Structural Equation Modeling A Multidisciplinary Journal
Taylor & Francis
About the journal
Structural Equation Modeling A Multidisciplinary Journal is a journal published by Taylor & Francis in United States. It is listed in PUBMED according to the sources read. Facts are reproduced as recorded at their sources with their capture dates; PublishLens indicators are available after sign-in.
Basic facts
- Publisher
- Taylor & Francis
- ISSN
- 1070-5511 · 1532-8007
- Country
- United States
- Access
- Not open access / not declared
- Declared peer-review model
- peer_review
- Official website
- https://www.tandfonline.com/toc/hsem20/current
Index listings
- PUBMED · 2003-04-01
- Indexing
- PUBMED
- APC
- —
- Declared review time (DOAJ)
- —
- Activity (OpenAlex)
- Active — latest works 2026
- PublishLens list status
- Shown after sign-in
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Methodology signals (dated facts from their sources)
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Descriptive metadata from public sources (DOAJ, OpenAlex, PubMed) as of the capture date shown — contains no assessment or judgment.
Works in OpenAlex
1647
Last recorded publication year
2026
h-index
165
i10-index
984
From OpenAlex open data (CC0).
Editorial & policy5
- Observed digital preservation (Keepers registry)— snapshot 2026-09-21
- CLOCKSSPortico
- Norwegian register (HK-dir)— 2027
- Level 2 — top tier (~20% of the field's channels)
- Open references deposited at Crossref
- 99%
- ORCID iDs in current deposits
- 73%
- Enrolled in Crossref Similarity Check
- ✓
- Deposits licence metadata at Crossref
- ✓
Identity & continuity3
- Alternate titles
- SEM
- Source type
- journal
- NLM unique ID (PubMed)
- 100963000
Classification(no data)
No data available to the platform for this group
No platform data for: Classification — absence is not a judgment about the journal.
Subject areas
- Psychometric Methodologies and Testing
- Psychometric Methodologies and Testing
- Statistical Methods and Bayesian Inference
- Statistical Methods and Bayesian Inference
- Advanced Statistical Modeling Techniques
- Advanced Statistical Modeling Techniques
- Mental Health Research Topics
- Mental Health Research Topics
Show all subjects (50)
- Advanced Causal Inference Techniques
- Advanced Statistical Methods and Models
- Advanced Causal Inference Techniques
- Advanced Statistical Methods and Models
- Statistical Methods and Inference
- Statistical Methods and Inference
- Bayesian Modeling and Causal Inference
- Bayesian Modeling and Causal Inference
- Bayesian Methods and Mixture Models
- Bayesian Methods and Mixture Models
- Behavioral Health and Interventions
- Behavioral Health and Interventions
- Sensory Analysis and Statistical Methods
- Sensory Analysis and Statistical Methods
- Statistical Methods and Applications
- Statistical Methods and Applications
- Multi-Criteria Decision Making
- Multi-Criteria Decision Making
- Spatial and Panel Data Analysis
- Spatial and Panel Data Analysis
- Optimal Experimental Design Methods
- Optimal Experimental Design Methods
- Cognitive Abilities and Testing
- Cognitive Abilities and Testing
- Statistical Methods in Clinical Trials
- Statistical Methods in Clinical Trials
- Economic and Environmental Valuation
- Economic and Environmental Valuation
- Diverse Scientific and Economic Studies
- Technology Adoption and User Behaviour
- Diverse Scientific and Economic Studies
- Technology Adoption and User Behaviour
- Human auditory perception and evaluation
- Human auditory perception and evaluation
- Educational Robotics and Engineering
- Educational Robotics and Engineering
- Behavioral and Psychological Studies
- Behavioral and Psychological Studies
- Reliability and Agreement in Measurement
- Qualitative Comparative Analysis Research
- Qualitative Comparative Analysis Research
- Reliability and Agreement in Measurement
Community confirmations — what users saw in MJL or Scopus Sources; not platform verification and never part of any score.
The journal's record in other sources:Web of Science MJLDOAJ