21,437 research outputs found

    Richard Dorson (interview)

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    This interview is included in the American Folklore Society Oral History Project held at the Archive of Folk Culture, American Folklife Center, Library of Congress, Washington, D.C. In this item, Richard M. Dorson is interviewed by Richard Reuss at the American Folklore Society annual meeting in Nashville, Tennessee for the American Folklore Society Oral History Project. Biography/History note: Richard M. Dorson, folklorist, author, and educator, was born in New York City in 1916 and died in 1981. He earned his B.A., M.A. and Ph.D. at Harvard University and taught at Harvard and Michigan State University before becoming professor of history and folklore at Indiana University where he founded its Folklore Institute in 1963 and became the first director and first chair of the Folklore Department at Indiana University in 1978. This collection consists of 1 sound tape reel (40 min.) : analog, 7 1/2 ips, 2 track, mono. ; 7 in. It was originally recorded on November 2, 1973 at the American Folklore Society annual meeting in Nashville, Tennessee by Richard Reuss on a Sony audiocassette. This is a first-generation copy

    760300_supp_mat – Supplemental material for Beyond total treatment effects in randomised controlled trials: Baseline measurement of intermediate outcomes needed to reduce confounding in mediation investigations

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    Supplemental material, 760300_supp_mat for Beyond total treatment effects in randomised controlled trials: Baseline measurement of intermediate outcomes needed to reduce confounding in mediation investigations by Sabine Landau, Richard Emsley and Graham Dunn in Clinical Trials</p

    Folder 9: Schwiderski, Richard Craig v. State of Texas 2, 1979-1984

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    Photocopy of a section of an article written by New York author Richard Reeves and titled 'Too Late to Kill the Messenger' and dated 1979, and argues for the role of media during violent situations

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    sj-R-1-smm-10.1177_09622802221114544 - Supplemental material for The benefits of covariate adjustment for adaptive multi-arm designs

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    Supplemental material, sj-R-1-smm-10.1177_09622802221114544 for The benefits of covariate adjustment for adaptive multi-arm designs by Kim May Lee, David S. Robertson, Thomas Jaki and Richard Emsley in Statistical Methods in Medical Research</p

    sj-R-2-smm-10.1177_09622802221114544 - Supplemental material for The benefits of covariate adjustment for adaptive multi-arm designs

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    Supplemental material, sj-R-2-smm-10.1177_09622802221114544 for The benefits of covariate adjustment for adaptive multi-arm designs by Kim May Lee, David S. Robertson, Thomas Jaki and Richard Emsley in Statistical Methods in Medical Research</p

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods
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