Gender- and age-bias in CES-D when measuring depression in China: A Rasch analysis

Author(s):  
Jinxin Zhu ◽  
Ming Ming Chiu
2021 ◽  
pp. 201-228
Author(s):  
Elisabeth Bakke ◽  
Bjarte Folkestad

The 2019 local elections in Norway were the first elections to be held in 47 amalgamated municipalities. Earlier research has shown that geography is an important list-balancing criterion in national elections, yet it is an under-researched aspect of descriptive representation in local elections. In this chapter we set out to fill this gap. Using the representation literature as a point of departure, we study the effect of merger on geographic representation and investigate whether stronger emphasis on geography increased the gender or age bias of the municipal councils in newly merged municipalities. To this end, we use candidate data from all local candidates in the 2019 local elections (N = 54254) as well as historic candidate data for previous elections. We combine this with qualitative party interviews to shed light on the parties’ nomination processes. We find that candidates from the smaller municipalities are overrepresented on the party lists as well as in the municipal councils of the 47 municipalities. This is the combined effect of party nomination practices and voters’ preferences. However, somewhat surprisingly, increased emphasis on geography did not affect age or gender balance to any great extent. The results for the newly merged municipalities fit well into the national trend, featuring slightly older and more gender-equal candidate lists across time. Geography thus seems to have been an additional list-balancing criterion, on top of, and not instead of, gender and age.


2011 ◽  
Vol 14 (1) ◽  
pp. 7-27 ◽  
Author(s):  
Jonathan Warren ◽  
Sharon Stoerger ◽  
Ken Kelley
Keyword(s):  
Age Bias ◽  

2009 ◽  
Vol 12 (2) ◽  
pp. 833-849 ◽  
Author(s):  
Miguel A. García-Pérez

The h index has advantages over journal impact factors for assessing the research performance of individuals, and it is becoming a reference tool for career assessment that is starting to be considered by some agencies as an aid in decisions for promotion, allocation, and funding. The h index has been reported to have adequate properties as a measure of the research accomplishments of individuals in areas where h values are usually high (i.e., at or above 40), but some concerns have been raised that its validity in other non-mainstream research areas is suspect. This paper presents data from an exhaustive computation and analysis of h indices for 204 faculty members in the area of Methodology of the Behavioral Sciences in Spain, an area where h indices tend to be low worldwide. The results indicate that the h index is substantially increased by self-citations and that the average h of full professors is not meaningfully larger than the average h of associate professors. Other interesting relations between h indices and demographic and academic variables are described, including the gender and age bias of h. In this field, but perhaps also in other fields where the average h is low, little justification is found for the use of the h index as a fair measure of research performance that can aid in funding or promotion decisions.


2017 ◽  
Vol 171 ◽  
pp. e96
Author(s):  
J. Aaron Johnson ◽  
Rebecca Howell ◽  
Paul Seale

2000 ◽  
Vol 26 (2) ◽  
pp. 117-124 ◽  
Author(s):  
Cynthia Arslanian-Engoren

2012 ◽  
Vol 37 (2) ◽  
pp. 173-178 ◽  
Author(s):  
Manit Srisurapanont ◽  
Phunnapa Kittiratanapaiboon ◽  
Surinporn Likhitsathian ◽  
Thoranin Kongsuk ◽  
Sirijit Suttajit ◽  
...  

2016 ◽  
Vol 74 ◽  
pp. 218-226 ◽  
Author(s):  
David M. Walton ◽  
Tyler Beattie ◽  
Joseph Putos ◽  
Joy C. MacDermid

2020 ◽  
Vol 63 (12) ◽  
pp. 4325-4326 ◽  
Author(s):  
Hartmut Meister ◽  
Katrin Fuersen ◽  
Barbara Streicher ◽  
Ruth Lang-Roth ◽  
Martin Walger

Purpose The purpose of this letter is to compare results by Skuk et al. (2020) with Meister et al. (2016) and to point to a potential general influence of stimulus type. Conclusion Our conclusion is that presenting sentences may give cochlear implant recipients the opportunity to use timbre cues for voice perception. This might not be the case when presenting brief and sparse stimuli such as consonant–vowel–consonant or single words, which were applied in the majority of studies.


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