mann–Whitney U test was used for between-group comparisons. The Fisher’s Exact Test was used for categorical data. A p value < .05 was considered statistically significant. Bonferroni correction lowered the significance level to .025 in the test–retest comparisons. The SPSS® 21 program was used for the statistical analyses.
6
Paired t-test Analysis in SPSS
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For statistical analysis IBM SPSS 21 program (New York, USA) was used. Paired t-test was utilised with significance set at p = 0.05.
7
IVIG Responsiveness Factors Analysis
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To compare the two patient groups, the chi-square and Mann–Whitney tests were used for categorical and continuous variables, respectively. Multivariate analysis using a binary logistic regression test was performed for statistically significant factors in the comparison between the IVIG-responsive and IVIG-resistant groups to determine the independent factors associated with IVIG resistance. As a subgroup analysis, the same analyses were performed for patients who received IVIG 2 g/kg, excluding those who received IVIG 1 g/kg. The SPSS 21 program (IBM Corporation, Armonk, NY, USA) was used for statistical analyses. The threshold for statistical significance was defined as a p-value of 0.05.
8
Hepatitis B Vaccine Response After Chemotherapy
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The subjects were divided into HBsAb negative and positive patients based on their HBsAb titer after chemotherapy. Demographic and clinical data were compared between these two patient groups. Based on the HBsAb retest results determined after one dose of HBV vaccine in patients who received an HBV vaccination after chemotherapy, patients were divided into those with and without an anamnestic response, and then the two groups were compared. For comparison of continuous data and categorical data between the patient groups, Mann-Whitney U and Fisher’s exact tests were applied, respectively. The SPSS 21 program (IBM Corporation, Armonk, NY, USA) was used for statistical analyses, and statistical significance was defined as a p-value <0.05.
9
Fluoride Release and Extracellular Matrix
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Original data from all evaluations were analyzed using Shapiro-Wilk normality test, before applying parametric tests. Nonparametric tests were used when variance was not homogeneous. Data for EDS, SR, SH, WS, and SL were analyzed using a one-way ANOVA test, followed by Tukey's post hoc test. Kruskal-Wallis and Friedman tests were also used to statistically compare fluoride release and ECM data, whereas the two-way ANOVA was used to compare MTT data. Statistical analyses were carried out using the SPSS 21 program (IBM Brazil, São Paulo, SP, Brazil) and BioEstat 5.3 (Mamiraua Institute, PA, Brazil), with a statistical significance level of 5%.
10
Personality Traits and Dietary Choices
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The IBM SPSS 21 program and J.T. Newsom’s macro were used for statistical calculations. Basic statistics of the studied variables were calculated (for diet quality indexes and personality traits: mean and standard deviation; for frequency of consuming selected product groups: median and minimum, maximum). To compare the intensity of personality traits and diet quality indexes (beneficial and unfavorable food choices) between students from Poland and Spain, the t-test was used with independent estimation of variance. Spearman’s non-parametric correlation analysis was applied to determine the relationship between the Big Five personality traits and the frequency of consuming selected product groups, while Pearson’s correlation analysis was applied for dietary health quality indexes. To define the differences in relationships between personality traits and the quality of students’ nutritional choices, moderation analysis was used along with simple slopes. The assumed level of statistical significance was p = 0.05.
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