Does coaching work? A meta-analysis on the effects of coaching on individual level outcomes in an organizational context

Whereas coaching is very popular as a management tool, research on coaching effectiveness is lagging behind. Moreover, the studies on coaching that are currently available have focused on a large variety of processes and outcome measures and generally lack a firm theoretical foundation. With the meta-analysis presented in this article, we aim to shed light on the effectiveness of coaching within an organizational context. We address the question whether coaching has an effect on five both theoretically and practically relevant individual-level outcome categories: performance/skills, well-being, coping, work attitudes, and goal-directed self-regulation. The results show that coaching has significant positive effects on all outcomes with effect sizes ranging from g = 0.43 (coping) to g = 0.74 (goal-directed self-regulation). These findings indicate that coaching is, overall, an effective intervention in organizations.     

Bayesian inference for psychology. Part II: Example applications with JASP

Bayesian hypothesis testing presents an attractive alternative to p value hypothesis testing. Part I of this series outlined several advantages of Bayesian hypothesis testing, including the ability to quantify evidence and the ability to monitor and update this evidence as data come in, without the need to know the intention with which the data were collected. Despite these and other practical advantages, Bayesian hypothesis tests are still reported relatively rarely. An important impediment to the widespread adoption of Bayesian tests is arguably the lack of user-friendly software for the run-of-the-mill statistical problems that confront psychologists for the analysis of almost every experiment: the t-test, ANOVA, correlation, regression, and contingency tables. In Part II of this series we introduce JASP (http://www.jasp-stats.org), an open-source, cross-platform, user-friendly graphical software package that allows users to carry out Bayesian hypothesis tests for standard statistical problems. JASP is based in part on the Bayesian analyses implemented in Morey and Rouder’s BayesFactor package for R. Armed with JASP, the practical advantages of Bayesian hypothesis testing are only a mouse click away.     

Mindfulness Based Flourishing Program: A Cross-Cultural Study of Hong Kong Chinese and British Participants

The Mindfulness Based Flourishing Program (MBFP) is an online 8-week intervention developed for enhancing wellbeing with the use of mindfulness practices, through targeting a range of positive variables. The efficacy of the MBFP has been demonstrated in a randomized controlled trial, and in order to further establish it as an intervention with widespread application, cross-cultural validation is warranted. The current study was conducted with the primary aim of testing the validity of the MBFP with a Hong Kong Chinese population, as well as verifying its positive effects. A randomized wait-list controlled design was adopted with 115 participants (92 females, mean age = 31.50). Intervention outcomes were compared between Hong Kong Chinese and British participants. Five positive variables were examined (self-compassion, meaning in life, positive and negative emotions, gratitude, and mindfulness), and measures were taken pre- and post-intervention. Significant gains in wellbeing measures were observed in both the Hong Kong Chinese and the British experimental groups. Levels of wellbeing post-intervention were also higher for the two experimental groups as compared to their control counterparts. The current study provides preliminary evidence for the MBFP’s cross-cultural validity, and strengthens previous claims for its efficacy as a new, accessible alternative for enhancing wellbeing.     

What to expect from your remote eye-tracker when participants are unrestrained

The marketing materials of remote eye-trackers suggest that data quality is invariant to the position and orientation of the participant as long as the eyes of the participant are within the eye-tracker’s headbox, the area where tracking is possible. As such, remote eye-trackers are marketed as allowing the reliable recording of gaze from participant groups that cannot be restrained, such as infants, schoolchildren and patients with muscular or brain disorders. Practical experience and previous research, however, tells us that eye-tracking data quality, e.g. the accuracy of the recorded gaze position and the amount of data loss, deteriorates (compared to well-trained participants in chinrests) when the participant is unrestrained and assumes a non-optimal pose in front of the eye-tracker. How then can researchers working with unrestrained participants choose an eye-tracker? Here we investigated the performance of five popular remote eye-trackers from EyeTribe, SMI, SR Research, and Tobii in a series of tasks where participants took on non-optimal poses. We report that the tested systems varied in the amount of data loss and systematic offsets observed during our tasks. The EyeLink and EyeTribe in particular had large problems. Furthermore, the Tobii eye-trackers reported data for two eyes when only one eye was visible to the eye-tracker. This study provides practical insight into how popular remote eye-trackers perform when recording from unrestrained participants. It furthermore provides a testing method for evaluating whether a tracker is suitable for studying a certain target population, and that manufacturers can use during the development of new eye-trackers.