Background: The use of information and communication technologies by employees of organizations may cause technostress for their users. The sources of technostress in organizations are techno-overload, techno-invasion, techno-complexity, techno-insecurity, techno-uncertainty. An organization may also have technostress inhibitors that counteract the experience of technostress. Material and Methods: The purpose of this research was to determine the psychometric properties of the Polish adaptation of Technostress Creators and Technostress Inhibitors Scale. Results: In the first study (N = 632), the 8-factor structure of the questionnaire was confirmed by the use of confirmatory factor analysis (CFA). Furthermore, a high internal consistency of the adapted method was obtained. The second study (N = 451) confirmed the external validity of the adapted method by correlating it with the Perceived Stress Scale. The third study (N = 123) confirmed high stability at the time of results obtained in 2 measurements with the adapted scale. Conclusions: To conclude, it can be stated that the Polish adaptation of the Technostress Creators and Technostress Inhibitors Scale is characterized by good psychometric indicators and can be successfully used in various organizations in the diagnosis and reduction of technostress. Med Pr. 2022;73(4)
Self-efficacy is widely regarded as a key factor in shaping one’s own career. To date, self-efficacy has usually been measured on a one-dimensional basis without taking into account the interaction between the various social roles involved in career development. The social roles were described by Donald E. Super in his career development theory. Adopting this framework, we provide a questionnaire to simultaneously measure self-efficacy in Super’s five described social roles. This work presents the development and validation of a new questionnaire entitled the Life Roles Self-Efficacy Scale (LRSES). The questionnaire has been developed based on a series of surveys: the first survey (N = 347) aimed to establish the exploratory factor analysis (EFA) and basic psychometric properties of the tool; the second survey (N = 494) aimed to verify the confirmatory factor analysis of the method (CFA) and reliability parameters with regard to a new sample; and the third survey (N = 109) explored the consistency of results over time. Statistical analysis confirmed this tool to be accurate for assessing one’s self-efficacy in school-to-work transitions.
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