Multivariate Behavioral Research最新文献_第2页

Using Projective IRT to Evaluate the Effects of Multidimensionality on Unidimensional IRT Model Parameters. 利用射影IRT评价多维度对一维IRT模型参数的影响。

IF 5.3 3区心理学

Multivariate Behavioral Research Pub Date : 2024-12-09 DOI: 10.1080/00273171.2024.2430630

Steven P Reise, Jared M Block, Maxwell Mansolf, Mark G Haviland, Benjamin D Schalet, Rachel Kimerling

{"title":"Using Projective IRT to Evaluate the Effects of Multidimensionality on Unidimensional IRT Model Parameters.","authors":"Steven P Reise, Jared M Block, Maxwell Mansolf, Mark G Haviland, Benjamin D Schalet, Rachel Kimerling","doi":"10.1080/00273171.2024.2430630","DOIUrl":"https://doi.org/10.1080/00273171.2024.2430630","url":null,"abstract":"The application of unidimensional IRT models requires item response data to be unidimensional. Often, however, item response data contain a dominant dimension, as well as one or more nuisance dimensions caused by content clusters. Applying a unidimensional IRT model to multidimensional data causes violations of local independence, which can vitiate IRT applications. To evaluate and, possibly, remedy the problems caused by forcing unidimensional models onto multidimensional data, we consider the creation of a projected unidimensional IRT model, where the multidimensionality caused by nuisance dimensions is controlled for by integrating them out from the model. Specifically, when item response data have a bifactor structure, one can create a unidimensional model based on projecting to the general factor. Importantly, the projected unidimensional IRT model can be used as a benchmark for comparison to a unidimensional model to judge the practical consequences of multidimensionality. Limitations of the proposed approach are detailed.","PeriodicalId":53155,"journal":{"name":"Multivariate Behavioral Research","volume":" ","pages":"1-17"},"PeriodicalIF":5.3,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142803121","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

On the Importance of Considering Concurrent Effects in Random-Intercept Cross-Lagged Panel Modelling: Example Analysis of Bullying and Internalising Problems. 论随机截距交叉滞后面板模型中考虑并发效应的重要性：欺凌和内化问题的实例分析。

IF 5.3 3区心理学

Multivariate Behavioral Research Pub Date : 2024-11-26 DOI: 10.1080/00273171.2024.2428222

Lydia G Speyer, Xinxin Zhu, Yi Yang, Denis Ribeaud, Manuel Eisner

{"title":"On the Importance of Considering Concurrent Effects in Random-Intercept Cross-Lagged Panel Modelling: Example Analysis of Bullying and Internalising Problems.","authors":"Lydia G Speyer, Xinxin Zhu, Yi Yang, Denis Ribeaud, Manuel Eisner","doi":"10.1080/00273171.2024.2428222","DOIUrl":"https://doi.org/10.1080/00273171.2024.2428222","url":null,"abstract":"Random-intercept cross-lagged panel models (RI-CLPMs) are increasingly used to investigate research questions focusing on how one variable at one time point affects another variable at the subsequent time point. Due to the implied temporal sequence of events in such research designs, interpretations of RI-CLPMs primarily focus on longitudinal cross-lagged paths while disregarding concurrent associations and modeling these only as residual covariances. However, this may cause biased cross-lagged effects. This may be especially so when data collected at the same time point refers to different reference timeframes, creating a temporal sequence of events for constructs measured concurrently. To examine this issue, we conducted a series of empirical analyses in which the impact of modeling or not modeling of directional within-time point associations may impact inferences drawn from RI-CLPMs using data from the longitudinal z-proso study. Results highlight that not considering directional concurrent effects may lead to biased cross-lagged effects. Thus, it is essential to carefully consider potential directional concurrent effects when choosing models to analyze directional associations between variables over time. If temporal sequences of concurrent effects cannot be clearly established, testing multiple models and drawing conclusions based on the robustness of effects across all models is recommended.","PeriodicalId":53155,"journal":{"name":"Multivariate Behavioral Research","volume":" ","pages":"1-17"},"PeriodicalIF":5.3,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142717612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Latently Mediating: A Bayesian Take on Causal Mediation Analysis with Structured Survey Data. 潜中介：利用结构化调查数据的贝叶斯因果中介分析。

IF 5.3 3区心理学

Multivariate Behavioral Research Pub Date : 2024-11-18 DOI: 10.1080/00273171.2024.2424514

Alessandro Varacca

引用次数: 0

Latent Markov Models to Test the Strategy Use of 3-Year-Olds in a Rule-Based Feedback-Learning Task. 用潜在马尔可夫模型测试 3 岁幼儿在基于规则的反馈学习任务中的策略使用情况

IF 5.3 3区心理学

Multivariate Behavioral Research Pub Date : 2024-11-01 Epub Date: 2023-02-10 DOI: 10.1080/00273171.2023.2170963

L Lichtenberg, I Visser, M E J Raijmakers

引用次数: 0

From Behavioral Genetics to Idiographic Science: Methodological Developments and Applications Inspired by the Work of Peter C. M. Molenaar. 从行为遗传学到图像学：从行为遗传学到成语科学：受彼得-莫伦纳尔（Peter C. M. Molenaar）著作启发的方法论发展与应用》。

IF 5.3 3区心理学

Multivariate Behavioral Research Pub Date : 2024-11-01 Epub Date: 2024-08-30 DOI: 10.1080/00273171.2024.2394054

Sy-Miin Chow, Ellen L Hamaker, Nilam Ram

引用次数: 0

Homogeneity Assumptions in the Analysis of Dynamic Processes. 动态过程分析中的同质性假设。

IF 5.3 3区心理学

Multivariate Behavioral Research Pub Date : 2024-11-01 Epub Date: 2023-07-10 DOI: 10.1080/00273171.2023.2225172

Siwei Liu, Kathleen M Gates, Emilio Ferrer

{"title":"Homogeneity Assumptions in the Analysis of Dynamic Processes.","authors":"Siwei Liu, Kathleen M Gates, Emilio Ferrer","doi":"10.1080/00273171.2023.2225172","DOIUrl":"10.1080/00273171.2023.2225172","url":null,"abstract":"With the increased use of time series data in human research, ranging from ecological momentary assessments to data passively obtained, researchers can explore dynamic processes more than ever before. An important question researchers must ask themselves is, do I think all individuals have similar processes? If not, how different, and in what ways? Dr. Peter Molenaar's work set the foundation to answer these questions by providing insight into individual-level analysis for processes that are assumed to differ across individuals in at least some aspects. Currently, such assumptions do not have a clear taxonomy regarding the degree of homogeneity in the patterns of relations among variables and the corresponding parameter values. This paper provides the language with which researchers can discuss assumptions inherent in their analyses. We define strict homogeneity as the assumption that all individuals have an identical pattern of relations as well as parameter values; pattern homogeneity assumes the same pattern of relations but parameter values can differ; weak homogeneity assumes there are some (but not all) generalizable aspects of the process; and no homogeneity explicitly assumes no population-level similarities in dynamic processes across individuals. We demonstrate these assumptions with an empirical data set of daily emotions in couples.","PeriodicalId":53155,"journal":{"name":"Multivariate Behavioral Research","volume":" ","pages":"1166-1176"},"PeriodicalIF":5.3,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9820682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Touchstones of Equivalence and the Houdini Transformation. 等价试金石和胡迪尼变换。

IF 5.3 3区心理学

Multivariate Behavioral Research Pub Date : 2024-11-01 Epub Date: 2023-05-16 DOI: 10.1080/00273171.2023.2205390

Michael J Rovine, Paul A McDermott

引用次数: 0

State Space Mixture Modeling: Finding People with Similar Patterns of Change. 状态空间混合建模：寻找具有相似变化模式的人。

IF 5.3 3区心理学

Multivariate Behavioral Research Pub Date : 2024-11-01 Epub Date: 2023-10-10 DOI: 10.1080/00273171.2023.2261224

Michael D Hunter

{"title":"State Space Mixture Modeling: Finding People with Similar Patterns of Change.","authors":"Michael D Hunter","doi":"10.1080/00273171.2023.2261224","DOIUrl":"10.1080/00273171.2023.2261224","url":null,"abstract":"Increasingly, behavioral scientists encounter data where several individuals were measured on multiple variables over numerous occasions. Many current methods combine these data, assuming all individuals are randomly equivalent. An extreme alternative assumes no one is randomly equivalent. We propose state space mixture modeling as one possible compromise. State space mixture modeling assumes that unknown groups of people exist who share the same parameters of a state space model, and simultaneously estimates both the state space parameters and group membership. The goal is to find people that are undergoing similar change processes over time. The present work demonstrates state space mixture modeling on a simulated data set, and summarizes the results from a large simulation study. The illustration shows how the analysis is conducted, whereas the simulation provides evidence of its general validity and applicability. In the simulation study, sample size had the greatest influence on parameter estimation and the dimension of the change process had the greatest impact on correctly grouping people together, likely due to the distinctiveness of their patterns of change. State space mixture modeling offers one of the best-performing methods for simultaneously drawing conclusions about individual change processes while also analyzing multiple people.","PeriodicalId":53155,"journal":{"name":"Multivariate Behavioral Research","volume":" ","pages":"1253-1269"},"PeriodicalIF":5.3,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41184181","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Integrating Intra- and Interindividual Phenomena in Psychological Theories. 在心理学理论中整合个体内部和个体之间的现象。

IF 5.3 3区心理学

Multivariate Behavioral Research Pub Date : 2024-11-01 Epub Date: 2024-07-11 DOI: 10.1080/00273171.2024.2336178

Denny Borsboom, Jonas Haslbeck

{"title":"Integrating Intra- and Interindividual Phenomena in Psychological Theories.","authors":"Denny Borsboom, Jonas Haslbeck","doi":"10.1080/00273171.2024.2336178","DOIUrl":"10.1080/00273171.2024.2336178","url":null,"abstract":"Psychological science is divided into two distinct methodological traditions. One tradition seeks to understand how people function at the individual level, while the other seeks to understand how people differ from each other. Methodologies that have grown out of these traditions typically rely on different sources of data. While both use statistical models to understand the structure of the data, and these models are often similar, Molenaar (2004) showed that results from one type of analysis rarely transfer to the other, unless unrealistic assumptions hold. This raises the question how we may integrate these approaches. In this paper, we argue that formalized theories can be used to connect intra- and interindividual levels of analysis. This connection is indirect, in the sense that the relationship between theory and data is best understood through the intermediate level of phenomena: robust statistical patterns in empirical data. To illustrate this, we introduce a distinction between intra- and interindividual phenomena, and argue that many psychological theories will have implications for both types of phenomena. Formalization provides us with a methodological tool for investigating what kinds of intra- and interindividual phenomena we should expect to find if the theory under consideration were true.","PeriodicalId":53155,"journal":{"name":"Multivariate Behavioral Research","volume":" ","pages":"1290-1309"},"PeriodicalIF":5.3,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141581494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Binding the Person-Specific Approach to Modern AI in the Human Screenome Project: Moving past Generalizability to Transferability. 在人类屏幕组项目中将针对具体个人的方法与现代人工智能结合起来：从通用性到可转移性。

IF 5.3 3区心理学

Multivariate Behavioral Research Pub Date : 2024-11-01 Epub Date: 2023-07-13 DOI: 10.1080/00273171.2023.2229305

Nilam Ram, Nick Haber, Thomas N Robinson, Byron Reeves

引用次数: 0