Table A1

List of retained items for data collection after CVI assessment

S. No.Item
code
ItemsE1E2E3E4E5E6E7E8E9E10NANAUAI-CVIPcκ*Interpretation
1Item 1I am not suspicious of new inventions and new ways of thinking111111111110100Yes10. 765631Excellent
2Item 2I trust new ideas even if I can't see whether the vast majority of people around me accept them111111111110100Yes10.0009765631Excellent
3Item 3I don't need to see other people using new innovations before I consider them11111111011091No0.90.0097656250.89901380Excellent
4Item 5I am usually one of the first people in my group to accept something new00111010111064No0.60.2050781250.49680589Fair
5Item 6I am receptive to new ideas11100111111082No0.80.0439453130.79080694Excellent
6Item 7I am updated with the latest in technology01111101111082No0.80.0439453130.79080694Excellent
7Item 8I am good at creating new combinations from old elements11011010101064No0.60.2050781250.49680589Fair
8Item 10I consider myself to be creative in my thinking111111111110100Yes10.0009765631Excellent
9Item 11I seek out new ways to do things11111101111091No0.90.0097656250.89901380Excellent
10Item 12I am creative in my methods of operation111111111110100Yes10.0009765631Excellent
11Item 13I think I have the requisite skills to think outside the box111111111110100Yes10.0009765631Excellent
12Item 14I trust my innovative thought process11111011111091No0.90.0097656250.89901380Excellent
13Item 15I have the skills to explore innovative ways to increase efficiency111111111110100Yes10.0009765631Excellent
14Item 16I use critical thinking skills to evaluate alternative solutions111111111110100Yes10.0009765631Excellent
15Item 18I have the requisite technical design skills for developing the latest in my field111111111110100Yes10.0009765631Excellent
16Item 19I keep learning new technologies111111111110100Yes10.0009765631Excellent
17Item 20I keep acquiring new skill-sets that will help me become more innovative111111111110100Yes10.0009765631Excellent
18Item 21I keep researching industry trends to stay ahead of the curve111111111110100Yes10.0009765631Excellent
19Item 22I frequently improvise methods for solving a problem when an answer is not apparent11001010111064No0.60.2050781250.49680589Fair
20Item 23To compete with my fellow colleagues, I keep thinking about innovative ways of doing work01011111111082No0.80.0439453130.79080694Excellent
21Item 24I am constantly thinking about new product or services that serve future needs11010111111082No0.80.0439453130.79080694Excellent
22Item 26I am recognised for being at the leading edge of technological innovation111111111110100Yes10.0009765631Excellent
23Item 27I am the first one who brings new ideas towards product and services11111101111091No0.90.0097656250.89901380Excellent
24Item 28I often discuss new ways of doing things with my leader111111111110100Yes10.0009765631Excellent
25Item 29I am challenged by unanswered questions111111111110100Yes10.0009765631Excellent
26Item 30I am challenged by ambiguities111111111110100Yes10.0009765631Excellent
27Item 32I often search for new solutions to the problems that arise11101101111082No0.80.0439453130.79080694Excellent
    1524.4   
  Total no of items27
  S-CVI/Ave (through ICVI)0.9037
  S-CVI/UA0.55
Notes:

Items retained for data collection based on I-CVI (>0.78), κ* (≥ 0.75), interpretation (excellent) and S-CVI value (>0.9); n = total number of experts. A = number of experts in agreement for a specific item. NA = difference between the total number of experts (N) and the number of experts in agreement (A). UA = universal agreement – items that gained consensus with a relevance rating of 3 or 4 from all experts. I-CVI: item-level content validity index – calculated by dividing the number of experts in agreement by the total number of experts for each item. Pc: probability of chance agreement – the likelihood that the agreement among experts occurred merely by chance. κ* = modified kappa – a statistical measure used to adjust for the possibility of chance agreement among the experts. S-CVI/Ave = scale-level content validity index (average method) – computed by taking the average of I-CVI scores for all items. S-CVI/UA = scale-level content validity index (universal agreement method) – determined by the proportion of items that received universal agreement from experts

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