Psychometric Properties of the Moral Injury Symptom Scale Among Indian Healthcare Professionals

Figures & data

Table 1 Demographic Characteristics of the Participants

Variables	Categories	Frequency	Percentage (%)^a
Gender	Male	106	35.2
	Female	193	64.5
	Others	1	0.3
Age	20–30	89	29.7
	30–40	172	57.4
	40–50	36	11.9
	50–60	3	1
Profession	Doctor	150	50
	Nurse	150	50
Witnessed a COVID-related death in the workplace	Yes	202	67.3
	No	98	32.7
Infected by COVID-19	Yes	128	42.6
	No	172	57.4

Notes: The demographic characteristics presented in the table are in numbers and percentages for a total of 300 respondents. ^aPercentage of participants in different demographic categories.

Table 2 Fit Indices Resulting from Confirmatory Analysis of the Default Model

Model	RMSEA	CFI	NFI	IFI
3-factor	0.073	0.98	0.96	0.98

Note: The 3 factors of the MISS-HP scale were guilt/shame, mistrust, and forgiveness.

Table 3 Point Biserial Correlation Coefficient (PBCC) Matrix

Items	PBCC**^a
Item 1	0.879
Item 2	0.899
Item 3	0.898
Item 4	0.862
Item 5	0.429
Item 6	0.366
Item 7	0.761
Item 8	0.830
Item 9	0.849
Item 10	0.334

Notes: The Point Biserial Correlation Coefficient (PBCC) indicates the correlation between the score on each item with the total score on the MISS-HP scale. **The PBCC values of all the items are significant at 0.01 level. ^aAll PBCC values are significant at 0.01 level.

Abbreviations: MISS-HP, moral injury symptom scale- healthcare professional; CFA, confirmatory factor analysis; RMSEA, root mean square error of approximation; CFI, comparative fit index; NFI, normed fit index; IFI, incremental fit index; PBCC, Point Biserial Correlation Coefficient.

Figure 1 The confirmatory factor analysis model.