Demographic Information of Participants
The demographic information of the participants is presented in the table below (Table 1).
Table 1
Demographic Information of the Participants
Variable | Groups | Frequency | Percent |
Gender | Female | 48 | 45.3 |
Male | 58 | 54.7 |
Marital Status | Married | 67 | 63.2 |
Single | 39 | 36.8 |
Title | Intern doctor | 51 | 48.1 |
Resident doctor | 1 | 0.9 |
General Practitioner | 16 | 15.1 |
Family Physician | 2 | 1.9 |
Medical Specialist | 17 | 16.0 |
Assistant Professor | 9 | 8.5 |
Associate Professor | 7 | 6.6 |
Professor | 3 | 2.8 |
Specialty field | Intern doctor | 11 | 10.4 |
Internal Medicine | 74 | 69.8 |
Surgical Medicine | 18 | 17.0 |
Basic Medicine | 3 | 2.8 |
Ethics Education Received | Yes | 65 | 61.3 |
No | 41 | 38.7 |
Ethics Education | Undergraduate Education | 50 | 47.2 |
Course, Seminar, Symposium | 6 | 5.7 |
In-service training | 7 | 6.6 |
Doctorate Education | 2 | 1.9 |
No Education | 41 | 38.7 |
Encountering Ethical Issues Status | Rarely | 21 | 19.8 |
Sometimes | 45 | 42.5 |
Very Often | 11 | 10.4 |
Quite Often | 26 | 24.5 |
Constantly | 3 | 2.8 |
Receiving Ethical Consultancy Status | Yes | 9 | 8.5 |
No | 97 | 91.5 |
Frequency of Moral Courage Encounters | Rarely | 20 | 18.9 |
Sometimes | 50 | 47.2 |
Very Often | 10 | 9.4 |
Quite Often | 25 | 23.6 |
Constantly | 1 | 0.9 |
Total | 106 | 100.0 |
Variable | Mean ± SD | Min - Max |
Age | 37.39 ± 11.15 | 20–70 |
Years of experience | 12.39 ± 11.08 | 1–46 |
SD; standard deviation |
Table 1. Demographic Information of Participants
Construct Validity
First, the Kaiser-Meyer-Olkin (KMO) test was conducted to assess the adequacy of the data for Exploratory Factor Analysis (EFA). The KMO value is a measure indicating the suitability of the data for analysis, with a minimum value of 0.60 considered acceptable. Additionally, a high value for Bartlett’s Test of Sphericity supports the appropriateness of the data structure for the model (14). The results of Bartlett’s Test of Sphericity calculated with the KMO test for the Moral Courage Scale are presented in the table below (Table 2).
Table 2
KMO and Bartlett’s test of sphericity
Kaiser‒Meyer‒Olkin Measure of Sampling Adequacy. | 0.900 |
Bartlett's Test of Sphericity | Approx. Chi-Square | 601.126 |
df | 36 |
p | 0.001* |
df; degree of freedom, *p < 0,05; the test is statistically significant. |
Table 2. KMO and Bartlett’s Test of Sphericity Test
The KMO value was calculated as 0.900, and the Bartlett’s Test of Sphericity value was 601.126. A KMO test value of 0.90 indicates that the sample size is highly adequate for the scale. The sample size and structure were found to be suitable for the application of EFA (14).
The factor loadings, Corrected Item-total Correlations, and % Variance Explained obtained from the applied EFA are presented in the table below.
Table 3. Factor Loadings and Item-Total Correlations of the Moral Courage Scale
Table 3
Factor Loadings and Item–Total Correlations of the Moral Courage Scale
Items | Factor Loadings |
Q1 | 0.728 |
Q2 | 0.841 |
Q3 | 0.798 |
Q4 | 0.850 |
Q5 | 0.850 |
Q6 | 0.642 |
Q7 | 0.847 |
Q8 | 0.453 |
Q9 | 0.845 |
% Variance Explained | 73.6 |
Factor loadings for the items in the scale were analyzed, considering a minimum threshold of 0.30. Upon examining the scale model, it was observed that there were no factor loadings below 0.30. The percentage of explained variance for the scale was calculated to be 73.6%, indicating that the explained variance ratio was at the desired level for the scale. The range of factor loadings varied between 0.453 and 0.850 (Table 3).
In the selection of the subdimensions, subdimensional ranges with eigenvalues above 1 and the varimax rotation method were used (18).
In EFA analyses, the number of factors is determined by different methods (19).
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The first and most preferred criterion is the Kaisen criterion, and the roots (λ ≥ 1) greater than one in the covariance and correlation matrix are preferred.
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The points where the slope starts to disappear in the number of factors determined by the Scree Plot Method are taken into consideration
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Joliffe Criterion (taking as many factors as the number of eigenvalues greater than 0.7); as many factors as the number of eigenvalues 0.7 and greater (λ ≥ 7) are determined,
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It is a practical method to determine as many factors as the number of eigenvalues greater than one,
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Comprehensibility; selecting variables that can be explained by the structure of the variables,
The explained variance criterion; the number of factors is selected as the number of eigenvalues so that the cumulative variance explained by the eigenvalues is at least 67% (70%-95%), and it is necessary to determine the number of factors that will explain a very high variance.
There are different views on the explained variance criterion;
M to indicate the number of significant eigenvalues;
\(\:\sum\:_{j=1}^{m}\frac{{\lambda\:}\text{i}}{p}\:\ge\:\) 2/3 or \(\:\sum\:_{j=1}^{m}\frac{{\lambda\:}\text{i}}{p}\:\ge\:\) 0.66
The smallest value of m satisfying the condition gives the number of significant principal components. On the other hand, while a cut-off point of 0.66 is considered appropriate by some authors, the cumulative variance ratio can be taken as 0.95 in science and natural sciences and 0.60 in social sciences where information is less precise (20).
In the selection of the subdimensions, subdimensional ranges with eigenvalues above 1 and the varimax rotation method were used (21, 22).
Following the Exploratory Factor Analysis (EFA), the Confirmatory Factor Analysis (CFA) stage was conducted for the "Moral Courage Scale," which consists of 9 items representing a single underlying dimension.
Confirmatory Factor Analysis
Confirmatory Factor Analysis (CFA) was conducted to test the accuracy of the scale model consisting of a single underlying dimension with 9 items obtained in the first stage of construct validity (21, 22). The initial structure of the scale was prepared and analysed. The goodness of fit indices obtained from the analysis were calculated as follows: χ2 (Chi-Square Goodness of Fit) = 76.730 and χ2/df = 2.842. The RMSEA (Root Mean Square Error of Approximation) value, used for sample adequacy, was found to be 0.132. While the NFI (Normed Fit Index) was 0.877, the CFI (Comparative Fit Index) and GFI (Goodness of Fit Index) were 0.915, and the IFI (Incremental Fit Index) was 0.917. It was observed that the NFI and RMSEA values did not fall within the desired range (23).
Due to the calculated values not meeting the desired level, modifications were required in the model, which may be due to relationships within the model, measurement errors, or existing relationships in the model that could not be analysed (24).
To apply modifications, covariances were added in pairs to the error terms of observable variables (scale items). Relationships between error terms within the same subscale were considered in covariance drawing. The main purpose of covariance drawing is to include abstract concepts explained simultaneously by two error terms without calculating them in the model (25). The effects of external factors were included in the model through covariances, and modifications were made to the scale model. For the "Moral Courage Scale," the highest residual terms, with modification index values, were e5-e7 and e8-e9, and covariances were drawn between these pairs of error terms in the model. The diagram of the final model of the scale is given below (Fig. 1).
Figure 1. Diagram of the "Moral Courage Scale" in IBM SPSS AMOS 23 Program.
Confirmatory factor analysis (CFA) is one of the sub-analyses of structural equation modeling (SEM). In SEM analyses, multiple indices are provided and interpreted for model fit (26, 27). In the modified new model of the "Moral Courage Scale," the χ2 value was found to be 39.904 and the χ2/df value was 1.596. The RMSEA value was calculated as 0.075, indicating that the sample size was sufficient for the scale model. It was also observed that the GFI value increased to 0.919, the CFI and IFI values increased to 0.975, and the NFI value increased to 0.936.
The χ2/df (χ2/sd ≤ 5) value decreased, and the RMSEA (RMSEA ≤ 0.08), GFI, CFI, NFI, and IFI values increased, indicating a good fit of the model. Due to the statistically significant and sufficient relationship established between the constructed SEM and the scales, the multiple group analysis stage was entered (28, 29).
The single subscale 9-item scale model prepared with EFA for the "Moral Courage Scale" was confirmed by modifying the DFA model. Thus, the validity analysis of the "Moral Courage Scale" has been completed.
Reliability
In order to calculate the reliability of the scale, Cronbach's Alpha (α) coefficient of internal consistency and Split-Half method were used. The Cronbach's α coefficient value ranges from 0 to 1, where values below 0.50 indicate that the scale is not reliable. As the coefficient value approaches 1, the reliability value also increases (30). While increasing the number of items in the scale can increase the reliability value (31), in cases where the number of items is low, a Cronbach's α coefficient value of 0.50 is considered acceptable (32). Item-total correlation coefficients are also preferred for reliability. An item-total correlation coefficient value of at least 0.20 for items in a scale is considered sufficient for reliability (33).
Table 4. Moral Courage Scale" Cronbach’s alpha (α) values
Table 4
Moral Courage Scale Cronbach’s alpha (α) values
Items | Corrected Item-Total Correlation |
Q1 | 0.660 |
Q2 | 0.770 |
Q3 | 0.705 |
Q4 | 0.773 |
Q5 | 0.749 |
Q6 | 0.553 |
Q7 | 0.756 |
Q8 | 0.387 |
Q9 | 0.797 |
Cronbach's α | 0.91 |
The Cronbach's α coefficient for the Moral Courage Scale was calculated as 0.91, and the range of total correlation coefficients for the items in the scale was found to be 0.387–0.797 (Table 4).
The second stage of reliability analysis for the scale, which is the test-retest analysis, used a sample of 30 participants(34). The results of the tests are presented in the table below (Table 5).
Table 5
Moral Courage Scale | Grup | Mean ± sd | Cronbach’s α | t | p1 | r | p2 |
Test | 56.81 ± 3.65 | 0.754 | 0.773 | 0.449 | 0.927 | < 0.001* |
Retest | 56.55 ± 2.92 | 0.791 |
sd; standard deviation, t; paired t test, r; Pearson correlation coefficient |
Table 5. Test-Retest Results
When the total score of the Moral Courage Scale was examined, a very high level of statistically significant positive relationship was found between the test and retest groups (p < 0.05).
Scale Score Calculation
In the scale scoring, a 7-point Likert-type scoring was used for the responses. The maximum score that can be obtained from the scale is 63, while the minimum score is 7.
The values for the 106 participants in the study are given in the table below.
Table 6. Descriptive Statistics for Scores Obtained from the Moral Courage Scale
Table 6
Descriptive Statistics for the Moral Courage Scale Scores
Moral Courage Scale | Mean ± sd | Min–Max Scores to Receive From the Scale |
54.43 ± 8.02 | 11–63 |
sd; standard deviation |
Of the 106 participants in the study, the lowest score obtained from the scale total was 11, and the highest score was 63, with a mean score of 54.43 ± 8.02 standard deviation (Table 6).