Table 3

Regression coefficients for gender, sector, years of teaching and mentoring experience predicting MEL-15 scores

PredictorBSEβtp
Constant33.7802.870 -11.760<0.001**
Gender: male0.8801.4600.0310.6100.545
Gender: prefer not to say−8.4007.810−0.054−1.0800.282
Gender non-binary/third gender0.3007.7700.0020.0400.969
Sector: early years−10.2903.470−0.154−2.9700.003*
Sector: primary3.8604.9900.0920.7800.433
Sector: higher education−3.9905.060−0.040−0.7900.431
Sector: other−7.8005.570−0.071−1.4000.163
Service: < 5 years7.2503.4700.1602.0900.037*
Service: 6–10 years3.8702.5000.1451.5500.122
Service: 11–20 years0.7301.9700.0300.3700.710
Experience: 1–5 PSTs−8.6803.780−0.117−2.3000.022*
Experience: 6–10 PSTs2.4901.6900.0891.4700.143
Experience: >10 PSTs11.6701.7600.4616.640<0.001**

Note(s): N = 341. Female, Secondary sector, >20 years teaching and 0 PSTs mentored were used as reference categories. R2 = 0.20, Adj. R2 = 0.17, F(16, 324) = 5.01, p < 0.001. *p < 0.05, **p < 0.001

Source(s): Authors' own work

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