Kruskal–Wallis test was used to compare data, and statistical program (SPSS Statistics for Windows, v20; IBM Corp., Armonk, NY, USA) was used to determine the Spearman correlation. The microconditions of the specimens were monitored using scanning electron microscope (SEM) imaging (JSM-6360; JEOL, Tokyo, Japan).
Spss statistics for windows v20
Manufactured by IBM
Sourced in United States
SPSS Statistics for Windows v20 is a software application used for statistical analysis. It provides a comprehensive set of tools for data management, analysis, and reporting. The software is designed to handle a wide range of data types and supports a variety of statistical techniques, including descriptive statistics, regression analysis, and hypothesis testing.
Automatically generated - may contain errors
Lab products found in correlation
31 protocols using spss statistics for windows v20
1
Microcondition Analysis of Specimens
2
Statistical Analysis of Thyroid Cancer Data
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
IBM SPSS Statistics for Windows v20 (IBM Corp., Armonk, NY, USA) was used for statistical analysis of data. The obtained data are presented as the mean ± standard error (SE) and median; interquartile range (IQR), depending on the data normality. The data normality distribution was tested with the Kolmogorov-Smirnov test. For evaluation of significant difference between experimental groups, Student’s t, Mann-Whitney, Wilcoxon signed rank and χ2 tests were used. For correlation analyses between biochemical parameters with demographic and clinical characteristics the Pearson and Spearman tests were used. Simple and multiple linear regression tests were used for assessment of the predictive value of single and multiple parameters for different clinical characteristics. The Kruskal-Wallis H test was used to infer the difference of biochemical parameters values between different TNM stages of PTC patients. Two-step cluster analysis with log-likelihood distance measurement was used to determine AOPP, total thiols, DNase I and DNase II activity clustering pattern based on the demographic characteristics, clinical and pathological parameters according to Schwarz’s Bayesian criterion. Differences were considered statistically significant at p < 0.05.
3
Cerebral Amyloid Burden and Vitamin Intake
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
All statistical analyses were performed using IBM SPSS statistics for Windows, V.20 (IBM Corp). Mann–Whitney U tests, Kruskal–Wallis tests, and simple correlation analyses were used to analyze associations between variables. We also assessed the relationship between vitamin intake, MMSE score, and SUVR (cerebral Aβ burden) using Pearson’s correlation coefficients and multiple linear regression analyses adjusted for age, sex, and body mass index (BMI). APOE4 as a covariate in the primary model was excluded to avoid variance inflation given its high correlation with cerebral Aβ burden (25 (link), 26 (link)). A P-value of < 0.05 was considered statistically significant. Data for all study variables are expressed as means ± standard deviations.
4
Comparative Molecular Analysis of Cellular Pathways
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Data was statistically analyzed by paired t-test and one-way ANOVA (POSTHOC Duncan’s multiple-range) test performed using IBM SPSS statistics for Windows, V.20 (IBM Corp). The number of replicates used for each experiment are mentioned under their respective headings in the material and method section.
5
Cerebral Amyloid Burden in Vascular Cognitive Impairment
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
All statistical analyses were performed using IBM SPSS statistics for Windows, V.20 (IBM Corp). Variables such as age, education, MMSE, Digit span, K-BNT, RCFT, and SUVR, which showed normal distribution, were compared between groups using one-way ANOVA. Bonferroni post-hoc analysis was used for between-group comparisons. The Fazekas rating, which was not normally distributed, was compared using the Kruskal Wallis test. Differences in sex, APOE4+, and Aβ positivity were compared between groups using Fisher’s exact test. Differences in regional and composite SUVR (cerebral Aβ burden) between low- and high-WML groups were evaluated using an independent two-sample t-test. Additionally, we assessed the relationship between the SUVR and Fazekas rating using Spearman’s correlation analysis and multiple linear regression analysis, adjusted for age and sex. We did not include the apolipoprotein E4 gene as a covariate in the primary model to avoid variance inflation, given its strong correlation with cerebral Aβ burden [19 (link)]. A P value of <0.05 was considered statistically significant. Data for all study variables are expressed as means ± standard deviation.
6
Assessing Technical Quality of RCTs
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Statistical analyses of data were performed using IBM SPSS Statistics for Windows v20 (IBM Corp., Armonk, NY). Statistical significance was set at p < 0.05. The chi-square test was used to determine statistically significant differences in the technical quality of RCTs and frequency of procedural errors between the two academic levels and among tooth types.
7
Diagnostic Performance of Biomarker Tests
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
ROC analysis was used to establish cut-off points for each TM at a specificity of 100%.
Sensitivity, specificity, negative predictive values (NPV) and positive predictive values (PPV) were calculated for each TM and for the combination of TM. All statistical analyses were performed using IBM® SPSS® Statistics for Windows v.20 (IBM Corporation, Armonk, New York, USA) and Stata® v.10 (StataCorp LP, College Station, Texas, USA).
Sensitivity, specificity, negative predictive values (NPV) and positive predictive values (PPV) were calculated for each TM and for the combination of TM. All statistical analyses were performed using IBM® SPSS® Statistics for Windows v.20 (IBM Corporation, Armonk, New York, USA) and Stata® v.10 (StataCorp LP, College Station, Texas, USA).
8
Statistical Analysis of Group Differences
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Comparisons between the groups were statistically analyzed using one-way variance analysis (ANOVA) and post hoc comparisons with Tukey test via IBM SPSS (SPSS Statistics for Windows, v20; IBM Corp., Armonk, NY, USA). A statistical significance value of P < 0.05 was used in all tests.
9
Comparative Analysis of University Student Knowledge
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Descriptive statistics were utilized to present the characteristics of the sample, thus, the means and standard deviations (SD) were calculated. We utilized a Student’s t test to compare the age of the students, and Chi-square tests to examine the differences as a function of the type of university (UA, UCAM), and the level of education (Lower = 1st–2nd year, Upper = 3rd–4th year) in all the items of the questionnaire. Additionally, the OR of each item and the 95%CI were calculated, by comparing a specific answer with the rest of them. The statistics tests utilized a one-way ANOVA to establish statistically-significant groups, mean differences in the scores of the subscales of knowledge and attitude, for the categorical variables selected: university, level of education. Poor or good knowledge were considered if a score 2SD from the mean was obtained for each of the questions.
All the analyses were performed with the statistical program SPSS Statistics for Windows v20 (SPSS v20, IBM Corp., Armonk, NY, USA). The level of accepted statistical significance was p < 0.05.
All the analyses were performed with the statistical program SPSS Statistics for Windows v20 (SPSS v20, IBM Corp., Armonk, NY, USA). The level of accepted statistical significance was p < 0.05.
10
Analysis of TMQR and Ciprofloxacin Resistance
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
The data were collected in a Microsoft Excel spreadsheet and imported to IBM SPSS Statistics for Windows v.20 (IBM Corp, Armonk, NY). A chi-squared test of independence or Fisher exact test was performed to determine whether there was a significant relationship between TMQR and other categorical variables. The difference in ciprofloxacin MIC among TMQR positive and negative isolates was investigated by the Mann-Whitney U test. A cutoff value of ≤ 0.05 for the P-value was considered for statistical significance.
About PubCompare
Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.
We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.
However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.
Ready to get started?
Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required
Revolutionizing how scientists
search and build protocols!