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Sports Medicine Example

Sports Medicine Example. Does Sports Med Fellowship have an impact?. Study Design Compare people with fellowship to those without on ABFM exams Choose target content items as DV, other items as covariate. . Background. A Word of Warning. ANCOVA Assign to treatment Measured category

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Sports Medicine Example

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  1. Sports Medicine Example

  2. Does Sports Med Fellowship have an impact? Study Design Compare people with fellowship to those without on ABFM exams Choose target content items as DV, other items as covariate. Background

  3. A Word of Warning • ANCOVA • Assign to treatment • Measured category • Covariate can either increase power of test for categorical variable or destroy it

  4. Data Collection • Family Med exams • Item types • Judges • Item selection • Item sums • Nmsk • FM • Fellowship

  5. Distribution of Criterion Histogram # Boxplot 13.25+** 65 | . | .**** 156 | . | .********* 400 | . | .******************** 941 | . | .************************************ 1764 +-----+ . | | .************************************************ 2334 *-----* . | + | 7.25+********************************************** 2240 | | . | | .******************************* 1494 +-----+ . | .***************** 786 | . | .******* 319 | . | .** 84 | . | .* 21 | . 1.25+* 2 0 ----+----+----+----+----+----+----+----+----+--- * may represent up to 49 counts M=7.66, SD=1.83

  6. Distribution of Covariate Histogram # Boxplot 227.5+* 2 0 . .* 19 | .**** 139 | .************* 441 | 202.5+************************** 909 | .****************************************** 1461 +-----+ .************************************************ 1669 | | .************************************************ 1649 *--+--* .******************************************* 1494 | | 177.5+********************************* 1140 +-----+ .*********************** 778 | .************* 448 | .******* 220 | .**** 126 | 152.5+** 50 0 .* 28 0 .* 16 0 .* 2 0 .* 4 0 127.5+* 1 * .* 1 * .* 3 * .* 4 * . 102.5+* 2 * ----+----+----+----+----+----+----+----+----+--- * may represent up to 35 counts M=186.63, SD=12.39

  7. Distribution of Categorical Variable The FREQ Procedure Cumulative Cumulative fellow Frequency Percent Frequency Percent ƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒ 0 8896 83.88 8896 83.88 1 1710 16.12 10606 100.00

  8. Correlations Pearson Correlation Coefficients, N = 10606 Prob > |r| under H0: Rho=0 nmsk fellow fm nmsk 1.00000 0.07397 0.30741 <.0001 <.0001 fellow 0.07397 1.00000 0.04147 <.0001 <.0001 fm 0.30741 0.04147 1.00000 <.0001 <.0001

  9. ANCOVA Model 1 Dependent Variable: nmsk Sum of Source DF Squares Mean Square F Value Pr > F Model 3 3479.97692 1159.99231 385.81 <.0001 Error 10602 31876.67525 3.00667 Corrected Total 10605 35356.65218 R-Square Coeff Var Root MSE nmsk Mean 0.098425 22.64258 1.733974 7.658024 Standard Parameter Estimate Error t Value Pr > |t| Intercept -0.923637117 0.27487627 -3.36 0.0008 fellow 1.325887396 0.72536793 1.83 0.0676 fm 0.045720017 0.00147132 31.07 <.0001 fellow*fm -0.005444525 0.00385886 -1.41 0.1583

  10. ANCOVA Model 2 Dependent Variable: nmsk Sum of Source DF Squares Mean Square F Value Pr > F Model 2 3473.99160 1736.99580 577.66 <.0001 Error 10603 31882.66057 3.00695 Corrected Total 10605 35356.65218 R-Square Coeff Var Root MSE nmsk Mean 0.098256 22.64364 1.734055 7.658024 Standard Parameter Estimate Error t Value Pr > |t| Intercept -.7760964638 0.25422026 -3.05 0.0023 fellow 0.3044987045 0.04582654 6.64 <.0001 fm 0.0449285119 0.00136023 33.03 <.0001

  11. Graph of Result

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