
Academic Journal
Q1Applied Psychological Measurement
About Applied Psychological Measurement
About Applied Psychological Measurement
Applied Psychological Measurement is a peer-reviewed scholarly journal published by SAGE Publications Inc. (United States). It focuses on Q1. Publication coverage spans 1977-2026.
Key indicators: ISSN 0146-6216, 1552-3497; H-index 79.
Understanding This Journal's Metrics
Journal metrics help researchers assess fit, but they must be interpreted in context:
- H-index (79): Strong citation impact — 79 articles cited at least 79 times each, reflecting solid influence.
Publishing in Applied Psychological Measurement
An established venue in its field. The journal welcomes solid, well-executed research. Ensure your manuscript fits the stated scope and follows author guidelines carefully.
- Scope fit: Confirm your research aligns with Q1. Off-scope manuscripts are typically desk-rejected quickly.
- Author guidelines: Follow formatting, reference style, and article-type requirements exactly — non-compliant manuscripts may be returned without review.
Is This Journal Right for Your Paper?
- Audience match: Will the journal's readers cite and build on your findings?
- Timeline: Higher-tier journals mean longer review and higher rejection risk. Balance prestige against your schedule.
- Indexing: Confirm indexing in Web of Science, Scopus, and PubMed (if biomedical) meets your institutional requirements.
- Open access needs: Check funder mandates and whether the journal offers compliant OA options.
Frequently Asked Questions
What is the ISSN of Applied Psychological Measurement?
0146-6216, 1552-3497.
Who publishes Applied Psychological Measurement?
SAGE Publications Inc..
What are Applied Psychological Measurement's metrics?
H-index 79.
Is Applied Psychological Measurement peer-reviewed?
Yes — it is a peer-reviewed scholarly journal indexed in major academic databases.
Source-backed journal facts
Topics in published research
Psychometric Methodologies and Testing; Advanced Statistical Modeling Techniques; Advanced Statistical Methods and Models; Statistical Methods and Bayesian Inference; Multi-Criteria Decision Making; Cognitive Abilities and Testing.
OpenAlex classifies topics from published works. These topics are not the publisher’s official aims and scope.
Reported open-access list prices
3,650.00 USD; 2,676.00 GBP
APC list prices reported by OpenAlex, which obtains this information from DOAJ. Confirm current charges, taxes, waivers and eligibility with the publisher; this is not a fee quotation.
Source: OpenAlex source record. Retrieved 2026-10-03. Source record updated 2026-10-02. OpenAlex metrics are different from SCImago metrics and the Clarivate Journal Impact Factor.
Journal Metrics
Quartile, SJR and the listed SCImago H-index use the 2025 imported SCImago dataset. A quartile may vary by subject category. Values without a source or reporting year are unverified historical entries. Verify the current Journal Impact Factor with Clarivate or the publisher before using it.
Aims & Scope
The publisher’s official aims and scope have not yet been verified for this profile. Use the journal website to check subject fit and accepted article types before submitting.
Recent Research Articles
Latest publications matched automatically by ISSN.
ierfair: An R Package for Ability-Conditioned Fairness Diagnostics of Insufficient-Effort Responding on Background Questionnaires
Diana Rosita, Muhammad Sukirlan, Nurlaksana Eko Rusminto, Budi Kadaryanto et al.
2026-10-10 · DOI: 10.1177/01466216261498417grmcor : An R Package for Range-Restriction Bias Correction of Discrimination Parameters in the Graded Response Model
Hikmayanti Arifuddin, Abdul Saman, Mansyur, Herman et al.
2026-10-07 · DOI: 10.1177/01466216261492527Selecting Between Whole-Sample and Split-Sample Strategies for Exploratory and Confirmatory Factor Analyses: Guidance for Psychometric Scale Development
Arash Arianpoor, Craig S. Webster, Silas C. R. Taylor, Boaz Shulruf et al.
2026-09-30 · DOI: 10.1177/01466216261492558Identifying Item Preknowledge Through Convergence Iteration Count Analysis in Ability Estimation
Han Han, Ruihang He, Yongze Xu
2026-09-30 · DOI: 10.1177/01466216261489271A Comparative Study on the Detection Efficacy of CUSUM and CPA in Multidimensional Tests
Xinyu Liu, Yinhong He, Yuxing Zhang, Hengxin Pang et al.
2026-09-30 · DOI: 10.1177/01466216261488861cdcatR: An R Package for Developing and Evaluating Cognitive Diagnosis Computerized Adaptive Tests
Miguel A. Sorrel, Pablo Nájera, Francisco J. Abad
2026-09-28 · DOI: 10.1177/01466216261493974How Likely Are Your Future Participants to Meet the Same Measurement Criterion? The R Package bruno
Irene Gianeselli
2026-09-24 · DOI: 10.1177/01466216261490071csemTools: R Package for Estimating Conditional Standard Errors of Measurement for Test and Scale Scores
César Merino-Soto
2026-09-16 · DOI: 10.1177/01466216261490085copyfair: An R Package for Item and Ability Conditioned Answer-Copying Detection in Multiple-Choice Examinations
Hera Hastuti, Tri Zahra Ningsih, Loso Judijanto, Ahmad Syaf’i et al.
2026-09-16 · DOI: 10.1177/01466216261488632ICC-Based Projection of IRT/MIRT Response Functions Into DINA-Style Diagnostic Summaries
Tien-Yu Hsieh
2026-09-09 · DOI: 10.1177/01466216261487591facomplex: R Package for Analysis of Complexity and Simplicity in Factor Analysis
César Merino-Soto, Sergio Domínguez-Lara
2026-09-03 · DOI: 10.1177/01466216261485859condfair: An R Package for Ability-Conditioned Fairness and Explanation Diagnostics in Automated Scoring
Tri Zahra Ningsih, Aman Aman, Ahmad Nasrulloh
2026-08-24 · DOI: 10.1177/01466216261484166projectCAT: A Shiny Application for Computerized Adaptive Testing with Sympson-Hetter Exposure Control, Content Balancing, and Item Selection Method Comparison
Amran Hapsan, Endang Mulyatiningsih, Kana Hidayati, Indriani H. Ismail et al.
2026-08-16 · DOI: 10.1177/01466216261478224A General Approach for Estimating Projective IRT Models
R. Philip Chalmers, Carl F. Falk, Steve P. Reise
2026-08-13 · DOI: 10.1177/01466216261474955Nestimate : An R Package for dynamic, probabilistic, and high order network analysis
Mohammed Saqr, Sonsoles López-Pernas, Kamila Misiejuk
2026-07-26 · DOI: 10.1177/01466216261472019avbirt: A Python Package for Flexible Item Factor Analysis with Adversarial Variational Bayes
Nanyu Luo, Feng Ji
2026-07-23 · DOI: 10.1177/01466216261471170projectgst : A Shiny Application for Generalizability Study Analysis in Nonformal Education Settings
Indriani H Ismail, Soni Nopembri, Muhammad Nursa’ban, Amran Hapsan et al.
2026-07-23 · DOI: 10.1177/01466216261471172Evaluating AI-Based Automated Essay Scoring Through Signal Detection Theory: Beyond Aggregate Agreement Metrics
Xiaoliang Zhou
2026-07-23 · DOI: 10.1177/01466216261471171mfrmr: Estimation and Diagnostics for Many-Facet Measurement Models in R
Ryuya Komuro
2026-07-21 · DOI: 10.1177/01466216261470436varGuid: R and Python Implementations of Variance-Guided Regression for Robust Effect-Size Estimation in Linear Models
Sibei Liu, Zihao Wang, Min Lu
2026-07-15 · DOI: 10.1177/01466216261470433Reviews
Community Reviews
Version History
October 9, 2026 at 7:49 pm
September 25, 2026