1,720,976 research outputs found
Repetition Blindness for Emotion Words: Exploring Interactions Between Valence and Arousal
No full textR code for manuscript that I am a co-author on with Dr. Tina Sutto
Chronotype and mood symptoms: A Longitudinal Relationship During Childhood and Adolescence
No full text
oWS3: Defense Against the Dark R's: Intro to R for Social Scientists
No full textR has become a popular statistical software in social sciences over the past decade, offering powerful capabilities for data analysis, visualization, and reproducible research. However, learning R can be an intimidating prospect for many social scientists who may lack prior programming experience, which is a lot of us. The abundance of available learning resources, while helpful, can also be overwhelming for beginners trying to determine where to start. Many of these resources are also not geared toward social science. This session aims to provide an accessible introduction to R specifically tailored for social scientists, with the goal of building a solid foundation and boosting confidence in working with the software. Key focus areas include: Project Setup and Workflow, Data Visualization, R-Basics for Social Scientists and Generating Reproducible Workflows and Reports. The goal is to empower researchers to continue exploring R's potential for social science applications with greater confidence
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
- …
