Table 2 Estimated coefficients and \(p_{value}\) (in parenthesis) of the binary logistic regression models estimating the scientificity’s perception of the seven professions (\(^{***}\) means that \(p_{value}<\)0.01, \(^{**}\) that \(p_{value}<\)0.05, and \(^{*}\) that \(p_{value}<\)0.1, \(i=1,\dots ,22\), \(j=1,\dots ,7\)).
From: Integrating regression and multiobjective optimization techniques to analyze scientific perception
Variables | Medical doctor | Physicist | Psychologist | Sociologist | Economist | Physiotherapist | Homeopath | |
|---|---|---|---|---|---|---|---|---|
(\(\hat{\beta }_{i1}\)) | (\(\hat{\beta }_{i2}\)) | (\(\hat{\beta }_{i3}\)) | (\(\hat{\beta }_{i4}\)) | (\(\hat{\beta }_{i5}\)) | (\(\hat{\beta }_{i6}\)) | (\(\hat{\beta }_{i7}\)) | ||
Ref.: Internet | ||||||||
Books | \(x_{1}\) | − 0.934 | − 0.452 | − 0.253 | − 0.286 | − 0.744* | − 0.858** | 0.100 |
(0.158) | (0.425) | (0.481) | (0.455) | (0.066) | (0.018) | (0.826) | ||
Radio | \(x_{2}\) | − 0.521 | − 1.062** | − 0.148 | − 0.170 | − 0.031 | − 0.065 | − 0.248 |
(0.346) | (0.012) | (0.651) | (0.619) | (0.929) | (0.842) | (0.592) | ||
Other means | \(x_{3}\) | − 0.097 | − 0.080 | 0.133 | − 0.156 | 0.403** | 0.064 | 0.170 |
(0.761) | (0.763) | (0.397) | (0.339) | (0.014) | (0.683) | (0.408) | ||
Ref.: Benefits of S&T greater than damages | ||||||||
Benefits of S&T equal to damages | \(x_{4}\) | 0.294 | − 0.306 | 0.190 | 0.317* | 0.231 | 0.305* | 0.046 |
(0.398) | (0.251) | (0.276) | (0.079) | (0.201) | (0.082) | (0.831) | ||
Benefits of S&T less than damages | \(x_{5}\) | − 0.386 | − 1.121*** | 0.412 | − 0.013 | − 0.216 | 0.054 | − 0.141 |
(0.442) | (0.005) | (0.212) | (0.969) | (0.520) | (0.867) | (0.748) | ||
Successful statements about S&T | \(x_{6}\) | 0.138 | − 0.044 | − 0.070 | − 0.143** | 0.032 | 0.021 | − 0.013 |
(0.232) | (0.661) | (0.279) | (0.033) | (0.644) | (0.741) | (0.875) | ||
Ref.: Financial support for science | ||||||||
No financial support for science | \(x_{7}\) | − 0.975** | − 0.764** | 0.001 | 0.038 | − 0.359** | − 0.128 | 0.087 |
(0.012) | (0.016) | (0.995) | (0.828) | (0.040) | (0.453) | (0.703) | ||
No possibilities to support science | \(x_{8}\) | 0.167 | − 0.403 | 0.059 | − 0.020 | − 0.555*** | 0.111 | 0.148 |
(0.754) | (0.289) | (0.765) | (0.920) | (0.007) | (0.573) | (0.565) | ||
Scores to scientific techniques | \(x_{9}\) | 1.164*** | 0.846*** | 0.289** | 0.265** | 0.148 | 0.214* | − 0.204 |
(0.000) | (0.000) | (0.013) | (0.033) | (0.231) | (0.065) | (0.177) | ||
Scores to social scientific techniques | \(x_{10}\) | 0.015 | 0.316*** | 0.656*** | 0.834*** | 0.978*** | 0.492*** | − 0.063 |
(0.918) | (0.009) | (0.000) | (0.000) | (0.000) | (0.000) | (0.497) | ||
Scores to pseudoscience | \(x_{11}\) | 0.062 | − 0.046 | 0.357*** | 0.313*** | 0.093 | 0.410*** | 1.518*** |
(0.660) | (0.699) | (0.000) | (0.000) | (0.178) | (0.000) | (0.000) | ||
Political ideology | \(x_{12}\) | − 0.005 | 0.049 | − 0.044 | − 0.065 | − 0.029 | − 0.051 | − 0.007 |
(0.949) | (0.461) | (0.295) | (0.137) | (0.502) | (0.222) | (0.898) | ||
Ref.: Until first level studies | ||||||||
Second level studies | \(x_{13}\) | 0.498 | 0.552 | 0.426 | 0.452 | 0.043 | 0.390 | 0.724* |
(0.266) | (0.137) | (0.149) | (0.150) | (0.889) | (0.184) | (0.060) | ||
University studies | \(x_{14}\) | 1.190** | 0.790* | 0.845** | 0.868** | 0.161 | 0.829** | 0.989** |
(0.042) | (0.089) | (0.011) | (0.013) | (0.642) | (0.013) | (0.023) | ||
Ref.: Very low/low/normal S&T knowledge | ||||||||
High/very high S&T knowledge | \(x_{15}\) | 0.674 | 0.079 | 0.448** | 0.483** | 0.375* | 0.382* | 0.671*** |
(0.158) | (0.825) | (0.029) | (0.019) | (0.075) | (0.065) | (0.008) | ||
Ref.: catholic | ||||||||
Non-catholic religion | \(x_{16}\) | 1.935* | − 0.951* | 0.415 | 0.914* | 0.749 | 0.420 | − 0.113 |
(0.087) | (0.088) | (0.436) | (0.084) | (0.161) | (0.429) | (0.841) | ||
Atheist, agnostic or indifferent | \(x_{17}\) | 0.682** | 0.419 | 0.247 | 0.362** | 0.492*** | 0.611*** | − 0.212 |
(0.047) | (0.123) | (0.113) | (0.025) | (0.002) | (0.000) | (0.306) | ||
Ref.: Inactive, students and unemployed | ||||||||
Labourers | \(x_{18}\) | 0.178 | 0.162 | − 0.241 | 0.004 | − 0.419** | − 0.372** | − 0.301 |
(0.594) | (0.536) | (0.140) | (0.980) | (0.014) | (0.023) | (0.159) | ||
Small entrepreneurs, technicians, middle managers | \(x_{19}\) | − 0.532 | 0.621 | − 0.342 | − 0.378 | 0.112 | − 0.401 | − 0.269 |
(0.259) | (0.188) | (0.174) | (0.152) | (0.668) | (0.115) | (0.404) | ||
Directors and professionals | \(x_{20}\) | − 0.158 | − 0.445 | 0.245 | − 0.391 | − 0.687** | 0.084 | − 0.309 |
(0.794) | (0.455) | (0.429) | (0.226) | (0.034) | (0.789) | (0.448) | ||
Ref.: Man | ||||||||
Woman | \(x_{21}\) | − 0.112 | − 0.201 | − 0.090 | 0.130 | − 0.269* | 0.056 | 0.327* |
(0.696) | (0.397) | (0.530) | (0.379) | (0.070) | (0.698) | (0.082) | ||
Income (st) | \(x_{22}\) | − 0.063 | − 0.110 | − 0.009 | − 0.033 | − 0.195*** | 0.184*** | 0.170* |
(0.664) | (0.355) | (0.893) | (0.639) | (0.007) | (0.009) | (0.070) | ||
Constant | \(\hat{\alpha }_j\) | − 3.401*** | − 2.148** | − 3.980*** | − 4.514*** | − 3.914*** | − 3.605*** | − 5.382*** |
(0.004) | (0.034) | (0.000) | (0.000) | (0.000) | (0.000) | (0.000) | ||
Observations | 1039 | 1039 | 1039 | 1039 | 1039 | 1039 | 1039 | |
