4.1 Design
The questionnaire was prepared using the statements and references form the Ayurveda classics and other relevant sources. Currently the questionnaire is for interview purpose hence available in English language only.
4.2 Content validity
The format for the content validation was sent to sent to 10 experts of Ayurveda , response rate was 60%. ACP (Average congruency percentage) was found to be 91.5% , which is valid and appropriate.
For calculation of Content validity Index (CVI ) scores , SPSS was used . I-CVI was calculated and items below 0.5 were to be removed , it was found to be >0.7 for all the items. Scale Content validity (S-CVI) - S-CVI/Uni 90% of the items achieved relevance rating by all the experts . S-CVI/Avg was calculated to be 0.82
4.3 Reliability
In the current study for reliability the internal consistency was tested and the homogeneity was tested using split half method. For internal consistency cronbach’s coefficient alpha was calculated which was found to be .883 and cronbach’s alpha based on the standardised items was 0.894. Scale is considered reliable if the value of alpha is above 0.716. Table 2 shows the result from spss , for internal consistency
Table 2 - Showing results for internal consistency
Reliability Statistics
|
Cronbach's Alpha
|
Cronbach's Alpha Based on Standardized Items
|
N of Items
|
.883
|
.894
|
46
|
Cronbach's Alpha
|
Part 1
|
Value
|
.803
|
|
N of Items
|
23a
|
|
Part 2
|
Value
|
.837
|
|
|
N of Items
|
23b
|
|
Total N of Items
|
46
|
Correlation Between Forms
|
.602
|
Spearman-Brown Coefficient
|
Equal Length
|
.751
|
Unequal Length
|
.751
|
Guttman Split-Half Coefficient
|
.748
|
a. The items are: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23.
b. The items are: 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46.
4.4 Construct validity
4.4.1 Exploratory factor analysis
Principal component analysis (PCA) was done in the Spss. After running the PCA , all the items showed commonalities above 0.3 and the total variance of 74.6% (above 60-70% is acceptable).
Further the values of component matrix were segregated. Components having correlation value above 0.3 17were retained and others were removed. 18 items were found to have value lower than 0.3
Sample Size
The sample size was calculated using the minimum sample size rule 18. The most commonly used method for sample size is the rule of minimum according to which the minimum sample size should be 100 (Gorsuch, 1983 and Kline, 1979) and the ratio of variable to sample should be 5:1(Bryant and Yarnold, 1995, David Garson, 2008) . The sample size for EFA was 250 (table 3) . Before running the PCA , Sample adequacy was tested by KMO and Bartlett’s test (Table 4) . Value between 0.8-0.5 is acceptable , our sample gave value of 0.588 and the approximate chi square and significance were adequate to proceed further for PCA.
Table 3- Showing Sample size information for EFA and CFA
|
Total
|
Male
|
Female
|
p-value
|
Reliability
|
n1=250
|
140
|
110
|
0.001
|
EFA
|
n2= 250
|
115
|
135
|
0.001
|
CFA
|
n3= 100
|
76
|
24
|
0.014
|
Total Number of participants
|
N = 600
|
331
|
269
|
|
Age (in Years)
|
Mean(SD)
|
Mean(SD)
|
Mean(SD)
|
P-value
|
Reliability
|
41.3(7.6)
|
38.2(7.6)
|
44.4(7.6)
|
0.001
|
EFA
|
35.7 (1.1)
|
41(1.1)
|
30.4(1.1)
|
|
CFA
|
39.9(1.2)
|
36.4(1.2)
|
43.4(1.2)
|
|
Table 4- Showing KMO and Bartlett’s test for Sample adequacy EFA
KMO measure of sampling adequacy
|
.588
|
Bartlett's Test of Sphericity
Approx Chi square
Degree of freedom
Significance
|
1.170
2775
.000
|
After principal component analysis 18 items found having low values in the component matrix were removed and then the PCA was run again . Total variance then found was 68% which was acceptable to move further for CFA
4.4.2 Confirmatory factor analysis
CFA was done using IBM SPSS AMOS 24. Results were as follows - χ2 = 336.4 , χ2/df 3.397, p < 0.001; comparative fit index (CFI)19 = 0.95;Incremental Fit index (IFI) = 0.562; Tucker Lewis index (TLI) = 0.247; Goodness of fit index (GFI) = 0.90; Root mean square error of approximation (RMSEA )20= 0.221.
All the factors were found to be significant. Image 1 shows path diagram of CFA in AMOS-SPSS
Sample size
Sample size for confirmatory factor analysis was 100 based on the rule of minimum sample size. Before running the PCA , Sample adequacy was tested by KMO and Bartlett’s test (Table 5 ) our sample gave value of 0.712
Table 5 - Showing KMO and Bartlett’s test for Sample adequacy CFA
KMO measure of sampling adequacy
|
.714
|
Bartlett's Test of Sphericity
Approx Chi square
Degree of freedom
Significance
|
6.261
1035
.000
|