Spss 24 statistical software for windows

A total of 1820 questionnaires were processed by using SPSS 24 Statistical software for Windows.
First, a descriptive analysis of vaccine knowledge, beliefs and misconceptions was conducted, describing the sample as agree/ disagree/don't know to the items.
Univariate and multivariate analyses were conducted to estimate the impact of the socio-demographic frame, trust in the healthcare system and information sources on the level of each woman's vaccine knowledge. Based on data collected from the section 'interviewee's vaccine knowledge, beliefs and misconceptions', in univariate analysis, the dependent variable was described as 'high knowledge level' or 'low knowledge level'. If the number of 'agree' and 'don't know' on false myths was at least 4 out of 13, the interviewee was considered to have a 'low knowledge level'. In contrast, if the number of 'agree' and 'don't know' on false myths was at most 3 out of 13, the interviewee was considered to have 'high knowledge level'.
The covariates included in the final model were selected using a stepwise forward selection process, with the criterion of a P values at univariate <0.25. 20 The results are expressed as odds ratios (OR) with 95% confidence intervals (CIs) and the P values 0.05 was considered significant for all analyses.

After the data collection, all participating centres mailed the original paperwork of the questionnaires filled in anonymously to the Department of Public Health and Pediatrics at the University of Turin.
A total of 1820 questionnaires were processed using SPSS 24 Statistical software for Windows.
First, a descriptive analysis of all the variables was conducted. The major outcome was the interviewee's opinion on the restoration of mandatory vaccines. The variables included in the analysis were as follows: the socio-demographic data, any previous pregnancies, the pregnancy quarter, the willingness to vaccinate the newborn, the different ways of obtaining the information and the degree of trust in healthcare workers.
A logistic regression was conducted to estimate the impact of some variables on the above-described outcomes. The covariates included in the final model were selected using a stepwise forward selection process, with the criterion of a P value at univariate <0.25 [32] (link). These associations are expressed as odds ratios (OR) at a 95% confidence interval (CI), and a p value 0.05 was considered significant for all analyses.