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This article explores the influence of sadness in ethical decision-making and behavior. In three laboratory studies, we found that an incidental state of sadness reduced individuals' propensity to engage in morally questionable behavior, including both unethical and selfish acts (Studies 1 to 3). We found this effect to be mediated by the role of sadness in prompting people to pay more attention to the negative consequences of morally questionable acts and perceive those consequences as more problematic (Studies 2 and 3). This effect was consistent using different decision-making contexts and held when rewards to be gained from such behavior were relatively high. Several implications of these findings for business ethics and organizations are discussed. [ABSTRACT FROM AUTHOR]

Background: In recent years, with the rapid development of technology, research on behavioral addiction concepts such as digital gaming disorders and problematic internet use has increased. As anime-watching has become widespread worldwide, it is thought that this behavior may be one of the areas of problematic technology use, especially in adolescence. However, studies evaluating problematic anime-watching behaviors within the framework of behavioral addictions are quite limited in the literature. In this study, problematic anime-watching behaviors, comorbid psychiatric disorders, and possible psychosocial factors were evaluated in 86 anime watchers aged between 12 and 18 years. Problematic anime-watching behaviors were evaluated according to the diagnostic criteria of other defined disorders related to addictive behaviors in ICD-11. A semi-structured interview tool was used to assess psychiatric comorbidities, and the IGDS9-SF adapted form for anime-watching, the Self-Efficacy Scale for Children, KIDCOPE, and the Social Anxiety Scale for Adolescents were used to collect other data. Results: It was determined that 36.8% of the 86 adolescents in our study had problematic anime-watching behavior. Compared to other adolescents, the problematic anime-watching group had significantly lower self-efficacy scores and significantly higher social anxiety and avoidant coping scores. A significant relationship was found between social anxiety disorder and watching problematic anime. Conclusions: The present study showed that problematic watching of anime may be a variant of behavioral addiction. In conclusion, the relationship between problematic anime-watching behaviors and mental health warrants further examination. [ABSTRACT FROM AUTHOR]

Online experiments are increasingly gaining traction in the behavioral sciences. Despite this, behavioral researchers have largely continued to use keyboards as the primary input devices for such online studies, overlooking the ubiquity of touchscreens in everyday use. This paper presents an open-source touchscreen extension for jsPsych, a JavaScript framework designed for conducting online experiments. We additionally evaluated the touchscreen extension assessing whether typical behavioral findings from two distinct perceptual decision-making tasks – the random-dot kinematogram and the Stroop task – can similarly be observed when administered via touchscreen devices compared to keyboard devices. Our findings indicate similar performance metrics for each paradigm between the touchscreen and keyboard versions of the experiments. Specifically, we observe similar psychometric curves in the random-dot kinematogram across the touchscreen and keyboard versions. Similarly, in the Stroop task, we detect significant task, congruency, and sequential congruency effects in both experiment versions. We conclude that our open-source touchscreen extension serves as a promising tool for data collection in online behavioral experiments on forced-choice tasks. [ABSTRACT FROM AUTHOR]

Investigating how infants first establish relationships between words is a necessary step towards understanding how an interconnected network of semantic relationships develops in the adult lexical-semantic system. Stimuli selection for these child studies is critical since words must be both familiar and highly imageable. However, there has been a reliance on adult word association norms to inform stimuli selection in English infant studies to date, as no resource currently exists for child-specific word associations. We present three experiments that explore the strength of word–word relationships in 3-year-olds. Experiment 1 collected children's word associations (WA) (N = 150; female = 84, L1 = British English) and compared them to adult associative norms (Moss & Older, 1996; Nelson et al., 2004 (Behavior Research Methods, Instruments, & Computers, 36(3), 402–407)). Experiment 2 replicated WAs from Experiment 1 in an online adaptation of the task (N = 24: 13 female, L1 = British English). Both experiments indicated a high proportion of child-specific WAs not represented in adult norms (Moss & Older, 1996; Nelson et al., 2004 (Behavior Research Methods, Instruments, & Computers, 36(3), 402–407)). Experiment 3 tested noun–noun WAs from these responses in an online semantic priming study (N = 40: 19 female, L1 = British English) and found that association type modulated priming (F(2.57, 100.1) = 13.13, p <. 0001, generalized η2 =.19). This research presents a resource of child-specific imageable noun–noun word pair stimuli suitable for testing young children in word recognition and semantic priming studies. [ABSTRACT FROM AUTHOR]

Online experiments have been transforming the field of behavioral research, enabling researchers to increase sample sizes, access diverse populations, lower the costs of data collection, and promote reproducibility. The field of developmental psychology increasingly exploits such online testing approaches. Since infants cannot give explicit behavioral responses, one key outcome measure is infants' gaze behavior. In the absence of automated eyetrackers in participants' homes, automatic gaze classification from webcam data would make it possible to avoid painstaking manual coding. However, the lack of a controlled experimental environment may lead to various noise factors impeding automatic face detection or gaze classification. We created an adult webcam dataset that systematically reproduced noise factors from infant webcam studies which might affect automated gaze coding accuracy. We varied participants' left-right offset, distance to the camera, facial rotation, and the direction of the lighting source. Running two state-of-the-art classification algorithms (iCatcher+ and OWLET) revealed that facial detection performance was particularly affected by the lighting source, while gaze coding accuracy was consistently affected by the distance to the camera and lighting source. Morphing participants' faces to be unidentifiable did not generally affect the results, suggesting facial anonymization could be used when making online video data publicly available, for purposes of further study and transparency. Our findings will guide improving study design for infant and adult participants during online experiments. Moreover, training algorithms using our dataset will allow researchers to improve robustness and allow developmental psychologists to leverage online testing more efficiently. [ABSTRACT FROM AUTHOR]

This manuscript presents a novel geofencing method in behavioral research. Geofencing, built upon geolocation technology, constitutes virtual fences around specific locations. Every time a participant crosses the virtual border around the geofenced area, an event can be triggered on a smartphone, e.g., the participant may be asked to complete a survey. The geofencing method can alleviate the problems of constant location tracking, such as recording sensitive geolocation information and battery drain. In scenarios where locations for geofencing are determined by participants (e.g., home, workplace), no location data need to be transferred to the researcher, so this method can ensure privacy and anonymity. Given the widespread use of smartphones and mobile Internet, geofencing has become a feasible tool in studying human behavior and cognition outside of the laboratory. The method can help advance theoretical and applied psychological science at a new frontier of context-aware research. At the same time, there is a lack of guidance on how and when geofencing can be applied in research. This manuscript aims to fill the gap and ease the adoption of the geofencing method. We describe the current challenges and implementations in geofencing and present three empirical studies in which we evaluated the geofencing method using the Samply application, a tool for mobile experience sampling research. The studies show that sensitivity and precision of geofencing were affected by the type of event, location radius, environment, operating system, and user behavior. Potential implications and recommendations for behavioral research are discussed. [ABSTRACT FROM AUTHOR]

Ductility dip cracking (DDC) is a solid-state failure occurring during multi-pass solidification processes (e.g., welding, additive manufacturing) for FCC alloys that exhibit a distinct dip in their ductility at intermediate temperatures. While the phenomenon has been studied for over a century, the majority of current research focuses on a subset of DDC-susceptible FCC alloys (Ni–Cr–Fe). The review paper herein presents an analysis of published data to evaluate the current state of understanding regarding the materials mechanisms at work. Recent advances in test methods have permitted highly controlled approaches for testing and quantifying DDC, but the wide range of unique tests often provide conflicting results regarding the fundamental materials behaviors and underlying mechanisms. At present, three mechanisms have been proposed for DDC: grain boundary sliding, precipitate-induced strain, and impurity element segregation. While the majority of published studies support grain boundary sliding as the primary mechanism of DDC, an examination of the aggregate data available across multiple studies suggests combinatorial impact of simultaneous (and competing) mechanisms for DDC. Further, the long-held assumptions regarding the negative impact of key alloying elements become less convincing when comparing results across studies. There are considerable future opportunities for research on DDC behaviors in other alloy systems, and there are a lacunae of data when considering the effect of welding process parameters on DDC and the use of modeling and simulation approaches to understand the DDC behavior in the highly susceptible FCC alloy systems. [ABSTRACT FROM AUTHOR]

Previous research evaluating behavior skills training and performance feedback has largely examined factors influencing interventionist performance outcomes. However, to our knowledge, researchers have yet to compile existing literature to specifically explore characteristics associated with improved learner outcomes in the context of interventionist training research. In our meta-analysis, we conducted a regression analysis to examine the relationships between improved interventionist performance, interventionist training approach (behavioral skills training versus performance feedback in isolation), behavior domain (skill acquisition, behavior reduction, or both used in combination), and interventionist type on outcomes for learners. Results suggested that while interventionist performance was significantly correlated with improved learner outcomes, the training approach used was not. Behavior domain was found to reliably predict learner outcomes. Namely, training interventionists on protocols featuring both skill acquisition and behavior reduction were associated with better outcomes for learners than either skill acquisition or behavior reduction in isolation. Finally, interventionist type reliably predicted learner outcomes. That is, behavior therapists were positively correlated with larger learner effect sizes compared to other interventionist type, while post-secondary students as interventionists were correlated with the poorest learner outcomes. We end the paper by discussing potential clinical implications and make recommendations for future research. [ABSTRACT FROM AUTHOR]

Conditional process models, including moderated mediation models and mediated moderation models, are widely used in behavioral science research. However, few studies have examined approaches to conduct statistical power analysis for such models and there is also a lack of software packages that provide such power analysis functionalities. In this paper, we introduce new simulation-based methods for power analysis of conditional process models with a focus on moderated mediation models. These simulation-based methods provide intuitive ways for sample-size planning based on regression coefficients in a moderated mediation model as well as selected variance and covariance components. We demonstrate how the methods can be applied to five commonly used moderated mediation models using a simulation study, and we also assess the performance of the methods through the five models. We implement our approaches in the WebPower R package and also in Web apps to ease their application. [ABSTRACT FROM AUTHOR]

This paper introduces the Ghent Semi-spontaneous Speech Paradigm (GSSP), a new method for collecting unscripted speech data for affective-behavioral research in both experimental and real-world settings through the description of peer-rated pictures with a consistent affective load. The GSSP was designed to meet five criteria: (1) allow flexible speech recording durations, (2) provide a straightforward and non-interfering task, (3) allow for experimental control, (4) favor spontaneous speech for its prosodic richness, and (5) require minimal human interference to enable scalability. The validity of the GSSP was evaluated through an online task, in which this paradigm was implemented alongside a fixed-text read-aloud task. The results indicate that participants were able to describe images with an adequate duration, and acoustic analysis demonstrated a trend for most features in line with the targeted speech styles (i.e., unscripted spontaneous speech versus scripted read-aloud speech). A speech style classification model using acoustic features achieved a balanced accuracy of 83% on within-dataset validation, indicating separability between the GSSP and read-aloud speech task. Furthermore, when validating this model on an external dataset that contains interview and read-aloud speech, a balanced accuracy score of 70% is obtained, indicating an acoustic correspondence between the GSSP speech and spontaneous interviewee speech. The GSSP is of special interest for behavioral and speech researchers looking to capture spontaneous speech, both in longitudinal ambulatory behavioral studies and laboratory studies. To facilitate future research on speech styles, acoustics, and affective states, the task implementation code, the collected dataset, and analysis notebooks are available. [ABSTRACT FROM AUTHOR]

Psychological science has thrived thanks to new methods and innovative practices. Journals, including Behavior Research Methods (BRM), continue to support the dissemination and evaluation of research assets including data, software/hardware, statistical code, and databases of stimuli. However, such research assets rarely allow for computational reproducibility, meaning they are difficult to reuse. Therefore, in this preregistered report, we explore how BRM's authors and BRM structures shape the landscape of functional research assets. Our broad research questions concern: (1) How quickly methods and analytical techniques reported in BRM can be used and developed further by other scientists; (2) Whether functionality has improved following changes to BRM journal policy in support of computational reproducibility; (3) Whether we can disentangle such policy changes from changes in reproducibility over time. We randomly sampled equal numbers of papers (N = 204) published in BRM before and after the implementation of policy changes. Pairs of researchers recorded how long it took to ensure assets (data, software/hardware, statistical code, and materials) were fully operational. They also coded the completeness and reusability of the assets. While improvements were observed in all measures, only changes to completeness were altered significantly following the policy changes (d =.37). The effects varied between different types of research assets, with data sets from surveys/experiments showing the largest improvements in completeness and reusability. Perhaps more importantly, changes to policy do appear to have improved the life span of research products by reducing natural decline. We conclude with a discussion of how, in the future, research and policy might better support computational reproducibility within and beyond psychological science. [ABSTRACT FROM AUTHOR]

Objects are commonly described based on their relations to other objects (e.g., associations, semantic similarity, etc.) or their physical features (e.g., birds have wings, feathers, etc.). However, objects can also be described in terms of their actionable properties (i.e., affordances), which reflect interactive relations between actors and objects. While several normed datasets have been developed to categorize various aspects of meaning (e.g., semantic features, cue–target associations, etc.), to date, norms for affordances have not been generated. We address this limitation by developing a set of affordance norms for 2825 concrete nouns. Using an open-response format, we computed affordance strength (AFS; i.e., the probability of an item eliciting a particular action response), affordance proportion (AFP; i.e., the proportion of participants who provided a specific action response), and affordance set size (AFSS; i.e., the total number of unique action responses) for each item. Because our stimuli overlapped with Pexman et al.'s, Behavior Research Methods, 51, 453-466, (2019) body–object interaction norms (BOI), we tested whether AFS, AFP, and AFSS were related to BOI, as objects with more perceived action properties may be viewed as being more interactive. Additionally, we tested the relationship between AFS and AFP and two separate measures of relatedness: cosine similarity (Buchanan et al., Behavior Research Methods, 51, 1849-1863, 2019a, Behavior Research Methods, 51, 1878-1888, 2019b) and forward associative strength (Nelson et al., Behavior Research Methods, Instruments, & Computers, 36(3), 402–407, 2004). All analyses, however, revealed weak relationships between affordance measures and existing semantic norms, suggesting that affordance properties reflect a separate construct. [ABSTRACT FROM AUTHOR]

Understanding our cognitive and behavioral reactions to large-scale collective problems involving health and resource scarcity threats, such as the COVID-19 pandemic, helps us be better prepared for future collective threats. However, existing studies on these threats tend to be restricted to correlational data, partly due to a lack of reliable experimental techniques for manipulating threat perceptions. In four preregistered experiments (N = 5152), we developed and validated an experimental technique that can separately activate perceptions of personal health threat or resource scarcity threat, either in the specific context of the COVID-19 pandemic or in general. We compared the threat manipulations to a relaxation manipulation designed to deactivate background threat perceptions as well as to a passive control condition. Confirmatory tests showed substantial activation of personal health and resource scarcity threat perceptions. This brief technique can be easily used in online experiments. Distress due to the threat manipulation was rarely reported and easily managed with a debriefing toolkit. [ABSTRACT FROM AUTHOR]

The gender-sensitive analysis of influencing factors on mathematical performance of primary school pupils can yield valuable insights into facilitating this vital phase of pupils' educational trajectory. We view gender-sensitive mathematical performance in primary school based on works of Niklas (Psychologie in Erziehung und Unterricht, 62, 106, 2015) and Luttenberger et al. (Psychology Research and Behavior Management, 11, 311–322, 2018). All elements of their models can be assigned to structural traits of origin, home learning environment, interacting variables, and mathematics performance. These are presented and described in terms of gender. In our four-year long longitudinal study (n = 239) with four measurement points in primary school, the interplay and predictive power of these elements were analysed with structural equation model. Among the structural traits of origin, socio-economic status and migration background are relevant concerning precursor skills. The home learning environment is not relevant for precursor skills or later mathematics performance. The precursor skills and self-concept appear to be significant for mathematics performance whereas enjoyment of the subject does not matter. Gender affected only two measuring points of mathematics performance, so that the results support the gender similarity hypothesis according to Hyde (The American psychologist, 60, 581–592, 2005.) According to our study, school entry is not shaped by gender differences in social background, affective characteristics, or precursor skills. The results emphasize gender equality at the start of school, so that it is of interest for future studies to determine when and on the basis of which criteria performance differences develop in mathematics. [ABSTRACT FROM AUTHOR]

The influence of orthographic neighbors on visual word recognition is well established in alphabetic scripts. To determine the universality of this effect across writing systems, researchers have been keen on exploring its presence and nature in Chinese word recognition. Given that Chinese is logographic, it necessitates a different definition for orthographic neighbors from the ones used in alphabetic scripts. One popular approach is to consider words that share characters as orthographic neighbors. Adopting this definition, a facilitative effect has been observed for characters that can create more words. However, as characters are also morphemes in Chinese, the facilitation found might actually come from a larger morphological family size. This possibility was tested in the present study by analyzing data from the Chinese Lexicon Project (CLP; Tse et al., Behavior Research Methods, 49, 1503–1519, 2017, Behavior Research Methods, 49, 1503–1519, 2022), a megastudy of two-character word recognition in traditional Chinese. If the effects of character-sharing are indeed morphological in nature, the facilitation should be smaller for ambiguous characters because the words formed are distributed over several morphological families. The results of the analyses were consistent with this hypothesis, revealing interactions between the number of words formed by a character and the number of meanings of the character. The implications of these findings were discussed in the context of definitions of orthographic neighbors and theories of word recognition in Chinese. [ABSTRACT FROM AUTHOR]

One of the issues that can potentially affect the internal validity of interactive online experiments that recruit participants using crowdsourcing platforms is collusion: participants could act upon information shared through channels that are external to the experimental design. Using two experiments, I measure how prevalent collusion is among MTurk workers and whether collusion depends on experimental design choices. Despite having incentives to collude, I find no evidence that MTurk workers collude in the treatments that resembled the design of most other interactive online experiments. This suggests collusion is not a concern for data quality in typical interactive online experiments that recruit participants using crowdsourcing platforms. However, I find that approximately 3% of MTurk workers collude when the payoff of collusion is unusually high. Therefore, collusion should not be overlooked as a possible danger to data validity in interactive experiments that recruit participants using crowdsourcing platforms when participants have strong incentives to engage in such behavior. [ABSTRACT FROM AUTHOR]

In the realm of behavioral research, significant contributions have greatly advanced reading studies, influencing educational practices. We explored the relationship between the degrees of incidental bidirectional naming (Inc-BiN) capabilities and children's derived relations for literacy responses. Inc-BiN is a repertoire whereby a child acquires listener and speaker responses from observation alone. Incidental unidirectional naming (Inc-UniN) occurs when observation of object-names produces listener, but not speaker behavior. Students who did not demonstrate listener and speaker components were classified as having No Incidental Naming (NiN). Across two studies, we evaluated how component skills involved in Inc-BiN are connected to emergent literacy responses in preschoolers with a disability. In Study 1, participants completed two conditions: (1) directly reinforcing speaker responses and testing for the emergence of listener responses, and (2) directly reinforcing listener responses and testing for the emergence of speaker responses. Results suggested that participants with Inc-BiN readily derived both speaker and listener responses, participants with Inc-UniN readily derived listener, but not speaker responses, and participants with NiN had difficulty acquiring directly reinforced responses and deriving responses. In Study 2, we established Inc-BiN with participants and readministered Study 1 tests. Our results suggest overlap between incidental bidirectional naming and derived responses and point to how one can incorporate derived relations instruction and differentiate instruction for children with varying repertoires. [ABSTRACT FROM AUTHOR]

Scholars have gradually turned their attention to ethical leadership within the developing discussion of leaders' influence on employee pro-environmental behavior. However, few have regarded ethical leadership as an antecedent of employee pro-environmental behavior. Based on social and role identity theories, we investigated the mechanism by which ethical leadership affects employee pro-environmental behavior through employee environmental self-identity. We also explored the moderating role of behavioral integrity in the process of employee environmental self-identity being rendered into pro-environmental behavior. We gathered data from 284 subordinate–supervisor dyads across China's various regions and industries and utilized a regression analysis and bootstrapping test to evaluate our hypotheses, all of which were supported by the results. We found that employee environmental self-identity played a partial mediating role in the relationship between ethical leadership and employee pro-environmental behavior. When employees perceived that their leaders had a high (low) level of behavioral integrity, employee environmental self-identity was more (less) effectively transformed into pro-environmental behavior. Furthermore, the indirect effect of ethical leadership on employee pro-environmental behavior is higher (lower) through environmental self-identity at the same time. In response to calls to advance research on pro-environmental behavior and ethical leadership, our research reveals potential antecedents to employee pro-environmental behavior. [ABSTRACT FROM AUTHOR]

Since most tasks in today's workplace involve collaboration. The popularity of individuals in the workplace has emerged as a significant and intriguing research subject. This study, utilizing social capital theory, investigates how leader popularity influences leadership effectiveness. We collected data from 156 leaders and 485 employees across various Chinese companies using a multi-source, multi-wave approach. Our findings indicate a positive relationship between leader popularity and leadership effectiveness. Team cohesion mediates the positive impact of leader popularity on leadership effectiveness. Furthermore, leader openness moderates the relationship between leader popularity and team cohesion. Leader openness moderates the indirect relationship between leader popularity and leadership effectiveness through team cohesion. This indirect relationship is stronger when leader openness is high. The study's conclusion supports integrating the concept of popularity into organizational behavior research. It also offers practical insights for organizations and leaders to enhance leadership effectiveness. [ABSTRACT FROM AUTHOR]

Research on the migration behaviors of contaminants in the aquitard has been deficient for an extended period. Clay is commonly employed as an impermeable layer or barrier to stop the migration of contaminants. However, under certain conditions, the clay layer may exhibit permeability to water, thereby allowing contaminants to infiltrate and potentially contaminate adjacent aquifers. Consequently, it holds immense importance to scrutinize and investigate the migration characteristics of light non-aqueous phase liquid (LNAPL) within the aquitard for the purposes of groundwater pollution control and remediation. To evaluate the environmental risk posed by organic contaminants in the aquitard, an experimental model was formulated and devised to monitor the LNAPL concentration in the aquitard under pumping conditions. The correlation between pumping rate and LNAPL concentration was investigated. A self-developed plexiglass sandbox model was used to simulate the migration characteristics of LNAPL in the aquitard under pumping conditions. Four experimental scenarios were designed, varying pumping rates, aquitard thicknesses, and groundwater level changes. The LNAPL concentration curve was derived by systematically tracking and analyzing LNAPL levels at various locations within the aquitard. The results indicated that higher pumping rates corresponded to increased migration of LNAPL, resulting in greater LNAPL ingress into the pumping well during extraction. A thicker aquitard demonstrated a more pronounced inhibitory effect on LNAPL, leading to an extended penetration time of LNAPL within the aquitard. The drawdown within the aquitard exerted a discernible influence on LNAPL migration, with the LNAPL concentration continuing to decrease in tandem with declining water levels during pumping. These research findings can establish a scientific foundation for the control and remediation of contaminants within aquitards. [ABSTRACT FROM AUTHOR]

Employee green behavior is the key to achieving corporate environmental management goals and promoting sustainable development of enterprises. Based on the social exchange theory (SET), the study innovatively introduces organization-based self-esteem (OBSE) as a mediating variable to explore the mechanism of paternalistic leadership on employee green behavior (EGB), and simultaneously using power distance (PD) as a moderating variable to moderate the relationship between organization-based self-esteem and employee green behavior. We collected data from 305 employees at four resource-based enterprises in Jiangsu and Shanghai regions via offline survey method and used Smart-PLS 3.0 software to analyze the data and PLS-SEM method to support our model. Authoritarian leadership (AL) and benevolent leadership (BL) not only affect employee green behavior, but also affects employee organization-based self-esteem, while employee organization-based self-esteem also affects employee green behavior. This study concluded that authoritarian leadership is negatively related with employee green behavior and organization-based self-esteem plays a mediating role between authoritarian leadership and employee green behavior. Benevolent leadership is positively related with employee green behavior and organization-based self-esteem plays a mediating role between benevolent leadership and employee green behavior. In addition, power distance is positively moderates the relationship between organization-based self-esteem and employee green behavior. This study enriched the research results of paternalistic leadership, made up for the shortcomings in the field of employee green behavior research and provided reference and inspiration for future research on the relationship between paternalistic leadership and employee green behavior. [ABSTRACT FROM AUTHOR]

There are a number of challenges in recruiting people living with dementia for research purposes, and consequently, studies may be underpowered or fail. This commentary describes barriers experienced by a research study in recruiting people with early-stage dementia living in the community, for a focus group about their perceptions of using a technology-enabled pain assessment tool to detect and quantify pain. Four potentially important groups of barriers encountered during the recruitment phase are discussed, namely dementia, pain, mobile health application (mHealth) technology and COVID-19. The strategies used in an attempt to overcome these barriers are also discussed. Despite a comprehensive approach to recruitment, the required participant number was not achieved. It is recommended careful consideration be given to recruitment including flexibility in recruitment strategies tailored to the unique contexts of a study. [ABSTRACT FROM AUTHOR]

Autism spectrum is characterized by difficulties in social communication and interactions and limited, restricted patterns of behavior, interests, and activity. It is diagnosed and described on the basis of behavioral characteristics. Therefore, behavior research plays a critical role in better understanding the functioning of this group of children. Studies on their interests and curiosity take mainly the form of experiments on visual and object exploration. We argue that important aspects of behavior might be neglected within these studies and propose to refine the approach by incorporating the achievements of classic ethology, contemporary measurement and analytical tools, and the theory of integrative levels. We conclude with an outline of the proposed approach in a short list of major methodological postulates. [ABSTRACT FROM AUTHOR]

Human language, hominin tool production modes, and multimodal communications systems of primates and other animals are currently well-studied for how they display compositionality or combinatoriality. In all cases, the former is defined as a kind of hierarchical nesting and the latter as a lack thereof. In this article, I extend research on combinatoriality and compositionality further to investigations of everyday primate skills. Daily locomotion modes as well as behaviors associated with subsistence practices, hygiene, or body modification rely on the hierarchical nesting of different behavioral and cognitive actions into complex skills. I introduce a scheme which uses hierarchical organization to differentiate combinatorial from compositional skills. Combinatorial skills are defined either as aggregational or linearly hierarchical depending on whether the skill occurs momentarily in space or unfolds sequentially over time. Compositional skills are defined either as nested or interactionally hierarchical depending on whether the skill results in new constructs or in new interactions between existing constructs. The methodology I propose combines epistemological hierarchy theory with data from primatological field research and experimental and comparative psychological research and provides a means to integrate current constructionist and extended views on cognition and action with older research on behavioral logics in psychology and operational chain thinking in anthropology. The approach furthermore synchronizes with ongoing research on teleonomy, intentionality, and creativity. [ABSTRACT FROM AUTHOR]

Amongst fishes, zebrafish (Danio rerio) has gained popularity as a model system over most other species and while their value as a model is well documented, their usefulness is limited in certain fields of research such as behavior. By embracing other, less conventional experimental organisms, opportunities arise to gain broader insights into evolution and development, as well as studying behavioral aspects not available in current popular model systems. The anabantoid paradise fish (Macropodus opercularis), an "air-breather" species has a highly complex behavioral repertoire and has been the subject of many ethological investigations but lacks genomic resources. Here we report the reference genome assembly of M. opercularis using long-read sequences at 150-fold coverage. The final assembly consisted of 483,077,705 base pairs (~483 Mb) on 152 contigs. Within the assembled genome we identified and annotated 20,157 protein coding genes and assigned ~90% of them to orthogroups. [ABSTRACT FROM AUTHOR]

In this study, we report on the electrochemical properties of hydrothermally synthesized MoS2 composites for use in lithium-ion batteries. A widespread method was modified for facile synthesis of pristine MoS2 and its composites with PEDOT:PSS, rGO, or both. The electrochemical performance of the materials was investigated using cyclic voltammetry and galvanostatic charge-discharge measurements. The addition of rGO significantly enhances the specific capacity and stability of MoS2, with the MoS2/rGO composite exhibiting specific capacity in the second cycle of 748 mA·h·g−1 and a capacity retention of 63% through the 400th cycle. The composites exhibited a phenomenon of capacity increase after reaching a minimum, with this effect being most pronounced in the case of MoS2/rGO. This composite reached its lower capacity value at the 143rd cycle (211 mA·h·g−1), and then recovered to 224% of the minimum capacity (472 mA·h·g−1). We attribute this behavior to an increase in the availability of active particles over the course of cycling by milling the active components into smaller and thus more accessible species of Li2S and S. The intensity of the effect of rGO is due to its intrinsically large surface area and two-dimensional layered structure, which enhances the distribution of redox-active particles within the material layers and prevents agglomeration. Our results contribute to the existing evidence of the improved electrochemical performance of MoS2 in Li-ion batteries with layered graphitic compounds and provide promising avenues for further research of the unique behavior of conversion materials. [ABSTRACT FROM AUTHOR]

Our daily experiences unfold continuously, but we remember them as a series of discrete events through a process called event segmentation. Prominent theories of event segmentation suggest that event boundaries in memory are triggered by significant shifts in the external environment, such as a change in one's physical surroundings. In this review, we argue for a fundamental extension of this research field to also encompass internal state changes as playing a key role in structuring event memory. Accordingly, we propose an expanded taxonomy of event boundary-triggering processes, and review behavioral and neuroscience research on internal state changes in three core domains: affective states, goal states, and motivational states. Finally, we evaluate how well current theoretical frameworks can accommodate the unique and interactive contributions of internal states to event memory. We conclude that a theoretical perspective on event memory that integrates both external environment and internal state changes allows for a more complete understanding of how the brain structures experiences, with important implications for future research in cognitive and clinical neuroscience. [ABSTRACT FROM AUTHOR]

In behavioral research, it is very common to have manage multiple datasets containing information about the same set of individuals, in such a way that one dataset attempts to explain the others. To address this need, in this paper the Tucker3-PCovR model is proposed. This model is a particular case of PCovR models which focuses on the analysis of a three-way data array and a two-way data matrix where the latter plays the explanatory role. The Tucker3-PCovR model reduces the predictors to a few components and predicts the criterion by using these components and, at the same time, the three-way data is fitted by the Tucker3 model. Both the reduction of the predictors and the prediction of the criterion are done simultaneously. An alternating least squares algorithm is proposed to estimate the Tucker3-PCovR model. A biplot representation is presented to facilitate the interpretation of the results. Some applications are made to empirical datasets from the field of psychology. [ABSTRACT FROM AUTHOR]

Semantic feature production norms have several desirable characteristics that have supported models of representation and processing in adults. However, several key challenges have limited the use of semantic feature norms in studies of early language acquisition. First, existing norms provide uneven and inconsistent coverage of early-acquired concepts that are typically produced and assessed in children under the age of three, which is a time of tremendous growth of early vocabulary skills. Second, it is difficult to assess the degree to which young children may be familiar with normed features derived from these adult-generated datasets. Third, it has been difficult to adopt standard methods to generate semantic network models of early noun learning. Here, we introduce Feats—a tool that was designed to make headway on these challenges by providing a database, the Language Learning and Meaning Acquisition (LLaMA) lab Noun Norms that extends a widely used set of feature norms McRae et al. Behavior Research Methods37, 547–559, (2005) to include full coverage of noun concepts on a commonly used early vocabulary assessment. Feats includes several tools to facilitate exploration of features comprising early-acquired nouns, assess the developmental appropriateness of individual features using toddler-accessibility norms, and extract semantic network statistics for individual vocabulary profiles. We provide a tutorial overview of Feats. We additionally validate our approach by presenting an analysis of an overlapping set of concepts collected across prior and new data collection methods. Furthermore, using network graph analyses, we show that the extended set of norms provides novel, reliable results given their enhanced coverage. [ABSTRACT FROM AUTHOR]

Automated mental retardation (MR) assessment is potential for improving the diagnostic efficiency and objectivity in clinical practice. Based on the researches on abnormal behavior characteristics of patients with MR, we propose an extension and supplement shift multi-scale G3D (ESS MS-G3D) network for video-based assessment of MR. Specifically, all videos are collected from clinical diagnostic scenarios and the skeleton sequence of human body is extracted from videos through an advanced pose estimation model. To solve the shortcomings of existing behavior characteristic learning methods, we present: (1) three G3D styles, enable the network to have different input forms; (2) two G3D graphs and two extension graphs, redefine and extend the graph structure of spatial–temporal nodes; (3) two learnable parameters, realize adaptive adjustment of graph structure; (4) a shift layer, enable the network to learn global features. Finally, we construct a three-branch model ESS MS-STGC, which can capture the discriminative spatial–temporal features and explore the co-occurrence relationship between spatial and temporal domains. Experiments in clinical video data set show that our proposed model has good performance in MR assessment and is superior to the existing vision-based methods. In two-classification task, our model with joint stream achieves the highest accuracy of 94.63 % in validation set and 89.13 % in test set. The results are further improved to 96.52 % and 93.22 % , respectively, by utilizing multi-stream fusion strategy. In four-classification task, our model obtains Top1 accuracy of 78.84 % and Top2 accuracy of 91.34 % in test set. The proposed method provides a new idea for clinical mental retardation assessment. [ABSTRACT FROM AUTHOR]

A flexible drilling tool is a special drilling tool for ultrashort-radius radial horizontal wells. This tool is composed of many parts and has the characteristics of a multibody system. In this paper, a numerical method for the dynamic analysis of flexible drilling tools is proposed. The flexible drill tool is discretized into spatial beam elements, while the multilayer contact of the flexible drilling tool is represented by the multilayer dynamic gap element, and the dynamic model of the multibody system for the flexible drilling tool's multilayer contact is established, considering the interaction force between the drill bit and the rock. The nonlinear dynamic equation is solved using the Newmark method and Newton–Raphson method. An analysis of the dynamic behavior of a flexible drilling tool is conducted. The results indicate that the flexible drilling tool experiences vortex formation due to the interaction between the flexible drilling pipe and the guide pipe, leading to increased friction and wear. This situation hinders safe drilling operations with flexible drilling tools. The collision force of the flexible drilling tool near the bottom of the hole is more severe than that of the other tool types, which may lead to failure of the connection. [ABSTRACT FROM AUTHOR]

To provide context surrounding the history of single-case research and to act as a benchmark for which future changes across the fields and disciplines that use single-case methods may be compared, we conducted this study to serve as an update and extension on the trends and prevalence of single-case research in the peer-reviewed literature. Our analytical sample was derived from 20 peer-reviewed journals over a 40-year timespan. Results indicate that since 1978, approximately one in six publications within our examined body of research employed a single-case research design. Exploratory moderator analyses revealed that a journal's focus on behavior analytic research, and a journal's impact factor moderated the prevalence of single-case publications within a journal. We discuss our findings in relation to prior studies examining the prevalence and trends of single-case research and future directions for single-case researchers to improve the quality, value, and understanding of single-case methodology (https://osf.io/fns3m/). [ABSTRACT FROM AUTHOR]

Anonymous web-based experiments are increasingly used in many domains of behavioral research. However, online studies of auditory perception, especially of psychoacoustic phenomena pertaining to low-level sensory processing, are challenging because of limited available control of the acoustics, and the inability to perform audiometry to confirm normal-hearing status of participants. Here, we outline our approach to mitigate these challenges and validate our procedures by comparing web-based measurements to lab-based data on a range of classic psychoacoustic tasks. Individual tasks were created using jsPsych, an open-source JavaScript front-end library. Dynamic sequences of psychoacoustic tasks were implemented using Django, an open-source library for web applications, and combined with consent pages, questionnaires, and debriefing pages. Subjects were recruited via Prolific, a subject recruitment platform for web-based studies. Guided by a meta-analysis of lab-based data, we developed and validated a screening procedure to select participants for (putative) normal-hearing status based on their responses in a suprathreshold task and a survey. Headphone use was standardized by supplementing procedures from prior literature with a binaural hearing task. Individuals meeting all criteria were re-invited to complete a range of classic psychoacoustic tasks. For the re-invited participants, absolute thresholds were in excellent agreement with lab-based data for fundamental frequency discrimination, gap detection, and sensitivity to interaural time delay and level difference. Furthermore, word identification scores, consonant confusion patterns, and co-modulation masking release effect also matched lab-based studies. Our results suggest that web-based psychoacoustics is a viable complement to lab-based research. Source code for our infrastructure is provided. [ABSTRACT FROM AUTHOR]

Research from the last four decades suggests that fairness plays an important role in economic transactions. However, the vast majority of this research investigates behavior in an environment where agents are fully informed. We develop a new experimental paradigm—nesting the widely used ultimatum game—and find that fairness has less impact on outcomes when agents are less informed. As we remove information, offers become less generous and unfair offers are more likely to be accepted. [ABSTRACT FROM AUTHOR]

The current study adds to a growing body of behavioral research aimed at learning about changes in behavior over time. In this proof-of-concept study, functional analyses were conducted every 6–8 weeks with eight children diagnosed with ASD receiving early intervention services at a community-based clinic. The goal of this study was to develop a method for assessing participants' general sensitivity to common reinforcement contingencies and relative response allocation to problem and appropriate behavior across time. To accomplish this, we reinforced the first instance of either problem behavior or appropriate behavior during functional analyses. Reinforcing appropriate behavior allowed us to fulfill the goals of this study while avoiding deleterious effects on ongoing clinical treatment and ethical concerns about repeatedly exposing participants to assessment contexts that favor problem behavior. The clinical utility of the described approach and avenues for future research are discussed. [ABSTRACT FROM AUTHOR]

Observers adopt attentional control settings (ACSs) based on their goals that guide the capture of attention: Searched-for stimuli capture attention, and stimuli that are not searched for do not. While previous behavioural research indicates that observers can adopt long-term memory (LTM) ACSs (Giammarco et al. Visual Cognition,24, 78–101, 2016), it seems surprising that representations in LTM could guide attention quickly enough to control attentional capture. To assess the claim that LTM ACSs exert control over early attentional orienting, we recorded electroencephalography while participants studied and searched for 30 target objects in an attention cueing task. Participants reported the studied target and ignored the preceding cues. To control for perceptual evoked responses, on each trial we presented two cue objects (one studied and one nonstudied). Even though participants were instructed to ignore the cues, studied cues produced the N2pc event-related potential, indicating early attentional orienting that was preferentially directed towards the studied cue versus the nonstudied cue. Critically, the N2pc was detectable within 170 ms, confirming that LTM ACSs rapidly control early capture. We propose an update to contemporary models of attentional capture to account for rapid attentional guidance by LTM ACSs. [ABSTRACT FROM AUTHOR]

Cement mortar-expanded precast (CMEP) piles comprise a new class of expansion pile technology. To reveal their vertical bearing properties, full-scale research on the bearing performance of expanded piles under different pile top pressure modes and pre-bored conditions has been carried out. Test results have shown that pile top pressure mode had little effect on the bearing performance of expanded precast piles, but significantly affected internal load transfer mechanism. When internal precast pile was under pressure alone, the axial force of inner precast pile was relatively high. When the full section of pile top was loaded, precast pile axial force was reduced by about 20–50%. Furthermore, different pre-bored conditions could cause different pile end support conditions, significantly impacting the performance of expanded pile bearing. The ultimate bearing capacity of expansion piles with super core (SC) pile, equal core (EC) pile and less core (LC) pile were 1200, 880 and 906 kN, respectively. However, all three expanded pile types had about 12% higher bearing capacity than conventional strong composite piles. The failure modes of all test piles under ultimate load were overall subsidence, indicating that the shear capacity of the interface between inner precast pile and outer cement mortar was greater than shear action between outer cement mortar and surrounding soil. When the strength of outer grouting material was greater than 15 MPa, the interface damage of inner precast pile and outer material may not be considered. [ABSTRACT FROM AUTHOR]

Yawning is undeniably contagious and hard to resist. Interestingly, in our species, even the mere sound of a yawn can trigger this contagious response, especially when the yawner is someone familiar. Together with humans, one other mammal species is known to produce loud and distinct vocalisations while yawning, Theropithecus gelada. Geladas are known for their complex social interactions and rich vocal communication, making them intriguing subjects for studying yawning behaviour. To explore the contagious effect of yawn sounds on geladas, we conducted playback experiments in a zoo-housed colony with animals living in two groups. We exposed them to yawn sounds (Test) or affiliative grunts (Control) produced by males from either their own group or the other one. The results were remarkable, as simply hearing yawn sounds led to yawn contagion in geladas, with multiple responses observed when the yawns came from members of their own group. This finding adds a significant contribution to the research on mimicry and behavioural contagion in primates. Moreover, it raises intriguing questions about the involvement of sensory modalities beyond visual perception in these phenomena. [ABSTRACT FROM AUTHOR]

Undergraduate research experiences are crucial for fostering the next generation of behavior genetics researchers. However, incorporating undergraduates into research can be challenging for faculty mentors. In this article, we provide strategies for successfully integrating undergraduates into behavior genetics research based on our experiences mentoring undergraduates in our lab. These strategies include: (1) Practicing reflexivity, specifically an ongoing self-examination and critical self-awareness of personal biases, beliefs, and practices; (2) Implementing an Inclusion, Diversity, Equity, and Access (IDEA) centered approach; (3) empowering students through clear expectations; (4) Providing focused training and mentorship; (5) Aligning research projects with student interests; (6) Assigning meaningful tasks; and (7) Facilitating professional development opportunities. By following these strategies, faculty mentors can cultivate a supportive and inclusive research environment that empowers undergraduates for successful careers in behavior genetics research. [ABSTRACT FROM AUTHOR]

Extremist far-right ideologies, including scientifically inaccurate beliefs about race, are on the rise (Mieriņa and Koroļeva 2015; Youngblood 2020); individuals perpetuating such ideologies occasionally cite genetics research, including behavioral genetics research. This highlights the need for behavioral geneticists to actively confront extremist ideology and promote anti-racism. We emphasize the need for Diversity, Equity and Inclusion (DEI) committees within behavioral genetics institutions. DEI committees can lead to: greater awareness of ways in which behavioral genetics has been misused (historically and currently) to harm minoritized communities, increased discussions on conducting ethical behavioral genetics research, and increased collaboration for conducting more diverse behavioral genetics research. We discuss the activities and goals of the student-driven DEI committee at the Institute for Behavior Genetics (IBG). At the same time, we acknowledge we have a long way to go, both as a committee and as a field. Our committee is still in its early stages; we discuss challenges to increasing DEI in the field and present future goals for both IBG and the behavioral genetics community as we explore the process of implementing DEI work. [ABSTRACT FROM AUTHOR]

Approaching rewards and avoiding punishments is a fundamental aspect of behavior, yet individuals differ in the extent of these behavioral tendencies. One popular method to assess differences in approach-avoidance tendencies and even modify them, is using behavioral tasks in which spontaneous responses to differently valenced stimuli are assessed (e.g., the visual joystick and the manikin task). Understanding whether these reaction-time-based tasks map onto the same underlying constructs, how they predict interindividual differences in theoretically related constructs and how reliable they are, seems vital to make informed judgements about current findings and future studies. In this preregistered study, 168 participants (81 self-identified men, 87 women) completed emotional face versions of these tasks as well as an alternative, foraging-based paradigm, the approach-avoidance-conflict task, and answered self-report questionnaires regarding anxiety, aggression, depressive symptoms, behavioral inhibition and activation. Importantly, approach-avoidance outcome measures of the two reaction-time-based tasks were unrelated with each other, showed little relation to self-reported interindividual differences and had subpar internal consistencies. In contrast, the approach-avoidance-conflict task was related to behavioral inhibition and aggression, and had good internal consistencies. Our study highlights the need for more research into optimizing behavioral approach-avoidance measures when using task-based approach-avoidance measures to assess interindividual differences. [ABSTRACT FROM AUTHOR]

The migration of Twitter users to Mastodon following Elon Musk's acquisition presents a unique opportunity to study collective behavior and gain insights into the drivers of coordinated behavior in online media. We analyzed the social network and the public conversations of about 75,000 migrated users and observed that the temporal trace of their migrations is compatible with a phenomenon of social influence, as described by a compartmental epidemic model of information diffusion. Drawing from prior research on behavioral change, we delved into the factors that account for variations of the effectiveness of the influence process across different Twitter communities. Communities in which the influence process unfolded more rapidly exhibit lower density of social connections, higher levels of signaled commitment to migrating, and more emphasis on shared identity and exchange of factual knowledge in the community discussion. These factors account collectively for 57% of the variance in the observed data. Our results highlight the joint importance of network structure, commitment, and psycho-linguistic aspects of social interactions in characterizing grassroots collective action, and contribute to deepen our understanding of the mechanisms that drive processes of behavior change of online groups. [ABSTRACT FROM AUTHOR]

Behavioral traits in dogs are assessed for a wide range of purposes such as determining selection for breeding, chance of being adopted or prediction of working aptitude. Most methods for assessing behavioral traits are questionnaire or observation-based, requiring significant amounts of time, effort and expertise. In addition, these methods might be also susceptible to subjectivity and bias, negatively impacting their reliability. In this study, we proposed an automated computational approach that may provide a more objective, robust and resource-efficient alternative to current solutions. Using part of a 'Stranger Test' protocol, we tested n = 53 dogs for their response to the presence and neutral actions of a stranger. Dog coping styles were scored by three dog behavior experts. Moreover, data were collected from their owners/trainers using the Canine Behavioral Assessment and Research Questionnaire (C-BARQ). An unsupervised clustering of the dogs' trajectories revealed two main clusters showing a significant difference in the stranger-directed fear C-BARQ category, as well as a good separation between (sufficiently) relaxed dogs and dogs with excessive behaviors towards strangers based on expert scoring. Based on the clustering, we obtained a machine learning classifier for expert scoring of coping styles towards strangers, which reached an accuracy of 78%. We also obtained a regression model predicting C-BARQ scores with varying performance, the best being Owner-Directed Aggression (with a mean average error of 0.108) and Excitability (with a mean square error of 0.032). This case study demonstrates a novel paradigm of 'machine-based' dog behavioral assessment, highlighting the value and great promise of AI in this context. [ABSTRACT FROM AUTHOR]

Depression is a widespread and debilitating disorder, but developing effective treatments has proven challenging. Despite success in animal models, many treatments fail in human trials. While various factors contribute to this translational failure, standardization practices in animal research are often overlooked. This paper argues that certain standardization choices in behavioral neuroscience research on depression can limit the generalizability of results from rodents to humans. This raises ethical and scientific concerns, including animal waste and a lack of progress in treating human patients. To address these issues, animal ethics committees can establish reasonable expectations for preclinical research and highlight the impact of standardization on generalizability. Such efforts can help improve translation from animal models to human patients and ultimately benefit those suffering from depression. [ABSTRACT FROM AUTHOR]

Rationale: MK-801 (dizocilpine) is a non-competitive NMDA receptor antagonist originally explored for anticonvulsant potential. Despite its original purpose, its amnestic properties led to the development of pivotal models of various cognitive impairments widely employed in research and greatly impacting scientific progress. MK-801 offers several advantages; however, it also presents drawbacks, including inducing dose-dependent hyperlocomotion or ambiguous effects on anxiety, which can impact the interpretation of behavioral research results. Objectives: The present review attempts to summarize and discuss the effects of MK-801 on different types of memory and cognitive functions in animal studies. Results: A plethora of behavioral research suggests that MK-801 can detrimentally impact cognitive functions. The specific effect of this compound is influenced by variables including developmental stage, gender, species, strain, and, crucially, the administered dose. Notably, when considering the undesirable effects of MK-801, doses up to 0.1 mg/kg were found not to induce stereotypy or hyperlocomotion. Conclusion: Dizocilpine continues to be of significant importance in preclinical research, facilitating the exploration of various procognitive therapeutic agents. However, given its potential undesirable effects, it is imperative to meticulously determine the appropriate dosages and conduct supplementary evaluations for any undesirable outcomes, which could complicate the interpretation of the findings. [ABSTRACT FROM AUTHOR]

The outcome of an action often occurs after a delay. One solution for learning appropriate actions from delayed outcomes is to rely on a chain of state transitions. Another solution, which does not rest on state transitions, is to use an eligibility trace (ET) that directly bridges a current outcome and multiple past actions via transient memories. Previous studies revealed that humans (Homo sapiens) learned appropriate actions in a behavioral task in which solutions based on the ET were effective but transition-based solutions were ineffective. This suggests that ET may be used in human learning systems. However, no studies have examined nonhuman animals with an equivalent behavioral task. We designed a task for nonhuman animals following a previous human study. In each trial, participants chose one of two stimuli that were randomly selected from three stimulus types: a stimulus associated with a food reward delivered immediately, a stimulus associated with a reward delivered after a few trials, and a stimulus associated with no reward. The presented stimuli did not vary according to the participants' choices. To maximize the total reward, participants had to learn the value of the stimulus associated with a delayed reward. Five chimpanzees (Pan troglodytes) performed the task using a touchscreen. Two chimpanzees were able to learn successfully, indicating that learning mechanisms that do not depend on state transitions were involved in the learning processes. The current study extends previous ET research by proposing a behavioral task and providing empirical data from chimpanzees. [ABSTRACT FROM AUTHOR]

To understand human behavior, social scientists need people and data. In the last decade, Amazon's Mechanical Turk (MTurk) emerged as a flexible, affordable, and reliable source of human participants and was widely adopted by academics. Yet despite MTurk's utility, some have questioned whether researchers should continue using the platform on ethical grounds. The brunt of their concern is that people on MTurk are financially insecure, subject to abuse, and earn inhumane wages. We investigated these issues with two representative probability surveys of the U.S. MTurk population (N = 4094). The surveys revealed: (1) the financial situation of people on MTurk mirrors the general population, (2) most participants do not find MTurk stressful or requesters abusive, and (3) MTurk offers flexibility and benefits that most people value above other options for work. People reported it is possible to earn more than $10 per hour and said they would not trade the flexibility of MTurk for less than $25 per hour. Altogether, our data are important for assessing whether MTurk is an ethical place for research. [ABSTRACT FROM AUTHOR]

Having large sets of predictor variables from multiple sources concerning the same individuals is becoming increasingly common in behavioral research. On top of the variable selection problem, predicting a categorical outcome using such data gives rise to an additional challenge of identifying the processes at play underneath the predictors. These processes are of particular interest in the setting of multi-source data because they can either be associated individually with a single data source or jointly with multiple sources. Although many methods have addressed the classification problem in high dimensionality, the additional challenge of distinguishing such underlying predictor processes from multi-source data has not received sufficient attention. To this end, we propose the method of Sparse Common and Distinctive Covariates Logistic Regression (SCD-Cov-logR). The method is a multi-source extension of principal covariates regression that combines with generalized linear modeling framework to allow classification of a categorical outcome. In a simulation study, SCD-Cov-logR resulted in outperformance compared to related methods commonly used in behavioral sciences. We also demonstrate the practical usage of the method under an empirical dataset. [ABSTRACT FROM AUTHOR]

This correction notice addresses a technical error in the second phase of data collection in a study by Growns et al. The error affected the reported relationship between the Novel Object-Matching Test (NOM test) and a measure of divergent validity. The re-analyzed results, accounting for the error, show that the overall conclusions and psychometric properties of the NOM test remain unchanged. The correction provides further insight into the cognitive mechanisms underlying visual comparison and highlights the association between fluid visual intelligence and object-matching ability. The NOM test is found to be a reliable measure of object-matching, distinct from other psychological processes. [Extracted from the article]