Researchers frequently rely on general linear models (GLMs) to investigate the impact of human resource management (HRM) decisions. However, the structure of organizations and recent technological advancements in the measurement of HRM processes cause contemporary HR data to be hierarchical and/or longitudinal. At the same time, the growing interest in effects at different levels of analysis and over prolonged periods of time further drives the need for HRM researchers to differentiate from traditional methodology. While multilevel techniques have become more common, this article proposes two additional methods that may complement the current methodological toolbox of HRM researchers. Latent bathtub models can accurately describe the multilevel mechanisms occurring in organizations, even if the outcome resides at the higher level of analysis. Optimal matching analysis can be useful to unveil longitudinal patterns in HR data, particularly in contexts where HRM processes are measured on a continuous basis. Illustrating the methods’ applicability to research on employee engagement, this paper demonstrates that the HRM community—both research and practice—can benefit from a more diversified methodological toolbox, drawing on techniques from within and outside the direct field to improve the decision‐making process.
Sorption effects of a number of combinations of indoor materials and volatile organic compounds have been investigated. A limited number of experiments have been conducted to investigate the influence of parameters such as the adsorption time, the desorption time, the concentration of the pollutants and the temperature, on the sorption. Experiments were performed with vapours of single compounds and with mixtures of VOCs. All parameters have an influence on the sorption. A relatively quick screening method can be applied with mixtures of VOCs with a limited adsorption time and desorption time (6 h each). Air samples should be collected at the end of the adsorption time and during the desorption time.
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