Task Enjoyment as an Individual Difference Construct.

Are there individual differences in the tendency to enjoy tasks regardless of the tasks' contents or situational determinants? To answer this question, we constructed and validated the six-item Trait Task Enjoyment Scale (TTES). In Study 1, it had an internally consistent one-factor structure (pooled N = 997); good test-retest reliabilities over 1 and 4 months; measurement invariance regarding gender (strong) and time (partial strong); and was not redundant with respect to a large number of theoretically related constructs. In Studies 2 and 3, the TTES predicted self-reported momentary task enjoyment, one of its opposites, boredom, and voluntary persistence in a free-choice paradigm. It did so for various tasks, including thirty diverse tasks presented in vignettes and a memory task in the lab. Results suggest that the TTES may predict momentary task enjoyment regardless of objective task aversiveness or, in this case, equally well for tasks with boring or enjoyable contents. The TTES addresses an important gap in current research on task enjoyment and is an adequately valid and reliable research tool.

Measuring Implicit Motives with the Picture Story Exercise (PSE): Databases of Expert-Coded German Stories, Pictures, and Updated Picture Norms.

We present two openly accessible databases related to the assessment of implicit motives using Picture Story Exercises (PSEs): (a) A database of 183,415 German sentences, nested in 26,389 stories provided by 4,570 participants, which have been coded by experts using Winter's coding system for the implicit affiliation/intimacy, achievement, and power motives, and (b) a database of 54 classic and new pictures which have been used as PSE stimuli. Updated picture norms are provided which can be used to select appropriate pictures for PSE applications. Based on an analysis of the relations between raw motive scores, word count, and sentence count, we give recommendations on how to control motive scores for story length, and validate the recommendation with a meta-analysis on gender differences in the implicit affiliation motive that replicates existing findings. We discuss to what extent the guiding principles of the story length correction can be generalized to other content coding systems for narrative material. Several potential applications of the databases are discussed, including (un)supervised machine learning of text content, psychometrics, and better reproducibility of PSE research.

A dyadic typology of social desires in couples.

OBJECTIVE: Employing a couple-centered approach to social motivation in intimate relationships, we developed a dyadic typology based on the ABC model of communal and agentic social desires. METHOD: Using latent profile analysis, 631 heterosexual couples (age women: M = 39.7, SD = 13.6; age men: M = 42.0, SD = 14.1) were categorized regarding both partners' self-reported desires for closeness with partner, for affiliation with friends, and for being alone. Couple types were described using self-reported indicators of relationship functioning. Relationship stability was assessed after 1 year, and in stable couples, social desires were reassessed to examine continuity and change. RESULTS: We identified four motivational couple types. Three profiles showed similar orientations between partners and were labeled the communion, closeness, and distance couple types. Additionally, the distanced-man type was characterized by a low desire for closeness and a high desire for being alone in men, but not women. The communion and closeness types showed better relationship functioning than the other types, and the distanced-man type showed an increased rate of relationship break-up. CONCLUSIONS: A couple-centered, typological approach provides a viable way of studying complex dyadic motivational constellations and their consequences. This is beneficial for researchers as well as practitioners.