142,249 research outputs found
Materials for Chang & Ahn (2023)
No full textLinks related to the Korean corpora used in Chang and Ahn (2023, "Examining the role of phoneme frequency in first language perceptual attrition", Languages); see wiki. The materials for the study that this study follows up on (Ahn et al., 2017, "Age effects in first language attrition", Language Learning) are linked
Dataset for Chang & Ahn (2023)
No full textFull dataset for Chang and Ahn (2023, "Examining the role of phoneme frequency in first language perceptual attrition", Languages), in Excel format (.xlsx) and PDF format. Sheet 1 of the Excel file provides a summary table of frequency data from the National Institute of Korean Language (NIKL) corpus; sheet 2, the by-word frequency data from the NIKL corpus; sheet 3, the by-chunk frequency data from the SUBTLEX-KR corpus (2022 version); and sheet 4, a key explaining each column/header of the spreadsheets in Sheets 1-3. The dataset for the study that this study follows up on (Ahn et al., 2017, "Age effects in first language attrition", Language Learning) is linked
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe 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
Bryothinusa chengae Ahn 1998
No full textBryothinusa chengae Ahn 1998 Bryothinusa chengae Ahn 1998:335 [original description, illustrated]: 337 [comparison with B. papuensis Haghebaert]. Distribution. Caroline Islands, Palau (Ahn 1998).Published as part of Ashe, James S., 2004, A New Species of the Intertidal Staphylinid Genus Bryothinusa Casey from Malaysia, with an Overview of Geographic Distribution and an Annotated Catalog of Bryothinusa (Staphylinidae: Aleocharinae: Myllaenini), pp. 581-597 in The Coleopterists Bulletin 58 (4) on page 591, DOI: 10.1649/69
Dataset for Ahn et al. (2017)
No full textFull dataset for Ahn, Chang, DeKeyser, and Lee-Ellis (2017, "Age effects in first language attrition", Language Learning), in Excel format (.xlsx) and tab-delimited text format (.txt). Sheet 1 of the Excel file provides the data in spreadsheet format; sheet 2, a key explaining each column of the spreadsheet in Sheet 1
Materials for Ahn & Chang (2022)
No full textTest materials for Ahn and Chang (2022, "Emotion word development in bilingual children living in majority and minority contexts"), which are shareable publicly according to the study's IRB protocol: (1) language background questionnaire (in Korean), in three versions administered to participants whose additional early-learned language was English, Mongolian, or some other language, respectively, (2) full list of target words, with meta-data on psycholinguistic properties (in .xlsx, .csv, and .pdf format), and (3) emoji response scale (in .pptx and .pdf format). The Korean vocabulary test used was the Receptive and Expressive Vocabulary Test (REVT; see Kim, Hong, & Kim, 2009, "Content and reliability analyses of the Receptive and Expressive Vocabulary Test (REVT)", Korean Journal of Communication Disorders, vol. 14, pp. 34-45). The audio recordings used in the valence rating task are not shareable for privacy reasons, but are reproducible with the information provided in the journal article
Dispelling the Myths Behind First-author Citation Counts
No full textWe 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
Paramblopusa Ahn & Ashe 1996
No full textGenus <i>Paramblopusa</i> Ahn & Ashe, 1996 <p>[Japanese name: Nise-nokoba-umi-hanekakushi-zoku]</p> <p> <i>Paramblopusa</i> Ahn & Ashe, 1996a: 148 (original description; type species: <i>Amblopusa borealis</i> Casey, 1906).</p> <p> <b>Diagnosis.</b> This genus can be easily distinguished from other Japanese liparocephaline genera by the 3-segmented labial palpus in which segment II is thinner than I (Fig. 22C).</p> <p> <b>Remarks.</b> <i>Paramblopusa eoa</i> Ahn & Maruyama was described from Kuril Islands, Russia. In Schülke & Smetana (2015), its distribution range includes Hokkaido, Japan. However, the source of the Japanese record remains unknown, and it was conspicuously absent in a current record of this species by Ahn <i>et al.</i> (2020). Furthermore, despite our extensive survey of Hokkaidô, this species has never been encountered, and we suspect it as an erroneous distributional record.</p> <p> <b>Distribution.</b> Japan: Hokkaidô; Russia (Kuril Islands); Canada; USA.</p>Published as part of <i>Tasaku, Yuto, Ono, Hiroki & Maruyama, Munetoshi, 2023, Review of the intertidal rove beetle tribe Liparocephalini Fenyes (Coleoptera, Staphylinidae, Aleocharinae) from Japan, pp. 251-296 in Zootaxa 5383 (3)</i> on pages 280-283, DOI: 10.11646/zootaxa.5383.3.1, <a href="http://zenodo.org/record/10361564">http://zenodo.org/record/10361564</a>
Materials for Ahn et al. (2017)
No full textTest materials for Ahn, Chang, DeKeyser, and Lee-Ellis (2017, "Age effects in first language attrition", Language Learning), which are shareable publicly according to the study's IRB protocol: (1) the Language Background Questionnaire, which is provided in Excel format (.xlsx), and (2) the Listening Proficiency Test (i.e., the 'Intermediate A' listening comprehension section of the 18th Test of Proficiency in Korean), which is accessible from the link provided in the journal article as well as from the links below. The auditory stimuli used in the Speeded Sequence Recall task are not shareable for privacy reasons, but are reproducible with the information provided in the journal article
Data & Supplementary Material for Ahn & Chang (2022)
No full textFull dataset, R code, and supplementary material (tables) for Ahn and Chang (2022, "Emotion word development in bilingual children living in majority and minority contexts"). The dataset is provided in Excel format (.xlsx) and tab-delimited text format (.txt): Sheet 1 of the Excel file provides the valence rating, demographic, and language background data in spreadsheet format; sheet 2, the correlations between participants' valence ratings and mean adult valence ratings; and sheet 3, a key explaining each column of the spreadsheets in Sheets 1 and 2. The R code used for all analyses and visualizations included in the journal article is also provided. Supplementary material is provided as a PDF file: Table 2 summarizes language background characteristics of the three child groups; Table 3, properties of emotion words in the ‘positive’ and ‘negative’ valence groups; and Tables 4-8, fixed-effect coefficients in the regression models
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