The effects of weather on daily mood: a multilevel approach

The present study examines the effects of six weather parameters (temperature, wind power, sunlight, precipitation, air pressure, and photoperiod) on mood (positive affect, negative affect, and tiredness). Data were gathered from an online diary study (N = 1,233), linked to weather station data, and analyzed by means of multilevel analysis. Multivariate and univariate analyses enabled distinction between unique and shared effects. The results revealed main effects of temperature, wind power, and sunlight on negative affect. Sunlight had a main effect on tiredness and mediated the effects of precipitation and air pressure on tiredness. In terms of explained variance, however, the average effect of weather on mood was only small, though significant random variation was found across individuals, especially regarding the effect of photoperiod. However, these individual differences in weather sensitivity could not be explained by the Five Factor Model personality traits, gender, or age.     

Self-objectification and depressive symptoms: Does their association vary among Asian American and White American men and women?

Objectification Theory (Fredrickson & Roberts, 1997) posits that viewing one's body as an object – i.e., self-objectification – increases depressive symptomatology. Though a handful of studies to date have found self-objectification and depressive symptoms correlated among White American women, few studies have examined whether this finding generalizes to other social groups. We examine whether self-objectification and depressive symptoms are associated among Asian Americans and White Americans in a college sample of women and men (N = 169). Self-objectification and depressive symptoms were positively associated among White American women but not among White American men or Asian American men or women. These data suggest the parameters of Objectification Theory are circumscribed by both race/ethnicity and gender and self-objectification may put White women, in particular, at risk for depressive symptoms.     

Different ways of looking at unpleasant truths: How construal levels influence information search

When not knowing the negative outcome of past decision, people search for more information even when it confirms their negative suspicion. What drives this information search is the hope that the unpleasant state of “not knowing” ends when one faces the truth [Shani, Y., Tykocinski, O. E., &; Zeelenberg, M. (2008). When ignorance is not bliss: How distressing uncertainty drives the search of negative information. Journal of Economic Psychology, 29, 643–653; Shani, Y., &; Zeelenberg, M. (2007). When and why do we want to know? How experienced regret promotes post-decision information search. Journal of Behavioral Decision Making, 20, 207–222]. Previous research suggests that adopting high- or low-level construals of a situation can increase or decrease the affective value of experiences [Metcalfe, J., &; Mischel, W. (1999). A hot/cool-system analysis of delay of gratification: Dynamics of willpower. Psychological Review, 106, 3–19, Mischel, W., Ayduk, O., &; Mendoza-Denton, R. (2003). Sustaining delay of gratification over time: A hot–cool systems perspective. In G. Loewenstein &; D. Read (Eds.), Time and decision: Economic and psychological perspectives on intertemporal choice (pp. 175–200). New York, NY: Russell Sage Foundation; Trope, Y., Gervey, B., &; Bolger, N. (2003). The role of perceived control in overcoming defensive self-evaluation. Journal of Experimental Social Psychology, 39, 407–419]. We propose that the need to know the potentially hurtful truths about one’s own decision increases when people adopt a low-level construal, but it decreases when people adopt a high-level construal. In five experiments, we manipulated construal levels and assessed the effects on information search and the underlying psychological process.     

Age-related neural activity during allocentric spatial memory

Age-related decline in allocentric (viewer-independent) spatial memory is seen across species. We employed a virtual reality analogue of the Morris Water Maze to study the effect of healthy ageing on neural activity during allocentric spatial memory using functional magnetic resonance imaging. Voxel-based morphometry was used to ascertain hippocampal volumetric integrity. A widespread neural network comprising frontal, parietal, occipital, thalamic, and cerebellar regions was activated in young and older adults, but only young adults significantly activated bilateral hippocampus and left parahippocampus, as well as right frontal pole and dorso-lateral prefrontal cortex (DLPFC) during encoding and right DLPC during retrieval. Hippocampal grey matter volume was unchanged in older adults; however, prefrontal and parahippocampal functional attenuation was accompanied by volumetric reduction. We conclude that the decline in allocentric spatial memory with age is associated with attenuated hippocampal function, as well as compromised function and structure of prefrontal and parahippocampal regions.     

Dealing with missed opportunities: Action vs. state orientation moderates inaction inertia

Inaction inertia refers to the effect that missing a more attractive opportunity decreases the likelihood to act on an attractive current opportunity in the same domain. We studied the influence of how people cope with negative decision outcomes (i.e., action vs. state orientation) on this inaction inertia effect. Experiment 1 used an experimental induction of action vs. state orientation and confirmed our prediction that state oriented people showed more inaction inertia than action oriented people. Experiment 2 replicated these results with a measure of chronic action orientation and showed a mediating effect of valuation of the current opportunity. Experiment 3 showed that temporal segregation of the current from the missed opportunity decreased inaction inertia effects for state oriented, but not for action oriented people. We discuss the implications of these results for the inaction inertia and action vs. state orientation literatures.     

ALTERING THE NEAR‐MISS EFFECT IN SLOT MACHINE GAMBLERS

This study investigated the potential for recreational gamblers to respond as if certain types of losing slot machine outcomes were actually closer to a win than others (termed the near‐miss effect). Exposure to conditional discrimination training and testing disrupted this effect for 10 of the 16 participants. These 10 participants demonstrated high percentages of conditional discrimination testing performance, and the remaining 6 participants failed the discrimination tests. The implications for a verbally based behavioral explanation of gambling are presented.     

CREATING SINGLE‐SUBJECT DESIGN GRAPHS IN MICROSOFT EXCEL™ 2007

Over 10 years have passed since the publication of Carr and Burkholder's (1998) technical article on how to construct single‐subject graphs using Microsoft Excel. Over the course of the past decade, the Excel program has undergone a series of revisions that make the Carr and Burkholder paper somewhat difficult to follow with newer versions. The present article provides task analyses for constructing various types of commonly used single‐subject design graphs in Microsoft Excel 2007. The task analyses were evaluated using a between‐subjects design that compared the graphing skills of 22 behavior‐analytic graduate students using Excel 2007 and either the Carr and Burkholder or newly developed task analyses. Results indicate that the new task analyses yielded more accurate and faster graph construction than the Carr and Burkholder instructions.     

A Quasi-Experimental Analysis of the Association Between Family Income and Offspring Conduct Problems

The study presents a quasi-experimental analysis of data on 9,194 offspring (ages 4–11 years old) of women from a nationally representative U.S. sample of households to test the causal hypotheses about the association between family income and childhood conduct problems (CPs). Comparison of unrelated individuals in the sample indicated a robust inverse association, with the relation being larger at higher levels of income and for male offspring, even when statistical covariates were included to account for measured confounds that distinguish different families. Offspring also were compared to their siblings and cousins who were exposed to different levels of family income in childhood to rule out unmeasured environmental and genetic factors confounded with family income as explanations for the association. In these within-family analyses, boys exposed to lower family income still exhibited significantly higher levels of CPs. When considered in the context of previous studies using different designs, these results support the inference that family income influences CPs, particularly in males, through causal environmental processes specifically related to earnings within the nuclear family. This research was supported by grant R01-MH070025 to Benjamin B. Lahey. The research was approved by the Institutional Review Board at Indiana University. Resubmitted to the Journal of Abnormal Child Psychology on April 21, 2008 and October 20, 2008.     

A Theory of Regret Regulation 1.0

We propose a theory of regret regulation that distinguishes regret from related emotions, specifies the conditions under which regret is felt, the aspects of the decision that are regretted, and the behavioral implications. The theory incorporates hitherto scattered findings and ideas from psychology, economics, marketing, and related disciplines. By identifying strategies that consumers may employ to regulate anticipated and experienced regret, the theory identifies gaps in our current knowledge and thereby outlines opportunities for future research.     

Predicting group-level outcome variables from variables measured at the individual level: a latent variable multilevel model

In multilevel modeling, one often distinguishes between macro-micro and micro-macro situations. In a macro-micro multilevel situation, a dependent variable measured at the lower level is predicted or explained by variables measured at that lower or a higher level. In a micro-macro multilevel situation, a dependent variable defined at the higher group level is predicted or explained on the basis of independent variables measured at the lower individual level. Up until now, multilevel methodology has mainly focused on macro-micro multilevel situations. In this article, a latent variable model is proposed for analyzing data from micro-macro situations. It is shown that regression analyses carried out at the aggregated level result in biased parameter estimates. A method that uses the best linear unbiased predictors of the group means is shown to yield unbiased estimates of the parameters.