Data were analyzed via the SPSS for Windows software (v. 16.0). The measures of descriptive statistics were used to describe participants’ characteristics and MBSRQ scores. The independent-samples t test and the one-way analysis of variance (ANOVA) were conducted to compare the mean MBSRQ scores between the participants’ subgroups. The paired t test was used to compare the mean MBSRQ scores and its dimensions before and 1 month after the surgery. Pearson correlation coefficient was used to examine the correlation between BI score, age and BMI. Moreover, multiple regression analysis was used to examine the effects of demographic and clinical characteristic on BI. To this end, first, the backward model was conducted with the removal criterion of P > 0.20. Then, all the remaining variables with P < 0.20 were again entered into the model and analyzed using the forward method. Before we perform the multiple regression analysis, the categorical variables were first converted to dummy variables to represent subgroups of the samples. Also, to enter the ordinal variables to the model, we coded them as 0, 1, 2, and so on. Age and BMI entered the model as continuous variables. P values< 0.05 were considered significant.
Spss for windows software v 16.0
Manufactured by IBM
Sourced in United States
SPSS for Windows software (v. 16.0) is a statistical analysis software package that allows users to perform a variety of data analysis and data management tasks. The software provides tools for data entry, data manipulation, statistical analysis, and data visualization.
Automatically generated - may contain errors
Lab products found in correlation
6 protocols using spss for windows software v 16.0
1
Body Image Evaluation Before and After Surgery
2
Spearman's Correlation and Non-parametric Analyses
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Data was expressed as M ±SD. Statistical analysis was performed using the SPSS for Windows software, v. 16.0 (SPSS Inc., Chicago, USA). For statistical analysis, Spearman's correlation test, the Mann-Whitney U test and the Kruskal-Wallis test were used with the software. Statistical significance was set at p < 0.05.
3
Comparative Analysis of CNM Treatment
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The data were presented as mean ± standard deviation, and statistical analysis was performed using IBM SPSS software for Windows (v 16.0; SPSS Inc, Chicago, IL, USA). The significance of differences between the control group and the CNMs treated group was determined by the independent-sample student’s t-test. p values < 0.05 were considered statistically significant.
4
Statistical Analysis of Diagnostic Tests
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The SPSS software for Windows V 16.0 (SPSS Inc., IL, USA) and Microsoft Excel were used for statistical analysis and calculation of the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV), respectively.
5
Syphilis and Stillbirth Risk Factors
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Data were analyzed using SPSS software v.16.0 for Windows. Categorical variables were presented as numbers and frequencies. The demographic characteristics of the women infected with syphilis were noted. The chi-square test was used to compare the prevalence of specific characteristics in women who did or did not suffer from stillbirths. The odds ratios (OR) and their 95% confidence intervals (CI) of the factors associated with stillbirth were estimated using univariate and multiple logistic regression models. P values under 0.05 were considered statistically significant. All tests were two-tailed. To count all births, women with one or more pregnancies during the study period were counted per pregnancy. Only women who were treated with two courses of penicillin injections were considered adequately treated. Maternal demographic characteristics, syphilis conditions, utilization of PMTCT, and antenatal care services were considered as factors that can affect stillbirth.
6
Comparing Pain, Numbness, and Grip Strength
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Statistical analysis was performed using the statistical package for social sciences (SPSS) software, v.16.0 for Windows. Fisher’s exact test was used to compare the difference in pain and numbness. Differences in grip strength were determined using paired t-tests. p values < 0.05 were considered to be statistically significant.
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