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Education correlates strongly with most important social and economic outcomes such as economic success, health, family stability, and social connections. Theories of stratification and selection created doubts about whether education actually caused good things to happen. Because schools and colleges select who continues and who does not, it was easy to imagine that education added little of substance. Evidence now tips the balance away from bias and selection and in favor of substance. Investments in education pay off for individuals in many ways. The size of the direct effect of education varies among individuals and demographic groups. Education affects individuals and groups who are less likely to pursue a college education more than traditional college students. A smaller literature on social returns to education indicates that communities, states, and nations also benefit from increased education of their populations; some estimates imply that the social returns exceed the private returns.

Visual search experiments typically involve participants searching simple displays with two potential response options: ‘present’ or ‘absent’. Here we examined search behavior and decision-making when participants were tasked with searching ambiguous displays whilst also being given a third response option: ‘I don’t know’. Participants searched for a simple target (the letter ‘o’) amongst other letters in the displays. We made the target difficult to detect by increasing the degree to which letters overlapped in the displays. The results showed that as overlap increased, participants were more likely to respond ‘I don’t know’, as expected. RT analyses demonstrated that ‘I don’t know’ responses occurred at a later time than ‘present’ responses (but before ‘absent’ responses) when the overlap was low. By contrast, when the overlap was high, ‘I don’t know’ responses occurred very rapidly. We discuss the implications of our findings for current models and theories in terms of what we refer to as ‘information stagnation’ during visual search.

When people look for things in the environment, they use target templates —mental representations of the objects they are attempting to locate—to guide attention and to assess incoming visual input as potential targets. However, unlike laboratory participants, searchers in the real world rarely have perfect knowledge regarding the potential appearance of targets. In seven experiments, we examined how the precision of target templates affects the ability to conduct visual search. Specifically, we degraded template precision in two ways: 1) by contaminating searchers’ templates with inaccurate features, and 2) by introducing extraneous features to the template that were unhelpful. We recorded eye movements to allow inferences regarding the relative extents to which attentional guidance and decision-making are hindered by template imprecision. Our findings support a dual-function theory of the target template and highlight the importance of examining template precision in visual search.

Previous research has shown that interacting with natural environments vs. more urban or built environments can have salubrious psychological effects, such as improvements in attention and memory. Even viewing pictures of nature vs. pictures of built environments can produce similar effects. A major question is: What is it about natural environments that produces these benefits? Problematically, there are many differing qualities between natural and urban environments, making it difficult to narrow down the dimensions of nature that may lead to these benefits. In this study, we set out to uncover visual features that related to individuals' perceptions of naturalness in images. We quantified naturalness in two ways: first, implicitly using a multidimensional scaling analysis and second, explicitly with direct naturalness ratings. Features that seemed most related to perceptions of naturalness were related to the density of contrast changes in the scene, the density of straight lines in the scene, the average color saturation in the scene and the average hue diversity in the scene. We then trained a machine-learning algorithm to predict whether a scene was perceived as being natural or not based on these low-level visual features and we could do so with 81% accuracy. As such we were able to reliably predict subjective perceptions of naturalness with objective low-level visual features. Our results can be used in future studies to determine if these features, which are related to naturalness, may also lead to the benefits attained from interacting with nature.

Similarity is a central concept in the study of cognition, having been identified as an explanatory factor in the dynamics of myriad psychological phenomena. The collection of similarity judgments, however, can be a difficult, laborious, and time-consuming process. There is presently a vast and diverse array of methodologies applied throughout the psychological sciences from which to gather judgments of similarity perceptions, and each carries its own relative advantages and disadvantages. Each method may be suitable for a specific set of contexts and stimuli but be inappropriate for others. This tutorial review is meant to serve as a guided tour of common similarity judgment-gathering methods currently utilized in the psychological sciences, and to provide an overview of how and when researchers should leverage them.

American workers’ occupational status strongly reflects the status of their parents. Men and women who grew up in a two-earner or father-breadwinner family achieved occupations that rose 0.5 point for every one-point increase in their parents’ statuses (less if their father was absent). Gender differences were small in two-earner families and mother-only families, but men’s status persisted more when the father was the sole breadwinner. Intergenerational persistence did not change in the time the data cover (1994–2016). Absolute mobility declined for recent birth cohorts; barely half the men and women born in the 1980s were upwardly mobile compared with two-thirds of those born in the 1940s. The results as described hold for a socioeconomic index (SEI) that scores occupation according to the average pay and credentials of people in the occupation. Most results were the same when occupations were coded by different criteria, but SEI produced the smallest gender differences.

Cognitive theories in visual attention and perception, categorization, and memory often critically rely on concepts of similarity among objects, and empirically require measures of \"sameness\" among their stimuli. For instance, a researcher may require similarity estimates among multiple exemplars of a target category in visual search, or targets and lures in recognition memory. Quantifying similarity, however, is challenging when everyday items are the desired stimulus set, particularly when researchers require several different pictures from the same category. In this article, we document a new multidimensional scaling database with similarity ratings for 240 categories, each containing color photographs of 16-17 exemplar objects. We collected similarity ratings using the spatial arrangement method. Reports include: the multidimensional scaling solutions for each category, up to five dimensions, stress and fit measures, coordinate locations for each stimulus, and two new classifications. For each picture, we categorized the item's prototypicality, indexed by its proximity to other items in the space. We also classified pairs of images along a continuum of similarity, by assessing the overall arrangement of each MDS space. These similarity ratings will be useful to any researcher that wishes to control the similarity of experimental stimuli according to an objective quantification of \"sameness.\"

Twenty percent of American adults claimed no religious preference in 2012, compared to 7 percent twenty-five years earlier. Previous research identified a political backlash against the religious right and generational change as major factors in explaining the trend. That research found that religious beliefs had not changed, ruling out secularization as a cause. In this paper we employ new data and more powerful analytical tools to: (1) update the time series, (2) present further evidence of correlations between political backlash, generational succession, and religious identification, (3) show how valuing personal autonomy generally and autonomy in the sphere of sex and drugs specifically explain generational differences, and (4) use GSS panel data to show that the causal direction in the rise of the \"Nones\" likely runs from political identity as a liberal or conservative to religious identity, reversing a long-standing convention in social science research. Our new analysis joins the threads of earlier explanations into a general account of how political conflict over cultural issues spurred an increase in non-affiliation.

In recent years, there has been rapidly growing interest in embodied cognition, a multifaceted theoretical proposition that (1) cognitive processes are influenced by the body, (2) cognition exists in the service of action, (3) cognition is situated in the environment, and (4) cognition may occur without internal representations. Many proponents view embodied cognition as the next great paradigm shift for cognitive science. In this article, we critically examine the core ideas from embodied cognition, taking a “thought exercise” approach. We first note that the basic principles from embodiment theory are either unacceptably vague (e.g., the premise that perception is influenced by the body) or they offer nothing new (e.g., cognition evolved to optimize survival, emotions affect cognition, perception–action couplings are important). We next suggest that, for the vast majority of classic findings in cognitive science, embodied cognition offers no scientifically valuable insight. In most cases, the theory has no logical connections to the phenomena, other than some trivially true ideas. Beyond classic laboratory findings, embodiment theory is also unable to adequately address the basic experiences of cognitive life.

Prior research has shown that searching for multiple targets in a visual search task enhances distractor memory in a subsequent recognition test. Three non-mutually exclusive accounts have been offered to explain this phenomenon. The mental comparison hypothesis states that searching for multiple targets requires participants to make more mental comparisons between the targets and the distractors, which enhances distractor memory. The attention allocation hypothesis states that participants allocate more attention to distractors because a multiple-target search cue leads them to expect a more difficult search. Finally, the partial match hypothesis states that searching for multiple targets increases the amount of featural overlap between targets and distractors, which necessitates greater attention in order to reject each distractor. In two experiments, we examined these hypotheses by manipulating visual working memory (VWM) load and target-distractor similarity of AI-generated faces in a visual search (i.e., RSVP) task. Distractor similarity was manipulated using a multidimensional scaling model constructed from facial landmarks and other metadata of each face. In both experiments, distractors from multiple-target searches were recognized better than distractors from single-target searches. Experiment 2 additionally revealed that increased target-distractor similarity during search improved distractor recognition memory, consistent with the partial match hypothesis.