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verified SJR 4,925 · Q1 • database Scopus / SJR & Web of Science indexed
Psychological Methods
United States · American Psychological Assoc...
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Psychological Methods

Psychological Methods is a journal indexed in SJR in History and Philosophy of Science and Psychology (miscellaneous) with an H index of 195. It has an SJR impact factor of 4,925 and it has a best quartile of Q1. It is published in English. It has an SJR impact factor of 4,925.

ISSN: 1082-989X
Editorial: American Psychological Association
Category: History and Philosophy of Science
Indexation: verifiedScopus / SJR verifiedWeb of Science

Unclaimed profile — some fields may be incomplete.

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schedule Datos CoP · solo campos en BD
SJR Impact Factor trending_up
4,925 Q1
H-index 195
Tasa de Aceptación pie_chart
15% Alta selectividad
Fuente Acceptance_Rate
Tiempo a publicación hourglass_top
NPD
Campo Sin dato
Coste de Publicación (APC) payments
NPD Subscription
Ruta Non-OA NPD

Metrics

Campos Scimago / CoP — sin series inventadas

Scopus / SJR Web of Science

SJR Impact

4,925

H-index

195

Docs (year)

85

Docs 3y

285

Total refs

5714

Cites 3y

2664

Citable 3y

284

Cites/Doc 2y

8.19

Ref/Doc

67.22

Immediate OA

—

Embargoed OA

NPD

Non OA / Submission

—

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Best articles by citations

A Note on Testing for Homogeneity Among Effect Sizes Sharing a Common Control Group.

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When fit indices and residuals are incompatible.

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Combining independent p values: Extensions of the Stouffer and binomial methods.

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Clusterwise simultaneous component analysis for analyzing structural differences in multivariate multiblock data.

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Clustering Binary Data in the Presence of Masking Variables.

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Causal inference in randomized experiments with mediational processes.

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Campbell and Rubin: A primer and comparison of their approaches to causal inference in field settings.

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Building path diagrams for multilevel models.

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Analysis of longitudinal data within accelerated longitudinal designs.

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A trifactor model for integrating ratings across multiple informants.

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A Realistic Perspective on Pattern Representation in Growth Data: Comment on Bauer and Curran (2003).

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A proposed framework for conducting data-based test analysis.

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A primer on two-level dynamic structural equation models for intensive longitudinal data in Mplus.

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"Asymptotically distribution-free (ADF) interval estimation of coefficient alpha"": Correction."

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A multivariate mixed linear model for meta-analysis.

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A more general model for testing measurement invariance and differential item functioning.

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A Latent Markov Model for the Analysis of Longitudinal Data Collected in Continuous Time: States, Durations, and Transitions.

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A double bootstrap method to analyze linear models with autoregressive error terms.

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A diagnostic procedure to detect departures from local independence in item response theory models.

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A comparison of procedures to test for moderators in mixed-effects meta-regression models.

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A comparison of methods for estimating quadratic effects in nonlinear structural equation models.

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A coefficient alpha for test-retest data.

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"Repeated-Measures Contrasts for ""Multiple-Pattern"" Hypotheses."

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"Psychometric approaches for developing commensurate measures across independent studies: Traditional and new models"": Clarification to Bauer and Hussong (2009)."

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