Signal detection evidence for limited capacity in visual search

The nature of capacity limits (if any) in visual search has been a topic of controversy for decades. In 30 years of work, researchers have attempted to distinguish between two broad classes of visual search models. Attention-limited models have proposed two stages of perceptual processing: an unlimited-capacity preattentive stage, and a limited-capacity selective attention stage. Conversely, noise-limited models have proposed a single, unlimited-capacity perceptual processing stage, with decision processes influenced only by stochastic noise. Here, we use signal detection methods to test a strong prediction of attention-limited models. In standard attention-limited models, performance of some searches (feature searches) should only be limited by a preattentive stage. Other search tasks (e.g., spatial configuration search for a "2" among "5"s) should be additionally limited by an attentional bottleneck. We equated average accuracies for a feature and a spatial configuration search over set sizes of 1-8 for briefly presented stimuli. The strong prediction of attention-limited models is that, given overall equivalence in performance, accuracy should be better on the spatial configuration search than on the feature search for set size 1, and worse for set size 8. We confirm this crossover interaction and show that it is problematic for at least one class of one-stage decision models.     

Spatial attention modulates feature crosstalk in visual word processing

One major idea about spatial attention is that it serves to modulate crosstalk between features during reading. Two reading aloud experiments are reported in which a cue-validity manipulation was combined with manipulations that are thought to increase the likelihood of feature-level crosstalk: interletter spacing and the presence or absence of irrelevant features. Both experiments yielded an interaction between the effects of spatial cuing and each of these factors. These results are taken to support the hypothesis that when spatial attention is focused on the word, it provides protection against crosstalk among features in the context of reading aloud.     

Challenging the reliability and validity of cognitive measures: The case of the numerical distance effect

The numerical distance effect (NDE) is one of the most robust effects in the study of numerical cognition. However, the validity and reliability of distance effects across different formats and paradigms has not been assessed. Establishing whether the distance effect is both reliable and valid has important implications for the use of this paradigm to index the processing and representation of numerical magnitude in both behavioral and neuroimaging studies. In light of this, we examine the reliability and validity of frequently employed variants (and one new variant) of the numerical comparison task: two symbolic comparison variants and two nonsymbolic comparison variants. The results of two experiments demonstrate that measures of the NDE that use nonsymbolic stimuli are far more reliable than measures of the NDE that use symbolic stimuli. With respect to correlations between measures, we find evidence that the NDE that arises using symbolic stimuli is uncorrelated with the NDE that is elicited by using nonsymbolic stimuli. Results are discussed with respect to their implications for the use of the NDE as a metric of numerical processing and representation in research with both children and adults.     

Cortisol and symptoms of psychopathology in Russian and American college students

Cortisol is a key player in the hypothalamus-pituitary-adrenal (HPA) axis response to stress, and has been related to symptoms of depression and other stress-related pathology. The present study investigated the relationship between cortisol and survey measures of stress and psychopathology as well as lifestyle in Russian and American college students. Salivary cortisol was collected upon awakening, 30 min later, at 4 p.m., and at 10 p.m. by Russian and American college students. Survey measures of anxiety and depression, as measured by the Hopkins Symptom Checklist (HSCL-25) were collected as well as scores on the Trauma History Questionnaire (THQ). In addition, measures of drinking-related problems, as measured by the Alcohol Use Disorder Identification Test (AUDIT) and the "Cut down, Annoyed, Guilty, Eye-opener" (CAGE) were also completed. Consistent with the typically observed empirical pattern, cortisol levels increased in the 30 min after awakening and then declined across the day. Women reported more symptoms of anxiety than did men in both Russian and American samples. American students reported more symptoms of depression than did Russian students, though Russian students reported more traumatic life experiences. Americans had higher cortisol levels overall, though Russian students had larger changes in cortisol levels across the day, associated with both greater morning rises and afternoon declines in cortisol. While more Russian students reported smoking, American students reported more problems associated with alcohol use as measured by the AUDIT. The relationship between stress and health, mediating factors of lifestyle and coping, and the impact of social transition in Russia are discussed.     

Inviting the Significant Other of LGBT Clients into Substance Abuse Treatment Programs: Frequency and Impact

In the New York Metropolitan area, convenience samples of 194 LGBT and 107 heterosexual former clients of substance abuse programs were compared in regard to rate of invitation of their significant others into treatment for at least one session. No significant differences between sexual orientation groups were found. For LGBT respondents, inviting significant others into treatment resulted in improved program completion rates, greater satisfaction with treatment, enhanced feelings of counselor support, and higher abstinence rates at the end of treatment. For women, not having a significant other predicted higher abstinence rates at the end of treatment.     

Spatial attention as a necessary preliminary to early processes in reading.

One major theory of the relation between spatial attention and visual word recognition holds that the former is a necessary condition for the latter to begin. A different major theory asserts that although spatial attention can facilitate the latter, it is not a necessary condition. These two theories were pitted against each other experimentally. Spatial attention was operationalized in terms of the effect of a spatial precue on the time to name a target word that appeared above or below fixation. A masked prime word was presented before the target. The critical difference between experiments was cue validity (50% in Experiments 1a and 2a and 100% in Experiments 1b and 2b). Repetition priming was observed when the prime appeared in the uncued prime location in Experiments la and 2a but not in Experiments 1b or 2b. These results are inconsistent with the claim that visual word recognition does not depend on spatial attention. Discussion centres on the distribution of spatial attention across target locations as a function of cue validity.     

Using Big Data and Machine Learning in Personality Measurement: Opportunities and Challenges

This conceptual paper examines the promises and critical challenges posed by contemporary personality measurement using big data. More specifically, the paper provides (i) an introduction to the type of technologies that give rise to big data, (ii) an overview of how big data is used in personality research and how it might be used in the future, (iii) a framework for approaching big data in personality science, (iv) an exploration of ideas that connect psychometric reliability and validity, as well as principles of fairness and privacy, to measures of personality that use big data, (v) a discussion emphasizing the importance of collaboration with other disciplines for personality psychologists seeking to adopt big data methods, and finally, (vi) a list of practical considerations for researchers seeking to move forward with big data personality measurement and research. It is expected that this paper will provide insights, guidance, and inspiration that helps personality researchers navigate the challenges and opportunities posed by using big data methods in personality measurement. © 2020 European Association of Personality Psychology     

How similar are recognition memory and inductive reasoning?

Conventionally, memory and reasoning are seen as different types of cognitive activities driven by different processes. In two experiments, we challenged this view by examining the relationship between recognition memory and inductive reasoning involving multiple forms of similarity. A common study set (members of a conjunctive category) was followed by a test set containing old and new category members, as well as items that matched the study set on only one dimension. The study and test sets were presented under recognition or induction instructions. In Experiments 1 and 2, the inductive property being generalized was varied in order to direct attention to different dimensions of similarity. When there was no time pressure on decisions, patterns of positive responding were strongly affected by property type, indicating that different types of similarity were driving recognition and induction. By comparison, speeded judgments showed weaker property effects and could be explained by generalization based on overall similarity. An exemplar model, GEN-EX (GENeralization from EXamples), could account for both the induction and recognition data. These findings show that induction and recognition share core component processes, even when the tasks involve flexible forms of similarity.