1,720,960 research outputs found
Mplus syntax for double cross-validation using latent class analysis (LCA) and comparing outcomes across classes
Full text linkA PDF containing Mplus syntax with notes.Mplus syntax for double cross-validation using latent class analysis (LCA) and comparing outcomes across classes. This includes exploratory LCA to identify a best fitting model, cross-validating the model in separate halves of the study sample, and comparing outcomes (i.e., mental health, physical health, alcohol consequences, and GPA) across latent classes using a bias-adjusted, three-step analysis for comparing outcomes across latent classes.Merians, Addie N; Baker, Majel R; Frazier, Patricia A; Lust, Katherine. (2018). Mplus syntax for double cross-validation using latent class analysis (LCA) and comparing outcomes across classes. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/198643
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Daily Sexism Experienced by Women in STEM Majors: Incidence and Relations to Belonging, Interest, and Intentions
No full textUniversity of Minnesota Ph.D. dissertation. August 2020. Major: Psychology. Advisor: Patricia Frazier. 1 computer file (PDF); vii, 84 pages.The purpose of this observational longitudinal study was to assess everyday experiences of sexism in academic contexts among women who are interested in majoring in a physical science, technology, engineering, or mathematics (pSTEM) field. This study hypothesized that everyday comments and behaviors that communicate gender stereotypes and demeaning and exclusionary behavior based on gender would relate to women feeling less belonging in their major on a daily basis. Additionally, more sexist experiences over time would predict less interest in STEM and less intent to major in a STEM field. We recruited first year and sophomore undergraduate women (N = 282) interested in a pSTEM major for a daily assessment, measurement-burst longitudinal study of their academic experiences. STEM major belonging, interest, and intent were assessed at baseline half-way through the semester. Participants later completed 14 nightly surveys three weeks apart in the semester that assessed if they experienced or personally witnessed 13 different sexist events within the context of their classes or professional development. Participants were assessed again at the beginning of the following semester. Many (67%) reported at least one sexist event over the two weeks surveyed, with an average of one-to-two sexist events per week. The most common events were demeaning and exclusionary behavior, and women identified that these frequently came from male classmates, friends, and peers within the school and classroom context. Results from multilevel modeling confirmed the hypotheses and found that on days women reported gender stereotyping and demeaning treatment they felt less belonging in their major. Sexist experiences did not predict STEM interest and major intentions the following semester as hypothesized, especially after controlling for relevant variables in a path analysis. However, more belonging did predict later interests and intentions. Overall these findings suggest that sexism remains frequent in STEM fields and relates to less belonging, and belonging itself may be an important predictor for later academic engagement. Daily social support predicted more major belonging and may be a protective factor for women in the face of sexist experiences. Other relevant factors to sexism in STEM are discussed, including individual differences in women’s expectations to encounter sexism and implications for educators and researchers.Baker, Majel. (2020). Daily Sexism Experienced by Women in STEM Majors: Incidence and Relations to Belonging, Interest, and Intentions. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/216800
Variations on the Author
Full text link“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
Full text linkWe 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
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe 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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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