Top 10 Psyarxiv Papers Today in Social And Behavioral Sciences


2.071 Mikeys
#1. Measurement Schmeasurement: Questionable Measurement Practices and How to Avoid Them
Jessica Kay Flake, Eiko I. Fried
In this paper we define questionable measurement practices as decisions researchers make that leave questions about the measures in a study unanswered. This makes it impossible to evaluate a wide range of potential validity threats to the study’s conclusions. We demonstrate that psychology is plagued by a measurement schmeasurement attitude: QMPs are common, offer a stunning source of researcher degrees of freedom, pose a serious threat to cumulative psychological science, but are largely ignored. We address these challenges by providing a set of questions that researchers and consumers of scientific research can consider to identify and avoid QMPs. Transparent answers to these measurement questions promote rigorous research, allow for thorough evaluations of a study’s inferences, and are necessary for meaningful replication studies.
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BrianNosek: Preprint: "we define questionable measurement practices as decisions researchers make that leave questions about the measures in a study unanswered. This makes it impossible to evaluate a wide range of potential validity threats to the study’s conclusion" https://t.co/aUMeUtSyc4
EikoFried: I had planned to announce our new 'Measurement Schmeasurement' preprint, but got scooped by my 🤖 buddy, the all-knowing @PsyArXivBot. So instead, I'll summarize what led @JkayFlake & me to write this paper. THREAD (measurement🖤story + resources) https://t.co/MXE0FFMjAp
jpeelle: I LOVE this title! Measurement Schmeasurement: Questionable Measurement Practices and How to Avoid Them by @JkayFlake & @EikoFried https://t.co/ukvhbkbB6Y
jvrbntz: “The crucial point we want to underscore here is that the measures in a study threaten validity in a manner that reaches beyond analytical flexibility because the validity of the measures themselves directly influence the veracity of a study’s conclusion.” https://t.co/FvRQzTFCp8
ProfGaelle: PsyArXiv Preprints | Measurement Schmeasurement: Questionable Measurement Practices and How to Avoid Them - A good read for OccPsy students using scales in their research ⁦@StephenGourlay2⁩ ⁦@OccPsychKU⁩ ⁦@aFrenchparadox⁩ https://t.co/q68UHGWEHc
westwoodsam1: ⁦@Sam_D_Parsons⁩ I remember you mentioning this quite a lot in the workshop. Might be of interest! https://t.co/70nq8v5T0U
enemiesnet: Measurement Schmeasurement: Questionable Measurement Practices and How to Avoid Them https://t.co/MNP167myaM via @OSFramework
LJTPedersen: Measurement Schmeasurement: Questionable Measurement Practices and How to Avoid Them: https://t.co/fh3z0VnRvZ
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Hearing4Kids: RT briandavidearp: RT BrianNosek: Preprint: "we define questionable measurement practices as decisions researchers make that leave questions about the measures in a study unanswered. This makes it impossible to evaluate a wide range of potential validity… https://t.co/gfIwSmZvaA
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2.054 Mikeys
#2. Psychological Networks in Clinical Populations: A tutorial on the consequences of Berkson's Bias
Jill de Ron, Eiko I. Fried, Sacha Epskamp
In clinical research, populations are often selected on the sum-score of diagnostic criteria, i.e. symptoms. Estimating statistical models where a subset of the data is selected based on a function of the analyzed variables introduces Berkson’s bias, which presents a potential threat to the validity of findings in the clinical literature. The aim of the present paper is to investigate the effect of Berkson’s bias on the performance of the two most commonly used psychological network models, the Gaussian Graphical Model (GGM) for continuous and ordinal data, and the Ising Model for binary data. In two simulation studies, we test how well the models perform in recovering the true network when estimation is based on a subset of the data typically seen in clinical studies. The selection of data varies with respect to sample size and the cut-off sum-score of the analyzed variables. Recovery performance is established via three metrics: correlation, sensitivity, and specificity. In addition, the density and the amount of spurious...
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2.01 Mikeys
#3. Removing hand information specifically impairs emotion recognition for fearful and angry body stimuli
Paddy Ross, Tessa Flack
Emotion perception research has largely been dominated by work on facial expressions, but emotion is also strongly conveyed from the body. Research exploring emotion recognition from the body tends to refer to ‘the body’ as a whole entity. However, the body is made up of different components (hands, arms, trunk etc.), all of which could be differentially contributing to emotion recognition. We know that the hands can convey action, and in particular are important for social communication through gestures, but we currently do not know to what extent the hands influence emotion recognition from ‘the body’. Here, 93 adults viewed static emotional body stimuli with either the hands, arms, or both components removed and completed a forced-choice emotion recognition task. Removing the hands significantly reduced recognition accuracy for fear and anger, but made no significant difference to the recognition of happiness and sadness. Removing the arms had no effect on emotion recognition accuracy compared to the full-body stimuli. ...
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DegenRolf: It becomes more difficult to recognize the emotions of fear and anger in others if you cannot see their hands. https://t.co/V4qxXVrhCV https://t.co/gKaV04SZgQ
PaddyRoss1: New @PsyArXiv pre-print of work done at @DurhamPsych with @tessa_flack showing that: Removing hand information specifically impairs emotion recognition for fearful and angry body stimuli https://t.co/stj1wCbLBV Feedback and comments very welcome before we resubmit!
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2.008 Mikeys
#4. Prediction of a Rise in Antisocial Personality Disorder through Cross - Generational Analysis
Shannon Fernandes
Psychopathy, in its literal sense, is a dangerous disorder. It exhibits antisocial behavior, inclusive of rage or aggression, fantasy, etc. The current psychopath population is 1%, but this paper puts forth the probability of an increase in the current population. No individual scores a zero on the Levenson scale, and that in itself shows the innate harsh tendencies of the individual, hidden behind the social norms and good values, however, this paper shows how those could be affected and cause the individual to rank higher on the APD scale (given below), resulting in undesired antisocial behavior or the potential behavior. In this paper, we have taken the scores of the different generations (gen x, millennials, and gen z) to outline the statistical change in the scores to predict an estimate. This paper, through the different variables and the statistics, deduces an increase in the APD population to be a likely one in the future to come through theoretical prediction.
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2.005 Mikeys
#5. No clear advantage for high variability training during voice identity learning
Nadine Lavan, Sarah Knight, Valerie Hazan, Carolyn McGettigan
High variability training has been shown to benefit the learning of new face identities. In two experiments, we investigated whether this is also the case for voice identity learning. In Experiment 1, we contrasted high variability training sets including stimuli extracted from a number of different recording sessions, speaking environments and speaking style with low variability stimulus sets that only included a single speaking style (read speech) extracted from one recording session (see Ritchie & Burton, 2017 for faces). In Experiment 2, variability was manipulated in terms of the number of unique items as opposed to number of unique speaking contexts/styles. Here, we contrasted the high variability training sets used in Experiment 1 with low variability training sets that included the same breadth of contexts/styles, but fewer unique items; instead, individual items were repeated (see Murphy, Ipser, Gaigg & Cook, 2015 for faces). For both studies, listeners were trained on 4 voice identities (2 identities through high...
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nadinelavan: And we've got a new preprint! "No clear advantage for high variability training during voice identity learning" with @s_l_knight, @ValerieHazan and @c_mcgettigan. https://t.co/7hO4LvdTI1
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2.005 Mikeys
#6. Category Learning can alter perception and its neural correlates.
Fernanda Pérez Gay Juárez, Tomy Sicotte, Christian Thériault, Stevan Harnad
Learned Categorical Perception (CP) occurs when the members of different categories come to look more dissimilar (“between-category separation”) and/or members of the same category come to look more similar (“within-category compression”) after a new category has been learned. To measure learned CP and its physiological correlates we compared dissimilarity judgments and Event Related Potentials (ERPs) before and after learning to sort multi-featured visual textures into two categories by trial and error with corrective feedback. With the same number of training trials and feedback, about half the participants succeeded in learning the categories (“learners”: criterion 80% accuracy) and the rest did not (“non-learners”). At both lower and higher levels of difficulty, successful learners showed significant between-category separation in pairwise dissimilarity judgments after learning compared to before; their late parietal ERP positivity (LPC, usually interpreted as decisional) also increased and their occipital negativity (N1)...
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fhernandhah: The new version of our pre-print of the Neural Correlates of Learned Categorical Perception is up in @PsyArXiv ! // ¡La última versión de nuestro artículo de Percepción Categórica aprendida ya está en PsyArxiv! https://t.co/h4nIibGwEH
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2.004 Mikeys
#7. Purpose in life is associated with health outcomes among diabetic adults
Sara J. Weston, Patrick Hill, Dan Mroczek
Objective: Health complications as a result of diabetes place major financial strain on individuals, financially and emotionally. The onset and severity of these complications is largely driven by patients’ behaviors, making psychosocial factors that influence behaviors key targets for interventions. One promising factor is sense of purpose, or the degree to which a person believes their life has meaning. Methods: Coordinated analysis using 12 datasets cross-sectionally and eight longitudinally (total N = 63,307) estimated the degree to which sense of purpose is associated with smoking, subjective health, and cardiovascular disease among diabetic adults. In addition, effect sizes for diabetic adults was compared to samples of non-diabetic adults, estimating whether the relationship of purpose to health is tempered by the presence of diabetes. Coordinated analysis allows for greater generalizability of results across cultures, time periods, and measurement instruments. Results: Sense of purpose was associated with higher...
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2.004 Mikeys
#8. Extinction Reveals the Episodic Nature of Pavlovian Conditioning
Justin Harris
Many theories of conditioning describe learning as a process by which stored information about the relationship between a conditioned stimulus (CS) and unconditioned stimulus (US) is progressively updated upon each occasion that the CS occurs with, or without, the US. These simple trial-based descriptions can provide a powerful and efficient means of extracting information about the correlation between two events, but they fail to explain how animals learn about the timing of events. This failure has motivated models of conditioning in which animals learn continuously, either by explicitly representing temporal intervals between events, or by sequentially updating an array of associations between temporally distributed elements of the CS and US. Here, I review evidence that some aspects of conditioning are not the consequence of a continuous learning process but reflect a trial-based process. In particular, the way that animals learn about the absence of a predicted US during extinction suggests that they encode and remember these...
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2.001 Mikeys
#9. Joint action with iCub: a successful adaptation of a paradigm of cognitive neuroscience in HRI
Jairo Perez-Osorio, Davide De Tommaso, Ebru Baykara, Agnieszka Wykowska
Robots will soon enter social environments shared with humans. We need robots that are able to efficiently convey social signals during interactions. At the same time, we need to understand the impact of robots’ behavior on the human brain. For this purpose, human behavioral and neural responses to the robot behavior should be quantified offering feedback on how to improve and adjust robot behavior. Under this premise, our approach is to use methods of experimental psychology and cognitive neuroscience to assess the human’s reception of a robot in human-robot interaction protocols. As an example of this approach, we report an adaptation of a classical paradigm of experimental cognitive psychology to a naturalistic human- robot interaction scenario. We show the feasibility of such an approach with a validation pilot study, which demonstrated that our design yielded a similar pattern of data to what has been previously observed in experiments within the area of cognitive psychology. Our approach allows for addressing specific...
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2.001 Mikeys
#10. Network analyses reveal which symptoms improve (or not) following an Internet intervention (Deprexis) for depression
Michael C Mullarkey, Aliza Stein, Rahel Pearson, Christopher G Beevers
Background: Depression is a heterogeneous collection of symptoms. Prior meta-analyses using symptom sum scores have shown the Internet intervention, Deprexis, to be an efficacious treatment for depression. However, no prior research has investigated how Deprexis (or any other Internet intervention for depression) impacts specific symptoms of depression. The current study utilizes symptom-level analyses to examine which symptoms are directly, indirectly, or minimally influenced by treatment. Methods: Network analysis and mean-level approaches examined which symptoms, assessed by the Quick Inventory of Depression Symptoms (QIDS-SR), were affected by an 8-week course of Deprexis compared to a waitlist in a nationally recruited United States sample (N = 295). Results: Deprexis directly improved the symptoms of sadness and indecision. Change in these symptoms, in turn, were associated with change in self-dislike, fatigue, anhedonia, suicidality, slowness, and agitation. All of these symptoms (except for agitation) show decreases...
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mcmullarkey: New preprint from @cgbeevers, Aliza Stein, Rahel Pearson, and me! Does an effective, internet-based treatment for depression improve all symptoms equally? Nope! Also includes direct vs. indirect symptom targeting, cross-validation, and raincloud plots https://t.co/9vUxL2yPSB https://t.co/FdVHxLA8Ze
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Assert is a website where the best academic papers on arXiv (computer science, math, physics), bioRxiv (biology), BITSS (reproducibility), EarthArXiv (earth science), engrXiv (engineering), LawArXiv (law), PsyArXiv (psychology), SocArXiv (social science), and SportRxiv (sport research) bubble to the top each day.

Papers are scored (in real-time) based on how verifiable they are (as determined by their Github repos) and how interesting they are (based on Twitter).

To see top papers, follow us on twitter @assertpub_ (arXiv), @assert_pub (bioRxiv), and @assertpub_dev (everything else).

To see beautiful figures extracted from papers, follow us on Instagram.

Tracking 72,893 papers.

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Tracking 72,893 papers.