Would you Value a few More Hours of work? Underemployment and Subjective Well-Being Across Chilean Workers

Underemployment has gained attention in recent years because of its effects on health and well-being (life satisfaction), it is a widespread phenomenon in the labor force that affects not only workers, but also households, companies and governments. This paper explores the relationship between underemployment and subjective well-being for a representative sample of Chilean workers using an ordered probit model. Also, by using different underemployment definitions and a latent class ordered probit model we analyze the observed and unobserved heterogeneity in this relationship. Finally, we assess the monetary valuation of well-being costs by estimating the amount of money that a worker is willing to accept in order to bear the potential negative effects of underemployment on well-being. Our results find a negative relationship between underemployment and subjective well-being, as the average worker is willing to accept an increase of CLP$64,009 (roughly 30.5% of the minimum wage) in her/his monthly wage for being underemployed. If we take into account the observed and unobserved heterogeneity, our results identify a group that is not sensitive to underemployment, while others are willing to accept an increase of CLP$146,622 in her/his monthly wage for being underemployed. Our work highlights the importance of well-being in the workplace and has implications for labor flexibility legislation and the empowerment of workers. Heterogeneous responses to underemployment imply that one-size-fits-all policies to regulate working hours might not suffice.

     

An Empirical Investigation of Partial Effect Sizes in Meta-Analysis of Correlational Data

ABSTRACT. The partial correlation and the semi-partial correlation can be seen as measures of partial effect sizes for the correlational family. Thus, both indices have been used in the meta-analysis literature to represent the relationship between an outcome and a predictor of interest, controlling for the effect of other variables in the model. This article evaluates the accuracy of synthesizing these two indices under different situations. Both partial correlation and the semi-partial correlation appear to behave as expected with respect to bias and root mean squared error (RMSE). However, the partial correlation seems to outperform the semi-partial correlation regarding Type I error of the homogeneity test (Q statistic). Although further investigation is needed to fully understand the impact of meta-analyzing partial effect sizes, the current study demonstrates the accuracy of both indices.     

People use the memory for past-test heuristic as an explicit cue for judgments of learning

When people estimate their memory for to-be-learned material over multiple study–test trials, they tend to base their judgments of learning (JOLs) on their test performance for those materials on the previous trial. Their use of this information—known as the memory for past-test (MPT) heuristic—is believed to be responsible for improvements in the relative accuracy (resolution) of people’s JOLs across learning trials. Although participants seem to use past-test information as a major basis for their JOLs, little is known about how learners translate this information into a judgment of learning. Toward this end, in two experiments, we examined whether participants factored past-test performance into their JOLs in either an explicit, theory-based way or an implicit way. To do so, we had one group of participants (learners) study paired associates, make JOLs, and take a test on two study–test trials. Other participants (observers) viewed learners’ protocols and made JOLs for the learners. Presumably, observers could only use theory-based information to make JOLs for the learners, which allowed us to estimate the contribution of explicit and implicit information to learners’ JOLs. Our analyses suggest that all participants factored simple past-test performance into their JOLs in an explicit, theory-based way but that this information made limited contributions to improvements in relative accuracy across trials. In contrast, learners also used other privileged, implicit information about their learning to inform their judgments (that observers had no access to) that allowed them to achieve further improvements in relative accuracy across trials.     

Fear-related state dependent memory

State dependent memory (SDM) refers to superior performance when information is retrieved in the same emotional state in which it was learned. Certain conditions generate this effect more reliably - including internal learning tasks, cue-free retrieval, and strong, stable emotional states with associated arousal. This study assesses whether SDM occurs in relation to states of fear and relaxation when these conditions are in place. We induced fear or relaxation in spider- or snake-fearful undergraduate participants (N = 54). Those who were in the same state during learning and later retrieval recalled more learned words than did those who were in different states on the two occasions. This provides support for the existence of SDM under certain constraints.     

Mixing qualitative and quantitative research in developmental science: uses and methodological choices

Multiple methods are vital to understanding development as a dynamic, transactional process. This article focuses on the ways in which quantitative and qualitative methodologies can be combined to enrich developmental science and the study of human development, focusing on the practical questions of "when" and "how." Research situations that may be especially suited to mixing qualitative and quantitative approaches are described. The authors also discuss potential choices for using mixed quantitative- qualitative approaches in study design, sampling, construction of measures or interview protocols, collaborations, and data analysis relevant to developmental science. Finally, they discuss some common pitfalls that occur in mixing these methods and include suggestions for surmounting them.     

Differences between African Americans and Whites in reactions to affirmative action programs in hiring, promotion, training, and layoffs

This study examines the reactions of African Americans and Whites to affirmative action programs (AAPs) applied to 4 human resource activities: hiring, promotion, training, and layoffs. The results of a scenario-based experimental study conducted on a large sample (N > 800) of advanced undergraduate and MBA business school participants generally supported the hypothesis that human resource activity elicited systematic differences in reaction to AAPs between African Americans and Whites. The authors also replicated previous research on the effect of AAP strength and prior discrimination by the organization on reactions to AAPs. Results indicated that AAP strength levels moderated racial differences in reaction to AAPs, while the moderating role of prior discrimination by the organization was not supported. Implications for future research are discussed.     

Contexts,relationship quality,and family value socialization: The case of parent–school ideological fit in Israel

Parent–school ideological fit is studied as the context of parent–child relationships and socialization. It was hypothesized that parents’ choice of school environments that promote values consistent with parents’ values is related to a better parent–child relationship and facilitates socialization. Participants were 589 Israeli families with religious, traditional, and nonreligious parents, whose adolescent children attended either religious or nonreligious schools. Most parents chose high–fit contexts—that is, schools that fit their own values. Parents in high–fit contexts exhibited relatively higher levels of value consistency, but lower levels of value discussion with their children. Value conflict with parents was lower in high–fit contexts, and the relationship with the father, but not with the mother, was warmer and closer. Accuracy of perception and acceptance of parental values, and parent–child value congruence were higher in high fit contexts, an effect partially mediated by relationship characteristics. The relevance of fit for family relationships, socialization, and school adaptation is discussed.     

Extracting the Variance Inflation Factor and Other Multicollinearity Diagnostics from Typical Regression Results

Multicollinearity is a potential problem in all regression analyses. However, the examination of multicollinearity is rarely reported in primary studies. In this article we discuss and show several post hoc methods for assessing multicollinearity. One such multicollinearity diagnostic is the variance inflation factor. We outline the post hoc variance inflation factor method, which computes the variance inflation factor from the standardized regression coefficient and semi-partial correlation, both of which can be calculated from commonly reported regression results. Three examples of computing multicollinearity diagnostics using data from published studies are shown. We conclude with a discussion and practical implications.     

Cognitive fusion and emotion differentiation: does getting entangled with our thoughts dysregulate the generation,experience and regulation of emotion?

We tested whether cognitive fusion impairs emotion differentiation and thereby mediates relations between cognitive fusion and depression and panic symptoms among 55 adults (M_age?=?26.8 (3.9), 50.9% women). Using visual stimuli, we elicited multiple emotion states and measured (a) emotional intensity – the subjective emotion intensity of elicited emotions (i.e. Specific Emotion Intensity – SEI), as well as (b) emotional differentiation – the degree of co-activation of multiple negative emotions when a specific emotion was elicited (i.e. Multiple Emotion Co-Activation – MECA). First, as hypothesised, we found that cognitive fusion predicted lower levels of emotion differentiation (MECA). In contrast, as hypothesised, these effects were significantly greater than the (null) effects of cognitive fusion on emotion intensity (SEI). Second, as predicted, MECA, but not SEI, predicted depression and panic symptoms. Finally, we found that MECA mediated the effects of cognitive fusion on depression and panic symptoms. The present findings contribute novel, preliminary empirical insight into associations between cognitive fusion, impaired emotion differentiation and mental ill-health.