Construct-level predictive validity of educational attainment and intellectual aptitude tests in medical student selection: meta-regression of six UK longitudinal studies.

A categorical effects model with all of the Predictors, Outcomes and Cohorts which has 8 + 6 + 5 = 19 parameters (which is large compared to the 57 data points), found highly significant differences between Predictors (chi-square = 114.4, 8 df, P < .001), but not between Outcomes (chi-square = 4.66, 6df, P = .588) or Cohorts (chi-square = 5.30, 5 df, P = .380).

also in 132,142 other papers

A model with Year of Entry and Year of Training as covariates, and Predictor as a categorical measure found significant effects for Predictor (chi-square = 126.0, 8 df, P < .001), the effect of YearOfTraining was almost significant (b = −.016, t = −1.91, 45 df, P = .063), and would have been significant with a one-tailed test, the effect being in the obvious direction ( P = .032).

also in 1,858 other papers

After including A-levels, no other variable when added in on its own was significant, although GCSEs/O-levels approached significance ( P = .098), as did a dummy variable for postgraduate exams ( P = .116).

also in 8,237 other papers

Although overall the validities were slightly higher in undergraduate assessments (mean = .485; CI: .406 to .557) than in postgraduate assessments (mean = .386; CI: .282 to .481), that effect did not quite reach significance either on its own ( P = .104) or after taking A-levels into account ( P = .116).

also in 350 other papers