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Sociological Methodology (SM)

Publisher :

SAGE Publications Ltd

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Peer reviewed only
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Open Access
  • Sociological
  • Political Science
e-ISSN :

1467-9531

Issue Frequency :

Yearly

Impact Factor :

4.1

p-ISSN :

0081-1750

Est. Year :

1990

Mobile :

18008187243

Country :

United States

Language :

English

APC :

YES

Impact Factor Assignee :

Google Scholar

Email :

SocMethodology@osu.edu

Journal Descriptions

Sociological Methodology (SM) is the only American Sociological Association periodical publication devoted entirely to research methods. It is a compendium of new and sometimes controversial advances in social science methodology. Contributions come from diverse areas and have something new and useful--and sometimes surprising--to say about a wide range of methodological topics. SM seeks contributions to qualitative, quantitative, and mixed methods that address the full range of methodological problems confronted by empirical research in the social sciences, including conceptualization, data analysis, data collection, measurement, modeling, and research design. The journal provides a forum for engaging the philosophical issues that underpin sociological research. Papers published in SM are original methodological contributions, including new methodological developments, applications of recent developments that provide new sociological insights, and critical evaluative discussions of research practices and traditions. SM encourages the inclusion of applications to real-world sociological data.


Sociological Methodology (SM) is :

International, Peer-Reviewed, Open Access, Refereed, Sociological, Political Science , Online or Print, Yearly Journal

UGC Approved, ISSN Approved: P-ISSN - 0081-1750, E-ISSN - 1467-9531, Established in - 1990, Impact Factor - 4.1

Not Provide Crossref DOI

Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE

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Publications of SM

  • dott image August, 2000

Three Likelihood-Based Methods for Mean and Covariance Structure Analysis with Nonnormal Missing Data

Survey and longitudinal studies in the social and behavioral sciences generally contain missing data. Mean and covariance structure models play an important role in analyzing such data. Two ...

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