MDHES

AcronymDefinition
MDHESMontana Department of Health and Environmental Services (became Montana Montana Department of Environmental Quality)
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Statistic Variable N = 130 ECA MDHE ICA NBDHE Mean 84.38 83.29 83.32 79.81 Std Dev 4.82 12.63 5.61 8.18 Anderson-Darling A[2] 0.66 4.22 0.50 2.73 Normaility p(*) 0.08 >0.00 0.21 >0.00 Upper Quartile 88.00 96.00 87.25 84.25 Median 84.00 85.00 83.00 81.00 Lower Quartile 81.75 72.00 79.00 76.00 Range 22.00 44.00 28.00 49.00 Note: Normality was tested with the Anderson-Darling statistic.
Statistics ECA MDHE ICA NBDHE ECA 1.00 0.47 0.77 0.69 (0.00) (>0.01) (>0.01) (>0.01) MDHE 0.47 1.00 0.35 0.48 (>0.01) (>0.00) (>0.01) (>0.01) ICA 0.77 0.35 1.00 0.63 (>0.01) (>0.01) (0.00) (>0.01) NBDHE 0.69 0.48 0.63 1.00 (>0.01) (>0.01) (>0.01) (0.00) Note: Numbers not in parentheses are Pearson correlations; numbers in parentheses are p-values giving probabilties that such sample correlations may arise from a population in which the correlation is zero.
Determination of an equation for predicting NBDHE score on the basis of ECA, ICA, and/or MDHE by means of multiple regression was attempted unsuccessfully.
The parameter estimates indicate the prediction equation is NBDHE = 0.67(ECA) + 0.13 (MDHE) + 0.37 (ICA) - 18.66.
Analysis of Variance Source df SS MS F P Model 3 4566.25 1522.08 47.21 0.0001 Error 126 4061.94 32.24 Total 129 8628.19 Parameter Estimates Variable Parameter Estimate P Intercept -18.66 0.0374 ECA 0.67 0.0002 MDHE 0.13 0.0039 ICA 0.37 0.0096 [R.sup.2] = 0.53 Variance Inflation Variable Variance Inflation Factor Intercept 0.00 ECA 2.79 MDHE 1.28 ICA 2.49 Note:
Using MINITAB software, binary logistic regression indicates that the odds of passing the NBDHE equal the result of applying exponent [-29.60 + 0.23 (ECA) + 0.05 (MDHE) + 0.11 (ICA)] to the base e (approximately 2.72).
Thus, each of the following statements may be made with 95% confidence: (a) the probability of passing the NBDHE becomes from 1.03 to 1.54 times greater with each increase of one in ECA when MDHE and ICA remain constant; (b) the probability of passing the NBDHE becomes from 0.99 times less to 1.11 times more with each increase of one in MDHE when ECA and ICA remain constant; (c) the probability of passing the NBDHE becomes from 0.95 times less to 1.32 times more with each increase of one in ICA when ECA and MDHE remain constant.
For these 42 students, the MDHE proved to be a useful screening device: only four of the 18 students in the top three quarters for MDHE failed to pass the NBDHE, while 11 of the 24 students in the bottom quarter failed to pass.
This study indicates that the independent variables of ECA, MDHE score, and ICA cannot predict the actual NBDHE score.
Four limitations affected this correlational study: (a) scores from only 11 of the 18 dental hygiene courses were obtained, (b) only Armstrong Atlantic State University dental hygiene graduates were considered, so study results may not be generalized to other populations, (c) the MDHE may have been available to some students prior to its administration, and (d) since this was a quantitative and ex-post facto study, it was difficult to control or account for extraneous variables which may have affected students' course work scores, MDHE scores, and ultimately, NBDHE scores.