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Innovative Behavior Inventory and Innovation Support Inventory: Translation and validation in Greek

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Abstract Background Innovative behavior and innovation support should be measured with valid tools to better understand employees’ attitudes. Aim To translate and validate the “Innovative Behavior Inventory” (IBI) and the “Innovation Support Inventory” (ISI) in Greek. Methods Our sample included 328 nurses in Greece. We performed our study during April 2024. We employed the forward-backward method to translate and adapt the IBI and the ISI in Greek language. We examined the construct validity of the scales by performing confirmatory factor analysis. We examined the concurrent validity of the scales using the “Quiet Quitting Scale” (QQS) and the single item burnout measure. We examined the reliability of the scales by calculating Cronbach’s alpha. Results IBI and ISI showed very good psychometric properties. Our confirmatory factor analysis confirmed the six-factor structure of the IBI and the three-factor structure of the ISI. Concurrent validity of the Greek versions of IBI and ISI was very good. We found statistically significant correlations between IBI and QQS (r = -0.540, p < 0.001), and single item burnout measure (r = -0.198, p < 0.001). We found statistically significant correlations between ISI and QQS (r = -0.313, p < 0.001), and single item burnout measure (r = -0.242, p < 0.001). Moreover, Cronbach’s coefficient alpha for all factors of IBI and ISI was higher than the acceptable cut-off of 0.700. Conclusions The Greek versions of the “Innovative Behavior Inventory” and the “Innovation Support Inventory” are reliable and valid tools to measure innovative behavior, innovation support and innovation outputs among workers.
Title: Innovative Behavior Inventory and Innovation Support Inventory: Translation and validation in Greek
Description:
Abstract Background Innovative behavior and innovation support should be measured with valid tools to better understand employees’ attitudes.
Aim To translate and validate the “Innovative Behavior Inventory” (IBI) and the “Innovation Support Inventory” (ISI) in Greek.
Methods Our sample included 328 nurses in Greece.
We performed our study during April 2024.
We employed the forward-backward method to translate and adapt the IBI and the ISI in Greek language.
We examined the construct validity of the scales by performing confirmatory factor analysis.
We examined the concurrent validity of the scales using the “Quiet Quitting Scale” (QQS) and the single item burnout measure.
We examined the reliability of the scales by calculating Cronbach’s alpha.
Results IBI and ISI showed very good psychometric properties.
Our confirmatory factor analysis confirmed the six-factor structure of the IBI and the three-factor structure of the ISI.
Concurrent validity of the Greek versions of IBI and ISI was very good.
We found statistically significant correlations between IBI and QQS (r = -0.
540, p < 0.
001), and single item burnout measure (r = -0.
198, p < 0.
001).
We found statistically significant correlations between ISI and QQS (r = -0.
313, p < 0.
001), and single item burnout measure (r = -0.
242, p < 0.
001).
Moreover, Cronbach’s coefficient alpha for all factors of IBI and ISI was higher than the acceptable cut-off of 0.
700.
Conclusions The Greek versions of the “Innovative Behavior Inventory” and the “Innovation Support Inventory” are reliable and valid tools to measure innovative behavior, innovation support and innovation outputs among workers.

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