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This article presents the results of correlation studies on the General Beliefs About Work Scale (GBWS) of the Working Excessively Questionnaire (WEQ), developed by Hornowska and Paluchowski (2007). GBWS consists of items describing possible beliefs about work. Many of them refer to the attitude towards the working hours. The results of the GBWS may be used to fi nd internal factors that contribute to excessive workload. Our aim was to analyze the psychological correlates of a belief that work defi nes the value of a person. We formulated hypotheses concerning the relationship between the GBWS and constructs like attachment style, temperament traits, hope for success, self-esteem and demographic data.
EN
This article presents the results of correlation studies on the Lack of Control Over Work Scale (LCWS) of the Working Excessively Questionnaire (WEQ), developed by Hornowska and Paluchowski (2007). LCWS consists of items indicating a lack of control over the work sphere, in the cognitive, behavioral and social dimension. The results of the LCWS Scale may be applied to research with the use of WEQ questionnaire as a scree ning tool allowing to differentiate the individuals addicted to work from those who are not in danger of becoming addicted or those who are in the risk group. The aim of our study was to investigate the psychological correlates of the lack of control over work. We formulated hypotheses concerning the relationship between the LCWS and constructs like self-esteem, locus of control, temperamental traits, and sense of mission. We also tested hypothesis concerning demographic factor and the LCWS.
EN
This article presents the results of correlation studies on the Perfectionist Working Style Scale (PWSS) of the Working Excessively Questionnaire (WEQ), developed by Hornowska and Paluchowski (2007). The items of PWSS do not relate to consequences of excessive workload or work addiction, as much as to potential causes of these phenomena. The items pertain to a person’s way / style of preparing and conducting work activities, which is characterized by a person’s excessive strive for excellence. The aim of the study was to investigate the psychological correlates of the perfectionist working style. We formulated hypotheses that apply to the relationship between PWSS and constructs such as self-esteem, locus of control, temperamental traits, hope for success and need for achievement.
EN
This article presents the results of correlation studies on the Perceived Oppressiveness of the Organization Scale (POOS) of the Working Excessively Questionnaire (WEQ) - developed by Hornowska and Paluchowski (2007). POOS consists of items referring to a person’s functioning within their work organization. Answers on this scale allow to point out the risk factors associated with workplace characteristics that may lead to work addiction. The aim of the study was to investigate the psychological correlates of the perceived oppressiveness of a workplace. We hypothesized that the POOS may be connected to constructs like locus of control, temperamental traits and self esteem. We also tested the demographic factors.
EN
A comprehensive understanding of participants’ motives to complete web-based surveys has the potential to improve data quality. In this study we tested the construct validity of a scale developed to measure motivation to participate in webbased surveys. We expected that 7 different motivations observed in our previous study will form a 3-factor structure, as predicted by Self-Determination Theory. This web-based questionnaire study comprised 257 participants completing the Voluntary Participation in Online Studies Scale. Their responses to 21 items underwent a principal component analysis and confi rmatory factor analysis. As we expected, three factors were identifi ed: intrinsic motivation, extrinsic motivation and amotivation. In line with Self-Determination Theory there are three distinct groups of motives among web-surveys participants with amotivation as an understudied motivational state. We discuss the results suggesting which types of motivation might lead to higher quality of data with an emphasis on possible negative effects of amotivation.
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