The coded data were checked, cleaned, and entered into epi.info version 3.5 and then exported into Statistical Package for the Social Sciences (SPSS) window version 20 for analysis. Descriptive statistic was used to explain the study participants in relation to study variable. Bivariate and multivariate logistic regression analyses were conducted to identify associated factors of depression among people with epilepsy. The strength of the association was interpreted by odds ratio with 95% CI, and the p-value less than 0.05 was considered as statistically significant.
Spss window version
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SPSS (Statistical Package for the Social Sciences) is a software package used for interactive or batched statistical analysis. The SPSS window version provides a graphical user interface for performing various statistical analyses and data management tasks.
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Lab products found in correlation
7 protocols using spss window version
1
Identifying Depression Factors in Epilepsy
2
Multivariate Analysis of Binary Outcomes
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The data was coded, checked, cleaned and entered into computers using software Epi Info version 3.5.4 and then exported into SPSS window version 20 for analysis. Frequency, percentage, median were used to describe relevant variables using tables and graphs. Logistic regression was performed to assess the association between binary outcomes and different explanatory variables. Bivariate analysis was first conducted for each potentially explanatory risk factor. Variables that satisfied p-value < 0.2 were selected for further analysis using multivariate logistic regression analysis in order to control confounding effects.
The strength of association was interpreted using odds ratio (OR) and confidence interval (CI). P-value < 0.05 was considered statistically significant in this study.
The strength of association was interpreted using odds ratio (OR) and confidence interval (CI). P-value < 0.05 was considered statistically significant in this study.
3
Adolescent-Parent Communication on Sexual Health
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To ensure the quality of the data, all the filled questionnaire were checked for incompleteness and inconsistency. Data were edited, coded and entered using EPI Info version 3.5.1 and then transport to SPSS window version 16.0 for statistical analysis. Descriptive statistical analysis was used to compute frequency, percentage and mean for independent and dependent variables. Binary logistic regression analysis was used to ascertain the association between explanatory variables and outcome. Variables with significant association in the bivariate analysis were entered in to multivariate analysis to determine independent associated factor of adolescent-parent communication on sexual and reproductive health issues. Variables with P value less than 0.05 was considered as significant Qualitative data was transcribed through replaying the tape recorded interview from focus group discussion. The text was thoroughly read and similar ideas bring together. Their inductive meanings were extracted and described in narratives using well said verbatim of participants. The verbatim of participants were transcribed by the three authors independently to confirm the reliability of the finding. The qualitative study findings were triangulated with the quantitative results.
4
Determinants of Hepatitis Knowledge, Attitude, and Practice
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The collected data were coded, and entered into Epi data version 4.6.0.2. Then, the data were exported to SPSS window version 25 for further analyses. Descriptive analyses such as: simple frequencies, measures of central tendency, and measures of variability were used to describe the characteristics of the participants. Bivariable analyses was done and independent variables that yield p-value of ≤ 0.25 were included in the multivariable analyses to control all possible confounders and to detect true predictors of knowledge, attitude and practice towards hepatitis and C infection among adults. Multi-collinearity was checked. Normality test was conducted. An adjusted odds ratio with 95% CI was estimated to identify the factors associated with knowledge, attitude and practice towards hepatitis. The level of statistical significance was declared at p-value ≤ 0.05.
5
Factors Associated with Neural Tube Defects
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The collected data was checked for its completeness and cleaned before entry into the computer. Then, the data was coded, cleaned, edited, and entered into Epi Data version 4.6 and exported to SPSS window version 26 for analysis. Descriptive statistics were presented in frequency, tables, texts, and summary measures. Bivariate and multivariate analyses were done to observe the association between each independent variable and outcome variable by using binary logistic regression. The goodness of fit was checked by the Hosmer-Lemeshow statistic at a P-value of greater than 0.05. All variables with P < 0.25 in the bivariate analysis were included in the final model of multivariate analysis in order to control all possible confounders. The statistical association was measured by odds ratio with 95% CI. Adjusted odds ratio along with 95% CI was estimated to identify the associated factors with Neural tube defects by using multivariate analysis in binary logistic regression. In this study, a P-value < 0.05 was considered statistically significant.
6
Postpartum Depression Risk Factors
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The data were coded, checked, cleaned and entered into Epi data version 3.1 and then exported to SPSS window version 20.0 for analysis. Descriptive statistics such as frequencies and percentages were performed. Bivariate analysis was done to find an association between each independent variable with postpartum depression. Finally, multivariable logistic regression was used to find out the independent variables which influence postpartum depression. All associations between dependent and independent variables and statistical significance were measured using odds ratio at 95% confidence interval and p-value less than 0.05.
7
Predictors of Lupus Nephritis Treatment
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First, the data were checked for completeness and consistency. The data were cleaned, then entered to Statistical Package for Social Science (SPSS) window version 25 for analysis. Descriptive statistics included mean and standard deviation for continuous variables and frequency and percentage for categorical data was used to summarize socio-demographic and clinical characteristics of the study participants. Logistic regression analysis was performed to identify the independent predictors of treatment outcome of LN patients. After checking the absence of collinearity among variables, variables in univariate analysis with p-value ≤ 0.25 were further analyzed in multivariate logistic regression to control the effect of confounders. Odds ratio (OR) was used to measure association of dependent and independent variables where 95% confidence interval (CI) and P < 0.05 value was utilized to determine statistical significance.
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