Scale-Description
The Individual Innovativeness Scale (IIS-20) was developed to measure the degree of individual innovativeness, that is, a person’s natural disposition to accept or reject new ideas, technologies, or changes. The scale consists of 20 questions that assess aspects such as:
The individual’s willingness to try new things.
The tendency to seek new solutions or innovative approaches.
The individual’s adaptability to new conditions or technologies.
Resistance to change and perceptions of risk associated with innovation.
Data Analysis and Usage
Data from the IIS-20 is collected through responses typically given on Likert-type scales (e.g., from 1 to 5, where 1 = not at all and 5 = very much). The questions relate to the individual’s self-assessment of their innovative capabilities, while the overall score represents the level of innovative behavior.
Statistical techniques such as:
Factor analysis are used to identify the key dimensions of innovativeness.
Reliability analysis to assess the consistency of the scale, such as calculating Cronbach’s alpha.
The scores can be used in correlations with other variables, such as work performance, technology adoption, or perceptions of innovation in professional settings.
The IIS-20 can be applied in various contexts, such as business, education, and product development, to assess individuals’ readiness and ability to incorporate new technologies or practices.
Purpose
The primary goal of the IIS-20 is to assess the degree of innovativeness of an individual. Innovation is considered a key factor in personal and professional development, and understanding a person’s capacity for innovation can help in managing change, developing new strategies, and improving performance, whether in the workplace or other settings.
The IIS-20 also aids in studying the relationship between innovation and other psychological factors, such as resilience to change and adaptability to new situations.
Calibration
The calibration of the IIS-20 involves using psychometric methods such as:
Reliability analysis to assess the internal consistency of the scale, e.g., by calculating Cronbach’s alpha.
Factor analysis to identify the underlying dimensions of innovativeness and confirm the structure of the scale.
Validation across different populations to ensure that the scale is appropriate and reliable across different groups and cultures.
Bibliography
Hurt, H. T., Joseph, K., & Cook, C. D. (1977). Scales for the measurement of innovativeness. Human Communication Research, 4(1), 58-65.
Goldsmith, R. E., & Hofacker, C. F. (1991). Measuring consumer innovativeness. Journal of the Academy of Marketing Science, 19(3), 209-221.
Rogers, E. M. (2003). Diffusion of Innovations (5th ed.). Free Press.