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Gardner, W J (Wallace James), NX46158
No full textThis record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/386857Surname: GARDNER. Given Name(s) or Initials: W J (WALLACE JAMES). Military Service Number or Last Known Location: NX46158. Missing, Wounded and Prisoner of War Enquiry Card Index Number: 36126.208627
Item: [2016.0049.19150] "Gardner, W J (Wallace James), NX46158
O'Halloran, W J (Wallace James), NX49992
No full textThis record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/408576Surname: O'HALLORAN. Given Name(s) or Initials: W J (WALLACE JAMES). Military Service Number or Last Known Location: NX49992. Missing, Wounded and Prisoner of War Enquiry Card Index Number: 51646.237738
Item: [2016.0049.40850] "O'Halloran, W J (Wallace James), NX49992
Wallace, James, VX18357
No full textThis record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/423646Surname: WALLACE. Given Name(s) or Initials: JAMES. Military Service Number or Last Known Location: VX18357. Missing, Wounded and Prisoner of War Enquiry Card Index Number: 16450.250161
Item: [2016.0049.55907] "Wallace, James, VX18357
Alien Registration- Wallace, James (Baileyville, Washington County)
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Individualised rating-scale procedure: a means of reducing response style contamination in survey data?
No full textResponse style bias has been shown to seriously contaminate the substantive results drawn from survey data; particularly those conducted using cross-cultural samples. As a consequence, identification of response formats that suffer least from response style bias has been called for. Previous studies show that respondents’ personal characteristics, such as age, education level and culture, are connected with response style manifestation.Differences in the way respondents interpret and utilise researcher-defined fixed rating-scales (e.g. Likert formats), poses a problem for survey researchers. Techniques that are currently used to remove response bias from survey data are inadequate as they cannot accurately determine the level of contamination present and frequently blur true score variance. Inappropriate rating-scales can impact on the level of response style bias manifested, insofar as they may not represent respondents’ cognitions. Rating-scale lengths that are too long present respondents with some response categories that are not ‘meaningful’, whereas rating-scales that are too short force respondents into compressing their cognitive rating-scales into the number of response categories provided (this can cause ERS contamination – extreme responding). We are therefore not able to guard against two respondents, who share the same cognitive position on a continuum, reporting their stance using different numbers on the rating-scale provided. This is especially problematic where a standard fixed rating-scale is used in cross-cultural surveys.This paper details the development of the Individualised Rating-Scale Procedure (IRSP), a means of extracting a respondent’s ‘ideal’ rating-scale length, and as such ‘designing out’ response bias, for use as the measurement instrument in a survey. Whilst the fundamental ideas for self-anchoring rating-scales have been posited in the literature, the IRSP was developed using a series of qualitative interviews with participants. Finally, we discuss how the IRSP’s reliability and validity can be quantitatively assessed and compared to typical fixed researcher-defined rating-scales, such as the Likert format
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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