Faith A Delle, Gary Bente, Nolan Jahn, Juncheng Wu
{"title":"Watching movies in VR: A research ecosystem for the study of screen media effects.","authors":"Faith A Delle, Gary Bente, Nolan Jahn, Juncheng Wu","doi":"10.3758/s13428-025-02750-y","DOIUrl":"10.3758/s13428-025-02750-y","url":null,"abstract":"<p><p>We introduce a virtual reality (VR) research ecosystem for the study of screen media effects and present a study providing evidence for its usability and validity. The study tested whether responses to affect-laden films presented on a standard TV within a physical space can be replicated in a virtual environment. The virtual setting was developed using Vizard 7.0, an open-access and customizable solution for media research. Using a between-subjects design, 70 participants were randomly assigned to either a TV or VR condition. Both groups were exposed to the same set of nine movie clips, encompassing three emotional categories (scary, funny, sad). While participants in the TV condition watched the clips on a physical 65″ TV, participants in the VR condition watched the clips on a virtual screen in the VR living room using a Meta Quest 2 VR headset. Continuous ratings of perceived emotional intensity and physiological measures of arousal (skin conductance level, heart rate, pulse volume amplitude) served as dependent variables. Overall, results confirmed the convergent validity between the two experimental conditions, revealing high correlations for all process variables across all stimuli. Results also demonstrated distinct responses to the clips of different emotional tones that were consistent across the experimental conditions. The findings encourage the use of VR for the study of screen media effects, demonstrating convergent validity with real-world scenarios while offering significant advantages, such as standardization and portability of the experimental setup as well as high levels of experimental control over reception setting variables.</p>","PeriodicalId":8717,"journal":{"name":"Behavior Research Methods","volume":"57 9","pages":"238"},"PeriodicalIF":3.9,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12296782/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144726981","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Information-theoretic measures for mapping regularities between orthography and phonology: A comprehensive quantification and validation in the Chinese writing system.","authors":"Zhe Xiao, Huimin Xiao, Caihua Xu","doi":"10.3758/s13428-025-02721-3","DOIUrl":"10.3758/s13428-025-02721-3","url":null,"abstract":"<p><p>Information theory has been widely applied to quantify mapping regularities between orthography and phonology in alphabetic writing systems. However, their applicability to the Chinese writing system-marked by distinct mapping characteristics-remains underexplored. This study presents a comprehensive quantification of mapping regularities in the Chinese writing system using information-theoretic measures and validates their effectiveness. We first compute three core measures-entropy, surprisal, and information gain-across multiple dimensions: mapping direction (orthography-to-phonology vs. phonology-to-orthography), frequency type (type vs. token frequency), and grain size (tonal vs. base syllable; direct vs. fundamental phonetic radical), followed by an assessment of overall system uncertainty using entropy. Second, we demonstrate the ability of information-theoretic measures to predict Chinese reading performance using a large-scale Chinese naming dataset. Third, we show that these measures capture unique aspects of character variability in naming performance not accounted for by traditional measures (i.e., regularity and consistency). Finally, by comparing information-theoretic measures across different mapping directions, frequency data types, and grain sizes, we highlight their flexibility in capturing unique aspects of character variability in naming performance. Critically, these findings hold across both a self-compiled database and an external corpus featuring a substantially larger token pool, underscoring the robustness and generalizability of these measures. In sum, we emphasize the effectiveness and adaptability of information-theoretic measures in capturing mapping regularities in a writing system that is notably distinct from alphabetic systems, and we discuss their promising applications for advancing psychological and linguistic research.</p>","PeriodicalId":8717,"journal":{"name":"Behavior Research Methods","volume":"57 9","pages":"232"},"PeriodicalIF":3.9,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144706119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Martijn Schoenmakers, Jesper Tijmstra, Jeroen Vermunt, Maria Bolsinova
{"title":"Posterior predictive checks for the detection of extreme response style.","authors":"Martijn Schoenmakers, Jesper Tijmstra, Jeroen Vermunt, Maria Bolsinova","doi":"10.3758/s13428-025-02756-6","DOIUrl":"10.3758/s13428-025-02756-6","url":null,"abstract":"<p><p>Extreme response style (ERS), the tendency of participants to select extreme item categories regardless of the item content, has frequently been found to decrease the validity of Likert-type questionnaire results (e.g., Moors, European Journal of Work and Organizational Psychology, 21, 271-298, 2012). For this reason, detecting ERS at both the group and individual levels is of paramount importance. While various approaches to detecting ERS exist, these may conflate ERS with the trait of interest, require additional questionnaires to be administered, or require the use of mixture or multidimensional IRT models. As an alternative approach to detecting ERS, Bayesian posterior predictive checks (PPCs) may be a viable option. Posterior predictive checking offers a highly customizable framework for detecting model misfit, which can be directly applied to frequently used unidimensional IRT models. Critically, the use of PPCs to detect ERS does not require strong assumptions regarding the nature of ERS, such as ERS being a continuous dimension or a categorical trait. In this paper, we thus apply PPCs to a generalized partial credit model to detect model misfit related to ERS on both the group and person levels. We propose various possible PPCs tailored to ERS, which are illustrated in an empirical example, and their performance in detecting ERS is examined under various conditions. Suggestions for practical applications are provided, and avenues for future research are explored.</p>","PeriodicalId":8717,"journal":{"name":"Behavior Research Methods","volume":"57 9","pages":"234"},"PeriodicalIF":3.9,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12296979/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144717298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An extended Chinese social evaluative word list.","authors":"Lulu Li, Qingrong Chen, Hu Chuan-Peng","doi":"10.3758/s13428-025-02760-w","DOIUrl":"10.3758/s13428-025-02760-w","url":null,"abstract":"<p><p>Social evaluation, i.e., people's views of self, others, and groups, is ubiquitous and embedded in our language. In turn, social evaluative words are used intensively in studies of human social evaluation. However, standardized Chinese word lists for social evaluation are under-developed; the only available word lists are based on the big-two model of social evaluation (i.e., agency and warmth) and cover small numbers of words. To fill the gap, we conducted a survey with a relatively large sample (n = 1,270, 50% female) and a large number of words (1,908) that might describe extended social evaluative dimensions: appearance, socioeconomic status, sociability, competence, and morality. The participants rated the extent to which each word described a certain social evaluation dimension and how positive/negative each word was. Based on this dataset, we selected words that dominantly describe one of the five dimensions. The final word list has 1,040 words, including 245 appearance words (143 positive, 11 neutral, 91 negative), 108 socioeconomic status words (36 positive, 2 neutral, 70 negative), 93 sociability words (53 positive, 5 neutral, 35 negative), 261 competence words (185 positive, 4 neutral, 72 negative), and 333 morality words (149 positive, 1 neutral, 183 negative). This word list provides an extended Chinese social evaluative word list and will serve as a useful resource for researchers in social psychology, linguistics, sociology, and computational social science.</p>","PeriodicalId":8717,"journal":{"name":"Behavior Research Methods","volume":"57 9","pages":"236"},"PeriodicalIF":3.9,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144726978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hayward J Godwin, Haden Dewis, Peter T Darch, Michael C Hout, Daniel Ernst, Philippa Broadbent, Megan Papesh, Jeremy M Wolfe
{"title":"A sharing practices review of the visual search and eye movements literature reveals recommendations for our field and others.","authors":"Hayward J Godwin, Haden Dewis, Peter T Darch, Michael C Hout, Daniel Ernst, Philippa Broadbent, Megan Papesh, Jeremy M Wolfe","doi":"10.3758/s13428-025-02759-3","DOIUrl":"10.3758/s13428-025-02759-3","url":null,"abstract":"<p><p>The sharing of research outputs is an important endeavor, one that is increasingly required by funders and publishers alike. Here, we catalogued and examined data sharing practices, using our own field of visual search and eye movement behavior as an example. To find outputs from scientific research, we conducted two searches: a Literature Search and a repository search. Overall, we found that researchers in our field generally shared outputs that enabled others to analytically reproduce published results. It was rare for researchers to share outputs that enabled direct replications of their work, and it was also rare for researchers to share raw data that would enable secondary data analyses. Comparing the results of our two searches of the literature, we found that a lack of metadata substantially reduced the rates at which outputs could be found and used. Based on our findings, we present a set of recommendations summarized in our 'Find It - Access It - Reuse It' scorecard. The scorecard is intended to assist researchers in sharing outputs in a manner that will enable others to better find, access, and understand them - and this includes researchers in other fields beyond our own.</p>","PeriodicalId":8717,"journal":{"name":"Behavior Research Methods","volume":"57 9","pages":"235"},"PeriodicalIF":3.9,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12296990/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144726977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A novel method for modeling tonic and phasic pupil dynamics in humans.","authors":"Matthias Mittner, Josephine Maria Groot","doi":"10.3758/s13428-025-02755-7","DOIUrl":"10.3758/s13428-025-02755-7","url":null,"abstract":"<p><p>The human pupil is a widely used physiological metric in psychology and neuroscience. Changes in pupil diameter (PD) are thought to reflect changes in locus coeruleus-norepinephrine (LC/NE) activity, which is associated with cognitive and behavioral optimization. Here, we present a novel algorithm to decompose the pupil signal into its tonic and phasic components. We evaluate the utility and validity of the algorithms using both artificially generated data and an existing dataset from a fast-paced finger-tapping task. Results show that the novel algorithm outperforms traditional approaches on simulated data. We further demonstrate that our algorithm provides more conclusive evidence for relationships between mind wandering reports and pupil predictors compared to traditional window-averaging. Finally, we demonstrate that the novel and traditional estimates contain distinct information regarding neuroimaging correlates and task performance.</p>","PeriodicalId":8717,"journal":{"name":"Behavior Research Methods","volume":"57 9","pages":"233"},"PeriodicalIF":3.9,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12296849/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144726976","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Digital pathways beyond Western-centric participants.","authors":"Edmond Awad","doi":"10.3758/s13428-025-02751-x","DOIUrl":"10.3758/s13428-025-02751-x","url":null,"abstract":"<p><p>In 2010, Henrich and colleagues published a seminal article in which they noted that (1) studies in social and behavioural sciences oversample from Western, educated, industrialised, rich, and democratic (WEIRD) individuals, and (2) WEIRD subjects are particularly unusual compared to the rest of the world population with respect to several factors. Despite the positive reception of this article, not much has changed in the years to follow. For instance, reviews of recent papers in leading psychology journals reveal that only a small proportion of the studied samples originate from non-Western countries. This sampling bias cannot be excused for lack of means. The digital age has opened several opportunities to facilitate and support social science research with subjects from non-WEIRD backgrounds. In this article, I provide an overview of such tools and comment on the advantages and disadvantages of each.</p>","PeriodicalId":8717,"journal":{"name":"Behavior Research Methods","volume":"57 8","pages":"229"},"PeriodicalIF":3.9,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12274141/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144666973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ulf-Dietrich Reips, Annika T Overlander, Matthias Bannert
{"title":"Dropout analysis: A method for data from Internet-based research and dropR, an R-based web app and package to analyze and visualize dropout.","authors":"Ulf-Dietrich Reips, Annika T Overlander, Matthias Bannert","doi":"10.3758/s13428-025-02730-2","DOIUrl":"10.3758/s13428-025-02730-2","url":null,"abstract":"<p><p>With Internet-based research, non-response such as lack of responses to particular items and dropout have become interesting dependent variables due to highly voluntary participation and large numbers of participants (Reips, 2000, 2002b). In this article, we develop and discuss the methodology of using and analyzing dropout in Internet-based research, and we present dropR, an R package and web service (web application) to analyze and visualize dropout. The web app was written in R using Shiny, a free software environment for statistical computing and graphics. Among other features, dropR turns input from datasets into accessible and publication-ready visual displays of dropout curves. It calculates parameters relevant to dropout analysis, such as chi-square values and odds ratios for points of difference, initial drop, and percent remaining in stable states. It provides Kaplan-Meier survival statistics and tests survival curve differences. With automated inferential components, it identifies critical points in dropout and critical differences between dropout curves for different experimental conditions (Kolmogorov-Smirnov and rho-family statistics) and produces related statistical copy. Requiring no programming knowledge, dropR is provided as a free web application at https://dropr.eu and for programmers as an R package (under a cost free general public license, GPL-3, https://cran.r-project.org/web/licenses/GPL-3 ) from researchers for researchers. All code and materials are openly available on GitHub ( https://github.com/iscience-kn/dropR ).</p>","PeriodicalId":8717,"journal":{"name":"Behavior Research Methods","volume":"57 8","pages":"231"},"PeriodicalIF":3.9,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12274255/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144666974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Rethinking causal inference for recurring exposures: The incremental propensity score approach with lavaan.","authors":"Wen Wei Loh, Dongning Ren, Yves Rosseel","doi":"10.3758/s13428-025-02735-x","DOIUrl":"10.3758/s13428-025-02735-x","url":null,"abstract":"<p><p>Scholars are often interested in evaluating the causal effects of a recurring exposure (e.g., family violence) on behavioral and psychological outcomes. However, causal inference of recurring exposures is challenging. Conventional analytic approaches target causal quantities lacking practical relevance, such as mandating everyone to uniformly always be exposed or unexposed to family violence. Estimation further relies on everyone having a non-zero probability of being either exposed or unexposed at each occurrence, which is frequently unrealistic when past exposures perfectly predict future exposures. In this paper, we introduce a novel approach from the causal inference literature for drawing causal conclusions about recurring exposures: the incremental propensity score intervention (IPSI). IPSI frames causal questions more realistically by assessing how changing the propensity of a recurring exposure may influence an outcome. To facilitate the adoption of IPSI for recurring exposures, we develop an estimation procedure using lavaan, a widely used structural equation modeling software in R. We demonstrate the application of IPSI with a real-world dataset investigating the impact of recurring family violence on adolescent depression. IPSI requires fewer assumptions than existing approaches while offering more meaningful insights into the causal effects of recurring exposures.</p>","PeriodicalId":8717,"journal":{"name":"Behavior Research Methods","volume":"57 8","pages":"230"},"PeriodicalIF":3.9,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12274147/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144666975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Automatic temporal analysis of speech: A quick and objective pipeline for the assessment of overt stuttering.","authors":"Vishruta Yawatkar, Ho Ming Chow, Evan Usler","doi":"10.3758/s13428-025-02733-z","DOIUrl":"10.3758/s13428-025-02733-z","url":null,"abstract":"<p><p>Fluency disorders, such as developmental stuttering, have been characterized by behavior such as blocks, repetitions, and prolongations in speech. Accurate measurement of overt stuttering behavior can aid in diagnostic evaluation and the determination of optimal treatment for this disorder. This study proposes a method - Automatic Temporal Analysis of Speech (ATAS) - for the assessment of speech fluency based on the detection and quantification of discrete pauses and vocal events. Our ATAS metrics include speech rate, total pause time, pause count, mean pause duration, mean vocal duration, pause duration variability, and vocal duration variability. We used oral reading audio samples from a total of 35 English-speaking participants: 17 from adults who stutter (AWS) and 18 from adults who do not stutter (AWNS). AWS, in general, exhibited more pausing or hesitancy in speech compared to AWNS, as evidenced by slower speech rate, greater total pause time, higher pause count, and longer mean duration of pause events. Numerous pause and vocal metrics acquired from ATAS were correlated with a canonical measure of stuttering frequency percent syllables stuttered, suggesting that automatically detected temporal metrics of pause and vocal events within continuous speech are highly associated with overt stuttering behavior. ATAS metrics generally predicted the status of each participant as either an AWS or AWNS grouping with accuracies considerably higher than random guessing using random forest and LSTM classifiers. This pipeline may provide an alternative and complementary method that speech-language pathologists and other health professionals can use in the assessment of fluency disorders.</p>","PeriodicalId":8717,"journal":{"name":"Behavior Research Methods","volume":"57 8","pages":"228"},"PeriodicalIF":3.9,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12274223/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144666972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}