-
Exploring the multiverse of analysis options for the alcohol Stroop Behav. Res. Methods (IF 5.953) Pub Date : 2024-03-14 Andrew Jones, Elena Petrovskaya, Tom Stafford
-
The discrepancy in timing between synchronous signals and visual stimulation should not be underestimated Behav. Res. Methods (IF 5.953) Pub Date : 2024-03-14
Abstract Response latency is a critical parameter in studying human behavior, representing the time interval between the onset of stimulus and the response. However, different time between devices can introduce errors. Serial port synchronization signal can mitigate this, but limited information is available regarding their accuracy. Optical signals offer another option, but the difference in the positioning
-
A guide to measuring expert performance in forensic pattern matching Behav. Res. Methods (IF 5.953) Pub Date : 2024-03-14 Samuel G. Robson, Rachel A. Searston, Matthew B. Thompson, Jason M. Tangen
-
Best practices for your confirmatory factor analysis: A JASP and lavaan tutorial Behav. Res. Methods (IF 5.953) Pub Date : 2024-03-13 Pablo Rogers
-
Quantifying tics: Best practices and design considerations for video-based tic coding in research Behav. Res. Methods (IF 5.953) Pub Date : 2024-03-12 Megan DuBois, Kerry Houlihan, Brittany Raab, Alison Pryor, Mia Kellman, Mayella Brinker, Brianna Wellen, Matthew Capriotti, Christine Conelea
Tic disorders (TD), including Tourette Syndrome, are characterized by involuntary, repetitive movements and/or vocalizations that can lead to persistent disability and impairment across the lifespan. Existing research demonstrates that video-based behavioral coding (VBBC) methods can be used to reliably quantify tics, enabling a more objective approach to tic measurement above and beyond standardly
-
Mobile version of the Battery for the Assessment of Auditory Sensorimotor and Timing Abilities (BAASTA): Implementation and adult norms Behav. Res. Methods (IF 5.953) Pub Date : 2024-03-08 Simone Dalla Bella, Nicholas E. V. Foster, Hugo Laflamme, Agnès Zagala, Kadi Melissa, Naeem Komeilipoor, Mélody Blais, Simon Rigoulot, Sonja A. Kotz
-
SHAP value-based ERP analysis (SHERPA): Increasing the sensitivity of EEG signals with explainable AI methods Behav. Res. Methods (IF 5.953) Pub Date : 2024-03-07 Sophia Sylvester, Merle Sagehorn, Thomas Gruber, Martin Atzmueller, Benjamin Schöne
-
ACE-DNV: Automatic classification of gaze events in dynamic natural viewing Behav. Res. Methods (IF 5.953) Pub Date : 2024-03-06
Abstract Eye movements offer valuable insights for clinical interventions, diagnostics, and understanding visual perception. The process usually involves recording a participant’s eye movements and analyzing them in terms of various gaze events. Manual identification of these events is extremely time-consuming. Although the field has seen the development of automatic event detection and classification
-
Lightness constancy in reality, in virtual reality, and on flat-panel displays Behav. Res. Methods (IF 5.953) Pub Date : 2024-03-05 Khushbu Y. Patel, Laurie M. Wilcox, Laurence T. Maloney, Krista A. Ehinger, Jaykishan Y. Patel, Emma Wiedenmann, Richard F. Murray
-
Statistical indices of masculinity-femininity: A theoretical and practical framework Behav. Res. Methods (IF 5.953) Pub Date : 2024-03-04 Marco Del Giudice
-
Measuring object recognition ability: Reliability, validity, and the aggregate z-score approach Behav. Res. Methods (IF 5.953) Pub Date : 2024-03-04
Abstract Measurement of domain-general object recognition ability (o) requires minimization of domain-specific variance. One approach is to model o as a latent variable explaining performance on a battery of tests which differ in task demands and stimuli; however, time and sample requirements may be prohibitive. Alternatively, an aggregate measure of o can be obtained by averaging z-scores across tests
-
Many morphs: Parsing gesture signals from the noise Behav. Res. Methods (IF 5.953) Pub Date : 2024-03-04 Alexander Mielke, Gal Badihi, Kirsty E. Graham, Charlotte Grund, Chie Hashimoto, Alex K. Piel, Alexandra Safryghin, Katie E. Slocombe, Fiona Stewart, Claudia Wilke, Klaus Zuberbühler, Catherine Hobaiter
-
What is a blink? Classifying and characterizing blinks in eye openness signals Behav. Res. Methods (IF 5.953) Pub Date : 2024-02-29 Marcus Nyström, Richard Andersson, Diederick C. Niehorster, Roy S. Hessels, Ignace T. C. Hooge
-
Dimensionality and optimal combination of autonomic fear-conditioning measures in humans Behav. Res. Methods (IF 5.953) Pub Date : 2024-02-29
Abstract Fear conditioning, also termed threat conditioning, is a commonly used learning model with clinical relevance. Quantification of threat conditioning in humans often relies on conditioned autonomic responses such as skin conductance responses (SCR), pupil size responses (PSR), heart period responses (HPR), or respiration amplitude responses (RAR), which are usually analyzed separately. Here
-
Dealing with missing data in multi-informant studies: A comparison of approaches Behav. Res. Methods (IF 5.953) Pub Date : 2024-02-28 Po-Yi Chen, Fan Jia, Wei Wu, Min-Heng Wang, Tzi-Yang Chao
-
A tutorial on fitting joint models of M/EEG and behavior to understand cognition Behav. Res. Methods (IF 5.953) Pub Date : 2024-02-26 Michael D. Nunez, Kianté Fernandez, Ramesh Srinivasan, Joachim Vandekerckhove
-
A 2PLM-RANK multidimensional forced-choice model and its fast estimation algorithm Behav. Res. Methods (IF 5.953) Pub Date : 2024-02-26
Abstract High-stakes non-cognitive tests frequently employ forced-choice (FC) scales to deter faking. To mitigate the issue of score ipsativity derived, many scoring models have been devised. Among them, the multi-unidimensional pairwise preference (MUPP) framework is a highly flexible and commonly used framework. However, the original MUPP model was developed for unfolding response process and can
-
Many nonnormalities, one simulation: Do different data generation algorithms affect study results? Behav. Res. Methods (IF 5.953) Pub Date : 2024-02-22 Amanda J. Fairchild, Yunhang Yin, Amanda N. Baraldi, Oscar L. Olvera Astivia, Dexin Shi
-
LASTU: A psycholinguistic search tool for Finnish lexical stimuli Behav. Res. Methods (IF 5.953) Pub Date : 2024-02-22 Sami Itkonen, Tuomo Häikiö, Seppo Vainio, Minna Lehtonen
-
Multilevel modeling in single-case studies with zero-inflated and overdispersed count data Behav. Res. Methods (IF 5.953) Pub Date : 2024-02-21 Haoran Li, Wen Luo, Eunkyeng Baek
-
Beyond alpha and omega: The accuracy of single-test reliability estimators in unidimensional continuous data Behav. Res. Methods (IF 5.953) Pub Date : 2024-02-21 Eunseong Cho
-
Dimensionality assessment in the presence of wording effects: A network psychometric and factorial approach Behav. Res. Methods (IF 5.953) Pub Date : 2024-02-20 Alejandro Garcia-Pardina, Francisco J. Abad, Alexander P. Christensen, Hudson Golino, Luis Eduardo Garrido
-
Capturing individual differences in sentence processing: How reliable is the self-paced reading task? Behav. Res. Methods (IF 5.953) Pub Date : 2024-02-20 Felicity F. Frinsel, Morten H. Christiansen
-
Standardizing norms for 1286 colored pictures in Cantonese Behav. Res. Methods (IF 5.953) Pub Date : 2024-02-20
Abstract This study established psycholinguistic norms in Cantonese for a set of 1286 colored pictures sourced from several picture databases, including 750 colored line drawings from MultiPic (Duñabeitia et al., 2018) and 536 photographs selected for McRae et al. (2005) concepts. The pictures underwent rigorous normalization processes. We provided picture characteristics including name and concept
-
Everything you ever wanted to know about the Think/No-Think task, but forgot to ask Behav. Res. Methods (IF 5.953) Pub Date : 2024-02-20 Davide Nardo, Michael C. Anderson
-
Modality matters: Three auditory conflict tasks to measure individual differences in attention control Behav. Res. Methods (IF 5.953) Pub Date : 2024-02-16 Alexander P. Burgoyne, Dolly T. Seeburger, Randall W. Engle
-
NSP-SCD: A corpus construction protocol for child-directed print in understudied languages Behav. Res. Methods (IF 5.953) Pub Date : 2024-02-15
Abstract Child-directed print corpora enable systematic psycholinguistic investigations, but this research infrastructure is not available in many understudied languages. Moreover, researchers of understudied languages are dependent on manual tagging because precise automatized parsers are not yet available. One plausible way forward is to limit the intensive work to a small-sized corpus. However,
-
A Mixture Fluency model using responses and response times with cognitive diagnosis model framework Behav. Res. Methods (IF 5.953) Pub Date : 2024-02-15
Abstract Random guessing behaviors are frequently observed in low-stakes assessments, often attributed to factors such as test-takers lacking motivation or experiencing time constraints and fatigue. Existing research suggests that responses stemming from random guessing behaviors introduce biases into the constructs and relationships of interest. This is particularly problematic when estimating the
-
eyeScrollR: A software method for reproducible mapping of eye-tracking data from scrollable web pages Behav. Res. Methods (IF 5.953) Pub Date : 2024-02-12 Nathanael Larigaldie, Anna Dreneva, Jacob L. Orquin
-
Revisiting Snodgrass and Vanderwart in photograph form: The Keele Photo Stimulus Set (KPSS) Behav. Res. Methods (IF 5.953) Pub Date : 2024-02-08
Abstract Over the last 40 years, object recognition studies have moved from using simple line drawings, to more detailed illustrations, to more ecologically valid photographic representations. Researchers now have access to various stimuli sets, however, existing sets lack the ability to independently manipulate item format, as the concepts depicted are unique to the set they derive from. To enable
-
Evaluating two small-sample corrections for fixed-effects standard errors and inferences in multilevel models with heteroscedastic, unbalanced, clustered data Behav. Res. Methods (IF 5.953) Pub Date : 2024-02-06 Yichi Zhang, Mark H. C. Lai
-
Handling dependent samples in meta-analytic structural equation models: A Wishart-based approach Behav. Res. Methods (IF 5.953) Pub Date : 2024-02-02 James Ohisei Uanhoro
-
thebeat: A Python package for working with rhythms and other temporal sequences Behav. Res. Methods (IF 5.953) Pub Date : 2024-02-02 Jelle van der Werff, Andrea Ravignani, Yannick Jadoul
-
Statistical power analysis and sample size planning for moderated mediation models Behav. Res. Methods (IF 5.953) Pub Date : 2024-02-02 Ziqian Xu, Fei Gao, Anqi Fa, Wen Qu, Zhiyong Zhang
-
The Index of Intrusion Control (IIC): Capturing individual variability in intentional intrusion control in the laboratory Behav. Res. Methods (IF 5.953) Pub Date : 2024-01-30 Stephanie M. Ashton, Pierre Gagnepain, Per Davidson, Robin Hellerstedt, Akul Satish, Tom Smeets, Conny W. E. M. Quaedflieg
-
The Emotion-to-Music Mapping Atlas (EMMA): A systematically organized online database of emotionally evocative music excerpts Behav. Res. Methods (IF 5.953) Pub Date : 2024-01-30
Abstract Selecting appropriate musical stimuli to induce specific emotions represents a recurring challenge in music and emotion research. Most existing stimuli have been categorized according to taxonomies derived from general emotion models (e.g., basic emotions, affective circumplex), have been rated for perceived emotions, and are rarely defined in terms of interrater agreement. To redress these
-
Measurement reactivity in ambulatory assessment: Increase in emotional clarity over time independent of sampling frequency Behav. Res. Methods (IF 5.953) Pub Date : 2024-01-30
Abstract Ambulatory assessment (AA) studies are frequently used to study emotions, cognitions, and behavior in daily life. But does the measurement itself produce reactivity, that is, are the constructs that are measured influenced by participation? We investigated individual differences in intraindividual change in momentary emotional clarity and momentary pleasant-unpleasant mood over the course
-
Ant colony optimization for parallel test assembly Behav. Res. Methods (IF 5.953) Pub Date : 2024-01-26 Luc Zimny, Ulrich Schroeders, Oliver Wilhelm
-
Can generative AI infer thinking style from language? Evaluating the utility of AI as a psychological text analysis tool Behav. Res. Methods (IF 5.953) Pub Date : 2024-01-26
Abstract Generative AI, short for Generative Artificial Intelligence, a class of artificial intelligence systems, is not currently the choice technology for text analysis, but prior work suggests it may have some utility to assess dynamics like emotion. The current work builds upon this empirical foundation to consider how analytic thinking scores from a large language model chatbot, ChatGPT, were
-
Automated facial expression measurement in a longitudinal sample of 4- and 8-month-olds: Baby FaceReader 9 and manual coding of affective expressions Behav. Res. Methods (IF 5.953) Pub Date : 2024-01-25 Martina S. Zaharieva, Eliala A. Salvadori, Daniel S. Messinger, Ingmar Visser, Cristina Colonnesi
-
Can large language models help augment English psycholinguistic datasets? Behav. Res. Methods (IF 5.953) Pub Date : 2024-01-23 Sean Trott
-
The effectiveness of warning statements in reducing careless responding in crowdsourced online surveys Behav. Res. Methods (IF 5.953) Pub Date : 2024-01-18 Florian Brühlmann, Zgjim Memeti, Lena F. Aeschbach, Sebastian A. C. Perrig, Klaus Opwis
-
What do we manipulate when reminding people of (not) having control? In search of construct validity Behav. Res. Methods (IF 5.953) Pub Date : 2024-01-17 Marcin Bukowski, Anna Potoczek, Krystian Barzykowski, Johannes Lautenbacher, Michael Inzlicht
The construct of personal control is crucial for understanding a variety of human behaviors. Perceived lack of control affects performance and psychological well-being in diverse contexts – educational, organizational, clinical, and social. Thus, it is important to know to what extent we can rely on the established experimental manipulations of (lack of) control. In this article, we examine the construct
-
Automated scoring of the autobiographical interview with natural language processing Behav. Res. Methods (IF 5.953) Pub Date : 2024-01-17 Ruben D.I. van Genugten, Daniel L. Schacter
-
Development of an open-source solution to facilitate the use of one-button wearables in experience sampling designs Behav. Res. Methods (IF 5.953) Pub Date : 2024-01-17 Selina Volsa, David Lewetz, Vinka Mlakic, Chiara Bertagnoli, Samantha Hochstöger, Martina Rechl, Hannah Sertic, Bernad Batinic, Stefan Stieger
-
Implementation of an online spacing flanker task and evaluation of its test–retest reliability using measures of inhibitory control and the distribution of spatial attention Behav. Res. Methods (IF 5.953) Pub Date : 2024-01-16
Abstract The flanker task (Eriksen & Eriksen, Perception & Psychophysics, 16(1), 143-149, 1974) has been highly influential and widely used in studies of visual attention. Its simplicity has made it popular to include it in experimental software packages and online platforms. The spacing flanker task (SFT), in which the distance between the target and flankers varies, is useful for studying the distribution
-
A hybrid approach to dynamic cognitive psychometrics Behav. Res. Methods (IF 5.953) Pub Date : 2024-01-10 Charlotte C. Tanis, Andrew Heathcote, Mark Zrubka, Dora Matzke
-
Large eye–head gaze shifts measured with a wearable eye tracker and an industrial camera Behav. Res. Methods (IF 5.953) Pub Date : 2024-01-10
Abstract We built a novel setup to record large gaze shifts (up to 140 \(^\circ \) ). The setup consists of a wearable eye tracker and a high-speed camera with fiducial marker technology to track the head. We tested our setup by replicating findings from the classic eye–head gaze shift literature. We conclude that our new inexpensive setup is good enough to investigate the dynamics of large eye–head
-
Some students are more equal: Performance in Author Recognition Test and Title Recognition Test modulated by print exposure and academic background Behav. Res. Methods (IF 5.953) Pub Date : 2024-01-09 Marion Hug, Julian Jarosch, Christiane Eichenauer, Selina Pennella, Franziska Kretzschmar, Pascal Nicklas
-
On the reliability of value-modulated attentional capture: An online replication and multiverse analysis Behav. Res. Methods (IF 5.953) Pub Date : 2024-01-09 Francisco Garre-Frutos, Miguel A. Vadillo, Felisa González, Juan Lupiáñez
-
Short-time AOIs-based representative scanpath identification and scanpath aggregation Behav. Res. Methods (IF 5.953) Pub Date : 2024-01-09
Abstract A new algorithm to identify a representative scanpath in a sample is presented and evaluated with eye-tracking data. According to Gestalt theory, each fixation of the scanpath should be on an area of interest (AOI) of the stimuli. As with existing methods, we first identify the AOIs and then extract the fixations of the representative scanpath from the AOIs. In contrast to existing methods
-
Diminished diversity-of-thought in a standard large language model Behav. Res. Methods (IF 5.953) Pub Date : 2024-01-09 Peter S. Park, Philipp Schoenegger, Chongyang Zhu
-
Assessing the data quality of AdHawk MindLink eye-tracking glasses Behav. Res. Methods (IF 5.953) Pub Date : 2024-01-02 Zehao Huang, Xiaoting Duan, Gancheng Zhu, Shuai Zhang, Rong Wang, Zhiguo Wang
-
What does a population-level mediation reveal about individual people? Behav. Res. Methods (IF 5.953) Pub Date : 2023-12-29 Paul C. Bogdan, Víctor H. Cervantes, Michel Regenwetter
-
The Tool for Automatic Measurement of Morphological Information (TAMMI) Behav. Res. Methods (IF 5.953) Pub Date : 2023-12-29
Abstract This study documents and assesses the Tool for Automatic Measurement of Morphological Information (TAMMI), which calculates measures related to basic morpheme counts, morphological variety, morphological complexity, morpheme type-token counts, and variables found in the MorphoLex database (Sánchez-Gutiérrez et al., 2018) including morpheme frequency/length, morpheme family size counts and
-
Bayesian sequential designs in studies with multilevel data Behav. Res. Methods (IF 5.953) Pub Date : 2023-12-29 Mirjam Moerbeek
-
A practical guide to calculating vocal tract length and scale-invariant formant patterns Behav. Res. Methods (IF 5.953) Pub Date : 2023-12-29
Abstract Formants (vocal tract resonances) are increasingly analyzed not only by phoneticians in speech but also by behavioral scientists studying diverse phenomena such as acoustic size exaggeration and articulatory abilities of non-human animals. This often involves estimating vocal tract length acoustically and producing scale-invariant representations of formant patterns. We present a theoretical
-
Feats: A database of semantic features for early produced noun concepts Behav. Res. Methods (IF 5.953) Pub Date : 2023-12-26 Arielle Borovsky, Ryan E. Peters, Joseph I. Cox, Ken McRae
-
Distorted correlations among censored data: causes, effects, and correction Behav. Res. Methods (IF 5.953) Pub Date : 2023-12-21 Kimberly A. Barchard, James A. Russell
-
Detecting non-content-based response styles in survey data: An application of mixture factor analysis Behav. Res. Methods (IF 5.953) Pub Date : 2023-12-21
Abstract It is common for some participants in self-report surveys to be careless, inattentive, or lacking in effort. Data quality can be severely compromised by responses that are not based on item content (non-content-based [nCB] responses), leading to strong biases in the results of data analysis and misinterpretation of individual scores. In this study, we propose a specification of factor mixture