1. TEAS prep course trends YOUR FUTURE BEGINS TODAY Joel Collazo, MD Maria E Guzman, MPM

2. PROGRESS PER CAMPUS AND ALL DMC ANALYSIS OF RESULTS OF STUDENTS THAT TOOK THE REVIEW

3. DMC all campuses

5. Hialeah-Miami Lakes Campus

7. Homestead Campus

9. Miami Campus

11. Hollywood campus

13. COMPARISON BETWEEN REVIEW AND NO REVIEW STUDENTS

14. DMC: TOTAL OF STUDENTS THAT TOOK THE TEAS TEST ( JAN-MAY 2012) NO REVIEWREVIEWTOTAL 32767394

17. HOMESTEAD:TOTAL OF STUDENTS THAT TOOK THE TEAS TEST ( JAN-MAY 2012) NO REVIEWREVIEWTOTAL 71879

20. MIAMI:TOTAL OF STUDENTS THAT TOOK THE TEAS TEST ( JAN-MAY 2012) NO REVIEWREVIEWTOTAL 11617133

23. HOLLYWOOD: TOTAL OF STUDENTS THAT TOOK THE TEAS TEST ( JAN-MAY 2012) NO REVIEWREVIEWTOTAL 791594

26. MIAMI LAKES:TOTAL OF STUDENTS THAT TOOK THE TEAS TEST ( JAN-MAY 2012) NO REVIEWREVIEWTOTAL 612788

29. DATA COLLECTION THE STATISTICAL ANALYSIS WAS DONE WITH DATA OBTAINED FROM ALL FOUR CAMPUSES WHERE THE TEAS PREPARATION COURSE IS CURRENTLY AVAILABLE. BETWEEN JANUARY AND MAY 2012. INCLUDE A TOTAL POPULATION OF 394 STUDENTS.

30. DATA X0X1X2X3X4X5X6X7NRRMMLHOMHOLL 234511171906100100 0020281410270100 11017111916507900001 000355200150001 15617194622011601000 022553200171000 2541319151307100010 00011150080010 Legend X0 Less than 30X5 (70-79%)M Miami Campus X1 (30-39%)X6 (80-89%)ML Miami Lakes Campus X2 (40-49%)X7 (90-100%)HOM Homestead Campus X3 (50-59%)NR No reviewHOLL Hollywood Campus X4 (60-69%)R review

31. General Regression Analysis: X3 versus R, NR Regression Equation X3 = 1.13229 + 0.0215274 R + 0.129967 NR Coefficients Term Coef SE Coef T P 95% CI Constant 1.13229 2.81034 0.40290 0.704 (-6.09191, 8.35650) R 0.02153 0.16012 0.13445 0.898 (-0.39007, 0.43313) NR 0.12997 0.03560 3.65128 0.015 ( 0.03847, 0.22147) Summary of Model S = 2.52636 R-Sq = 88.26% R-Sq(adj) = 83.57% PRESS = 96.3839 R-Sq(pred) = 64.55% Analysis of Variance Source DF Seq SS Adj SS Adj MS F P Regression 2 239.962 239.962 119.981 18.7984 0.004720 R 1 154.872 0.115 0.115 0.0181 0.898294 NR 1 85.091 85.091 85.091 13.3318 0.014729 Error 5 31.913 31.913 6.383 Total 7 271.875

32. General Regression Analysis: X4 versus R, NR Regression Equation X4 = 4.74964 - 0.0736235 R + 0.146592 NR Coefficients Term Coef SE Coef T P 95% CI Constant 4.74964 3.56606 1.33190 0.240 (-4.41720, 13.9165) R -0.07362 0.20318 -0.36236 0.732 (-0.59590, 0.4487) NR 0.14659 0.04517 3.24558 0.023 ( 0.03049, 0.2627) Summary of Model S = 3.20572 R-Sq = 88.29% R-Sq(adj) = 83.61% PRESS = 151.251 R-Sq(pred) = 65.54% Analysis of Variance Source DF Seq SS Adj SS Adj MS F P Regression 2 387.492 387.492 193.746 18.8531 0.004690 R 1 279.240 1.349 1.349 0.1313 0.731893 NR 1 108.252 108.252 108.252 10.5338 0.022808 Error 5 51.383 51.383 10.277 Total 7 438.875

33. General Regression Analysis: X5 versus R, NR Regression Equation X5 = -8.57511 + 0.70737 R + 0.404303 NR Coefficients Term Coef SE Coef T P 95% CI Constant -8.57511 6.50567 -1.31810 0.245 (-25.2985, 8.14824) R 0.70737 0.37066 1.90841 0.115 ( -0.2454, 1.66018) NR 0.40430 0.08240 4.90665 0.004 ( 0.1925, 0.61612) Summary of Model S = 5.84829 R-Sq = 88.16% R-Sq(adj) = 83.43% PRESS = 689.874 R-Sq(pred) = 52.25% Analysis of Variance Source DF Seq SS Adj SS Adj MS F P Regression 2 1273.86 1273.86 636.931 18.6224 0.004819 R 1 450.43 124.57 124.566 3.6420 0.114620 NR 1 823.43 823.43 823.432 24.0752 0.004449 Error 5 171.01 171.01 34.202 Total 7 1444.88

34. General Regression Analysis: X6 versus R, NR Regression Equation X6 = -0.609787 + 0.400043 R + 0.183717 NR Coefficients Term Coef SE Coef T P 95% CI Constant -0.609787 7.05776 -0.08640 0.935 (-18.7523, 17.5328) R 0.400043 0.40211 0.99485 0.365 ( -0.6336, 1.4337) NR 0.183717 0.08939 2.05519 0.095 ( -0.0461, 0.4135) Summary of Model S = 6.34460 R-Sq = 52.92% R-Sq(adj) = 34.09% PRESS = 554.867 R-Sq(pred) = -29.79% Analysis of Variance Source DF Seq SS Adj SS Adj MS F P Regression 2 226.231 226.231 113.115 2.81004 0.152091 R 1 56.206 39.840 39.840 0.98972 0.365488 NR 1 170.025 170.025 170.025 4.22380 0.095013 Error 5 201.269 201.269 40.254 Total 7 427.500

35. General Regression Analysis: X7 versus R, NR Regression Equation X7 = -0.475285 + 0.0450222 R + 0.00546112 NR Coefficients Term Coef SE Coef T P 95% CI Constant -0.475285 0.253513 -1.87479 0.120 (-1.12696, 0.176392) R 0.045022 0.014444 3.11705 0.026 ( 0.00789, 0.082151) NR 0.005461 0.003211 1.70079 0.150 (-0.00279, 0.013715) Summary of Model S = 0.227896 R-Sq = 70.32% R-Sq(adj) = 58.45% PRESS = 1.47961 R-Sq(pred) = -69.10% Analysis of Variance Source DF Seq SS Adj SS Adj MS F P Regression 2 0.615316 0.615316 0.307658 5.92370 0.047984 R 1 0.465079 0.504617 0.504617 9.71598 0.026340 NR 1 0.150237 0.150237 0.150237 2.89269 0.149724 Error 5 0.259684 0.259684 0.051937 Total 7 0.875000

36. INTERPRETATION OF Y-INTERCEP AND SLOPE COEFFICIENTS X3 (50-59%) B1 = 0.0215 For every one unit increase in the review takers, the interval goes up by 2.15% B2 = 0.1299 For every one unit increase in the no review takers, the interval goes up by 12.99% X4 (60-69%) B1 = -0.0736 For every one unit increase in the review takers, the interval goes down by 7.36% B2 = 0.1472 For every one unit increase in the no review takers, the interval goes up by 14.72%

37. X5 (70-79%) B1 = 0.7073 For every one unit increase in the review takers, the interval goes up by 70.7% B2= 0.4043 For every one unit increase in the no review takers, the interval goes up by 40.43% X6 (80-89%) B1 = 0.4000 For every one unit increase in the review takers, the interval goes up by 40% B2 = 0.1837 For every one unit increase in the no review takers, the interval goes up by 18.37% X7 (90-100%) B1= 0.0450 For every one unit increase in the review takers, the interval goes up by 4.5% B2= 0.0054 For every one unit increase in the no review takers, the interval goes up by 0.54%

38. INTERPRETATION OF THE COEFFCIENT OF MULTIPLE DETERMINATION R 2 = proportion of variation in the dependent variable ŷ that is explained by variation in the independent variables Xί. When R 2 is close to 1, it is an indication that the model is a good fit to the data. X3R 2 = 0.8826 X4R 2 = 0.8829 X5R 2 = 0.8160 X6R 2 = 0.5292 X7R 2 = 0.7032

39. INTERPRETATION OF THE COEFFICIENT OF CORRELATION The correlation coefficient is a number that range from -1 to +1. Positive values indicate a relationship between X and Y variables such that a values X increases, values for Y also increase X3R = 0.9395 X4R = 0.9396 X5R = 0.9033 X6R = 0.7275 X7R = 0.8386

40. F-TEST HYPOTHESIS Ho : β 1 …..β 10 = 0 No linear relationship between the dependent variable and the independent variables. Ha : β 1 ≠ 0 Linear relationship between the dependent variable and the independent variables.

41. Reject Ho at level of significance if F (model) > Fα, otherwise do not reject Ho. Using α= 0.05 level of significance to find the critical value of the F distribution with ( 2/5) F (model)FαFα X318.79845.79 X418.85315.79 X518.62245.79 X62.810045.79 X75.92375.79

42. t-TEST Ho : β 1 = 0 versus Ha : β 1 ≠ 0 If we reject Ho at the 0.05 level, we can conclude that X 1 is significantly related to the dependent variable ŷ.

43. X3(R) P= 0.004720 (NR) P= 0.014729 X4(R) P= 0.731895 (NR) P = 0.022808 X5(R) P= 0.114620 (NR) P = 0.004449 X6(R) P = 0.365488 (NR) P = 0.095013 X7(R) P = 0.026340 (NR) P = 0.149724

44. CONCLUSIONS 1. The TEAS preparation course is significantly effective. 2. For the dependent variable: X3 (50-59%): Higher incidence of No Review (12.99%) X4 (60-69%): Higher incidence of No Review (14.72%) X5 (70-79%): Higher incidence of Review (70.73%) X6 (80-89%): Higher incidence of Review (40.00%) X7 (90-100%): Higher incidence of Review (4.50 %) We can conclude that those students that take the students that take the TEAS preparation course at DMC achieve the best scores in the TEAS test. 2. All Models (Regression) explain above 70% of the total of the variation in predicting the scores of the TEAS test takers.

45. 3. The Correlation Coefficient indicates a strong positive correlation, meaning that any increase in each interval depends on the increase of Review and No Review students that take the TEAS test. 4.F-test: we reject Ho, concluding that at least ONE on the independent variable is significant. 5.The t-test shows: That there is a strong evidence that Review and No Review are significantly related with X3; X5; X6 and X7. There is a strong evidence that No Review is significantly related with X4. There is no evidence that Review be significantly related with X4.

46. RECOMMENDATIONS Continue offering the program to prospective students. Offer the program to students that did not pass the TEAS and did not took the preparation course offered at DMC. Implement a system that allows the flow of information between admissions departments and the coordination of the program (enrollment lists, attendance, etc.) Regulate the enrollment of students to fixed start terms to be able to control as much as possible the appointments for the TEAS test. We suggest that the students have a priority date to take the TEAS after finishing their preparation. To perform a prospective study to analyze the relationship between Review and No Review students, their academic trajectory and the results at NCLEX.