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Table 3 Comparison of the posttest modified technology acceptance model 3 questionnaire scores across the 3 groups

From: Comparison of nursing diagnostic accuracy when aided by Knowledge-Based Clinical Decision Support Systems with Clinical Diagnostic Validity and Bayesian Decision Models for psychiatric care plan formulation among nursing students: a quasi-experimental study

Acceptance scale

Controla

Mean (SD)

CDVb

Mean (SD)

BADEc

Mean (SD)

F value

P value

Scheffe’s test

Determinants of perceived usefulness

 Subjective norms

4.68 (0.86)

5.11 (0.83)

4.88 (0.82)

13.74

 < .001

a < c < b

 Image

4.26 (1.02)

4.68 (0.92)

4.57 (0.98)

10.25

 < .001

a < b; a < c

 Job relevance

4.89 (0.86)

5.34 (0.78)

5.17 (0.79)

15.70

 < .001

a < b; a < c

 Output quality

4.70 (1.00)

5.22 (0.83)

5.06 (0.85)

18.04

 < .001

a < b; a < c

 Result demonstrability

4.61 (0.73)

5.07 (0.82)

4.88 (0.82)

17.04

 < .001

a < b; a < c

Determinants of perceived ease of use

 Perception of external control

4.79 (0.72)

5.11 (0.69)

4.97 (0.69)

10.49

 < .001

a < b; a < c

 Computer self-efficacy

6.00 (0.68)

6.35 (0.68)

6.18 (0.68)

13.71

 < .001

a < c < b

 Computer anxiety

3.05 (0.49)

2.37 (0.57)

2.59 (0.56)

83.77

 < .001

b < c < a

 Computer playfulness

4.52 (0.67)

4.88 (0.68)

4.69 (0.70)

14.04

 < .001

a < c < b

 Perceived enjoyment

4.42 (0.81)

4.94 (0.85)

4.72 (0.90)

19.23

 < .001

a < c < b

Voluntariness

4.48 (0.87)

4.94 (0.80)

4.76 (0.82)

16.44

 < .001

a < b; a < c

Perceived ease of use

4.81 (0.89)

5.25 (0.81)

5.03 (0.90)

13.50

 < .001

a < c < b

Perceived usefulness

5.00 (0.86)

5.64 (0.68)

5.31 (0.77)

34.68

 < .001

a < c < b

Behavioral intention

4.97 (0.84)

5.46 (0.85)

5.18 (0.80)

18.11

 < .001

a < c < b

  1. aControl, control group using the psychiatric care planning system
  2. bCDV, group using the knowledge-based clinical decision support system (KBCDSS) with the clinical diagnostic validity inference engine
  3. cBADE, group using the KBCDSS with the Bayesian decision model inference engine