2022
DOI: 10.24136/eq.2022.034
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Inclusiveness as a key determinant of work engagement: evidence from V4 countries

Abstract: Research background: There is currently a need for empirical research regarding the validity of specific work environment model elements supported by strong statistical evidence. The amount of research conducted in this field has been particularly limited in Central-Eastern Europe. The desire to fill in these gaps was at least in part responsible for the uniqueness of the research approach and its differences from previous similar studies. Purpose of the article: The purpose of this study was to examine factor… Show more

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Cited by 7 publications
(7 citation statements)
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“…The advantage of this data analysis method is that it can be used to analyze the structure and strength of linear relationships between observable variables. It enables the identification and analysis of cause-and-effect relationships (such as regression and correlation) or covariance [35][36][37][38][39][40]. Calculations were made using IBM Statistics version 28 and AMOS software version 29.…”
Section: Methodsmentioning
confidence: 99%
“…The advantage of this data analysis method is that it can be used to analyze the structure and strength of linear relationships between observable variables. It enables the identification and analysis of cause-and-effect relationships (such as regression and correlation) or covariance [35][36][37][38][39][40]. Calculations were made using IBM Statistics version 28 and AMOS software version 29.…”
Section: Methodsmentioning
confidence: 99%
“…It is crucial to emphasise the importance of considering the motivational basis behind impaired goal pursuit, specifically in terms of alignment with personal values and fundamental needs (Heckova et al, 2022). While a motivational perspective on procrastination has been explored previously (Klingsieck, 2013), (Borisov & Vinogradov, 2022), our contribution is distinctive in integrating complementary theoretical perspectives, methodological approaches, and analytical levels.…”
Section: Theoretical Backgroundmentioning
confidence: 99%
“…The final model is a combination of regression and factor analysis, the result of which is the regression of latent variables (e.g., Jann, 2014). The SEM method is a method of multivariate statistics suitable for evaluating research aimed at examining respondents' attitudes in the economic and psychological spheres (Sarstedt et al, 2022;Borisov & Vinogradov, 2022). The suitability of the final model can be verified by selected measures (processed according to Hair et al, 2012): Goodness of Fit (GFI); CMIN/DF -The minimum discrepancy; Comparative Fit Index (CFI); Root Mean Square Error of Approximation (RMSEA); Normed fit index (NFI).…”
Section: End Of Tablementioning
confidence: 99%