{"status":"public","author":[{"full_name":"Niemand, Thomas","first_name":"Thomas","last_name":"Niemand"},{"orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0002-7190-7510/work/191473702","first_name":"Nadine","last_name":"Schröder","orcid":"0000-0002-7190-7510","full_name":"Schröder, Nadine","id":"260490"},{"last_name":"Falke","first_name":"Andreas","full_name":"Falke, Andreas"},{"first_name":"Robert","last_name":"Mai","full_name":"Mai, Robert"}],"type":"conference","date_updated":"2025-10-18T12:09:12Z","conference":{"end_date":"2025-07-18","name":"International Meeting of the Psychometric Society 2025","location":"Minneapolis","start_date":"2025-07-15"},"year":"2025","department":[{"_id":"4b2dc5c9-bee3-11eb-b75f-ecc80f94fb21"}],"citation":{"ama":"Niemand T, Schröder N, Falke A, Mai R. Advancing Contingent Paradigms Evaluating Model Fit in Structural Equation Modeling. In: ; 2025.","alphadin":"<span style=\"font-variant:small-caps;\">Niemand, Thomas</span> ; <span style=\"font-variant:small-caps;\">Schröder, Nadine</span> ; <span style=\"font-variant:small-caps;\">Falke, Andreas</span> ; <span style=\"font-variant:small-caps;\">Mai, Robert</span>: Advancing Contingent Paradigms Evaluating Model Fit in Structural Equation Modeling. In: , 2025","apa":"Niemand, T., Schröder, N., Falke, A., &#38; Mai, R. (2025). Advancing Contingent Paradigms Evaluating Model Fit in Structural Equation Modeling. Presented at the International Meeting of the Psychometric Society 2025, Minneapolis.","mla":"Niemand, Thomas, et al. <i>Advancing Contingent Paradigms Evaluating Model Fit in Structural Equation Modeling</i>. 2025.","ieee":"T. Niemand, N. Schröder, A. Falke, and R. Mai, “Advancing Contingent Paradigms Evaluating Model Fit in Structural Equation Modeling,” presented at the International Meeting of the Psychometric Society 2025, Minneapolis, 2025.","chicago":"Niemand, Thomas, Nadine Schröder, Andreas Falke, and Robert Mai. “Advancing Contingent Paradigms Evaluating Model Fit in Structural Equation Modeling,” 2025.","short":"T. Niemand, N. Schröder, A. Falke, R. Mai, in: 2025.","bibtex":"@inproceedings{Niemand_Schröder_Falke_Mai_2025, title={Advancing Contingent Paradigms Evaluating Model Fit in Structural Equation Modeling}, author={Niemand, Thomas and Schröder, Nadine and Falke, Andreas and Mai, Robert}, year={2025} }"},"language":[{"iso":"eng"}],"_id":"6180","abstract":[{"lang":"eng","text":"Structural equation modeling (SEM) is a cornerstone in social and behavioral research. A central aspect of SEM\r\nis assessing global model fit, which determines how well a model represents the data. While traditional ap\u0002proaches proposing rigid cutoffs (most importantly, Hu & Bentler, 1999) are widely used for decades, recent\r\nadvancements have introduced more flexible and dynamic alternatives that simulate effective cutoffs. Two\r\nprominent approaches are Flexible Cutoffs (FCO; Niemand & Mai, 2018) and Dynamic Cutoffs (DFI; McNeish &\r\nWolf, 2023), which aim to provide more accurate assessments of model fit by generating simulated cutoffs from\r\na given model and data. Yet, they rest on notable conceptual differences for determining the cutoffs by empha\u0002sizing either Type I or Type II errors, with specific strengths but also limitations. While FCO only controls for\r\nType I error, DFI corrects for both error types, yet does not provide cutoffs when the overlap between the simu\u0002lated correct and misspecified models is substantial. The present study suggests incorporating both approaches\r\nthrough revising the decision models (FCO2) or minimizing Type I and II errors (cut point, CP). With a compre\u0002hensive simulation study, we conclude that FCO2 (mean = .837) and CP (mean = .866) outperform DFI (mean =\r\n.579) in overall accuracy, largely due to DFI not considering many sources of misfit. These findings highlight the\r\nimportance of carefully considering the underlying conditions and a cutoff’s generalizability, ultimately guiding\r\nresearchers in making informed decisions about their analyses."}],"title":"Advancing Contingent Paradigms Evaluating Model Fit in Structural Equation Modeling","date_created":"2025-09-09T09:46:24Z","user_id":"220548"}