Work passion is considered desirable as it's harmonious (HWP) facet is related to adaptive work outcomes while it's obsessive (OWP) facet is primarily related to less desirable work outcomes yet may also yield some benefits. The dualistic model of passion (Vallerand et al., 2003, 2019) suggests a major role of basic need satisfaction at work for work passion development, while basic need satisfaction off-work may play a role for OWP (Lalande et al., 2015). Yet how exactly HWP and OWP can be fostered or transformed into each other remains largely unknown. Therefore, this training study investigated if HWP can be fostered via an individual online-training targeting autonomy, competence, relatedness at work. Furhtermore, autonomy, competence, relatedness at leisure were measured alongside. The three wave experimental design study including 3 measurement occasions across 8 weeks in April to June in 2021 was completed by a sample of German working students (N=67). The training was designed as a real online experiment, containing separate branches for each of the three basic needs (with 5 exercises each) as well as a control group. Longitudinal multilevel-modelling revealed no effects of training on either autonomy, competency or relatedness at work, nor on HWP or OWP. Relationships among observed variables however, were mostly in line with theory. While the training was unsuccessful in fostering HWP/ OWP, this study gained relevant insights on how to approach the fostering HWP/ OWP in the workplace, points out where limits to this endeavour might be, and proposes a different perspective to be taken on the topic. Limitations are discussed and specific recommendations for future HWP/ OPW training studies are given. The R data files in this repository are heavily modified and ready for analysis with the attached R syntax. The .CSV data file contains the unprepared, anonymized data. Unfortunately, some free text input for the exercises contained personal innformation. Therefore, none of the according variables is included in any data files contained in this repository.
