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Validity evidence for programmatic assessment in competency-based education Cover

Validity evidence for programmatic assessment in competency-based education

Open Access
|Nov 2018

Figures & Tables

Fig. 1

Schematic overview of competency-based assessment program at the Faculty of Veterinary Medicine, Utrecht University. Mini-CEX mini clinical evaluation exercise, MSF multisource feedback, SA self-assessment, EBCR evidence-based case report, PDP personal development plan

40037_2018_481_Fig1_HTML.png

Table 1

Assessment methods, domain and item scores included from 1 January 2012 until 6 July 2016

Total

Included (≤T124)

Assessment methods

Total

 17,991

 16,575

Mini-CEX

  8,013

  7,899

MSF

  8,787

  7,514

SA

  1,191

  1,162

Domain scores

Total

134,938

124,649

Mini-CEX

 59,362

 58,595

MSF

 67,160

 57,838

SA

  8,416

  8,216

Item scores

Total

363,526

327,974

Mini-CEX

 89,416

 88,267

MSF

241,604

207,952

SA

 32,506

 31,755

The total number of assessment data points collected in the program of assessment compared with those analyzed in the study. Difference are due to some students exceeding the maximum length of program (e. g., due to remediation, sickness)

Mini-CEX mini clinical evaluation exercise, MSF multisource feedback, SA self-assessment

Table 2

Generalizability analysis by method

Source

MSF

Mini-CEX

SA

σ2

%

σ2

%

σ2

%

Week (w)

0.02

 3.95

0.06

11.49

0.03

10.85

Student(s)|week

0.16

43.16

0.21

41.98

0.12

45.35

Competency (c)|week

0.01

 2.89

0.03

 5.35

0.02

 6.98

s|w*c|w, error

0.19

50.00

0.21

41.19

0.10

36.82

Total

0.38

0.51

0.26

G-coefficient (Ep2)

0.86

0.88

0.90

σ2- variance component, % percent, G‑coefficient = σsw2/(σsw2+(σsw*cw,e2nc

Multisource feedback (MSF), mini clinical evaluation exercise (Mini-CEX), self-assessment (SA) for week (n = 124), student nested within week (n = 962 students), and competency nested within week (n = 7 competency domains).

Fig. 2

Development of performance (score) dependent of student. The Y‑axis represents the average score of students’ performance per week on a 5-point Likert-scale. The average score per week is collapsed per competency domain, per method and per student. The X‑axis represents 124 weeks of clinical training. The error bars represent the standard error (SE)

40037_2018_481_Fig2_HTML.png

Fig. 3

Average competency domain score (µ, se) within student across competency domain discretized by four weeks. Y‑axis represents the average score of students’ performance per competency domain on a 5-point Likert-scale. The average score is collapsed per method and per student. The error bars represent the standard error (SE)

40037_2018_481_Fig3_HTML.png

Table 3

Multilevel random coefficient models, where repeated measures (residual, Level 1) are nested within Competency Domain (Level 2), Assessment Methods (Level 3) and Students (Level 4). Model 2–4 assess the effect of linear and non-linear time (inflection points, cubic and quadratic) on repeated measures

Parameter Effects

Model 1 (SE)

% of variance

Model 2 (SE)

% of variance

Model 3 (SE)

% of variance

Model 4 (SE)

% of variance

Fixed effects

Intercept

 3.876 (0.009)*

 3.487 (0.014)*

 3.405 (0.015)*

 3.487 (0.015)*

Week

 0.008 (0.0002)*

 0.0122 (0.003)*

 0.002 (0.001)*

Week * Week

−3.88 × 10−5 (1.9 × 10−6)*

 0.0002 (1.9 × 10−5)*

Week * Week * Week

−1.17 × 10−6 (5.4 × 10−8)*

Random effects

Level 1: Repeated Measures (Residual)

 0.308 (0.001)*

46.53

 0.308 (0.001)*

61.11

 0.307 (0.001)*

59.73

 0.306 (0.001)*

60.41

Level 2: Competency Domain (Intercept)

 0.014 (0.001)*

 2.11

 0.014 (0.001)*

 2.78

 0.014 (0.001)*

2.72

 0.014 (0.001)*

2.72

Level 3: Assessment Method (Intercept)

 0.073 (0.003)*

11.03

 0.068 (0.003)*

13.49

 0.069 (0.003)*

13.42

 0.065 (0.003)*

12.90

Level 4: Student (Intercept)

 0.267 (0.020)*

40.33

 0.114 (0.008)*

22.62

 0.124 (0.009)*

24.12

 0.122 (0.008)*

23.98

Level 4: Student (Covariance)

−0.005 (0.0003)*

−0.002 (0.0001)*

−0.002 (0.0001)*

−0.002 (0.001)*

Level 4: Student (Slope)

 9.53 × 10−5 (5.0 × 10−6)*

 0

 2.61 × 10−5 (1.7 × 10−6)*

 0

 2.76 × 10−5 (1.8 × 10−6)*

0

 2.57 × 10−5 (1.7 × 10−6)*

0

−2 Loglikelihood

219,200.57

218,308.86

217,907.54

217,488.23

Degrees of Freedom (DF)

 7

 8

 9

10

SE standard error, % percent

*P<0.001

Language: English
Published on: Nov 14, 2018
Published by: Bohn Stafleu van Loghum
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2018 Harold G. J. Bok, Lubberta H. de Jong, Thomas O’Neill, Connor Maxey, Kent G. Hecker, published by Bohn Stafleu van Loghum
This work is licensed under the Creative Commons Attribution 4.0 License.