Why individuals want money is what matters: Using self-determination theory to explain the differential relationship between motives for making money and employee psychological health

Researchers have debated for years whether money can lead to happiness. Indeed, the findings to date are contradictory in regard to the impact of individuals’ motives for making money on their psychological well-being. This study aimed to reconcile these findings and show that certain motives for making money can be beneficial to individuals’ psychological health, while others can be detrimental, not only by reducing well-being, but also by increasing ill-being. Based on self-determination theory, basic psychological needs (autonomy, competence, and relatedness) were hypothesized to be the psychological mechanism explaining these differential effects. More precisely, need satisfaction and need frustration were hypothesized to mediate the relationship between employees’ money motives and psychological health (well-being and ill-being). Our findings suggest that self-integrated motives for making money lead to greater well-being and lesser ill-being by positively predicting need satisfaction and negatively predicting need frustration. On the other hand, non-integrated motives for making money appear to result in lesser well-being and greater ill-being by being negatively associated with need satisfaction and positively associated with need frustration. Together, these findings suggest that money motives can have differential effects on employees’ psychological health depending on whether these underlying reasons are need-satisfying or need-frustrating life goals.     

Digging deeper: A response to commentaries on The roots of human altruism

The current response discusses the insightful commentaries by Dale Hay (2009) and Karen Wynn (2009) on the proposal that human altruism has deep roots both in phylogeny and ontogeny ( Warneken & Tomasello, 2009 ). In particular, I focus on (a) what observational and experimental methods can reveal about altruistic motivations in children, (b) Wynn's idea that early altruism might confer a selective advantage to the infants themselves, and (c) how recent findings on young children's social ontology will enable us to test the hypothesis that ontogeny proceeds from rather global to more differentiated altruistic behaviours.     

Therapeutic alliance in guided internet-delivered cognitive behavioural treatment of depression, generalized anxiety disorder and social anxiety disorder

Guided internet-delivered cognitive behaviour therapy (ICBT) has been found to be effective in several controlled trials, but the mechanisms of change are largely unknown. Therapeutic alliance is a factor that has been studied in many psychotherapy trials, but the role of therapeutic alliance in ICBT is less well known. The present study investigated early alliance ratings in three separate samples. Participants from one sample of depressed individuals (N = 49), one sample of individuals with generalized anxiety disorder (N = 35), and one sample with social anxiety disorder (N = 90) completed the Working Alliance Inventory (WAI) modified for ICBT early in the treatment (weeks 3-4) when they took part in guided ICBT for their conditions. Results showed that alliance ratings were high in all three samples and that the WAI including the subscales of Task, Goal and Bond had high internal consistencies. Overall, correlations between the WAI and residualized change scores on the primary outcome measures were small and not statistically significant. We conclude that even if alliance ratings are in line with face-to-face studies, therapeutic alliance as measured by the WAI is probably less important in ICBT than in regular face-to-face psychotherapy.     

Surface‐ and deep‐level dissimilarity effects on social integration and individual effectiveness related outcomes in work groups: A meta‐analytic integration

Prior research linking demographic (e.g., age, ethnicity/race, gender, and tenure) and underlying psychological (e.g., personality, attitudes, and values) dissimilarity variables to individual group member's work‐related outcomes produced mixed and contradictory results. To account for these findings, this study develops a contingency framework and tests it using meta‐analytic and structural equation modelling techniques. In line with this framework, results showed different effects of surface‐level (i.e., demographic) dissimilarity and deep‐level (i.e., underlying psychological) dissimilarity on social integration, and ultimately on individual effectiveness related outcomes (i.e., turnover, task, and contextual performance). Specifically, surface‐level dissimilarity had a negative effect on social integration under low but not under high team interdependence. In return, social integration fully mediated the negative relationship between surface‐level dissimilarity and individual effectiveness related outcomes under low interdependence. In contrast, deep‐level dissimilarity had a negative effect on social integration, which was stronger under high and weaker under low team interdependence. Contrary to our predictions, social integration did not mediate the negative relationship between deep‐level dissimilarity and individual effectiveness related outcomes but suppressed positive direct effects of deep‐level dissimilarity on individual effectiveness related outcomes. Possible explanations for these counterintuitive findings are discussed.     

TripleR: An R package for social relations analyses based on round-robin designs

In this article, we present TripleR, an R package for the calculation of social relations analyses (Kenny, 1994) based on round-robin designs. The scope of existing software solutions is ported to R and enhanced with previously unimplemented methods of significance testing in single groups (Lashley & Bond, 1997) and handling of missing values. The package requires only minimal knowledge of R, and results can be exported for subsequent analyses to other software packages. We demonstrate the use of TripleR with several didactic examples.     

The language of landmarks: the role of background knowledge in indoor wayfinding

To effectively wayfind through unfamiliar buildings, humans infer their relative position to target locations not only by interpreting geometric layouts, especially length of line of sight, but also by using background knowledge to evaluate landmarks with respect to their probable spatial relation to a target. Questionnaire results revealed that participants have consistent background knowledge about the relative position of target locations. Landmarks were rated significantly differently with respect to their spatial relation to targets. In addition, results from a forced-choice task comparing snapshots of a virtual environment revealed that background knowledge influenced wayfinding decisions. We suggest that landmarks are interpreted semantically with respect to their function and spatial relation to the target location and thereby influence wayfinding decisions. This indicates that background knowledge plays a role in wayfinding.     

Error detection and error memory in spatial navigation as reflected by electrodermal activity

The study investigated spatial navigation by means of electrodermal activity (EDA). Two groups of healthy subjects (group 1, age <38; group 2, age ≥38) were recorded during navigation through two 3-D virtual mazes differing in difficulty, that is, Maze Simple (MazeS) and Maze Complex (MazeC). Our results show (1) an effect of difficulty, that is, larger skin conductance responses (SCRs) and slower velocity profiles while navigating through MazeC as compared to MazeS. (2) An effect of age, that is, larger SCRs and faster velocity profiles in younger subjects (group 1) compared to older subjects (group 2). (3) An effect of maze region, that is, SCRs increased when subjects entered dead ends with group 1 (young group) decreasing in velocity, whereas group 2 (old group) increased in velocity. (4) And an error memory effect, that is, subjects who remembered an error at a given decision point (crossroads preceding dead ends in MazeC) from previous trials, and then if they did not repeat that error, elicited decreased SCRs as compared to subjects who did not remember and subsequently repeated an error. The latter aspect is the most impactful as it shows that EDA is able to reflect error detection and memory during spatial navigation. Our data designate EDA as suitable monitoring tool for identification and differentiation of the affective correlates underlying spatial navigation, which has recently attracted researchers’ attention due to its increased use in 3-D virtual environments.