Survey Methodology

Scope & Guideline

Bridging theory and practice in survey methodology.

Introduction

Welcome to the Survey Methodology information hub, where our guidelines provide a wealth of knowledge about the journal’s focus and academic contributions. This page includes an extensive look at the aims and scope of Survey Methodology, highlighting trending and emerging areas of study. We also examine declining topics to offer insight into academic interest shifts. Our curated list of highly cited topics and recent publications is part of our effort to guide scholars, using these guidelines to stay ahead in their research endeavors.
LanguageEnglish
ISSN0714-0045
PublisherSTATISTICS CANADA
Support Open AccessNo
CountryCanada
TypeJournal
Convergefrom 1987 to 1988, 1992, from 2008 to 2024
AbbreviationSURV METHODOL / Surv. Methodol.
Frequency2 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address100 TUNNEYS PASTURE DRIVEWAY, OTTAWA, ONTARIO K1A 0T6, CANADA

Aims and Scopes

The journal 'Survey Methodology' is dedicated to advancing the field of survey research and statistical methodologies. It emphasizes innovative approaches and the development of new techniques for sampling, data collection, and analysis, particularly in the context of non-probability samples and other emerging challenges in survey methodology.
  1. Non-probability Sampling Techniques:
    Focuses on the methodologies for handling non-probability samples, including inverse probability weighting and propensity score methods, to ensure the validity of survey results.
  2. Statistical Inference:
    Covers various statistical inference methods applicable to survey data, addressing challenges such as non-response and undercoverage.
  3. Bayesian Approaches:
    Explores Bayesian methods for survey analysis, including small area estimation, predictive inference, and handling complex survey designs.
  4. Modeling and Estimation Techniques:
    Investigates advanced modeling techniques for survey data, including multilevel models, time series analysis, and model-assisted estimators.
  5. Data Integration and Privacy:
    Examines the integration of survey data with other data sources, as well as issues related to statistical disclosure control and privacy.
The journal has seen a rise in interest in specific themes that reflect current challenges and innovations in the field of survey methodology. These emerging themes are critical for researchers aiming to address contemporary issues in survey data collection and analysis.
  1. Handling Non-probability Samples:
    There is an increasing focus on developing methods for effectively analyzing non-probability samples, particularly through inverse probability weighting and propensity score adjustments.
  2. Bayesian Methods for Survey Analysis:
    Emerging interest in applying Bayesian methods to survey data, which offers new avenues for inference and estimation, especially in small area estimation.
  3. Integration of Multiple Data Sources:
    A growing trend towards the integration of survey data with big data and administrative records to enhance the robustness of statistical conclusions.
  4. Statistical Disclosure Control:
    Heightened attention on privacy issues and statistical disclosure control methods, particularly in light of increasing concerns about data privacy.
  5. Causal Inference in Surveys:
    An emerging theme is the application of causal inference techniques to survey data, which enhances the understanding of relationships within the data.

Declining or Waning

While certain themes have gained prominence in recent years, others appear to be declining in focus within the journal. This decline may reflect shifts in research priorities or the maturation of established areas.
  1. Traditional Probability Sampling Methods:
    There is a noticeable decrease in the publication of papers focusing on traditional probability sampling methods, as the emphasis has shifted towards addressing non-probability sampling challenges.
  2. General Statistical Techniques:
    Papers that discuss generic statistical techniques without specific application to survey methodology are less frequently published, indicating a trend towards more specialized discussions.
  3. Basic Descriptive Statistics:
    The use of basic descriptive statistics in survey research is declining, with more emphasis on complex modeling and inferential techniques.

Similar Journals

SORT-Statistics and Operations Research Transactions

Connecting Researchers with Cutting-edge Statistical Strategies.
Publisher: INST ESTADISTICA CATALUNYA-IDESCATISSN: 1696-2281Frequency: 2 issues/year

SORT - Statistics and Operations Research Transactions, published by INST ESTADISTICA CATALUNYA-IDESCAT, is a distinguished academic journal that serves as a vital platform for disseminating cutting-edge research in the fields of statistics and operations research. Established in 2003, SORT has established itself as a reputable journal, currently spanning through to the year 2024. It is indexed in Scopus with commendable rankings, including a Q3 quartile in Management Science and Operations Research, as well as in Statistics and Probability. With a dedicated editorial team and a commitment to scholarly excellence, SORT aims to foster a deeper understanding of statistical methodologies and operational strategies. This journal provides an essential resource for academics, researchers, and practitioners alike, keen on advancing knowledge in their respective disciplines. While SORT offers robust general access options, it emphasizes the importance of open discussion and innovation in addressing contemporary challenges in data analysis and decision-making.

Journal of Probability and Statistics

Bridging Theory and Application in Statistics
Publisher: HINDAWI LTDISSN: 1687-952XFrequency: 1 issue/year

Journal of Probability and Statistics, published by HINDAWI LTD, is a distinguished open-access journal that has been serving the academic community since 2009. With an ISSN of 1687-952X and E-ISSN 1687-9538, this journal facilitates the dissemination of research covering various foundational and applied aspects of probability and statistics. As researchers, professionals, and students in the fields of mathematics and statistical sciences seek to advance their knowledge and understanding, this journal offers a unique platform for innovative studies and comprehensive reviews. Although the journal has been discontinued from Scopus from 2009 to 2020, it continues to play an essential role within its niche, despite its Scopus ranking of #181/227 (20th percentile) in Statistics and Probability. The open-access model ensures that valuable findings are readily accessible to a global audience, fostering collaboration and engagement across diverse disciplines. Join the multitude of contributors and readers who rely on the Journal of Probability and Statistics as a vital resource for research and education in this ever-evolving field.

Metron-International Journal of Statistics

Redefining the boundaries of statistical applications.
Publisher: SPRINGER-VERLAG ITALIA SRLISSN: 0026-1424Frequency: 3 issues/year

Metron-International Journal of Statistics is a prestigious peer-reviewed journal published by SPRINGER-VERLAG ITALIA SRL, dedicated to advancing the field of statistics and probability. With an ISSN of 0026-1424 and an E-ISSN of 2281-695X, this journal has been a vital platform for scholarly research since its inception in 1973, showcasing works that redefine methodologies and applications within the field. Positioning itself in Q3 of the 2023 statistics category quartiles, Metron aims to foster dialogue and innovation among researchers and practitioners. Although currently not an open-access publication, it provides invaluable insights that contribute significantly to the statistical community's body of knowledge. Serving a diverse global audience, the journal encourages submissions that address both theoretical frameworks and practical applications in statistics, promising to enhance the rigor and relevance of statistical practice. Based in Milan, Italy, Metron continues to uphold its commitment to excellence in statistical research through thorough peer review and a focus on impactful findings.

JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES

Transforming complex challenges into optimized solutions.
Publisher: TARU PUBLICATIONSISSN: 0252-2667Frequency: 8 issues/year

JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES, published by TARU PUBLICATIONS, is a vital platform for researchers and practitioners in the field of information science and optimization techniques. With a focus on the application of mathematical and computational methods to solve complex problems in various domains, this journal aims to advance knowledge and encourage innovative thinking. The journal's ISSN is 0252-2667 and the E-ISSN is 2169-0103. Although currently not Open Access, it strives to provide high-quality research that significantly contributes to the industry. With a commitment to rigor and excellence, the JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES is essential for anyone dedicated to enhancing their understanding and application of optimization methodologies in an ever-evolving technological landscape.

Journal of Survey Statistics and Methodology

Unveiling Insights through Rigorous Methodology
Publisher: OXFORD UNIV PRESS INCISSN: 2325-0984Frequency: 4 issues/year

Journal of Survey Statistics and Methodology, published by Oxford University Press Inc, is a pivotal platform for advancing research in the fields of Applied Mathematics, Social Sciences, and Statistics. With its ISSN 2325-0984 and E-ISSN 2325-0992, this journal has firmly established itself since its inception in 2013, achieving a remarkable Q1 quartile ranking across various disciplines in 2023, indicating its significant impact and prestige in the academic community. It serves as a key resource for researchers and practitioners committed to enhancing survey methodology, statistical practices, and data-driven decision-making processes. The journal provides a comprehensive assembly of scholarly articles, methodological advancements, and theoretical insights, aimed at enriching the landscape of survey statistics and related domains. Scholars are encouraged to contribute and stay abreast of the latest findings that shape the future of survey research and methodology.

Journal of Official Statistics

Empowering Data-Driven Decisions Worldwide
Publisher: SAGE PUBLICATIONS INCISSN: 0282-423XFrequency: 4 issues/year

The Journal of Official Statistics, published by SAGE Publications Inc, is a premier open-access journal that has been fostering advancements in the field of statistics since its inception. With its focus on disseminating high-quality research from 1986 to present, this journal provides a vital platform for statistical practices, innovations, and methodologies applicable to various domains, including governmental and organizational data analysis. Recognized as a Q2 journal in the Statistics and Probability category with a Scopus ranking of #143 out of 278, the Journal of Official Statistics boasts a significant impact in informing statisticians and practitioners alike. Located in Sweden, this journal has embraced open access since 2013, ensuring that its comprehensive and research-driven content is accessible to a global audience. Whether you are a researcher, professional, or student, this journal serves as an essential resource for staying informed about the latest trends and discussions in the official statistical community.

ENVIRONMETRICS

Innovating Ecological Modeling for a Sustainable Future
Publisher: WILEYISSN: 1180-4009Frequency: 8 issues/year

ENVIRONMETRICS is a leading journal published by Wiley, dedicated to advancing the interdisciplinary field of environmental statistics and ecological modeling. With an ISSN of 1180-4009 and an E-ISSN of 1099-095X, this esteemed journal has been a pivotal resource for researchers and professionals since its inception in 1990, covering innovative methodologies and applications through its convergence years, which extend to 2024. Ranking in the Q2 quartile for both Ecological Modeling and Statistics and Probability in 2023, it stands among the top-tier publications in these fields. ENVIRONMETRICS boasts a robust Scopus ranking, placing it at #89 out of 278 journals in Mathematics - Statistics and Probability and at #22 out of 41 in Environmental Science - Ecological Modeling, illustrating its significance and impact within the academic community. Although it does not operate as an open-access journal, it remains a vital platform for disseminating high-quality research that addresses pressing environmental challenges, fostering collaborations among statisticians, ecologists, and policy-makers alike.

JIRSS-Journal of the Iranian Statistical Society

Advancing Statistical Knowledge for a Brighter Tomorrow.
Publisher: IRANIAN STATISTICAL SOCISSN: 1726-4057Frequency: 2 issues/year

JIRSS - Journal of the Iranian Statistical Society is a prominent academic journal dedicated to the field of statistics and probability, published by the esteemed Iranian Statistical Society. With its ISSN number 1726-4057 and E-ISSN 2538-189X, this journal serves as a vital platform for disseminating cutting-edge research and advancements in statistical methodology and its applications. Established in 2011, JIRSS has consistently contributed to the academic community, achieving a 2023 Scopus rank of #180 out of 278 in its category, placing it within the 35th percentile in the dynamic domain of Mathematics: Statistics and Probability. As an Open Access publication, it enhances accessibility for researchers, professionals, and students, facilitating a wider engagement with innovative statistical techniques and theories. The journal aims to foster collaboration and knowledge exchange among statisticians, ultimately enriching the field and its impact on various scientific disciplines.

SCANDINAVIAN JOURNAL OF STATISTICS

Advancing statistical knowledge, one article at a time.
Publisher: WILEYISSN: 0303-6898Frequency: 4 issues/year

SCANDINAVIAN JOURNAL OF STATISTICS is a premier publication in the field of statistics, published by Wiley. With an impressive impact factor that reflects its influence, this journal is recognized for its rigorous peer-reviewed research articles that contribute to the advancement of statistical methods and their applications. As a leading resource, the journal spans a wide range of topics within Statistics and Probability, maintaining a strong scholarly presence with a Q1 rank in Statistics and Probability and a Q2 rank in Statistics, Probability and Uncertainty as per the 2023 category quartiles. The journal has been diligently publishing high-quality research since 1996, and now encompasses studies up to 2024, reinforcing its commitment to providing valuable insights for researchers, professionals, and students alike. While the journal does not offer open access, it remains an essential repository of knowledge in statistical sciences, fostering collaboration and innovation within the global academic community.

STATISTICA NEERLANDICA

Empowering professionals with high-quality statistical inquiries.
Publisher: WILEYISSN: 0039-0402Frequency: 4 issues/year

STATISTICA NEERLANDICA is a prestigious peer-reviewed journal published by Wiley, focusing on the fields of statistics and probability. Established in 1946 and addressing key issues in statistical theory and its applications, the journal has significantly contributed to the development of modern statistical practices. With an impressive Q2 categorization in both Statistics and Probability, as well as Statistics, Probability, and Uncertainty, STATISTICA NEERLANDICA stands out within its field, ranking in the 62nd percentile among its peers in mathematics, specifically in statistics and probability. Researchers, professionals, and students can benefit from its rigorous scholarship and innovative methodologies, aiding in the advancement of statistical science. Although the journal does not operate under an open access model, it maintains a commitment to disseminating high-quality research, making it a vital resource for those engaged in statistical inquiry.