PSYCHOLOGICAL AND PHYSIOLOGICAL REACTIONS TO HIGH WORKLOADS: IMPLICATIONS FOR WELL-BEING

We report a field study examining within-individual effects of workload on distress at work and daily well-being. The study was conducted using experience-sampling methodology to measure daily workload, affective distress, and blood pressure throughout and at the end of each of 10 workdays, and emotional burnout and daily strain (two indicators of low well-being) during the evening in a sample of 64 full-time employees who provided a total of 354 person-day data points. We also measured employees’ job control and perceived organizational support with a separate survey. Results showed that workload was positively associated with affective distress and blood pressure, and with the indicators of low daily well-being. Furthermore, affective distress mediated the relationship between workload and daily well-being. More importantly, job control and organizational support had cross-level moderating influences on the relationships of workload with affective distress and blood pressure such that these relationships were weaker for participants who reported having more control on their job, as well as for participants who reported receiving more organizational support.     

PROGRESS IN PSYCHOMETRICS: CAN INDUSTRIAL AND ORGANIZATIONAL PSYCHOLOGY CATCH UP?

Murphy and DeShon (2000) show that interrater correlations do not provide reasonable estimates of the reliability of job performance ratings, and suggest that better estimates can be obtained by applying the methods of generalizability theory. Schmidt, Viswesvaran, and Ones (2000) criticize our suggestions as radical, and argue that: (a) the reliability of ratings should be evaluated using the parallel test model rather than the more general and more realistic generalizability model, (b) reliability and validity are distinct concepts that should not be confused, and (c) measurement models have little to do with substantive models of the processes that generate scores on a test or measure. All three of these ideas were once part of the psychometric mainstream, but progress in psychometrics over the last 3 decades has moved the field well beyond these assumptions and approaches. Modern psychometric theory calls for close linkages between measurement models and substantive models of the phenomena being measured.     

The Creation Process of Brazilian Musicians

This study investigated the creative process of well‐known musicians in Brasília, Brazil and the conditions that facilitated the development of their creative abilities. A sample of 14 professional musicians (11 composers and 3 performers) participated in semi‐structured interviews to discuss the following topics: musical formation, dedicating time to music, working conditions, creativity in music, the creative process, and the importance of music in their lives. The results indicated that the majority of the musicians view creativity as a complex process supported by many factors, especially the environment. Four stages of the creative process were described by these musicians: process triggering, preparation, product elaboration, and product validation.     

What kind of love is love at first sight? An empirical investigation

Love at first sight (LAFS) is a commonly known phenomenon, but has barely been investigated scientifically. Major psychological theories of love predict that LAFS is marked by high passion. However, it could also be a memory confabulation construed by couples to enhance their relationship. We investigated LAFS empirically by assessing feelings of love at the moment participants met potential partners for the first time. Data were collected from an online study, a laboratory study, and three dating events. Experiences of LAFS were marked neither by high passion, nor by intimacy, nor by commitment. Physical attraction was highly predictive of reporting LAFS. We therefore suggest that LAFS is not a distinct form of love, but rather a strong initial attraction that some label as LAFS, either in the moment of first sight or retrospectively.     

Easing the Inferential Leap in Competency Modelling: The Effects of Task‐related Information and Subject Matter Expertise*

Despite the rising popularity of the practice of competency modeling, research on competency modeling has lagged behind. This study begins to close this practice–science gap through 3 studies (1 lab study and 2 field studies), which employ generalizability analysis to shed light on (a) the quality of inferences made in competency modeling and (b) the effects of incorporating elements of traditional job analysis into competency modeling to raise the quality of competency inferences. Study 1 showed that competency modeling resulted in poor interrater reliability and poor between‐job discriminant validity amongst inexperienced raters. In contrast, Study 2 suggested that the quality of competency inferences was higher among a variety of job experts in a real organization. Finally, Study 3 showed that blending competency modeling efforts and task‐related information increased both interrater reliability among SMEs and their ability to discriminate among jobs. In general, this set of results highlights that the inferences made in competency modeling should not be taken for granted, and that practitioners can improve competency modeling efforts by incorporating some of the methodological rigor inherent in job analysis.