Traditionally, assessments in psychosocial work environment research and practice utilize unidimensional response formats. This presupposes that higher or lower values are better or worse. Using unidimensional questions to assess multidimensional variables such as workload can be misleading. Two-dimensional assessments using completing questions that indicate different aspects of the same construct may increase assessment precision and correctness. The current study aims to elucidate if and how two-dimensional assessments of workload, that is, consistent ratings of high or low workload and level of satisfaction with it in repeated assessments, are related to outcomes in indicators of health, stress, well-being and the psychosocial work environment, both cross-sectionally and over time. 1284 study participants were followed for over 2 years. The results clearly and systematically demonstrated that often or rarely having too much to do, is not a reliable nor valid indicator of health, stress, well-being and psychosocial work environment-related outcomes. In contrast, the satisfaction dimension is systematically and consistently related to statistically significant and more pronounced differences in these outcomes. To properly help individuals at risk, both aspects of workload need to be assessed and accounted for. Whereas satisfaction is a better indicator of outcomes, the perceived workload magnitude is needed to intervene properly.

中文翻译：

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工作量评估：是时候得出准确的结论而不是先入为主的观念了

传统上，心理社会工作环境研究和实践中的评估采用单维响应格式。这预设了较高或较低的值更好或更差。使用一维问题来评估多维变量（例如工作量）可能会产生误导。使用完成表明同一结构的不同方面的问题的二维评估可以提高评估的精确度和正确性。本研究旨在阐明工作量的二维评估（即在重复评估中对高或低工作量的一致评级以及对工作量的满意度）是否以及如何与健康、压力、幸福感指标的结果相关以及跨部门和长期的社会心理工作环境。1284 名研究参与者接受了为期 2 年多的跟踪调查。结果清楚而系统地表明，经常或很少有太多事情要做，并不是健康、压力、福祉和心理社会工作环境相关结果的可靠或有效指标。相比之下，满意度维度与这些结果的统计显着性和更显着的差异系统地、一致地相关。为了正确帮助面临风险的个人，需要评估和考虑工作量的两个方面。虽然满意度是衡量结果的更好指标，但需要感知工作量大小才能进行适当干预。满意度维度与这些结果的统计显着性和更显着的差异系统地、一致地相关。为了正确帮助面临风险的个人，需要评估和考虑工作量的两个方面。虽然满意度是衡量结果的更好指标，但需要感知工作量大小才能进行适当干预。满意度维度与这些结果的统计显着性和更显着的差异系统地、一致地相关。为了正确帮助面临风险的个人，需要评估和考虑工作量的两个方面。虽然满意度是衡量结果的更好指标，但需要感知工作量大小才能进行适当干预。