The primary outcome was to determine the incidence of rubber coring, and the secondary aim was to establish the factors which caused it. Data were analyzed using SPSS version 20.0 statistical software. Quantitative variables were reported as mean and range while categorical variables were given as count (percentage). Statistical analysis was performed with a non-parametric test (Mann-Whitney, Kruskal-Wallis test) for quantitative variables and Fisher's test for categorical variables, and a value of P < 0.05 was considered significant. All analyses were performed with SPSS version 20.0 statistical software.
Spss version 20.0 statistical
Manufactured by IBM
Sourced in United States
SPSS version 20.0 is a statistical software package developed by IBM. It provides a comprehensive set of tools for data analysis, including descriptive statistics, regression, and multivariate techniques. The software is designed to handle a wide range of data types and allows users to perform advanced statistical analyses.
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Lab products found in correlation
9 protocols using spss version 20.0 statistical
1
Incidence and Factors of Rubber Coring
2
Multivariate Analysis of Continuous Variables
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The data was entered in to “EpiInfo version 3.1” and was exported to SPSS version 20.0 statistical software for analysis Normally distributed and continuous variables were expressed as mean ± standard deviation (SD), and non-normally distributed variables were presented as medians (quartiles 25 and 75%). Chi-square (×2) test was used to compare proportions. Multivariate logistic regression was used to calculate adjusted odds ratios (OR) and the corresponding 95% confidence intervals (CI). P value < 0.05 was used to indicate statistical significance.
3
Evaluating Intestinal Parasite Diagnostics
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Data was entered by using Epi-data version 3.1 and data analysis was done using SPSS version 20.0 statistical software. Since there was no reference diagnostic method for intestinal parasites, the sensitivity (Sn), specificity (Sp), negative predictive value (NPV), and positive predictive value (PPV) were determined for each diagnostic method by taking the combined results as the diagnostic “Gold“ standard. Kappa value was calculated to determine the strength of agreement on the diagnostic method. Finally, a P-value<0.05 was considered as statistically significant.
4
Parasitic Infection Prevalence Analysis
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For data entry and analysis SPSS version 20.0 statistical software was used. Overall socio demographic, clinical characteristics and specific prevalence was calculated using descriptive statistics of the sample through frequencies and cross tabulations. The association or crude odds ratio of parasitic infections with the independent variables was calculated using bivariate logistic regression analysis. Association was established by multivariable logistic regression analysis; the 95% confidence intervals (CI) and P < 0.05 was considered for statistical significance.
5
Statistical Analysis of Experimental Data
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The results were statistically analyzed by one‐way analysis of variance (ANOVA) with Duncan test (p < .05) and T test using SPSS version 20.0 statistical software (SPSS, Inc.). All experiments were carried out in triplicate.
6
Dietary Diversity and Meal Frequency Analysis
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Data were entered and cleaned using EPI-info version 3.5.3 statistical software and then exported to SPSS version 20.0 statistical software for analysis. Dietary diversity and meal frequency variables were dichotomized as category 0 for not meeting the minimum criteria and otherwise taken as category 1. Descriptive statistics were done. Bivariate logistic regression analysis was used to assess the association between each independent variable with the dependent variables. Those variables that have been associated with the dependent variables at p-value of less than 0.2 were fitted in to multivariate logistic regression models to control the effects of confounding. Those variables having p- value of less than 0.05 was considered as significant.
7
Analyzing Pregnancy and Fetal Complications
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We use Fisher's exact test to analyze the possible influencing factors of pregnancy and fetal complications, new born complications and child death. The OR value was calculated to analyze the correlation between the influencing factors and complications. Statistical analysis was performed with SPSS version 20.0 statistical software. All P values were two-sided with a P < 0.05 considered statistically significant.
8
Factors Influencing IUCD Utilization
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After manual cleaning, data entry were done using EPI- Info version 3.5.3. and analysis was done using SPSS version 20.0 statistical software. During analysis the variables defined, categorized and recoded then frequencies of the different variables and cross- tabulations determined. Odds ratio used to show statistical significant level of association between independent variables with IUCD utilization at p-value < 0.25 and < 0.05 for Binary and Multivariate Logistic Regression respectively.
9
Statistical Analysis of Experimental Data
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All the data in this study were processed using SPSS version 20.0 statistical analysis software (SPSS Inc., Chicago, IL, USA). Measurement data are presented as mean ± standard deviation ( ), and the comparisons between groups were analyzed using one-way analysis of variance (ANOVA). If there was a difference in the mean value of the groups, the Newman-Keuls method was used to compare the mean value between groups, and χ2 analysis was used to compare discrete data and percentages (%) to present such data.
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