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Journal Photo for Psychological Methods
Peer reviewed only Open Access

Psychological Methods (PM)

Publisher : American Psychological Association
Psychological Philosophy of Science History
e-ISSN 1939-1463
p-ISSN 1082-989X
Issue Frequency Bi-Monthly
Impact Factor 11.5
Est. Year 1996
Country United States
Language English
APC YES
Impact Factor Assignee Google Scholar
Email steinleyd@missouri.edu

Journal Descriptions

Psychological Methods ® is devoted to the development and dissemination of methods for collecting, analyzing, understanding, and interpreting psychological data. Its purpose is the dissemination of innovations in research design, measurement, methodology, and quantitative and qualitative analysis to the psychological community; its further purpose is to promote effective communication about related substantive and methodological issues. The audience is expected to be diverse and to include those who develop new procedures, those who are responsible for undergraduate and graduate training in design, measurement, and statistics, as well as those who employ those procedures in research. The journal solicits original theoretical, quantitative, empirical, and methodological articles; reviews of important methodological issues; tutorials; articles illustrating innovative applications of new procedures to psychological problems; articles on the teaching of quantitative methods; and reviews of statistical software. Submissions will be judged on their relevance to understanding psychological data, methodological correctness, and accessibility to a wide audience. Where appropriate, submissions should illustrate through concrete example how the procedures described or developed can enhance the quality of psychological research.

Psychological Methods (PM) is :-

  • International, Peer-Reviewed, Open Access, Refereed, Psychological, Philosophy of Science, History , Online or Print , Bi-Monthly Journal

  • UGC Approved, ISSN Approved: P-ISSN P-ISSN: 1082-989X, E-ISSN: 1939-1463, Established: 1996, Impact Factor: 11.5
  • Does Not Provide Crossref DOI
  • Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE

Indexing

Role In Research Journal

Publications of PM

Peter M. Bentler December, 1998
This study evaluated the sensitivity of maximum likelihood (ML)-, generalized least squares (GLS)-, and asymptotic distribution-free (ADF)-based fit indices to model misspecification, under ...
Peter M. Bentler August, 2022
n real data analysis with structural equation modeling, data are unlikely to be exactly normally distributed. If we ignore the non-normality reality, the parameter estimates, standard error ...
Stephen G. West March, 2002
A Monte Carlo study compared 14 methods to test the statistical significance of the intervening variable effect. An intervening variable (mediator) transmits the effect of an independent var...
Stephen G. West March, 1996
Monte Carlo computer simulations were used to investigate the performance of three χ–2 test statistics in confirmatory factor analysis (CFA). Normal theory maximum likelihood χ–2 (ML),...
Stephen G. West March, 2000
Scaling of time (age) in latent growth curve (LGC) models has important implications for studies of development. When participants begin a study at different ages, sample means and covarianc...
Stephen G. West March, 2017
A goal of developmental research is to examine individual changes in constructs over time. The accuracy of the models answering such research questions hinges on the assumption of longitudin...
Stephen G. West March, 2009
Evaluating overall model fit for growth curve models involves 3 challenging issues. (a) Three types of longitudinal data with different implications for model fit may be distinguished: balan...
Stephen G. West March, 2010
Donald Campbell’s approach to causal inference (D. T. Campbell, 1957; W. R. Shadish, T. D. Cook, & D. T. Campbell, 2002) is widely used in psychology and education, whereas Donald Rubin’...