Perceived objectivity and the effects of evaluative reinforcement upon compliance and self-evaluation in blacks

Two experiments were conducted to investigate the effects of positive and negative reinforcements upon black college students. In the first experiment subjects received either positive or negative reinforcement from a black or a white Evaluator. Behavioral change (compliance) was greater in response to negative reinforcement from a black Evaluator than in response to negative reinforcement from a white Evaluator, while there were no divergent effects of Evaluator's Race upon compliance with positive reinforcement. The same pattern obtained in subjects' self-evaluations. The second experiment offered a test of the hypothesis that the objectivity of black Evaluators was perceived as greater than that of white Evaluators, and that a manipulation aimed at equating the Evaluators on objectivity would attenuate the effects of Evaluator's Race upon compliance and self-evaluation in response to negative reinforcement. These hypotheses were generally supported by the results.     

Perceptual differences between reading handwritten and typed words

Perceptual differences between reading handwritten and typed words were investigated in a series of three experiments. In the first two experiments, a Sternberg memory search paradigm was employed, with either typed or handwritten probes. The reaction time to classify handwritten probes was slower than for typed probes, but memory search took place at the same rate for both kinds of probe. In the third experiment, the latencies for naming the written and typed words differed by the same amount of time as the overall difference between the same stimuli in the memory search task. These findings indicate that only perceptual processes are differentially affected by the differences between typed and written words. Furthermore, in these tasks the independence of encoding and memory search makes it unlikely that processes of perceptual indentification use expectations or analysis-by-synthesis based on the information in immediate memory     

Linguistic Distributional Knowledge and Sensorimotor Grounding both Contribute to Semantic Category Production

The human conceptual system comprises simulated information of sensorimotor experience and linguistic distributional information of how words are used in language. Moreover, the linguistic shortcut hypothesis predicts that people will use computationally cheaper linguistic distributional information where it is sufficient to inform a task response. In a pre-registered category production study, we asked participants to verbally name members of concrete and abstract categories and tested whether performance could be predicted by a novel measure of sensorimotor similarity (based on an 11-dimensional representation of sensorimotor strength) and linguistic proximity (based on word co-occurrence derived from a large corpus). As predicted, both measures predicted the order and frequency of category production but, critically, linguistic proximity had an effect above and beyond sensorimotor similarity. A follow-up study using typicality ratings as an additional predictor found that typicality was often the strongest predictor of category production variables, but it did not subsume sensorimotor and linguistic effects. Finally, we created a novel, fully grounded computational model of conceptual activation during category production, which best approximated typical human performance when conceptual activation was allowed to spread indirectly between concepts, and when candidate category members came from both sensorimotor and linguistic distributional representations. Critically, model performance was indistinguishable from typical human performance. Results support the linguistic shortcut hypothesis in semantic processing and provide strong evidence that both linguistic and grounded representations are inherent to the functioning of the conceptual system. All materials, data, and code are available at https://osf.io/vaq56/ .     

Extraretinal and retinal amplitude and phase errors during Filehne illusion and path perception

Pursuit eye movements give rise to retinal motion. To judge stimulus motion relative to the head, the visual system must correct for the eye movement by using an extraretinal, eye-velocity signal. Such correction is important in a variety of motion estimation tasks including judgments of object motion relative to the head and judgments of self-motion direction from optic flow. The Filehne illusion (where a stationary object appears to move opposite to the pursuit) results from a mismatch between retinal and extraretinal speed estimates. A mismatch in timing could also exist. Speed and timing errors were investigated using sinusoidal pursuit eye movements. We describe a new illusion--the slalom illusion--in which the perceived direction of self-motion oscillates left and right when the eyes move sinusoidally. A linear model is presented that determines the gain ratio and phase difference of extraretinal and retinal signals accompanying the Filehne and slalom illusions. The speed mismatch and timing differences were measured in the Filehne and self-motion situations using a motion-nulling procedure. Timing errors were very small for the Filehne and slalom illusions. However, the ratios of extraretinal to retinal gain were consistently less than 1, so both illusions are the consequence of a mismatch between estimates of retinal and extraretinal speed. The relevance of the results for recovering the direction of self-motion during pursuit eye movements is discussed.     

Recognition and source memory as multivariate decision processes

Recognition memory, source memory, and exclusion performance are three important domains of study in memory, each with its own findings, its specific theoretical developments, and its separate research literature. It is proposed here that results from all three domains can be treated with a single analytic model. This article shows how to generate a comprehensive memory representation based on multidimensional signal detection theory and how to make predictions for each of these paradigms using decision axes drawn through the space. The detection model is simpler than the comparable multinomial model, it is more easily generalizable, and it does not make threshold assumptions. An experiment using the same memory set for all three tasks demonstrates the analysis and tests the model. The results show that some seemingly complex relations between the paradigms derive from an underlying simplicity of structure.     

The Impact of Feminist Attitudes on the Relation between Racial Awareness and Racial Identity

This study examined the role of liberal and inclusive feminist attitudes in the development of a positive racial identity in a sample of White female undergraduates in the Midwestern United States. Participants (N?=?90) provided self-report data on their racial awareness, liberal and inclusive feminist attitudes, racial identity and demographic information. The main research question was how and to what extent liberal and inclusive feminism influence the relationship between racial awareness and racial identity. Building on conceptual scholarship on identity theory and the intersectionality, results indicated that the relation between racial awareness and racial identity was partially mediated by inclusive feminist attitudes but not by liberal feminist attitudes. The results suggest that a specific type of feminism, which takes into account the experience of race, plays a significant role in our understanding of how White women develop a positive White identity. Results highlight the intersection of race and gender in college student development and have potential implications for administrative responses to student adjustment in increasingly diverse college environments.     

A Review of Best Practice Recommendations for Text Analysis in R (and a User-Friendly App)

In recent decades, the amount of text available for organizational science research has grown tremendously. Despite the availability of text and advances in text analysis methods, many of these techniques remain largely segmented by discipline. Moreover, there is an increasing number of open-source tools (R, Python) for text analysis, yet these tools are not easily taken advantage of by social science researchers who likely have limited programming knowledge and exposure to computational methods. In this article, we compare quantitative and qualitative text analysis methods used across social sciences. We describe basic terminology and the overlooked, but critically important, steps in pre-processing raw text (e.g., selection of stop words; stemming). Next, we provide an exploratory analysis of open-ended responses from a prototypical survey dataset using topic modeling with R. We provide a list of best practice recommendations for text analysis focused on (1) hypothesis and question formation, (2) design and data collection, (3) data pre-processing, and (4) topic modeling. We also discuss the creation of scale scores for more traditional correlation and regression analyses. All the data are available in an online repository for the interested reader to practice with, along with a reference list for additional reading, an R markdown file, and an open source interactive topic model tool (topicApp; see https://github.com/wesslen/topicApp, https://github.com/wesslen/text-analysis-org-science, https://dataverse.unc.edu/dataset.xhtml?persistentId=doi:10.15139/S3/R4W7ZS).     

The classification of violence risk

The Classification of Violence Risk (COVR) is an interactive software program designed to estimate the risk that a person hospitalized for mental disorder will be violent to others. The software leads the evaluator through a chart review and a brief interview with the patient. At the end of this interview, the software generates a report that contains a statistically valid estimate of the patient's violence risk-ranging from a 1% to a 76% likelihood of violence-including the confidence interval for that estimate, and a list of the risk factors that the program took into account to produce the estimate. In this article, the development of the COVR software is described and several issues that arise in its administration are discussed.     

Normative and Descriptive Models of Military Decisions to Deploy Precision Strike Capabilities

Precision strike capabilities represent a significant and highly controversial part of present day military operations. And yet, there is a surprising dearth of empirical research on military decision making in this domain. In this article, we therefore review different psychological perspectives on how these decisions can be made. Specifically, we compare the application of normative models of judgment and choice against the empirical research on human decision making, which suggests that people are more likely to employ heuristic strategies. We suggest that several features of decision tasks in the precision strike domain evoke the use of intuitive (heuristic) decision making whereas other features such as the sometimes unfamiliar (or novel) nature of the decision task requires analytic strategies to generate good solutions. Therefore, decisions about precision strike capabilities are best made with a mixture of intuitive and analytic thought, a mode of thinking known as quasirationality.     

A meta-analytic review of the Dark Triad–intelligence connection

We conducted a meta-analytic review of the relations between general mental ability (GMA) and the Dark Triad (DT) personality traits—Machiavellianism, narcissism, and psychopathy—to determine if individuals who display socially exploitative social qualities tend to be more intelligent or less intelligent. Across 48 independent samples, GMA showed no consistent relation with any DT trait. These effects were not sufficient to support either the “evil genius” hypothesis (highly intelligent individuals tend to display socially exploitative personality traits) or the “compensatory” hypothesis (less intelligent individuals compensate for their cognitive disadvantages by adopting manipulative behavioral tendencies). However, these relations were moderated, to some extent, by the sex and age of the participants, type of sample studied, and the measure of GMA.