PubMed Health⌕ Search

PubMed · 2393756

Editorial peer review: methodology and data collection.

Abstract

This study reports on the editorial peer review practices of two categories of U.S. medical journals indexed in Index Medicus. Journals in group 1 were included on each of three lists of recommended journals, had a circulation of 10,000, and were cited at least 5,000 times per year. Group 2 journals, also indexed in Index Medicus, met none of the criteria. After being pretested, data were collected through a series of interviews and questionnaires. A summary of the methodology and an analysis of the differences between data collected through questionnaires and interviews is reported. The study concluded that initial interviews are very helpful in designing a questionnaire; a high percentage of editors agreed to be interviewed (100% for sixteen group 1 editors and 93.8% for sixteen group 2 editors); a 69.4% response rate to the mailed questionnaire indicates either sufficient follow-up or a high rate of interest in the subject matter; no trends identified by the questionnaire were reversed by changes in answers given during the interviews; approximately 11% to 15% of the answers differed between the questionnaire and interview methodology; and for some sensitive issues, editors were more likely to give answers on the questionnaire according to what was perceived as the most appropriate answer, rather than the actual practices of the journal.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

A C Weller. 1990. Editorial peer review: methodology and data collection.. https://pubmed.ncbi.nlm.nih.gov/2393756/

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Probability estimation when some observations are grouped.

This paper considers the use of additional questions for decreasing survey non-response rates and an approach for estimating a probability based on the results obtained. In a survey, the respondents are asked to answer an original question and follow-up questions, where the answers for the follow-up questions are grouped answers for the original question. For example, respondents are asked to provide an exact number of incidents, but in cases of 'Do not know' or 'Refuse' responses, they are subsequently asked to pick an answer from a less specific categorical scale. The new estimator obtains smaller variance asymptotically and does not depend on a distribution family. This method is applied to income questions in a survey regarding injury prevention and behaviours. Another application is survey data on intimate partner violence, where some amendments were applied for incorporating post-stratification weights and for using non-random grouping. For additional illustration, an example of parameter estimation on artificially generated data is presented.

Data Collection↗