Ability emotional intelligence was a stronger predictor of performance in humanities than science; mechanisms under the EI/performance link can be regulating academic emotions & building social relationships at school

MacCann, C., Jiang, Y., Brown, L. E. R., Double, K. S., Bucich, M., & Minbashian, A. (2020). Emotional intelligence predicts academic performance: A meta-analysis. Psychological Bulletin, 146(2), 150-186, Jan 2021. http://dx.doi.org/10.1037/bul0000219

Abstract: Schools and universities devote considerable time and resources to developing students’ social and emotional skills, such as emotional intelligence (EI). The goals of such programs are partly for personal development but partly to increase academic performance. The current meta-analysis examines the degree to which student EI is associated with academic performance. We found an overall effect of ρ = .20 using robust variance estimation (N = 42,529, k = 1,246 from 158 citations). The association is significantly stronger for ability EI (ρ = .24, k = 50) compared with self-rated (ρ = .12, k = 33) or mixed EI (ρ = .19, k = 90). Ability, self-rated, and mixed EI explained an additional 1.7%, 0.7%, and 2.3% of the variance, respectively, after controlling for intelligence and big five personality. Understanding and management branches of ability EI explained an additional 3.9% and 3.6%, respectively. Relative importance analysis suggests that EI is the third most important predictor for all three streams, after intelligence and conscientiousness. Moderators of the effect differed across the three EI streams. Ability EI was a stronger predictor of performance in humanities than science. Self-rated EI was a stronger predictor of grades than standardized test scores. We propose that three mechanisms underlie the EI/academic performance link: (a) regulating academic emotions, (b) building social relationships at school, and (c) academic content overlap with EI. Different streams of EI may affect performance through different mechanisms. We note some limitations, including the lack of evidence for a causal direction.

Public Significance Statement: This meta-analysis shows that emotional intelligence has a small to moderate association with academic performance, such that students with higher emotional intelligence tend to gain higher grades and achievement test scores. The association is stronger for skill-based emotional intelligence tasks than rating scales of emotional intelligence. It is strongest for skill-based tasks measuring understanding emotions and managing emotions.

Keywords: academic performance, emotional intelligence, intelligence, meta-analysis, personality

Discussion

Results from these meta-analyses demonstrate that EI shows a small to moderate relationship with academic performance, of similar effect size to well-known noncognitive predictors (e.g., ρ = .20 for EI vs. ρ = .22 for conscientiousness, based on the current meta-analysis and Poropat [2009]). Ability EI was a significantly stronger predictor than self-report or mixed EI, as hypothesized. Within ability EI, understanding and management branches had a stronger effect than perception or facilitation branches. There is no evidence for selective publication of larger effects, for stronger effects in younger students, nor that effects differ depending on the proportion of ethnic minority students in the sample. For the other moderators, effects were mixed or limited. There is limited evidence that the effect is stronger: (a) for less female-dominated samples (this effect was significant for total EI, but not for any of the three streams), (b) for grades than standardized test scores (this was significant for total EI and Stream 2 only), and (c) for humanities versus mathematics/science performance (this was significant for ability EI only).

There was evidence of incremental validity of EI over intelligence and personality, but this was largely restricted to mixed EI (which explained an additional 2.3% of the variance) and the understanding and management branches of ability EI (which explained an additional 3.9% and 3.6% of the variance respectively). That is, self-rated EI, total ability EI, and the lower two branches of ability EI (emotion perception and facilitation) provide little to no explanatory power for academic performance over intelligence and personality. These differences across the three streams suggest that the underlying mechanisms accounting for the EI/performance relationship may differ for ability EI, self-rated EI, and mixed EI.

Why Does EI Predict Academic Performance? Insights Based on Moderators

In our introduction, we suggested there were three reasons why EI may predict academic performance. First, students with higher EI may be more able to regulate the negative emotions such as anxiety, boredom, and disappointment involved in academic performance. If this is true, emotion management would be responsible for the effects. Second, students with higher EI may be better able to manage the social world around them, forming better relationships with teachers, peers, and family. If this was the case, emotion management would again be responsible for the effect, and the effect would be stronger for grades than for standardized tests. Third, EI competencies may overlap with the academic competencies required for humanities subjects like history and language arts (e.g., understanding human motivations and emotions). In this case (a) understanding—the knowledge base of EI—would show the strongest effect and (b) the effect would be bigger for humanities than sciences. Based on the significant moderations, there is some support for each of these effects, with slightly different results for different streams of EI. We discuss the significance moderations below, with respect to these three proposed mechanisms.

Evidence for Mechanism 1: Is Emotion Management the Key Ingredient in EI?

Joseph and Newman (2010) proposed a “key conceptual role” of emotion management for predicting job performance (p. 69), proposing emotion management as the proximal predictor of performance. The facet-level moderation for ability EI provides partial support for this assumption, finding that management and understanding are jointly the strongest predictors of academic performance. Both these branches (management and understanding) showed significantly stronger effects than the two other branches. The effect was larger for understanding than management, but not significantly so (ρ = .35 vs. ρ = .26) and was equal after accounting for the effects of intelligence and personality (partial ρ = .22 in both cases). That is, both emotion understanding and emotion management are active ingredients in the prediction of academic performance. We believe this is consistent with an interpretation that EI affects academic performance through the regulation of academic emotions, but also due to the relevance of emotion content knowledge for academic performance in the humanities.

The critical role of emotion understanding for academic performance has implications for comparing ability EI with self-rated EI. For self-rated EI, many of the effects in our meta-analysis used instruments that did not include emotion understanding content (because they were based on an older definition of EI that did not have emotion understanding in the definition). Specifically, 50% of the Stream 2 citations used the Schutte Self-Report Scale, Trait Meta-Mood Scale, or the Wong-Law Emotional Intelligence Scale, which do not include a subscale assessing emotion understanding. Given that ability EI shows the strongest relationship for emotion understanding, the difference in effect size between ability EI and self-rated EI measures may in fact represent a difference in content (i.e., prediction is greater for tests that include emotion understanding content) rather than a difference in method (ability scales vs. rating-scales). Many of the more recent self-rated EI tests do include an emotion understanding component (e.g., Anguiano-Carrasco, MacCann, Geiger, Seybert, & Roberts, 2015; Brackett et al., 2006).

Evidence for Mechanism 2: Are EI Competencies Required for Academic Content?

Moderation analyses largely support the idea that performance on academic tasks require some EI competencies. First, academic performance related significantly more strongly to ability EI than to the other two streams. This finding differs from meta-analyses predicting job performance, where ability EI is consistently the weakest predictor of the three streams (Joseph & Newman, 2010; Miao et al., 2017; O’Boyle et al., 2011). This difference may relate to assessment methods. Academic performance is mainly assessed with objective tasks (i.e., evaluations of a product, such as an essay, lab report, speech, worksheet or test), whereas job performance is most often assessed via supervisor ratings. Similarly, ability EI is assessed with objective tasks and self-rated and mixed EI are assessed with rating scales. We would expect stronger predictor-criterion relationships when predictor and criterion have the same method. As such, a higher relationship for ability EI (as compared to the other streams) may represent method bias rather than content overlap of academic and emotional knowledge.

However, ability EI (but not self-rated or mixed EI) relates more strongly to performance in humanities than sciences. This is one of the larger differences we found, where the effect was nearly twice as large for humanities as sciences (ρ = .38 vs. .21). Objective measurement of performance is similar across humanities and sciences. The academic processes (social context and the student’s emotions and emotion regulation in the classroom) are also similar for different subdisciplines. Although subdisciplines differ in the degree of social interaction involved, the degree of social interaction does not align with the humanities versus science categorization (e.g., science frequently involves lab partners or group work, whereas this is rare for mathematics). As such, we interpret this difference in subject areas to be largely attributable to a difference in academic content, and specifically the relevance of emotion knowledge to subjects requiring an understanding of people and their interactions, motivations, and emotions (i.e., literature, history, geography, drama and other humanities subjects). The first standard of The Standards for the English Language Arts (1996), as put forward by the National Council of Teachers of English (1996) states that the purpose of reading texts is to “build an understanding of . . . themselves and the cultures of the United States and the world” and the second standard states that the purpose is “to build an understanding of the many dimensions (e.g., philosophical, ethical, aesthetic) of human experience” (p. 19). That is, broad statements of content for achievement in language arts inherently involve an understanding of oneself and of others in terms of the intangible nature of being human—which we would argue is essentially emotions and social interactions. That is, understanding human emotions and the social and situational causes appear to be an underlying component of achievement in language arts.

In addition, the fact that the emotion understanding showed the strongest relationship to academic performance (as compared to the other four branches) supports the interpretation mentioned above, where understanding emotional content is a key part of the content of language arts education. It is possible to view emotion understanding as a kind of domain-specific knowledge, where the content domain is emotions. Content knowledge of emotion words, as well as the causes and consequences of emotions, appear highly relevant for understanding character motivations in literature as well as other academic subject matter relating to people and how they shape societies, countries and history (i.e., history, geography, psychology, sociology).

One possible interpretation is that the ability EI/academic performance association may be due to a third variable—reading comprehension. Because ability EI tests involve interpreting written text, reading comprehension ability may constitute construct-irrelevant variance on such tests (AERA, APA, & NCME, 2014) that may partially explain the relationship between EI and academic performance. This particularly affects understanding and management tests, which involve more and more complex text (e.g., most management tests involve a paragraph of text in each item stem). However, the fact that emotion understanding and management predicted academic performance over-and-above the effect of intelligence suggests that this confound does not account for the entirety of the relationship between ability EI and academic performance. Nevertheless, the relationship was greatly reduced, particularly for emotion understanding. Because the partial correlations remained of small to moderate size after accounting for intelligence, our interpretation is that the bulk of the content overlap represents more than a reading comprehension method effect, particularly for emotion management. Taken together, results support the suggested mechanism whereby EI predicts academic performance because of the emotional content required in academic subjects.

Evidence for Mechanism 3: Does EI Affect Academic Performance Through Interpersonal Processes?

If EI exerts an influence on academic performance via the ability to develop social relationships in the educational context, then EI should have a stronger effect on grades than standardized tests (as the social networking and relationship building with other students and teachers should have a stronger effect on grades than on standardized tests). This difference was significant only for self-rated EI and the three streams combined (not for ability or mixed EI). Self-rated EI did not relate to standardized test scores at all (ρ = −.03). In contrast, ability EI and mixed EI related to both grades and standardized tests. This suggests that academic performance relates to self-rated EI through relationship building only. In contrast, academic performance relates to ability EI and mixed EI through both relationship building and mechanisms related to regulating academic emotions.

For all three streams of EI, there is evidence that higher EI relates to building social relationships in a school environment. Ability EI relates to peer-nominations of reciprocal friendship in college students and to higher-quality of social interactions with others (Lopes et al., 2004; Lopes, Salovey, Coté, Beers, & Petty, 2005). Self-rated EI predicts greater social support in both high school and university students (Ciarrochi, Chan, & Bajgar, 2001; Kong, Zhao, & You, 2012). Mixed EI is associated with peer reports of cooperative behavior (Mavroveli, Petrides, Rieffe, & Bakker, 2007; Petrides, Sangareau, Furnham, & Frederickson, 2006). There is also evidence that both ability EI and mixed EI relate to using more effective strategies to regulate negative emotions (Peña-Sarrionandia, Mikolajczak, & Gross, 2015).

Taken together with these findings, we propose that differences between the three streams of EI relate to the number of mechanisms that underlie the EI/performance relationship. Specifically, (a) self-rated EI predicts academic performance only through a relationship building pathway (students with higher emotional self-efficacy can build better relationships with teachers and peers), (b) mixed EI predicts academic performance through both relationship building and the regulation of academic emotions, and (c) ability EI predicts academic performance through relationship building, regulation of academic emotions, and also through emotion content knowledge requirements of some academic areas. This explanation accounts for the relatively greater prediction of academic performance by ability EI than mixed EI than self-rated EI and is consistent with the pattern of moderators we found.

The Relative Importance of EI to Academic Achievement

One of the critical drivers of EI’s early popularity was the idea that emotional skills are more important than intelligence in predicting life success. Indeed, the title of Daniel Goleman’s first book, the catalyst for EI’s snowballing popularity, was Emotional intelligence: Why It Can Matter More Than IQ. The 1995 cover story of TIME magazine made similar claims, stating that “emotions, not IQ, may be the true measure of human intelligence” (Gibbs, 1995, p. 60). These early claims were generally not borne out by research on job performance. Although EI predicts better job performance (Joseph & Newman, 2010; O’Boyle et al., 2011), a critical mass of research indicates that intelligence is a much stronger predictor and is in fact the single best predictor of job performance (Ree & Earles, 1992; Salgado et al., 2003; Schmidt & Hunter, 1998). We found largely similar results for academic performance. Although EI predicts academic performance, intelligence was a much stronger predictor, with relative importance analysis indicating that cognitive ability was the single most important predictor of academic performance.

Although the popular press hype about EI was not substantiated, we nevertheless believe that demonstrating a small to moderate effect size is informative for research and practice. Moreover, some of the recent changes occurring in education and assessment practices may increase the importance of noncognitive qualities, including EI.

The first such change to modern assessment and learning practice is the increasing use of group activities, including collaborative group assessments (Ahles & Bosworth, 2004). Managing the social relationships and interpersonal conflicts of the group may thus become more and more reflected in students’ end of semester grades. A second change to education practices is the extent to which graduate attributes (also referred to as 21st century skills or noncognitive constructs) are emphasized by schools and universities (e.g., Clarke, Double, & MacCann, 2017). Graduate attributes often include social-emotional skills such as leadership, communication, teamwork, and intercultural competencies, with some institutions explicitly including EI as a graduate attribute. For example, Australia uses Goleman’s model of EI as the basis for its national K–10 curriculum of personal and social competencies that students should be developing as they progress through primary and secondary education (ACARA, 2017). Schools and universities are increasingly attempting to embed these graduate qualities within the content that is taught and assessed. As such, high grades might increasingly reflect skill development in these areas.

A third change to the classroom is the extent to which computers and technology are now an integral part of education. In tertiary education, there are a large and increasing number of online only courses or courses that have at least some online-only content (most famously, the Massive Open Online Courses [MOOCs]). There are two main differences between traditional face-to-face learning and online learning. First, in a traditional face-to-face university course, the schedule of learning is set by the schedule of the face-to-face lectures. In contrast, an online only course requires the learner to manage their own schedule of accessing online content, such that students with poor time management will not succeed (MacCann, Fogarty, & Roberts, 2012). Second, in a traditional face-to-face course, communication with teachers and other students occurs through in-person conversation, with access to multiple channels of information (e.g., facial and vocal expression, body language, and real-time clarification of misunderstandings). Online communication is more often based on text (e.g., discussion boards, emails, or computer chat). Most neurotypical people find it more difficult to detect another person’s emotions and social needs from text rather than face-to-face contact. As such, greater emotional skills are required to build relationships with the instructor or other students in an online environment. Thus, social and emotional skills (both self-regulation and interpersonal skills) may become increasingly important as tertiary education involves a greater amount of online content.

Practical Implications

One of the major findings of this meta-analysis is that different parts of EI are differentially important for academic performance. Any applied uses of EI in education seem limited to the three parts of EI with nontrivial incremental validity: mixed EI, emotion management ability, and emotion understanding ability. There are three broad applications that might be considered: (a) identifying students at risk for failure, attrition, or underperformance; (b) selection decisions for high-stakes educational opportunities; and (c) policy decisions about the relative cost versus benefit of implementing SEL or EI training programs in schools.

The first two applications (identifying at risk students, and high-stakes selection) require careful consideration of response distortion issues. Particularly in a high-stakes selection context, test-takers are motivated to gain high scores and will distort their responses on rating scales to ‘fake high’ (Birkeland, Manson, Kisamore, Brannick, & Smith, 2006; Viswesvaran & Ones, 1999). Faking is a consequential issue with personality scales, which use self-report or observer-report ratings that test takers can fake. Observer-reports do not necessarily solve this problem, as the observers are often not impartial, but may be school staff with a vested interest in their students gaining entrance to prestigious colleges or programs. Faking is a problem for rating-scale measures of EI, but not for ability scales (Day & Carroll, 2008; Grubb & McDaniel, 2007; Tett, Freund, Christiansen, Fox, & Coaster, 2012). The current meta-analysis is the first to demonstrate that the relationship between EI and academic performance holds for ability-based tests as well as rating scales (in fact, the relationship is actually higher for ability-based EI tests as compared to rating scales). As such, we demonstrate a pathway that might provide modest increments in high-stakes education selection decisions—using ability-based EI assessments of understanding and managing emotions (based on current results, other parts of ability EI are not important). Ability-based EI tests are already used for selection into medical schools in several countries, and evidence supports their use for selecting better candidates (Libbrecht, Lievens, Carette, & Côté, 2014; Lievens & Sackett, 2006). However, such tests are rarely used in other broader education selection contexts. If EI is considered as a selection procedure (perhaps as an add-on to intelligence and personality assessment), we suggest that ability tests of understanding and managing emotions be preferred over rating scales (due to response distortion) or tests of facilitation or management (due to low incremental prediction over intelligence and personality).

A national and international focus on standardized tests to measure academic performance and milestones has lead schools, districts, states, and countries to focus on achievement in the narrow range of academic content that such tests focus on. Alongside this, classroom teachers face increasing challenges to their workload, including adapting the curriculum to individual students’ needs, the mainstreaming of students with special educational requirements, and adapting to rapidly changing curriculum and policy (Skaalvik & Skaalvik, 2007). Against this background, devoting resources to teaching children EI skills can be seen as taking teacher resources and classroom time away from more critical activities that will increase test scores and achievement. What our meta-analysis shows is that EI skills are in fact associated with higher academic performance. This implies that time spent teaching EI skills may not necessarily detract from student achievement, given that higher EI students also show higher achievement. Again, we highlight the different importance of the four EI abilities as a guide for where to focus skills training—a focus on perceiving emotions is likely to be less useful than a focus on understanding and managing emotions.

Our meta-analysis also has implications for the effects of the such training programs (or a focus on EI more generally) on the known achievement gaps between ethnic groups and between males and females. Although there is evidence that the Black-White achievement gap is slowly closing, differences in the achievement for minority students compared with White students remain substantial, at around 0.75 standard deviations for Black students and around 0.60 standard deviations for Hispanic students (Hansen, Mann Levesque, Quintero, & Valant, 2018). There is also increasing evidence that males are falling behind females in terms of the grades they receive and their participation in higher education (Fortin, Oreopoulos, & Phipps, 2015). Against this background, it is important to note that the effect of EI on academic performance does not appear to differ for minority students versus White students, and that gender differences are negligible and when significant favor males (who currently show lower achievement). These results imply, at the very least, that efforts to improve EI are unlikely to widen the achievement gaps.

The key role of emotion understanding and management is also important to consider in terms of EI training programs. Three recent meta-analyses on the effectiveness of EI training have reported significant increases in EI, with effect sizes of .45, .46, .51, and .61 (Hodzic, Scharfen, Ripoll, Holling, & Zenasni, 2018; Mattingly & Kraiger, 2019; Schutte, Malouff, & Thorsteinsson, 2013). Hodzic et al. found that programs based on the ability model were significantly more effective than those based on mixed models (g = .60 vs. .31), and that emotion understanding showed the largest increase of all the ability EI branches—significantly more than emotion facilitation (g = .69 vs. .42). That is, it seems that programs are effective for increasing ability EI, and particularly its emotion understanding facet. This is highly relevant for our own meta-analysis, where ability EI (and specifically emotion understanding) showed the highest association with academic performance. That is, EI training seems to produce the strongest increases in exactly those competencies that are most relevant for academic performance.

Although Hodzic et al. did not distinguish between EI training programs for workplace applications and EI training programs for schools and universities, several studies conducted in schools and universities report similar findings regarding the largest increases for emotion understanding. For example, Pool and Qualter (2012) conducted a training study in university students and found the largest increase in ability EI was for emotion understanding (and the second-largest for emotion management). Moreover, evidence from the RULER Feeling Words curriculum (an EI development program for secondary school students) shows that EI training programs increase grades as well as social and emotional competencies. Specifically, students completing the RULER showed improved school grades as well as improved teacher ratings of social and emotional competencies compared to control groups (Brackett, Rivers, Reyes, & Salovey, 2012). In fact, the relative increase in school grades was a larger effect than the relative increase in social and emotional competencies. That is, EI training programs are likely to increase academic performance as well as social and emotional outcomes, such that education decision-makers and policymakers are not faced with a decision of whether to invest in social/emotional wellbeing at the expense of student achievement—evidence suggests that these programs likely do both. This is a critical piece of information for schools deciding where to best allocate their resources.

Limitations

Our results demonstrated only that EI and academic performance are significantly associated, but not that higher EI causes higher achievement. Only three of the citations reported a longitudinal design, such that the empirical evidence for EI causing later achievement is very weak (Costa & Faria, 2015; Qualter et al., 2012; Stewart & Chisholm, 2012). This association could occur because (a) higher EI causes increased academic performance, (b) higher achievement causes increased EI, or (c) there are one or more variables that influence both EI and academic performance. In the introduction, we outlined the reasons we believe theoretically that EI could cause later achievement. However, there are also feasible pathways by which greater academic performance could cause higher EI. Greater academic performance could feasibly result in increased self-esteem, greater opportunities for social and emotional development, and higher expectations for social skills and emotion regulation. High academic performance may act as a gateway for gifted and talented programs, streaming into enrichment activities, and a culture of high expectations from teachers, parents, and communities that permeate social and emotional behaviors as well as academic ones via the halo effect (Nisbett & Wilson, 1977). Conversely, low academic performance may act as a barrier to opportunities to develop social and emotional skills through loss of privileges for academic failures (e.g., losing recess playtime or evening socialization to complete work or denied extracurricular activity participation because of course failure), the development of strong negative emotions surrounding school and schoolwork, and the correspondingly low expectations for social and emotional behaviors. It seems likely that the reality is complex, with bidirectional effects of academic and emotional development, particularly in the earlier years of school.

One further limitation of the current article concerns the use of the meta-analytic correlation matrix (used to test Hypotheses 10 and 11). This was composed of estimates taken from different journal articles from different research teams, and therefore did not use the same methods for estimation nor the same samples. Although we used RVE in the current study, all other sources for effect sizes were obtained by aggregating multiple effect sizes from the same study. All studies except for Poropat (2009) corrected for unreliability as well as range restriction. The personality/academic performance estimation was not corrected for range restriction of measurement in either the predictor or criterion (Poropat, 2009). The possible effect of this would be to underestimate the prediction and relative importance of personality traits such as conscientiousness.

Future Research and Recommendations

One obvious future direction for further research is to test our three proposed mechanisms of the EI/performance relationship: (a) social relationship building, (b) regulation of academic emotions, and (c) content overlap between EI and academic subject matter. For point a, an analysis of content overlap between the competencies of EI and the different processes required for success in different disciplines could be undertaken by a panel of educators. Longitudinal research involving all three streams could test whether all three mediate ability EI, (a) and (b) mediate mixed EI, and (a) along mediates self-rated EI, as we proposed. As we mention above, there is a paucity of long-term longitudinal research on EI and academic performance. As such, examining mediators of the link as well as conducing lagged panel models to tease apart the direction of causation is important.

Although there is ample evidence that training EI works (e.g., Hodzic et al., 2018; Mattingly & Kraiger, 2019; Schutte et al., 2013), we are not aware of experimental studies on EI training that examine the effects of training different branches of EI. Such designs would isolate which facets of EI are most relevant for the improvement of which types of outcomes and would also provide stronger evidence for the causal direction from EI to academic performance.

US national survey of heterosexual & gay men: Sexual Practices and Satisfaction in Romantic Relationships

Sexual Practices and Satisfaction among Gay and Heterosexual Men in Romantic Relationships: A Comparison Using Coarsened Exact Matching in a U.S. National Sample. David Frederick  et al. The Journal of Sex Research, Jan 11 2021. https://www.tandfonline.com/doi/abs/10.1080/00224499.2020.1861424

Abstract: Gay men are underrepresented in research on sexual satisfaction. We examined sexual satisfaction and over 50 sexual practices in an online U.S. national survey of men in relationships. Coarsened exact matching created comparable samples of heterosexual (n = 3527) and gay (n = 452) men on six demographic factors, including relationship length. Results identified many similarities between the groups, including sexual frequency, orgasm frequency, duration of sex, and sexual satisfaction. The majority of heterosexual and gay men expressed physical or emotional affection during their last sexual encounter, reporting that they or their partner said “I love you” (66%; 57%) and engaged in deep kissing (69%; 75%) or gentle kissing (82%; 72%). Heterosexual men were less likely than gay men to usually-always receive (27%; 61%) or give (37%; 68%) oral sex when intimate in the past month; were less likely to view pornography with their partner (35%; 61%); but were more likely to give their partner massages in the past year to improve their sex lives (71%; 58%). Number of sexual communication behaviors was a strong predictor of sexual satisfaction, particularly for gay men (β =.36). These findings enhance our understanding of heterosexual and gay men’s sexual lives.

Popular version by Justin Lehmiller, Jun 28 2021: https://www.lehmiller.com/blog/2021/6/28/how-similar-or-different-are-the-sex-lives-of-gay-and-straight-men

The endowment effect may largely reflect “adaptively rational” behavior on the part of both buyers & sellers, given their beliefs about relevant markets, rather than any ownership-induced bias or change in intrinsic preferences

Achtypi, E., Ashby, N. J. S., Brown, G. D. A., Walasek, L., & Yechiam, E. (2021). The endowment effect and beliefs about the market. Decision, 8(1), 16-35. http://dx.doi.org/10.1037/dec0000143

Rolf Degen's take: https://twitter.com/DegenRolf/status/1348992873912479744

Abstract: The endowment effect occurs when people assign a higher value to an item they own than to the same item when they do not own it, and this effect is often taken to reflect an ownership-induced change in the intrinsic value people assign to the object. However recent evidence shows that valuations made by buyers and sellers are influenced by market prices provided for the individual products, suggesting a role for beliefs about the markets. Here we elicit individuals’ beliefs about whole distributions of market prices, enabling us to quantify whether or not a given transaction constitutes a “good deal” and to demonstrate how an endowment effect may reflect such considerations. In a meta-analysis and three laboratory experiments, we show for the first time that ownership has no effect on beliefs about either: (a) the quality of the item or (b) the appropriate market price for the item. Instead, we show that sellers demand a price for the item that matches their beliefs about the item’s relative quality and the distribution of market prices in the market. Buyers, in contrast, offer less than what they believe the appropriate market price is. Thus, we argue that the endowment effect may largely reflect “adaptively rational” behavior on the part of both buyers and sellers (given their beliefs about relevant markets) rather than any ownership-induced bias or change in intrinsic preferences.

Keywords: endowment effect, valuation, ownership, market price, good deal

General Discussion

We explored the hypothesis that valuations of buyers and sellers may reflect their differing beliefs about the broader market of prices and products (Brown, 2005; Isoni, 2011; Weaver & Frederick, 2012). Specifically, we developed a novel quantification of deal goodness in terms of the rank-based difference between the “appropriate” price (generated by the quality matched process) and the WTA and WTP monetary valuations. In terms of this good-dealness consideration, the endowment effect emerges because, given they will typically lack any strong desire to possess the object, buyers are only willing to purchase a product if they get a very good deal (relatively low market price given products’ quality). Sellers valuations, on the other hand, should correspond closely to the expected market price for a given good. Indeed, we show that sellers are willing to accept prices that correspond to their beliefs about what the given product should cost in the broader market. Buyers do not differ significantly from sellers in their beliefs about the market but are willing to pay substantially less than they believe the product costs in the market.

In Experiment 1, using a distribution elicitation task, we set out to determine whether beliefs about the distributions of market prices for a given class of consumer products (here water bottles) differ as a function of ownership status. We found no evidence of such a bias (see also Experiment 3 in Walasek, Yu, & Lagnado, 2018). In addition, we demonstrated that while both buyers and sellers value the object at less than its market price, buyers have a strong tendency to provide WTP amounts that correspond to the lowest end of the market price distribution. In Experiment 2, we replicated these findings and additionally found that owners and nonowners do not differ in their estimates of the product’s quality (in terms of how its quality ranks among other similar products). Moreover, owners and nonowners produced similar estimates of the product’s actual market price. Using a wide range of consumer products, valuations of sellers in Experiment 3 were closer to the estimated market price of each good than valuations of buyers were.

Our results are comparable to the findings reported in studies of the endowment effect for risky and ambiguous gambles. Sellers, not buyers, tend to set the minimum selling price to be close to the actual objective worth of a risky asset (Yechiam, Abofol, & Pachur, 2017; Yechiam et al., 2017). Although in the present study we cannot make any statement about the ideal price of a consumer good for each person, our findings show that sellers’ valuations align with their perception of what the item should be worth as a product in the marketplace. Our results therefore extend previous efforts beyond the context of gambles.

Our study builds on and extends recent accounts suggesting that the endowment effect is at least in part driven by the considerations of what constitutes a good deal. This account differs from traditional explanations of the endowment effect in several key respects. Most importantly, unlike many accounts based on concepts such as loss aversion, our account does not assume ownership-induced changes in people’s valuations of the object if such valuation is defined in terms of underlying preferences (rather than, e.g., the profit that could possibly be made by selling it). In this respect, our account is similar to that of Isoni (2011). However, unlike Isoni, we do not need to assume “bad deal aversion” in that we do not require any asymmetry in hedonic impact of under- and overpaying. Of course, we do not discount the possibility that ownership status can influence people’s valuations via mechanisms such as asymmetric attention (Ashby, Walasek, & Glöckner, 2015; Carmon & Ariely, 2000) or psychological ownership (Walasek et al., 2015; Walasek et al., 2017).

It is important to note that our results do not provide direct causal evidence for the relation between perceptions of good dealness and valuations of owners and nonowners. Instead, our account is mostly descriptive—we illustrate how valuations of buyers and sellers map onto participants’ beliefs about the product and the broader context of the consumer market. By doing so, we can show patterns of valuations that fit well with recent theoretical and experimental developments in which the behavior of buyers and sellers is largely dictated by their consideration of how to secure (avoid) a good (bad) deal. Past work and our own results thus align with a simple pragmatic explanation of the endowment effect. When participants come to the lab and are offered a chance to purchase some consumer good, most people do not want it, even at a substantial discount (relative to its potential market value). Sellers on the other hand, value the product appropriately given on their knowledge of the market. If this account correctly captures people’s reasoning, there is no need to invoke any psychological biases, such as loss aversion, to explain the endowment effect. We do not provide direct evidence against loss aversion explanation of the endowment effect but rather offer an alternative explanation of the valuation gap. The conclusion of most researchers (i.e. that the endowment effect reflects loss aversion) is based on the assumption that participants’ valuations reveal their true underlying preferences, which are in turn assumed to be uncontaminated by strategic considerations or beliefs about the market. This assumption stands in contrast with the finding that even in an incentivized experiment, many buyers and sellers admit that their valuations were motivated by “seeking a good deal” or a consideration of a “reasonable or compromise price” and “selling cheaply to make sale likely” (for sellers, Brown, 2005). Further research is necessary to show how buyers and sellers might be differently influenced by their beliefs about the broader market. One potential extension of the present study would be to manipulate beliefs about the market. Using products that are less known among the participants, we would expect that valuations of sellers would be much more influenced than those of buyers by such a manipulation. The evidence presented by Weaver and Frederick (2012) is consistent with this prediction. Although our results do not disprove a role of loss aversion in the endowment effect, our alternative account suggests that the assumption of loss aversion is not necessary. We therefore suggest that explanations of the endowment effect in terms of loss aversion be discounted until and unless specific evidence for loss aversion is forthcoming. We argue that our account is parsimonious because it explains both the endowment effect and sellers’ greater sensitivity to observed market prices in terms of the difference between buyers’ and sellers’ beliefs about relevant markets without requiring the additional assumption of loss aversion (as postulated for instance by Weaver & Frederick, 2012).

In Experiments 2 and 3, we found that buyers and sellers did not differ in terms of how they rated the products on quality and benefit, respectively. These findings appear difficult to reconcile with the idea that endowment effect emerges, at least in part, due to the sense of emotional attachment that develops among owners (Shu & Peck, 2011; Walasek et al., 2015). Indeed, participants who own an object have been shown in other studies to rate an object more favorably than nonowners—a phenomenon known as the mere ownership effect (Beggan, 1992). One plausible explanation for our results is that our design did not provide owners with enough opportunity (or reason) to develop any meaningful sense of psychological ownership. Even in the case of Experiment 2, where owners had more contact with the product than nonowners, such a short duration of ownership could simply be insufficient to generate any special bond between an individual and a consumer good.

The idea that perception of good dealness is an important influence on stated buying and selling prices has wider implications concerning the use of incentive compatible procedure like the BDM (Becker et al., 1964) to elicit true valuations. If the amount that people are willing to sell or buy an item for reflects market considerations relating to appropriate prices for an item of that quality, rather than or as well as an individual’s desire to possess the object, the valuations obtained using BDM-like procedures cannot be interpreted as unbiased measures of underlying preferences. At the very least, our results suggest that sellers and buyers engage in the valuation task differently, with sellers intuitively considering broader context of the market in making their decisions.

Men report stronger attraction to femininity in women's faces when their testosterone levels are high

Men report stronger attraction to femininity in women's faces when their testosterone levels are high. Lisa L.M. Welling et al. Hormones and Behavior, Volume 54, Issue 5, November 2008, Pages 703-708. https://doi.org/10.1016/j.yhbeh.2008.07.012

Abstract: Many studies have shown that women's judgments of men's attractiveness are affected by changes in levels of sex hormones. However, no studies have tested for associations between changes in levels of sex hormones and men's judgments of women's attractiveness. To investigate this issue, we compared men's attractiveness judgments of feminized and masculinized women's and men's faces in test sessions where salivary testosterone was high and test sessions where salivary testosterone was relatively low. Men reported stronger attraction to femininity in women's faces in test sessions where salivary testosterone was high than in test sessions where salivary testosterone was low. This effect was found to be specific to judgments of opposite-sex faces. The strength of men's reported attraction to femininity in men's faces did not differ between high and low testosterone test sessions, suggesting that the effect of testosterone that we observed for judgments of women's faces was not due to a general response bias. Collectively, these findings suggest that changes in testosterone levels contribute to the strength of men's reported attraction to femininity in women's faces and complement previous findings showing that testosterone modulates men's interest in sexual stimuli.

Keywords: TestosteroneMate preferencesSexual dimorphismFacesAttractiveness

Rolf Degen summarizing... Apes and monkeys lack the neural wiring necessary to deliberately articulate sounds

Primate Vocal Communication and the Evolution of Speech. Julia Fischer. Current Directions in Psychological Science, January 11, 2021. https://doi.org/10.1177/0963721420979580

Rolf Degen's take: https://twitter.com/DegenRolf/status/1348902265638289408

Abstract: Studies of nonhuman primate communication are often motivated by the desire to shed light on the evolution of speech. In contrast to human speech, the vocal repertoires of nonhuman primates are evolutionarily highly conserved. Within species-specific constraints, calls may vary in relation to the internal state of the caller or social experience. Receivers can use signalers’ calls to predict upcoming events or behavioral dispositions. Yet nonhuman primates do not appear to express or comprehend communicative or informative intent. Signalers are sensitive to the relation between their own actions and receivers’ responses, and thus, signaling behavior can be conceived as goal directed. Receivers’ ability to integrate information from multiple sources renders the system flexible and powerful. Researchers who take a linguistic or biological perspective on nonhuman primate communication should be aware of the strengths and limitations of their approaches. Both benefit from a focus on the mechanisms that underpin signaling and responses to signals.

Keywords: intention, meaning, primate communication, social cognition, vocalizations

Botox for crow feet wrinkles: Smiles were rated as being happier, more felt, more spontaneous, & more intense than those posed by the same patients under the same conditions & instructions in post-treatment photographs

A Novel Test of the Duchenne Marker: Smiles After Botulinum Toxin Treatment for Crow’s Feet Wrinkles. Nancy Etcoff, Shannon Stock, Eva G. Krumhuber and Lawrence Ian Reed. Front. Psychol., January 12 2021. https://doi.org/10.3389/fpsyg.2020.612654

Abstract: Smiles that vary in muscular configuration also vary in how they are perceived. Previous research suggests that “Duchenne smiles,” indicated by the combined actions of the orbicularis oculi (cheek raiser) and the zygomaticus major muscles (lip corner puller), signal enjoyment. This research has compared perceptions of Duchenne smiles with non-Duchenne smiles among individuals voluntarily innervating or inhibiting the orbicularis oculi muscle. Here we used a novel set of highly controlled stimuli: photographs of patients taken before and after receiving botulinum toxin treatment for crow’s feet lines that selectively paralyzed the lateral orbicularis oculi muscle and removed visible lateral eye wrinkles, to test perception of smiles. Smiles in which the orbicularis muscle was active (prior to treatment) were rated as more felt, spontaneous, intense, and happier. Post treatment patients looked younger, although not more attractive. We discuss the potential implications of these findings within the context of emotion science and clinical research on botulinum toxin.

Discussion

Virtually all pre-treatment photographs depicted patients displaying Duchenne smiles. These smiles were rated as being happier, more felt, more spontaneous, and more intense than those posed by the same patients under the same conditions and instructions in post-treatment photographs. The photographs were matched for smile intensity (activity of the zygomatic major muscle pulling the lip corner) suggesting that the differences were due to the inhibition of the orbicularis oculi and not by the activity of zygomatic major.

Patients were also rated as being significantly younger after treatment (by approximately 1 year) likely due to less visible crow’s feet lines. There was no effect of treatment on facial attractiveness ratings. Although some have speculated that a more spontaneous smile would make a face more attractive, past research (Mehu et al., 2007b) also found no difference in ratings of attractiveness for faces displaying Duchenne vs. non-Duchenne smiles. As such, attractiveness might be more dependent on the face structure and skin health than on dynamic features.

Interestingly, we found that ratings of smile quality were dependent on sex. The smiles of female patients were rated as more felt, surprised, spontaneous, and intense as well as less sad. This is consistent with data suggesting that women are more expressive for positive valanced facial actions (McDuff et al., 2017).

These data are consistent with results of previous studies demonstrating that Duchenne smiles are perceived differently than non-Duchenne smiles (Hess and Kleck, 1994; Del Giudice and Colle, 2007; Krumhuber and Manstead, 2009; Mehu et al., 2012; Gunnery et al., 2013). Patients in the pre-treatment photographs—consisting almost exclusively of Duchenne smiles—were perceived as feeling more genuine positive emotion in comparison to post-treatment photographs. These data are also consistent with studies reporting high frequencies of Duchenne smiles in deliberate facial action tasks (Kanade et al., 2000; Krumhuber et al., 2020). Together, these findings suggest that although the Duchenne marker can be posed in the absence of positive affect, it is still perceived by others to be indicative of genuine emotion. Future research may benefit from examining potential limitations in the production or inhibition of the Duchenne marker in facial action tasks. Such work could shed new light on how different elicitation conditions might drive the reliability of this signal (McCullough and Reed, 2016; see also Zloteanu et al., 2020 in the context of surprise expressions).

Our results have several potential implications and caveats. Our study did not support the strongest version of the Duchenne hypothesis—that inhibition of the orbicularis oculi would make the smile signal appear unfelt or weak. Non-Duchenne smiles were rated as less happy, genuine, felt, and spontaneous, though our small treatment effects suggest that the effect was subtle. However, our stimulus patients were instructed to pose “maximum smiles” (maximum zygomatic activation). It may be that more pronounced effects on smile authenticity occur with less intense smiles. In general, these small but statistically significant changes could have practical implications in natural contexts where smiles may be less intense and/or the Duchenne marker may be more conspicuous.

Previous research has shown that the Duchenne marker plays a role in communicating cooperative intent (Mehu et al., 2007a, b; Reed et al., 2012) as well as eliciting cooperation from others (Scharlemman et al., 2001; Brown and Moore, 2002). In light of the results of the current study, it is possible that when the Duchenne marker is absent (in this study through chemodenervation that inhibited the orbicularis oculi muscle and erased visible crow’s feet wrinkles) signals of cooperation may be lessened. If so, augmenting other signals of positive affect such as vocal affect or body language may counter the effects. Future studies can test this idea.

The images used in this study were derived from a clinical trial evaluating the efficacy of botulinum toxin on crow’s feet lines. In order to test our hypothesis, we selected a subset of patients who showed no evidence of crow’s feet lines using the Facial Wrinkle Scale post treatment. The majority of patients in the trial (66%), while having clinical improvement, did not have complete elimination of their dynamic lines. Interestingly, the patients in this trial where dynamic lines were eliminated reported feeling more satisfied with their appearance after treatment than those in whom some movement was preserved (unpublished data, Allergan). This suggests a potential disconnect between the positive perception of the aesthetic outcome on the part of the patient and the subtle negative impact on emotion communication as perceived by the observers. While not within the scope of this paper, this tension warrants further exploration. As reported, perceived smile authenticity did not impact attractiveness ratings, and did make patients appear approximately a year younger.

Three specific limitations must be taken into account when interpreting our findings. First, participants rated static images as opposed to video clips. Video clips have been shown to provide richer emotional content in comparison to static images (Ambadar et al., 2005; see Krumhuber et al., 2013, for a review) and would allow for the analysis of timing characteristics of facial expressions (Ambadar et al., 2009). Second, our sample did not include pre- and post-treatment photographs of spontaneously occurring smiles. That is, we were able to test our primary hypotheses using only deliberate facial action tasks and not when patients were experiencing genuine positive emotion (see Namba et al., 2020, for a similar approach). Future research addressing these limitations could complement the present findings and broaden our understanding of the perceptual and behavioral effects of the Duchenne smile. Third, our study was done solely with participants in the United States. It may be that participants in other cultures will be more impacted by the absence of the Duchenne marker. For example, Yuki et al. (2007) found cultural difference in the use of the eyes and mouth as cues to emotion in Japan and the U.S., with participants in Japan relying more heavily on eye expression for determination of emotion, including happiness, and participants in the U.S. on the mouth.

The Duchenne smile was first reported in 1862 by Duchenne de Boulogne in his “Mechanisme de la Physiognomie Humane.” Duchenne isolated facial muscle action using the novel method of electrical contraction of its muscles. These were the first physiological experiments illustrated by photography. Over 150 years later, we used a pharmacological technique to selectively chemodenervate, and therefore isolate specific facial muscles. In doing so, we shed further light on Duchenne’s pioneering ideas and address current controversies. We find evidence that Duchenne smiles communicate genuine and more intense happiness and that complete inhibition of orbicularis oculi leads to subtle yet statistically significant decreases in such communication.

What is remarkable is that, in both studies, those who lean left were more inclined to unfriend someone after a political disagreement than those who lean right

Neubaum G, Cargnino M, Winter S, Dvir-Gvirsman S (2021) “You’re still worth it”: The moral and relational context of politically motivated unfriending decisions in online networks. PLoS ONE 16(1): e0243049. https://doi.org/10.1371/journal.pone.0243049

Rolf Degen's take: https://twitter.com/DegenRolf/status/1348863984494120969

Abstract: Political disagreements in social media can result in removing (i.e., “unfriending”) a person from one’s online network. Given that such actions could lead to the (ideological) homogenization of networks, it is pivotal to understand the psychological processes intertwined in unfriending decisions. This requires not only addressing different types of disagreements but also analyzing them in the relational context they occur. This article proposes that political disagreements leading to drastic measures such as unfriending are attributable to more deeply rooted moral dissents. Based on moral foundations theory and relationship regulation research, this work presents empirical evidence from two experiments. In both studies, subjects rated political statements (that violated different moral foundations) with regard to perceived reprehensibility and the likelihood of unfriending the source. Study 1 (N = 721) revealed that moral judgments of a political statement are moderately related to the unfriending decision. Study 2 (N = 822) replicated this finding but indicated that unfriending is less likely when the source of the morally reprehensible statement is relationally close to the unfriender and provides emotional support. This research extends unfriending literature by pointing to morality as a new dimension of analysis and offers initial evidence uncovering the psychological trade-off behind the decision of terminating digital ties. Drawing on this, our findings inform research on the homogenization of online networks by indicating that selective avoidance (in the form of politically motivated unfriending) is conditional upon the relational context and the interpersonal benefits individuals receive therein.

Check also What Do We Fear? Expected Sanctions for Expressing Minority Opinions in Offline and Online Communication. German Neubaum, Nicole C. Krنmer. Communication Research, Jan 2018. https://www.bipartisanalliance.com/2018/01/expected-sanctions-for-expressing.html

General discussion

The present studies focused on the phenomenon of politically motivated unfriending as a consequence of a moral disagreement. To this end, it examined (a) whether moral judgments are at work when reading political statements on social networking platforms, (b) whether and which moral evaluations have predictive value for the decision to politically “filtrate” one’s online network, and (c) to what extent moral judgements of political statements are undertaken differently depending on the relational context and the social rewards the source of political statement offers.

Study 1 and 2 partly replicated previous findings on characteristics of who are political unfrienders: Those who use social networking sites (in this case: Facebook) more frequently might encounter political dissents among their network more often and, therefore, they are more likely to unfriend or block someone [5, 8, 23]. Likewise, those who are more interested in politics feel more involved in certain political issues and, thus, perceive political disagreements as more severe, leading them to unfriend or block the dissenter [7]. What is remarkable is that, in both studies, those who lean left were more inclined to unfriend someone after a political disagreement than those who lean right. The fact that this result was not obtained consistently in previous research [4, 5, 27] may be explained by the national context and prevailing issues that are predominantly discussed in online networks at the time the study was conducted. It seems conceivable that in Germany (the country this research was conducted in 2017 and 2018), the debate about the immigration of refugees–as a rather dominant topic in the public [61]–might have led left-leaning users to unfriend or block those ties who opposed the immigration. Moreover, in contrast to previous findings [5, 23], higher political extremity was not associated with the likelihood of unfriending someone. This additionally suggests that the predictive value of the political identity or orientation on decisions of network filtrations depends on the current political landscape and state of polarization in certain countries.

While the present studies replicated certain findings from previous research, these factors only explained a limited variance of unfriending behavior (approx. 5% in both studies). In contrast to this, the present approach of focusing on the moral and relational nature of an unfriending decision appears to have greater explanatory value: First, both studies offered compelling evidence that evaluating a political statement on SNS as morally wrong is a driver of the decision to unfriend or block someone. This finding supports the notion that political disagreements that lead to the post hoc modification of one’s online network are rooted in moral discrepancies. Following this logic, Study 1 showed that individuals are able to differentiate between two different sets of moral foundations that a political statement on SNS violates: When the foundations of care/harm and fairness are trespassed, individuals seem to be slightly more inclined to unfriend someone than when the moral domains of loyalty, authority, or purity are violated. While Study 2 did not indicate main effects of the type of moral foundations violated, it showed that perceiving trespasses of individualizing foundations were slightly stronger associated with unfriending than perceived violations of binding foundations. Likewise, considering past behavior, users reported that violations of individualizing foundations were more likely to lead to unfriending decisions than trespasses of binding foundations. Collectively, this evidence is indicative for the role that morality and its nuances play when it comes to shaping one’s online network by terminating a digital relationship. In line with previous research, it seems that the stronger adherence to individualizing foundations in Western countries [22, 57] relative to binding foundations is also reflected in the way individuals deal with political statements in their online network. Given the patterns observed in the present research, the question arises whether there is a likelihood that online networks become clustered by moral foundations, potentially leading to a disconnection between those who prioritize individualizing versus those who prioritize binding foundations. While previous empirical research did not corroborate the notion that social media users are captivated in politically like-minded cocoons [9–11], it seems worthwhile to assume a more complex view and examine whether sub-networks in online communication can be characterized by homogenous moral values. As suggested by Greene [62], the investigation of moral conflicts and their related emotional tensions could contribute to explaining modern tribalism, potentially also in online environments.

The threat that online communication leads to full moral clustering, though, appears rather unlikely as is suggested by Study 2 when the relational context is taken into account. In line with previous works [2, 5], in disregard of the moral violation, people were more unlikely to unfriend or block someone when this person was relationally close (compared to relationally distant). The findings also offer an explanation why: Since relationally closer ties are more likely to offer emotional support [30], individuals seem to be willing to tolerate moral violations and not terminate the digital tie, in return of maintaining the reception of social support. This result clearly shows the boundaries of the predictive value of a moral judgment in relation to a political statement and indicates the importance of a relational context for consideration. This research, thus, represents a first step to theorize the inner trade-off individuals go through when making a decision about digital interpersonal relationships in the face of political debates. In a nutshell, a specific type of social support, that is, emotional support, seems to be an inhibitor of terminating a digital connection when exposed to a political statement that violates a moral foundation. In light of the vivid debate on users’ active homogenization of their online networks in terms of “echo chambers” [14, 15], this novel theoretical link between political disagreements, moral judgments, and interpersonal context in contemporary communication technologies reveals that there are boundaries to users’ selective avoidance of dissents. These boundaries seem to come into play when individuals can gain something from certain relationships (i.e., network ties). A psychological view on users’ decision to unfriend or block someone offers a fruitful ground for the discussion about why political and probably also moral diversity emerges and prevails in individuals’ online networks [10, 15, 41].

The present findings need to be interpreted in light of this research’s limitations. First, although this work assessed individuals’ past unfriending and blocking behavior, it predominantly employed a scenario-based approach relying on hypothetical unfriending decisions. Both types of measures, though, seem to offer concurring findings: Those who indicated that they had unfriended because of a political disagreement in the past were significantly more likely to express a higher likelihood of unfriending in the hypothetical scenarios (on a five-point scale/ Study 1: M = 2.96, SD = 0.90; Study 2: M = 3.27, SD = 1.20) than those who did not unfriend because of political reasons in the past (Study 1: M = 2.67, SD = 1.07; Study 2: M = 2.53, SD = 1.25) (Study 1: t(301.62) = -3.49, p = .001, Cohen’s d = -.29 / Study 2: t(583) = -6.58, p < .001, Cohen’s d = -.60). Participants’ answers on previous politically motivated unfriending actions also corroborated the relative importance of individualizing moral foundations, the role of relational closeness and social support. Thus, both studies reveal a significant connection between what participants told they did in the past and what they would do. Objective observations on how online networks and their potentially moral clusters change over time or mobile experience sampling questionnaires on users’ smartphones, though, would be an informative complement to the present research.

Second, while the present work speculates about the motivation behind unfriending decisions, the psychological processes at work are still to be uncovered. For instance, it is unclear to what extent unfriending decisions are driven by cognitive or by affective processes. Given that moral conflicts are often fueled by emotions [62], it seems plausible to assume that not every unfriending decision is the result of a rational calculus of costs and benefits when dissolving this relationship. Future research could address the psychological mechanisms behind the creation and modification of one’s online political network in a systematic manner.

Third, the composition of our samples should be taken into account. The fact that female and left-leaning participants (see A4 and A10 Figs in S1 File) were overrepresented in Study 1 leads to the question of how these variables influence unfriending decisions. While the gender-balanced sample of Study 2 indicates that politically motivated unfriending does not occur more often among women than among men, χ2 (1) = .61, p = .434, both studies revealed that left-leaning individuals (compared to right-leaning ones) are more likely to unfriend others. It seems worthwhile to scrutinize whether a certain political ideology comes with enhanced involvement in certain topics which, in turn, could lead to less tolerance (and a higher unfriending likelihood) when disagreements come up or whether this finding was due to the specific national context and selected topics.

To conclude, the present work extends previous research by providing initial evidence for the importance of morality as a link between encountering politically challenging content online and actively banning this kind of information from one’s news feed. If users estimate another user’s political comment to be morally wrong, they will be more likely to terminate the digital relationship with this person. The power of morality, though, is limited when users are aware of the social resources, i.e., emotional support, that the person that is potentially to be unfriended can offer. This research, thus, presents a new level of analysis in online networks that could contribute (a) to understand the potential of social media communication to foster (moral) tribalism and (b) to identify the limits of this potential moral segregation in light of the social benefits human beings provide to one another.

The brain: Different expert systems propose strategies for action, keeping track of the precision of the predictions within each system, exerting control over many different expert systems simultaneously to produce sophisticated behavior

Why and how the brain weights contributions from a mixture of experts. John P. O’Doherty et al. Neuroscience & Biobehavioral Reviews, January 11 2021. https://doi.org/10.1016/j.neubiorev.2020.10.022

Rolf Degen's take: https://twitter.com/DegenRolf/status/1348683591333670914

Highlights

• The brain can be thought of as a “Mixture of Experts” in which different expert systems propose strategies for action.

• This is accomplished by keeping track of the precision of the predictions within each system, and by allocating control over behavior in a manner that depends on the relative reliability of those predictions.

• This reliability-based control mechanism is domain general, exerting control over many different expert systems simultaneously in order to produce sophisticated behavior.

Abstract: It has long been suggested that human behavior reflects the contributions of multiple systems that cooperate or compete for behavioral control. Here we propose that the brain acts as a “Mixture of Experts” in which different expert systems propose strategies for action. It will be argued that the brain determines which experts should control behavior at any one moment in time by keeping track of the reliability of the predictions within each system, and by allocating control over behavior in a manner that depends on the relative reliabilities across experts. fMRI and neurostimulation studies suggest a specific contribution of the anterior prefrontal cortex in this process. Further, such a mechanism also takes into consideration the complexity of the expert, favoring simpler over more cognitively complex experts. Results from the study of different expert systems in both experiential and social learning domains hint at the possibility that this reliability-based control mechanism is domain general, exerting control over many different expert systems simultaneously in order to produce sophisticated behavior.

Keywords: cognitive controlPrefrontal cortexbasal gangliaTheoretical neuroscienceDecision-making

Conclusion

Here we outline a framework for conceptualizing the contribution of multiple systems to behavioral control in the human brain. We suggest that the brain utilizes a framework loosely analogous to the mixture of experts in machine learning, in which a prefrontal-based manager (which we hypothesize specifically involves the ventrolateral prefrontal cortex), reads out the reliability of the predictions by each of the constituent experts, and uses these predictions to allocate control over behavior to the experts in a manner that is proportional to the relative precision or uncertainties in their predictions. We suggest that this reliability-based arbitration process between experts is both necessary and sufficient for the efficient allocation of control between systems, as this approach takes into account not only the accuracy and hence the average expected value of the actions nominated by each expert, but also implicitly takes into account the cognitive costs and cognitive constraints. The interaction between systems that makes up the experts is we suggest, better conceived of as one of polling the advice from different systems that each have different relevant expertise that can and should be respected owing to differences in the nature of the information that is being processed, and in the algorithmic transformations that are performed on that information. These experts should be listened to as a collective, because they provide the right mixture of opinions needed to act in the world effectively.

Our results suggest that the theory cannot fully explain human aesthetic responses to flowers and clear preferences for them

Hula, M., & Flegr, J. (2021). Habitat Selection and Human Aesthetic Responses to Flowers. Evolutionary Human Sciences, 1-49. doi:10.1017/ehs.2020.66

Abstract: Although the aesthetic appreciation of flowers is a well-known aspect of human behaviour, theories explaining its origin are missing. The only exception is the evolutionary theory of Heerwagen and Orians. Surprisingly, it has not yet been empirically tested. The authors suggest that humans aesthetically respond to flowers because they signal food availability. The logic of the theory implies that fruits are more reliable and direct food availability signals than flowers. Therefore, fruits should elicit stronger aesthetic responses than flowers. To test this assumption, we performed two online studies in the Czech Republic. The participants (n = 2792 and 744 respectively) indicated on a six-point scale their aesthetic response to photographs of 14 edible Czech plant species (study A) and 20 edible plant species from African savannas (study B), varying in growth stage (flowering, fruiting). We found no difference between the Czech fruiting and flowering plants and a stronger aesthetic response to African flowering plants. A third study (n = 816) confirmed that flowers were preferred to fruits, using a forced-choice paradigm. Our results suggest that the theory cannot fully explain human aesthetic responses to flowers. We discuss alternative explanations. This topic deserves renewed attention from researchers working in related fields.

Social Media summary: Contrary to the assumptions of the habitat selection theory, flowers elicit stronger aesthetic responses than fruits.

Keywords: evolutionary aesthetics, habitat selection, flower preference, perception of flowers

Sexual prejudice toward gays is rooted in working-class experiences; contrary to mainstream ideas, social class matters in contemporary society, the relationship is not spurious, & education is not the main issue

Class Foundations of Sexual Prejudice toward Gay and Lesbian People. Stef Adriaenssens, Jef Hendrickx & Johanna Holm. Sexuality Research and Social Policy, Jan 11 2021. https://rd.springer.com/article/10.1007/s13178-020-00525-y

Abstract

Introduction: Sexual prejudice negatively affects the quality of life and life chances of those involved. Manual workers are consistently found to be less accepting of homosexuality in studies of sexual conformism. This can be seen as an application of Lipset’s ‘working class conformism’. Our core hypothesis is that this lower tolerance is rooted in working-class experiences. Counter-arguments are that that social class does not matter in contemporary society and that the relationship is spurious, with education as the true cause.

Methods: We test the central hypothesis with European survey data. First, we regress sexual prejudice on time trends and class with repeated cross-sections from the European Social Survey, ranging from 2002 to 2016. As an extra check, this is also applied to the European Values Study, going back to 1981. Further, we test the spuriousness argument with a matching design, testing whether stratification accounts for the lag.

Results: The time series shows a stable lag between working-class members and others against the general trend of decreasing sexual prejudice. The matching design provides evidence that working-class membership in itself is a factor behind differences in sexual prejudice.

Conclusions: Contrary to ‘death of class’ conjectures, working-class membership is related to sexual prejudice. This contribution shows that this gap is due to experiences of belonging to the working class and not solely to educational differences.

Policy Implications: Occupational experiences, especially in low-skill manual labour, have social effects in areas such as sexual prejudice. Improving the quality of work thus facilitates a more inclusive society for sexual minorities.