JOURNAL DESCRIPTION

The Medical Radiology and Radiation Safety journal ISSN 1024-6177 was founded in January 1956 (before December 30, 1993 it was entitled Medical Radiology, ISSN 0025-8334). In 2018, the journal received Online ISSN: 2618-9615 and was registered as an electronic online publication in Roskomnadzor on March 29, 2018. It publishes original research articles which cover questions of radiobiology, radiation medicine, radiation safety, radiation therapy, nuclear medicine and scientific reviews. In general the journal has more than 30 headings and it is of interest for specialists working in thefields of medicine¸ radiation biology, epidemiology, medical physics and technology. Since July 01, 2008 the journal has been published by State Research Center - Burnasyan Federal Medical Biophysical Center of Federal Medical Biological Agency. The founder from 1956 to the present time is the Ministry of Health of the Russian Federation, and from 2008 to the present time is the Federal Medical Biological Agency.

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The journal is included in the List of Russian Reviewed Scientific Journals of the Higher Attestation Commission. Since 2008 the journal has been available on the Internet and indexed in the RISC database which is placed on Web of Science. Since February 2nd, 2018, the journal "Medical Radiology and Radiation Safety" has been indexed in the SCOPUS abstract and citation database.

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The two-year impact factor of RISC, according to data for 2017, was 0.439, taking into account citation from all sources - 0.570, and the five-year impact factor of RISC - 0.352.

Medical Radiology and Radiation Safety. 2019. Vol. 64. No. 6. P. 12–24

DOI: 10.12737/1024-6177-2019-64-6-12-24

A.N. Koterov1, L.N. Ushenkova1, E.S. Zubenkova1, M.V. Kalinina1, A.P. Biryukov1, E.M. Lastochkina1, D.V. Molodtsova1, А.А. Wainson2

Strength of Association.
Report 2. Graduations of Correlation Size

1. A.I. Burnasyan Federal Medical Biophysical Center, Moscow, Russia. E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it. ;
2. N.N. Blokhin National Medical Research Center of Oncology, Moscow, Russia

A.N. Koterov – Head of Lab., Dr. Sci. Biol.;
L.N. Ushenkova – Leading Researcher, PhD Biol.;
E.S. Zubenkova – Leading Researcher, PhD Biol.;
M.V. Kalinina – Engineer;
A.P. Biryukov – Head of Dep., Dr. Sci. Med., Prof.;
E.M. Lastochkina – Engineer;
D.V. Molodtsova – Engineer;
A.A. Wainson – Head of Group, Dr. Sci. Biol., Prof.

Abstract

Purpose: To summarize data on graduation of the effect size on the base of Hill’s first causality criterion ‘strength of association’ on the magnitude of the correlation coefficient (mainly Pearson r).
Material and methods: Survey of published sources: monographs, handbooks, papers, educational material on statistics in various disciplines (including on-line), etc. (121 references; of which more than 20 textbooks on statistical methods and statistics in psychology and 8 textbooks on epidemiology).

Results: Estimation of the strength of association by the correlation size is most common in psycho-sociological disciplines and is almost never used in epidemiology (since the establishment of a fact of statistically significant association/correlation in epidemiology is only the initial stage of evidence, unlike the experimental and named disciplines). A number of known scales for r were obtained: the Chaddok scale (R.E. Chaddock) from 1925, which is now apparently not used abroad, but widely represented in the countries of the former USSR, the Cohen scale (J. Cohen) from 1969–1988, reflecting the ‘soft’ criteria of causality in psychology, D.E. Hinkle with co-authors scale (1979–2003) and the Evans scale (J.D. Evans) from 1996. A number of other graduations, published in the singular, are also given. A total of at least 16 different scales of varying degrees were collected for the correlation coefficient r (1925–2019). The information about the value of r for correlations, which should be neglected was presented. Depending on the source, this is r <0.1; r <0.2 or r <0.3. The data on the possibility of transferring graduations from the Pearson coefficient r to the Spearman correlation coefficient and other parameters of the effect size are given.
The question of the difference between estimation of strength of association in epidemiology and medicine and in psycho-sociological disciplines is considered. Unlike the second, in epidemiology and medicine a small value of the correlation coefficient does not necessarily mean a small effect size.

Conclusions: To estimate the value of r one should use the most common and officially established scales, with the exception of the strongly ‘soft’ Cohen scale. The present study can be used as a reference guide on the graduations of effect size on r for a wide variety of observation disciplines.

Key words: graduation of effect size, correlation coefficient, epidemiology, psychology

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For citation: Koterov AN, Ushenkova LN, Zubenkova ES, Kalininna MV, Biryukov AP, Lastochkina EM, Molodtsova DV, Wainson AA. Strength of association. Report 2. Graduation of correlation size. Medical Radiology and Radiation Safety. 2019;64(6):12–24. (In Russian)

DOI: 10.12737/1024-6177-2019-64-6-12-24

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