Impact Factor
3.33
Journal Citation Impact
Estimated influence, citation density, publishing volume, and citation integrity from the analytics table.
Citation rate
3.19
398 total citations
h5-index
30
h5 depth signal
Cited share
65.5%
91 of 139
Total citations
398
Citation footprint
Metric signal
2.48
External metric anchor
Self-citation
13.6%
54 self-citations
Citations Trend
Monthly Publications Cadence
Citing Geographic Demographics
United States
408
Netherlands
115
Germany
75
China
66
Italy
43
Citing Fields of Research
Statistical Methods
425
Psychiatry & Psychology
376
AI & Machine Learning
156
Education & Pedagogy
76
Neurosciences
48
Publishing Activity & Reach
Volume, recency, access pattern, and citing-community signals from the journal analytics record.
All-time article footprint
4,220
Articles tracked across the journal lifetime
Indexed publication set
139
91 cited publications
Last 12 months
95
7.9 publications/month
Open access share
100.0%
95 OA publications in the last year
Leading citing country
United States
408 citing publications
Leading citing field
Statistical Methods
425 citing publications
Latest tracked publication
16 October 2026
10 recent records available
Coverage & Indexing History
v30n3,Sept. 1965-v33n3,Sept. 1968; v78n1, Jan. 2013-
v30n3,Sept. 1965-v33n3,Sept. 1968; v78n1, Jan. 2013-
Active Coverage
Active Coverage
Active Coverage
Research Focus & Classification
Indexed Subjects
Statistical Methods
Psychiatry & Psychology
AI & Machine Learning
Issuing & Sponsoring Bodies
Contributor
Psychometric Society
Broad Categories
Behavioral Sciences
Psychiatry & Psychology
Statistical Methods
Neurosciences
MeSH Descriptors
Psychometrics
Latest Publications
Recent article records with DOI-first linking and condensed abstracts.
01
DOI 10.1017/psy.2026.10143
Open DOI
A Copula-Based Joint Model for Speed and Accuracy
This study proposes a copula-based model that relaxes the multivariate normality assumption among latent traits in the joint modeling of multimodal data, such as item response and response times. In the structural model, the joint distri...
02
DOI 10.1017/psy.2026.10147
Open DOI
Familiarity and Liking in Classroom Networks: A Multilayer Analysis of Rated Peer Relations
Many social network datasets consist of ordinal ratings exchanged among the same set of individuals on multiple relational dimensions. Such data are common in educational and behavioral research but pose challenges due to ordinal measure...
03
DOI 10.1017/psy.2026.10145
Open DOI
Preference or Confidence? Untangling Heterogeneity in Paired Comparisons
Paired comparison models analyze data from experiments in which items are compared two at a time. Each item is often associated with a strength parameter, and parameter differences determine choice probabilities. The parameters carry two...
04
DOI 10.1017/psy.2026.10148
Open DOI
Introduction to the September, 2026 Issue
05
DOI 10.1017/psy.2026.10146
Open DOI
Investigating Within-Person Variation in Response Processes for Likert-Scale Data with a Response-Level Mixture IRTree Model
Self-report scales are central to psychological and behavioral science, yet most analyses assume a single response process. In practice, respondents may follow cognitively distinct processes to answer the same item, and a respondent may ...
06
DOI 10.1017/psy.2026.10144
Open DOI
Geodesic Ability in Unidimensional IRT Models: A Geometric Perspective on Parametrization Invariance
Psychometric models use latent variables to quantify psychological traits, but statistical and substantive inferences based on these variables may depend on how the latent scale is parametrized. Consequently, the same fitted model can yi...
07
DOI 10.1017/psy.2026.10134
Open DOI
A Cumulative Ordered Spike-and-Slab Prior for Adaptive Dimension Selection in Joint Latent Space Models
Network models are increasingly vital in psychometrics for analyzing relational data, which are often accompanied by high-dimensional node attributes. Joint latent space models provide an elegant framework for integrating these data sour...
08
09
DOI 10.1017/psy.2026.10141
Open DOI
Conditional Standard Error of Measurement as an Estimand of Individual Score Precision: Remarks on Pfadt et al. from an Operator-Theoretic Perspective
This commentary supports Pfadt et al.’s (2026, Psychometrika, 2026 , 1–35. https://doi.org/10.1017/psy.2026.10081) recommendation that individual score interpretation should rely on conditional standard errors of measurement rather than ...
10
DOI 10.1017/psy.2026.10140
Open DOI
Real-Time Monitoring of Item Parameter Drift in CD-CAT via Adaptive CUSUM Charts
Item parameter drift (IPD) poses a persistent threat to measurement validity in computerized adaptive testing (CAT). While cumulative sum (CUSUM)-based online calibration methods have shown promise for real-time IPD monitoring within the...
Bibliographical & Catalog Notes
Includes list of members of the society.
Also issued online.
Official journal of the Psychometric Society.
Indexes: Vol. 1-10, 1936-45. 1 v.