Behavior Research Methods最新文献_第3页

Distal outcomes in mixture modeling: A guide for pairwise comparisons, multiplicity control, and effect size reporting. 混合模型的远端结果：两两比较、多重控制和效应大小报告的指南。

IF 5 2区心理学

Behavior Research Methods Pub Date : 2026-08-14 DOI: 10.3758/s13428-026-03144-4

Delwin B Carter

{"title":"Distal outcomes in mixture modeling: A guide for pairwise comparisons, multiplicity control, and effect size reporting.","authors":"Delwin B Carter","doi":"10.3758/s13428-026-03144-4","DOIUrl":"https://doi.org/10.3758/s13428-026-03144-4","url":null,"abstract":"Despite the widespread use of mixture models in psychology, education, and the behavioral sciences, there is little consolidated guidance on how distal outcome differences should be tested, corrected for multiplicity, and reported once a latent class or profile solution has been selected. In practice, applied researchers often report omnibus tests without follow-up comparisons, conduct uncorrected pairwise tests, or omit effect sizes and confidence intervals altogether, limiting the interpretability and reproducibility of findings. Consistent with this concern, a targeted reporting-practice audit of recent applied person-centered studies showed that multiplicity adjustment, global distal outcome effect sizes, pairwise effect sizes, and confidence intervals for pairwise effects were rarely reported. The present paper synthesizes recommendations from the general statistical literature and adapts them to the context of mixture modeling, focusing primarily on continuous distal outcomes and comparisons of class-specific means. We propose a principled framework for (a) defining appropriate families of pairwise comparisons for distal outcomes, (b) selecting and implementing multiplicity corrections with Benjamini-Hochberg recommended as the default procedure for applied distal outcome comparisons, and (c) computing and reporting global and pairwise effect sizes and confidence intervals using quantities readily available from standard mixture modeling software (e.g., Mplus). Through worked examples and a software-agnostic Quarto/R supplement, we demonstrate how these practices can be implemented transparently and consistently across common auxiliary-variable approaches, including maximum likelihood (ML) three-step and Bolck-Croon-Hagenaars (BCH) methods.","PeriodicalId":8717,"journal":{"name":"Behavior Research Methods","volume":"58 9","pages":""},"PeriodicalIF":5.0,"publicationDate":"2026-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13476281/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148757520","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}

引用次数: 0

Contextualized sensorimotor norms: Multi-dimensional measures of sensorimotor strength for ambiguous English words, in context. 语境化感觉运动规范：在语境中对歧义英语单词感觉运动强度的多维测量。

IF 5 2区心理学

Behavior Research Methods Pub Date : 2026-08-12 DOI: 10.3758/s13428-026-03134-6

Sean Trott, Benjamin Bergen

{"title":"Contextualized sensorimotor norms: Multi-dimensional measures of sensorimotor strength for ambiguous English words, in context.","authors":"Sean Trott, Benjamin Bergen","doi":"10.3758/s13428-026-03134-6","DOIUrl":"10.3758/s13428-026-03134-6","url":null,"abstract":"Embodied theories of language emphasize the role of sensorimotor experience in linguistic knowledge. Central to testing these theories is the creation of large datasets of linguistic norms, which contain judgments about a word's sensorimotor associations and can be used to predict human behavioral or brain data - sometimes in contrast to competing variables, such as those derived from distributional language models. Yet many of these datasets contain judgments about words in isolation, despite the fact that most words are ambiguous, making it difficult to determine which meaning of a word is characterized by its rating (e.g., \"wooden table\" vs. \"data table\"). In the current work, we introduce a new lexical resource (directly inspired by the Lancaster sensorimotor for 112 English words, each rated in four different contexts (448 sentences total). We demonstrate: first, that these ratings encode overlapping but distinct information from the Lancaster sensorimotor norms; second, that decontextualized ratings likely reflect the more dominant meaning of ambiguous words; third, that homonyms have more distinct sensorimotor profiles than polysemes; fourth, that the contextualized sensorimotor distance between two uses of an ambiguous word predicts human judgments about semantic relatedness; and fifth, that ratings derived from GPT-4 align reasonably well with human judgments. We conclude by suggesting that contextualized ratings like these can be used both to inform competing theories of semantic representations and also to evaluate or \"probe\" the ability of LMs to recover sensorimotor information.","PeriodicalId":8717,"journal":{"name":"Behavior Research Methods","volume":"58 9","pages":""},"PeriodicalIF":5.0,"publicationDate":"2026-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13469423/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148719884","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}

引用次数: 0

Food, mammals, & countries: Stimuli, their pairwise similarities, and MDS dimension values for modeling judgment, categorization, and memory in three real-world domains. 食物，哺乳动物和国家：刺激，它们的两两相似性，以及在三个现实世界领域中建模判断，分类和记忆的MDS维度值。

IF 5 2区心理学

Behavior Research Methods Pub Date : 2026-08-12 DOI: 10.3758/s13428-026-03114-w

David Izydorczyk, Arndt Bröder

{"title":"Food, mammals, & countries: Stimuli, their pairwise similarities, and MDS dimension values for modeling judgment, categorization, and memory in three real-world domains.","authors":"David Izydorczyk, Arndt Bröder","doi":"10.3758/s13428-026-03114-w","DOIUrl":"10.3758/s13428-026-03114-w","url":null,"abstract":"Three comprehensive sets of naturalistic stimuli, each with pairwise similarity ratings and multidimensional scaling (MDS)-based feature representations are presented, freely available on the corresponding OSF repository of this project under a CC-BY-SA-NC-4.0 license. The primary contribution of this work is the provision of these well-curated naturalistic stimulus sets and their associated high-quality similarity data as a resource for the research community. The sets include 80 representative items from three domains - foods, mammals, and countries - that can be used across cognitive research areas such as categorization, multiple-cue probability learning, judgment, decision-making, memory, and metamemory. Based on over 280,000 similarity judgments from <math><mrow><mi>N</mi> <mo>=</mo> <mn>1798</mn></mrow> </math> participants, we derived 14 dimensions for foods, ten for mammals, and ten for countries, which reconstructed the similarity spaces with high accuracy ( <math><mrow><mi>r</mi> <mo>≥</mo> <mo>.</mo> <mn>93</mn></mrow> </math> ). In a proof-of-concept study, these dimensions also explained substantial variance in participants' numerical judgments of domain-specific criteria, underscoring their functional relevance beyond similarity tasks. By making these stimuli, similarity data, and derived feature spaces freely available, we provide researchers with tools for testing computational cognitive models in relevant real-world domains, each of which allows for examining a multitude of judgment or classification criteria.","PeriodicalId":8717,"journal":{"name":"Behavior Research Methods","volume":"58 9","pages":""},"PeriodicalIF":5.0,"publicationDate":"2026-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13468986/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148720270","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}

引用次数: 0

Item analyses of the 20-item prosopagnosia index using classical test theory and item response theory. 运用经典测验理论和项目反应理论对20项面孔失认指数进行项目分析。

IF 5 2区心理学

Behavior Research Methods Pub Date : 2026-08-12 DOI: 10.3758/s13428-026-03145-3

Masaki Mori, Midori Sugiyama

{"title":"Item analyses of the 20-item prosopagnosia index using classical test theory and item response theory.","authors":"Masaki Mori, Midori Sugiyama","doi":"10.3758/s13428-026-03145-3","DOIUrl":"10.3758/s13428-026-03145-3","url":null,"abstract":"The 20-item prosopagnosia index (PI20) is a highly practical tool for assessing lifelong difficulties in face processing across individuals (developmental prosopagnosia). Recent research suggests that the quality of the PI20 may vary depending on the item; however, the quantitative quality of each item has not been sufficiently examined. In this study, the item properties of the PI20 were investigated using classical test theory and item response theory. The analyses confirmed that the one-factor structure of the PI20 showed high reliability and validity. Item response theory further revealed that the items differed in measurement power, discrimination, and difficulty under the unidimensional graded response model. Items reflecting the additional psychological load and social consequences associated with face processing difficulty demonstrated high measurement precision. In contrast, items related to the recognition of distinctive or self-faces contributed to the construct to a lesser degree. These results indicate that while most items adequately capture the characteristics of developmental prosopagnosia, certain items may not be suitable for screening for developmental prosopagnosia. The present study provides open materials to facilitate further psychometric evaluation of the PI20 and offers insights for refining self-report assessment of developmental prosopagnosia.","PeriodicalId":8717,"journal":{"name":"Behavior Research Methods","volume":"58 9","pages":""},"PeriodicalIF":5.0,"publicationDate":"2026-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13469481/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148721181","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}

引用次数: 0

GridSamp: An open-source Python toolbox for grid sampling. GridSamp：用于网格采样的开源Python工具箱。

IF 5 2区心理学

Behavior Research Methods Pub Date : 2026-08-10 DOI: 10.3758/s13428-026-03141-7

Maarten Leemans, Christophe Bossens, Johan Wagemans

{"title":"GridSamp: An open-source Python toolbox for grid sampling.","authors":"Maarten Leemans, Christophe Bossens, Johan Wagemans","doi":"10.3758/s13428-026-03141-7","DOIUrl":"https://doi.org/10.3758/s13428-026-03141-7","url":null,"abstract":"Grid sampling is widely used in vision science and computer vision to study relations between local image regions and global image structure. Regions are sampled from an image by overlaying a grid with predefined rows and columns onto an image and treating the content of a cell as an image region. By manipulating the grid properties, researchers can systematically control sampling properties such as density and the spatial arrangement of local samples. Despite its frequent use, however, grid sampling is typically implemented using ad hoc, study-specific code, limiting reproducibility, comparability across studies, and accessibility for new users. To address this gap, we introduce GridSamp, an open-source Python toolbox that standardizes and streamlines the grid sampling workflow into an intuitive and flexible workflow. GridSamp supports multiple grid types with user-defined parameters and starting positions, allows manipulation of the appearance and arrangement of sampled regions (e.g., region shape, size, swapping, and shuffling), and enables extraction of image regions either with or without surrounding context, as regions of interest or as reassembled mosaic images. We demonstrate the utility of GridSamp by reproducing stimuli used in previous experimental studies, illustrating how the toolbox facilitates transparent and reproducible stimulus generation. The source code and interactive Jupyter Notebook tutorials are freely available on GitHub, and GridSamp can be downloaded as a module from the Python Package Index.","PeriodicalId":8717,"journal":{"name":"Behavior Research Methods","volume":"58 9","pages":""},"PeriodicalIF":5.0,"publicationDate":"2026-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148700413","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}

引用次数: 0

Eye-tracking-while-reading: A living survey of datasets with open library support. 阅读时眼动追踪：开放图书馆支持下的数据集调查。

IF 5 2区心理学

Behavior Research Methods Pub Date : 2026-08-10 DOI: 10.3758/s13428-026-03126-6

Deborah N Jakobi, David R Reich, Paul Prasse, Jana M Hofmann, Lena S Bolliger, Lena A Jäger

{"title":"Eye-tracking-while-reading: A living survey of datasets with open library support.","authors":"Deborah N Jakobi, David R Reich, Paul Prasse, Jana M Hofmann, Lena S Bolliger, Lena A Jäger","doi":"10.3758/s13428-026-03126-6","DOIUrl":"10.3758/s13428-026-03126-6","url":null,"abstract":"Eye-tracking-while-reading corpora are a valuable resource for many different disciplines and use cases. Use cases range from studying the cognitive processes underlying reading to machine-learning-based applications, such as gaze-based assessments of reading comprehension. The past decades have seen an increase in the number and size of eye-tracking-while-reading datasets as well as increasing diversity with regard to the stimulus languages covered, the linguistic background of the participants, or accompanying psychometric or demographic data. The spread of data across different disciplines and the lack of data sharing standards across the communities lead to many existing datasets that cannot be easily reused due to a lack of interoperability. In this work, we aim at creating more transparency and clarity with regards to existing datasets and their features across different disciplines by i) presenting an extensive overview of existing datasets, ii) simplifying the sharing of newly created datasets by publishing a living overview online, https://t.uzh.ch/1Yh , presenting over 55 features for each dataset, and iii) integrating all publicly available datasets into the Python package pymovements which offers an eye-tracking datasets library. By doing so, we aim to strengthen the FAIR principles in eye-tracking-while-reading research and promote good scientific practices, such as reproducing and replicating studies.","PeriodicalId":8717,"journal":{"name":"Behavior Research Methods","volume":"58 9","pages":""},"PeriodicalIF":5.0,"publicationDate":"2026-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13457489/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148705300","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}

引用次数: 0

PinPointer: An offline error measurement system for motor behavior research. PinPointer：用于运动行为研究的离线误差测量系统。

IF 5 2区心理学

Behavior Research Methods Pub Date : 2026-08-10 DOI: 10.3758/s13428-026-03142-6

Milton E T Marin, Michael B F Cabrera, Joshua R Samson, Juliana O Parma, Alyssa Kubota

{"title":"PinPointer: An offline error measurement system for motor behavior research.","authors":"Milton E T Marin, Michael B F Cabrera, Joshua R Samson, Juliana O Parma, Alyssa Kubota","doi":"10.3758/s13428-026-03142-6","DOIUrl":"https://doi.org/10.3758/s13428-026-03142-6","url":null,"abstract":"The ability to precisely and accurately measure the distance between an implement and target point (i.e., the radial error) is crucial to conducting rigorous motor behavior research. However, manually measuring this error after each trial may be time-consuming and error-prone. In this paper, we present PinPointer, an error measurement system that enables motor behavior researchers to quickly and easily calculate x-axis, y-axis, and radial error distances. PinPointer automatically calculates descriptive statistical measures for each error type which can be exported for additional analysis. Our inter-rater and intra-rater reliability evaluations reveal that PinPointer has perfect absolute agreement and perfect consistency across eight raters and near-perfect to perfect intra-rater absolute agreement between two ratings of the same rater. PinPointer also demonstrated perfect fidelity to real-world measurements. PinPointer's Python-based source code is available as free and open source for other researchers to use and easily modify for their own applications and requirements. In addition, the PinPointer executable can be run on Windows or MacOS without installation or knowledge of Python programming. We hope PinPointer will prove to be a useful tool for motor behavior researchers to improve the speed, accuracy, and reliability of their error measurements.","PeriodicalId":8717,"journal":{"name":"Behavior Research Methods","volume":"58 9","pages":""},"PeriodicalIF":5.0,"publicationDate":"2026-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148700577","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}

引用次数: 0

Hierarchical Bayesian modeling of interoceptive psychophysics. 内感受性心理物理学的层次贝叶斯模型。

IF 5 2区心理学

Behavior Research Methods Pub Date : 2026-08-07 DOI: 10.3758/s13428-026-03137-3

Arthur S Courtin, Jesper Fischer Ehmsen, Leah Banellis, Francesca Fardo, Micah G Allen

{"title":"Hierarchical Bayesian modeling of interoceptive psychophysics.","authors":"Arthur S Courtin, Jesper Fischer Ehmsen, Leah Banellis, Francesca Fardo, Micah G Allen","doi":"10.3758/s13428-026-03137-3","DOIUrl":"10.3758/s13428-026-03137-3","url":null,"abstract":"Interoception, the capacity to sense, perceive, and metacognitively appraise viscerosensory and homeostatic signals, is a growing focus in psychology and psychiatry. Adaptive psychophysical tasks now allow quantification of perceptual sensitivity, bias, and precision in cardiac and respiratory domains. However, accurately estimating these parameters often requires large numbers of trials or participants, posing practical challenges, especially in clinical research where participant availability and tolerance are limited. One approach to reduce participant burden while maintaining statistical rigor is to optimize data analysis. Here, we present hierarchical Bayesian models tailored for cardiac and respiratory interoceptive psychophysics that efficiently estimate sensitivity, bias, and precision at both individual and group levels. Using simulations and empirical data, we validate these models and demonstrate that they allow enhanced inference relative to conventional approaches. To support adoption, we provide openly accessible resources, including a tutorial on implementing and fitting these models in R (written with researchers without modeling expertise in mind) and an app for sample-size justification. These tools facilitate robust, efficient, and generalizable modeling of interoceptive performance, enabling rigorous studies even with limited trials or participant availability.","PeriodicalId":8717,"journal":{"name":"Behavior Research Methods","volume":"58 9","pages":""},"PeriodicalIF":5.0,"publicationDate":"2026-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13451307/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148688583","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}

引用次数: 0

Disentangling within- and between-subject correlations in cognitive models: The essential role of hierarchical estimation. 认知模型中主体内部和主体之间的关联：层次估计的基本作用。

IF 5 2区心理学

Behavior Research Methods Pub Date : 2026-08-05 DOI: 10.3758/s13428-026-03111-z

Michelle C Donzallaz, Niek Stevenson, Andrew Heathcote, Dora Matzke

{"title":"Disentangling within- and between-subject correlations in cognitive models: The essential role of hierarchical estimation.","authors":"Michelle C Donzallaz, Niek Stevenson, Andrew Heathcote, Dora Matzke","doi":"10.3758/s13428-026-03111-z","DOIUrl":"10.3758/s13428-026-03111-z","url":null,"abstract":"Cognitive models, such as evidence-accumulation models, are increasingly used in individual differences research in psychology and neuroscience. By computing correlations between cognitive model parameters across participants, researchers aim to understand how the psychological processes the parameters represent relate to one another and jointly determine performance. It is generally acknowledged that cognitive models can be challenging to estimate due to strong within-subject correlations among the parameters, which are embedded in the model's likelihood function. What is less often recognized, however, is that within-subject correlations can also distort correlations computed between parameters estimated with non-hierarchical methods, so they no longer reflect true individual differences, potentially leading to misleading conclusions. Here we illustrate this pitfall of non-hierarchical estimation and show how appropriately parameterized, descriptively adequate hierarchical models can mitigate the problem by effectively separating within- and between-subject sources of variation. We then offer recommendations for identifying and guarding against the inferential biases resulting from the strong within-subject correlations inherent in many cognitive models.","PeriodicalId":8717,"journal":{"name":"Behavior Research Methods","volume":"58 9","pages":""},"PeriodicalIF":5.0,"publicationDate":"2026-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13442499/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148676988","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}

引用次数: 0

Simulating insufficient effort responding with large language models: A persona-based prompt engineering approach. 模拟使用大型语言模型响应的工作量不足：基于人物的提示工程方法。

IF 5 2区心理学

Behavior Research Methods Pub Date : 2026-08-04 DOI: 10.3758/s13428-026-03133-7

Donghun Kim, Giryong Park, Jin Suk Park, Taehun Lee

{"title":"Simulating insufficient effort responding with large language models: A persona-based prompt engineering approach.","authors":"Donghun Kim, Giryong Park, Jin Suk Park, Taehun Lee","doi":"10.3758/s13428-026-03133-7","DOIUrl":"10.3758/s13428-026-03133-7","url":null,"abstract":"Using large language models (LLMs) with persona-based prompt engineering, this study simulates realistic insufficient effort responding (IER) data under controlled conditions, overcoming the limitations of traditional methods in ecological validity and controllability. The core objective is to generate controlled, distinct IER and non-IER datasets, thereby improving further research on detection methods. Our strategy involved systematically manipulating persona attributes, such as behavioral descriptions and psychological attributes, to produce synthetic IER data under controlled conditions. We instructed the LLM to generate one persona condition (general) with attentive response and three IER-intended persona conditions using varying combinations of IER-associated personality traits and IER behavioral descriptions (CRDO, CRPO, CRDP). To validate this approach, we first examined differences in response patterns across persona conditions using descriptive statistics and correlation analysis. Furthermore, we conducted confirmatory factor analysis (CFA) and analyzed IER detection indices to confirm that the synthetic IER data exhibited statistical traits like real IER data. Results indicate the pattern distinction among the persona conditions. Specifically, the IER-intended conditions consistently demonstrated IER characteristics, including degraded CFA model RMSEA (CRDO: 0.09; CRPO: 0.13; CRDP: 0.12) and high mean IER detection rates (n = 60; CRDO: 52.33%, CRPO: 74.16%, CRDP: 88.66%). These findings demonstrate that persona-based prompt engineering with LLMs effectively simulates realistic human IER, providing a robust and scalable approach for generating high-quality synthetic data. This methodology establishes a foundation for future research, offering potential to enhance IER detection accuracy, strengthen psychometric validation, and advance survey methodology through improved ecological validity and methodological rigor.","PeriodicalId":8717,"journal":{"name":"Behavior Research Methods","volume":"58 9","pages":""},"PeriodicalIF":5.0,"publicationDate":"2026-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148672989","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}

引用次数: 0