ISSN: 1082-989X

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Psychological Methods Q1 Unclaimed

American Psychological Association United States

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Psychological Methods is a journal indexed in SJR in History and Philosophy of Science and Psychology (miscellaneous) with an H index of 172. It has an SJR impact factor of 4,247 and it has a best quartile of Q1. It is published in English. It has an SJR impact factor of 4,247.

Type: Journal

Type of Copyright:

Languages: English

Open Access Policy:

Type of publications:

Publication frecuency: -

Categories: History and Philosophy of Science (Q1) Psychology (miscellaneous) (Q1)

Price

- €

Inmediate OA

NPD

Embargoed OA

- €

Non OA

Metrics

4,247

SJR Impact factor

172

H Index

109

Total Docs (Last Year)

187

Total Docs (3 years)

7096

Total Refs

1645

Total Cites (3 years)

184

Citable Docs (3 years)

6.43

Cites/Doc (2 years)

65.1

Ref/Doc

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Aims and Scope

Best articles by citations

The relationship among design parameters for statistical power between continuous and binomial outcomes in cluster randomized trials.

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

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

New Editor Appointed for Journal of Occupational Health Psychology.

A coefficient alpha for test-retest data.

Omnibus Hypothesis Testing in Dominance-Based Ordinal Multiple Regression.

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

Using effect sizes for research reporting: Examples using item response theory to analyze differential item functioning.

Overlap between treatment and control distributions as an effect size measure in experiments.

Using the normal quantile plot to explore meta-analytic data sets.

Information criteria for pairwise comparisons.

New Editors Appointed, 2006-2011.

SHOW MORE ARTICLES

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

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

Confidence intervals for standardized linear contrasts of means.

A proposed framework for conducting data-based test analysis.

Finding the missing science: The fate of studies submitted for review by a human subjects committee.

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

On specifying the null model for incremental fit indices in structural equation modeling.

When fit indices and residuals are incompatible.

The Role of Item Extremity in the Emergence of Keying-Related Factors: An Exploration With the Life Orientation Test.

More Powerful Tests of Predictor Subsets in Regression Analysis Under Nonnormality.

Estimating causal effects in linear regression models with observational data: The instrumental variables regression model.

"Power in randomized group comparisons: The value of adding a single intermediate time point to a traditional pretest-posttest design"": Correction to Venter et al. (2002)."