1,721,031 research outputs found
sj-docx-1-amp-10.1177_25152459231202677 – Supplemental material for It’s All About Timing: Exploring Different Temporal Resolutions for Analyzing Digital-Phenotyping Data
No full textSupplemental material, sj-docx-1-amp-10.1177_25152459231202677 for It’s All About Timing: Exploring Different Temporal Resolutions for Analyzing Digital-Phenotyping Data by Anna M. Langener, Gert Stulp, Nicholas C. Jacobson, Andrea Costanzo, Raj R. Jagesar, Martien J. Kas and Laura F. Bringmann in Advances in Methods and Practices in Psychological Science</p
Materials for "Simulating the evolution of height in the Netherlands in recent history"
No full textHere you can find the R-code to produce the results accompanying the paper "Simulating the evolution of height in the Netherlands in recent history". Separate csv-files including simulation results can also be found here, in addition to the original figures
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
Eara 2018 - Friendships experiences of lonely adolescents, or why we should make better graphs
No full textPowerpoint slides for my presentation in the EARA 2018 session "Understanding social problems with different study designs".
The intention was to present you the results of some social network analyses, but that escalated quickly into a demonstration on why including more information in graphs is crucial if we want to learn the truth about human behavior.
Most of what I presented is derived from what I learned from Gert Stulp (https://www.gertstulp.com/)
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
What's Next? An infrastructure for Supporting Benchmarks in the Social Sciences
No full textBenchmarks are standardized validation frameworks that allow for the direct comparison of various models that address the same research problem. In benchmarks, predefined evaluation criteria (metrics) are used to compare how well different methods can predict an outcome variable (truth criterion) given the predictors (data) at hand. The use of benchmarks has touched many fields of science including computer and data science, physics, biomedicine, and the humanities. Participants are invited to submit their models to the benchmark, which is commonly referred to as organizing a challenge. Other frequently used terms are shared or common tasks and competitions. Within the ODISSEI benchmarking task, benchmarks were introduced in the social sciences. Funded by ODISSEI and an NWO VIDI grant awarded to Gert Stulp (RUG), Eyra developed an open source benchmark infrastructure starter kit. A fertility prediction challenge that will be organized by Elizaveta Sivak and Gert Stulp will function as a pilot for the infrastructure. A first version of the infrastructure has been released on the Next platform. An open source web platform with re-usable modules developed by Eyra that functions as an integration hub for various software-as-a-service solutions that empower science and support the workflow of researchers. This first version was tested during the SICSS – ODISSEI Summer School 2023 with a fertility prediction pilot challenge using LISS panel data provided by Centerdata. This presentation, presents the infrastructure and discusses lessons learned from the summer school pilot and plans for future developments
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