Impact Factor for Journal of Survey Statistics
and Methodology Increases in 2022
The 2021 Journal Citation Reports was released at the end of June 2022 with new impact factors and rankings. The new impact factor for the Journal of Survey Statistics and Methodology is 2.446, up from the 2020 impact factor of 1.957. The 2021 rankings showed 23/53 in social sciences and mathematical methods and 29/125 in statistics and probability, improving from the corresponding 2020 rankings of 29/52 and 46/125. JSSAM received its first impact factor in 2020.
The journal impact factor for a given year is the ratio of the total number of times a journal’s articles were cited in the previous two years to the total number of citable articles in the journal during the same period, where citation counts are identified through the Web of Science Core Collection; the 2021 impact factor includes citations from the 2019 and 2020 publication years.
JSSAM’s editors-in-chief, Kristen Olson and Jenny Thompson, credit the editorial board and their predecessor editors-in-chief—Joe Sedransk, Roger Tourangeau, Roderick Little, Ting Yan, and Michael Elliott—for their efforts in establishing, sustaining, and improving the journal’s relevance to its constituent community.
JSSAM publishes research and applications articles and notes on statistical and methodological issues for sample surveys, censuses, administrative record systems, and other related data. The journal is jointly sponsored by the American Association for Public Opinion Research and the American Statistical Association. The journal published its first volume in 2013, releasing four regular issues and one special issue annually.
Olson, survey methodology editor, and Thompson, survey statistics editor, suggest reading the following top-cited papers to get a flavor of the journal’s offerings:
- Web Versus Other Survey Modes: An Updated and Extended Meta-Analysis Comparing Response Rates, by Jessica Daikeler, Michael Bošnjak, Katja Lozar Manfreda
- A Review of Conceptual Approaches and Empirical Evidence on Probability and Nonprobability Sample Survey Research, by Carina Cornesse, Annelies G. Blom, David Dutwin, Jon A. Krosnick, Edith D. De Leeuw, Stéphane Legleye, Josh Pasek, Darren Pennay, Benjamin Phillips, Joseph W. Sakshaug, Bella Struminskaya, and Alexander Wenz
- Comparing Alternatives for Estimation from Nonprobability Samples, by Richard Valliant
Additionally, JSSAM recently released a publicly available curated special virtual issue on nonresponse rates and nonresponse adjustment. Visit the journal’s website to access the special issue.