The role of appraisal in emotion

status: publishe

Sampling with probabilities proportional to the variable of interest

To estimate the mean sojourn time, a sample of Tilburg fair visitors was asked for the duration of their stay on the fair grounds. The longer a visitor's sojourn, the larger his/her probability of being interviewed will be; therefore, longer sojourn times will be overrepresented in the sample. As a consequence, the arithmetic sample mean is not a suitable estimator. The paper places this problem against a theoretical background. As a better estimator the harmonic mean of the observed sojourn times is presented. In addition, a variance estimator is given. The properties of these estimators are difficult to derive analytically. Instead, their behaviour is studied in a number of examples.Probability;Estimation;Sampling;statistics

Resistivity scaling and electron relaxation times in metallic nanowires

We study the resistivity scaling in nanometer-sized metallic wires due to surface roughness and grain-boundaries, currently the main cause of electron scattering in nanoscaled interconnects. The resistivity has been obtained with the Boltzmann transport equation, adopting the relaxation time approximation (RTA) of the distribution function and the effective mass approximation for the conducting electrons. The relaxation times are calculated exactly, using Fermi's golden rule, resulting in a correct relaxation time for every sub-band state contributing to the transport. In general, the relaxation time strongly depends on the sub-band state, something that remained unclear with the methods of previous work. The resistivity scaling is obtained for different roughness and grain-boundary properties, showing large differences in scaling behavior and relaxation times. Our model clearly indicates that the resistivity is dominated by grain-boundary scattering, easily surpassing the surface roughness contribution by a factor of 10.Comment: 19 pages, 5 figure

Desire, Familiarity, and Engagement in Polyamory: Results From a National Sample of Single Adults in the United States

Coupledom and notions of intimacy and family formation with one committed partner are hallmarks of family and relationship science. Recent national surveys in the United States and Canada have found that consensually non-monogamous relationships are common, though prevalence of specific types of consensual non-monogamy are unknown. The present research draws on a United States Census based quota sample of single adults (N = 3,438) to estimate the prevalence of desire for, familiarity with, and engagement in polyamory—a distinct type of consensually non-monogamous relationship where people typically engage in romantic love and sexual intimacy with multiple partners. Results show that 1 out of 6 people (16.8%) desire to engage in polyamory, and 1 out of 9 people (10.7%) have engaged in polyamory at some point during their life. Approximately 1 out of 15 people (6.5%) reported that they knew someone who has been or is currently engaged in polyamory. Among participants who were not personally interested in polyamory, 1 out of 7 (14.2%) indicated that they respect people who engage in polyamory. Few sociodemographic correlates emerged; no differences in prevalence were found based on political affiliation, income, religion, geographic region, or race/ethnicity. Sexual minorities, men, and younger adults reported greater desire to engage in polyamory (compared to heterosexuals, women, and older adults, respectively). Men and people with lower education backgrounds were more likely to have previously engaged in polyamory (compared to women and people with higher education backgrounds, respectively). Given that emotional and sexual intimacy is an important part of most people’s lives, understanding the varied ways in which people navigate their intimate lives is critical for the fields of relationship, sexuality, and family science

Traditional Sexual Script and Double Standard Adherence: Predictors of Heterosexually Identified Women’s and Men’s Previous Engagement in Consensual Non-Monogamy

With respect to consensually non-monogamous (CNM) relationships (e.g., open relationships, polyamory), a consistent gender difference emerges: heterosexual men report greater desire and engagement in CNM than heterosexual women (Haupert et al., 2017; Moors et al., 2015). This gender difference raises the question: Why do women and men differ in their CNM behaviors? In the present study, we suggest that this may be due to women’s stronger adherence to the traditional sexual script, which is rooted in gendered dating norms, punishes women who engage in non-committed sexual behaviors, and glorifies monogamy (Fritz & Kitzinger, 2001). We examined how heterosexual men’s and women’s adherence to the traditional sexual script affects their previous engagement in CNM using data from a nationally representative sample of U.S. adults (n = 3,438). Participants completed three measures relevant to this study: 1) endorsement of the sexual script (attitudes towards sex and love; (S. S. Hendrick & Hendrick, 2002), 2) level of permissiveness towards casual sex; (C. Hendrick, Hendrick, & Reich, 2006), and 3) previous engagement in CNM.Binary logistic regressions revealed that gender moderated the relationship between endorsement of traditional sexual scripts as well as attitudes toward casual sex for previous engagement in CNM. That is, heterosexual women were more likely than heterosexual men to endorsement the sexual script and hold less positive attitudes toward casual sex which, in turn predicted a lower likelihood of previously engaging in CNM, B = -0.31, p = .03 and B = -.49, p = .01. While one in five American adults have engaged in CNM at some point in their lives, these relationships continued to be stigmatized and understudied (Haupert et al., 2017). To our knowledge, this is the first study to examine why gender differences related to CNM exist, thus expanding the current research on CNM relationships in order to demystify relationships that challenge the monogamous ideal. It appears that traditional norms and disinterest play an important role in predicting women’s and men’s behavior related to CNM

Interaction and threshold effects of appraisal on componential patterns of emotion : a study using cross-cultural semantic data

Studies that investigated the relation between appraisal and emotion have largely focused on the linear effect of appraisal criteria on subjective feelings (e.g., the effect of appraised goal obstruction on anger). Emotional responding can be extended to include more than just feelings, however. Componential definitions of emotion also add motivation, physiology, and expression. Moreover, a linear model is not compatible with the idea held by many appraisal theorists that appraisal criteria interact to produce emotional responding. In the present study, we modeled adaptive nonlinear interaction effects of appraisal criteria on motivation, expression, and physiology simultaneously. We applied a combination of principal component analysis for data reduction and multivariate adaptive regression splines (MARS) for automatic interaction identification. Data were obtained from a large-scale cross-cultural study on emotion concepts conducted in 27 countries, which represented semantic profiles of component information in 24 common emotion words. Results of modeling indicated that (a) appraisal of relevance, familiarity, goal compatibility, coping potential, and suddenness showed main effects on component responses; (b) appraisals of agency and norm compatibility uniquely showed interaction effects on component responses; (c) interaction effects explained significant variance only in some component responses but not all; and (d) the emotion patterns simulated by the fitted MARS model could be clustered according to qualitative emotion categories

Effecten van landgebruiksveranderingen op gemiddelde en extreme afvoer in het Rijnstroomgebied

Recentelijk heeft veel onderzoek plaatsgevonden om de invloed van klimaatverandering te kwantificeren. Dit kan op verschillende manieren gebeuren, bijvoorbeeld kan er op basis van gemeten data een extreme-waardenverdeling worden geëxtrapoleerd. Een dergelijke aanpak heeft als nadeel dat de aanpak gebaseerd is op statistische kenmerken van het huidige klimaat, terwijl die juist waarschijnlijk veranderen. Een andere mogelijkheid is daarom het doorberekenen van klimaatscenario's zoals die worden gegenereerd met klimaatmodellen. Het landoppervlaktemodel dat in deze studie is gebruikt, namelijk het Variable Infiltration Capacity (VIC) model maakt gebruik van statistische parameters voor de invloed van verzadigde bodems. Het gebied betreft de substroomgebieden van Ruhr, Lahn, Mosel, Main en Necka