Area1 Scaled Score (NAPLEX) .535 ** **.000 N. Sig. (2-tailed)

Transcription

1 Institutional Assessment Report Texas Southern University College of Pharmacy and Health Sciences "An Analysis of 2013 NAPLEX, P4-Comp. Exams and P3 courses The following analysis illustrates relationships between 2013 NAPLEX scores, 2013 P4-comp. exam scores, spr.12-phar642 and spr.12-phar 644. The data represents a single student group. The data is a breakdown of total and scaled scores of pharmacy candidates for both examinations. As reflected, of 74 students took both examinations and 69 of the 74 students received final grades for the two courses. Hypothesis (H o ): There are no supported relationships between NAPLEX, P4-Comp. Exam, PHAR642 and PHAR644.* Correlation Matrix Total Scaled P-4 Comp. Exam (Total ) Area1 Scaled Area2 Scaled Area3 Scaled PHAR642 PHAR644 P4 Comp. Exam Total Pearson Correlation Sig. (2-tailed).520 ** **.427 **.317 ** **.448 ** N NAPLEX Total Scaled Pearson Correlation **.893 **.804 **.607 **.525 **.504 ** Sig. (2-tailed) N ** Correlation is significant at the 0.01 level (2-tailed). P4 Comp. Exam s is significant at the alpha.05 level [,.007 respectively] to all NAPLEX total scaled scores [areas 1, 2 &3]. The coefficients (31-53%) are moderately correlated with the NAPLEX scores. The coefficients are positive, signifying parallel increases among variables. Thus, the null hypothesis is rejected; There are statistically significant relationships between students performance on NAPLEX exam, P4-comp. exam, PHAR642 and PHAR644 (spr.12 final grades). Students performance: The students NAPLEX (Area 1) and P4-comp. exams total scores have the strongest relationship; NAPLEX (Area 3) and P4-comp. exams have a [positive] moderate relationships; PHAR642 and Total Scaled has a moderate to high correlation.

2 Model R R Square Adjusted R Square Std. Error of the Estimate a a. Predictors: (Constant), P4 Comp. Exam Total R =.520 indicating a moderate to strong relationship (> 0.3) between 2013 P4 comp. exam total scores and NAPLEX total scaled score. R Square at 27% is moderate and measures the amount of variability in the response. The P4 comp. total score accounts for 27% of the variation in NAPLEX total scaled score. Thus, 73% of variation of the NAPLEX total scaled score is explained by other factors. ANOVA b Model Sum of Squares df Mean Square F Sig. 1 Regression a Residual Total a. Predictors: (Constant), P4 Comp. Exam Total b. Dependent Variable: NAPLEX Total Scaled Sig. level () indicates that P4 comp. total scores are statistically significant predictors of the NAPLEX total scaled score. Coefficients a Model Standardized Unstandardized Coefficients Coefficients B Std. Error Beta t Sig. 1 (Constant) P4 Comp. Exam Total a. Dependent Variable: NAPLEX Total Scaled When the P4 comp. total score is 0, the NAPLEX total scaled score is roughly 8. Also, for each (1) unit increase in P4 comp. total score we can predict a 0.74 unit increase in NAPLEX total scaled score.

3 Regression Equation regarding the null hypothesis: H o There is no supported relationship between NAPLEX total scaled scores and the P4 comp. exam total score (b=0). What s the NAPLEX total score for a student whose P4 comp. total score is 121. Y = * 121 = = The NAPLEX total scaled score for a student whose P4 comp. total score is 121 on the is predicted to be about The random scatter around the linear line represents the distance of each point from the predicted line (slope). Scattered plots signify that the relationship is not very strong; however, because the following plots appear relatively close, it suggests significant strength among the two variables. Also, the lower left to upper right pattern denotes a positive relationship.

4 Model R R Square Adjusted R Square Std. Error of the Estimate a a. Predictors: (Constant), PHAR642 Final Grades (spr. 2012) R =.525 indicating a moderate to strong relationship (> 0.3) between sp12-phar642 final grades (as P3 students) and their 2013 NAPLEX total scaled score. R Square at 28% is moderate and measures the amount of variability in the response. The prediction improves by this amount by adding this predictor. Coefficients a Model Unstandardized Coefficients Standardized Coefficients B Std. Error Beta t Sig. 1(Constant) PHAR a. Dependent Variable: NAPLEX Total Scaled For each (1) unit increase in PHAR642 final grade we can predict a unit increase in NAPLEX total scaled score. NAPLEX Total Scaled ANOVA Sum of Squares df Mean Square F Sig. Between Groups Within Groups Total Measuring the variability amongst the means, the F Value (7.32) is statistically significant (P <.001).

5 Means Plots 5.00 = A 4.50 = A = B = B 3.00 = B = C = C Hypothesis (H o ): There are no supported relationships between NAPLEX exam and PHAR642.* With the exception of students who earned a B (N=22), the plot chart shows the means going in an expected direction. Thus, indicating that as the PHAR642 final grade increases so does [means] the NAPLEX total scaled score. The one-way ANOVA plot doesn t indicate statically how significant are the differences between plots, but it does confirm that there s at least one mean comparison between the scores that is statistically significant.