Participants were residents in the region of Ghent, a medium sized city in Belgium. A sample of 4–10-year-old children was recruited using a multistage cluster sampling technique. First, three school committees were randomly selected in the region of Ghent and they all agreed to participate (a school committee manages/governs one or more schools). In total, these three school committees included five different school residences/locations. All 17 (pre)school classes in these five schools were selected as final cluster units. All the children from these 17 selected classes were invited to participate (only the eldest child in case of brothers/sisters) between September 2011 and July 2012. A randomised controlled trial design was used to allocate classes randomly to either receive instruction leaflets for parents describing how to measure their child's weight and height accurately at home (intervention group) or not to receive any instruction leaflet (control group). Simple randomisation was used to allocate the classes to the intervention or control group, by means of the Statistical Package for the Social Sciences (SPSS) for Windows V.20, using the procedure ‘select random sample of cases’. Eight classes were randomly allocated to the intervention group and nine classes to the control group.
Spss v 20 for windows
Manufactured by IBM
Sourced in United States, United Kingdom
SPSS v.20 for Windows is a statistical software package developed by IBM. It is designed to analyze and manipulate data, perform statistical tests, and generate reports. The software provides a wide range of data management and analysis tools, including descriptive statistics, regression analysis, and data visualization.
Automatically generated - may contain errors
Lab products found in correlation
73 protocols using spss v 20 for windows
1
Assessing Child Anthropometric Measures
2
Immune Cell Profiling in Tumor Microenvironment
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Data were organized in an Excel worksheet and evaluated using a statistical software package (SPSS for Windows v.20; SPSS Inc.). The intraclass correlation was used to assess inter-rate reliability between the two investigators (indicating a high level of consistency). The average intraclass correlation coefficients (ICCs) ranged from 0.900 to 0.996, with a 95% confidence interval between 0.865 and 0.995 (F (30) = 452.147, p < 0.001).
The Shapiro–Wilk normality test revealed that the mean of CD3 and CD20 were nonparametric in intra-tumoral and peripheral tumoral areas, while age was normally distributed. A one-way ANOVA test and a Mann–Whitney U test was used to test for differences among the means of the parametric and nonparametric datasets. Spearman’s rho test was applied to find the correlation between the means of two markers and clinicopathological parameters. Furthermore, Chi-square and Fisher’s exact tests (used for those with an expected count of less than 5) were used to compare the scores of the immune cell subsets among groups. Lastly, to reveal the discriminative power of expression of each marker when predicting the epithelial composition, binominal logistic regression analysis was applied. Statistical significance was assumed for p-values < 0.05.
The Shapiro–Wilk normality test revealed that the mean of CD3 and CD20 were nonparametric in intra-tumoral and peripheral tumoral areas, while age was normally distributed. A one-way ANOVA test and a Mann–Whitney U test was used to test for differences among the means of the parametric and nonparametric datasets. Spearman’s rho test was applied to find the correlation between the means of two markers and clinicopathological parameters. Furthermore, Chi-square and Fisher’s exact tests (used for those with an expected count of less than 5) were used to compare the scores of the immune cell subsets among groups. Lastly, to reveal the discriminative power of expression of each marker when predicting the epithelial composition, binominal logistic regression analysis was applied. Statistical significance was assumed for p-values < 0.05.
3
Mortality Risk Factors Analysis
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Categorical variables were expressed as absolute numbers and their relative frequencies; continuous variables were expressed as median and interquartile ranges (IQR). The categorical variables were compared using the χ2 or Fisher exact test, while the continuous variables were evaluated using the Student t-test (for normally distributed variables) or Mann–Whitney U test (for non-normally distributed variables). The variables that reached a statistical significance (p < 0.05) in the univariate analysis were analyzed using a multivariate logistic regression analysis to identify the independent risk factors for 30-day mortality. The results were expressed as odds ratios and 95% CIs. All the statistical analyses were performed using the statistical package SPSS for Windows v. 20 (SPSS Inc., Chicago, IL, USA). A p value of <0.05 was considered to represent statistical significance and all the statistical tests were two-tailed.
4
Volumetric Brain Imaging Comparison
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Voxel-wise between-group statistical comparisons were performed on smoothed grey and white matter and CSF images using the general linear model based on random Gaussian field theory (Friston et al., 1995 ). Standard parametric statistical paired t-tests (p < 0.05) that were corrected for multiple comparisons using the family wise error (FWE) statistical threshold were then used to investigate differences in whole-brain grey and white matter and CSF between the ADNI-1 and ADNI-2 pulse sequences. Significant regional differences between groups were displayed using a standard T1-weighted canonical overlay.
Volumetric analysis was performed using SPSS for windows (v20). Initially, paired t-tests were used to assess volumetric differences between pulse sequences.
Volumetric analysis was performed using SPSS for windows (v20). Initially, paired t-tests were used to assess volumetric differences between pulse sequences.
5
Immunocompetence Measurement Protocol
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
All statistical tests were run with SPSS for Windows (v. 20). Total hemocyte counts, melanisation/mean grey values, and mean diameters of inhibition zones were not normally distributed. Thus, non-parametric statistics were applied25 (link),26 (link). Each immunocompetence measure was compared across treatments using Kruskal–Wallis tests (KWT) followed by post-hoc pair-wise comparisons with Mann–Whitney U tests (MWU) and Bonferroni corrections (when more than two groups were compared)25 (link),26 (link). In order to calculate the repeatability of the functional measurements, we first applied a one-way ANOVA and subsequently calculated the approximate repeatability values from the F ratio and mean squares among groups/mean squares within groups according to Lessells and Boag60 (link).
6
Evaluation of Anti-Inflammatory Activity
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
All experiments were performed in triplicate. Data were expressed as mean ± SD, and differences between means were analyzed using software program SPSS for Windows, V. 20 (SPSS, Inc.; USA). Datasets involving more than two groups were assessed by one-way ANOVA followed by Duncan’s multiple range test, and differences indicated by differing superscript letters were considered statistically significant (p < 0.05). Comparisons between means of two groups were analyzed using Student’s t-test, and differences with p < 0.05 or p < 0.01 were considered significant or highly significant, respectively [18 (link)].
7
Fertilizer Treatment Effects Analysis
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Statistical analysis was performed using the statistical software program SPSS for Windows (v. 20). All data sets satisfied the assumptions of ANOVA based on the homogeneity of variances and normality. The comparison of the effect of the fertilizer treatments in each year was provided by one-way ANOVA. When significant differences were found (α < 0.05), the means were separated by the multiple range Tukey HSD test (α = 0.05).
8
Factors Associated with Depression and Suicidality among Police Officers
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
All data entry, cleaning and subsequent data analysis were completed using SPSS for Windows V.20. In data cleaning, we performed missing value analysis and identified out-of-range values by running frequency tests for each variable and did the amendments accordingly. Out of 550 enrolled participants, 497 (90.4%) police officers who responded to at least one of the general sociodemographic questions were included in the initial analysis. In bivariate and multivariate analyses for depression, 486 participants of the initial 497 police officers were considered for analysis as they responded to at least five of the questions on the PHQ-9 depression tool. For suicidality, we included 413 participants who responded to the ninth item on the PHQ-9 that assessed suicidal ideation. Eighty-four participants did not respond to this item, hence they were excluded in the final suicide analysis.
In the bivariate and multivariate analyses, the ORs with corresponding 95% CI were used to determine associations between sociodemographic factors, perceived social support, depression and suicidality. All factors were included in the multivariate regression analysis regardless of their level of significance in bivariate regression and the statistical significance level was set at 0.05.
In the bivariate and multivariate analyses, the ORs with corresponding 95% CI were used to determine associations between sociodemographic factors, perceived social support, depression and suicidality. All factors were included in the multivariate regression analysis regardless of their level of significance in bivariate regression and the statistical significance level was set at 0.05.
9
Predictors of Anemia in Women and Children
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Statistical analysis of data was performed using SPSS for Windows (v20). The normality of data was checked by Shapiro–Wilk test and Q–Q plots. The dependent variable was binary indicating the presence of anemia among WRA and children separately (not anemic = 0 and ANEMIC = 1). Association between the dependent variable and sociodemographic factors (age, sex, education level, marital status, and agricultural and WASH factors) and anthropometry indicators was evaluated using the Pearson Chi‐square test. Significant associations from the Pearson Chi‐square test at p < .05 were formulated into two multiple logistic regression analysis models: Model 1 on predictors of anemia in children 6–59 months old and Model 2 which evaluated the predictors of anemia in WRA.
10
Epidemiological Study of Bell's Palsy
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
The information and data from the study were entered into an electronic database (SPSS® for Windows®V.20). The demographic data were analyzed through frequency distribution, and the relation between various risk factors was analyzed by a chi-square test, Fishers exact test, and likelihood-ratio test. The total population of the Qurayyat region of Saudi Arabia in the year 2020 was 180,430, according to the Ministry of Health (MOH), Saudi Arabia (MOH, 2018 ). The incidence rate was calculated as the number of new Bell’s palsy cases that appeared annually per 100,000 population. The incidence rate was calculated by dividing the total number of cases identified (n = 279) by cases with the total population (n = 180,430) at the region per 100,000 per year.
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!