The influence of the coach-athlete relationship on coaching efficacy

Bandura\u27s (1997) theory of self-efficacy which was extended by Feltz et al. (1999) models of coaching efficacy provided framework for examining the relationship between coaching-efficacy and the coach athlete relationship. This study examined the relationship between NCAA head coaches\u27 coaching efficacy and their coach-athlete relationship. NCAA coaches (N=632) completed the Coaching Efficacy Scale (CES), and the Coach Athlete Relationship Questionnaire (CART-Q). A canonical correlation between the subscales of the CES and the subscales of the CART-Q revealed that the subscales of coach-athlete relationship contributed significantly to the explanation of coaching efficacy. MANOVAs revealed significant differences in both CES as well as CART-Q subscales between coaches of individual and team sports, male and female coaches, and winning versus non-winning coaches. This study indicates that there is a significant relationship between coaching efficacy and the coach-athlete relationship and that this interaction should continue to be studied further

Data and donuts

Multiple sessions held on: 3/8/17, 5/16/17.So you've taken the R basics session and you're ready to make publication quality graphs using R. This month's Data and Donuts will show you how to use the ggplot package in R. After this session, you will be able to create a variety of plot types, alter their aesthetics, and use facets to automate the creation of several graphs at once. Some experience with R is recommended but not required

Data and donuts

Multiple sessions held on: 5/10/17, 7/25/17, 5/15/18.This month's Data and Donuts will cover best practices for preparing your data for archiving. We will discuss how to properly describe your data so that others, or you from 5 years from now, will know what it is and how to use it, as well as appropriate places to store it. We'll also discuss options for repositories that will allow others to access your research data, including CSU's digital repository

Data and donuts

One element of good data management is knowing what you have and where it is. This month's Data and Donuts will discuss best practices for data organization. The session will discuss how to organize tabular data within spreadsheets

Nogle bemærkninger om Tønder Kirkemuseums udgaver af Varnæs-salmebogen

Hans Magle om Tønder Kirkemuseums udgaver af Varnæs-salmebogen

Violencia y dependencia emocional en madres de familia de comedores populares del distrito de Salitral, Morropón

Esta investigación tuvo como objetivo determinar la relación de la violencia y la dependencia emocional en madres de familia de comedores populares del distrito de Salitral, Morropón. Fue un estudio de tipo básico de nivel descriptiva - correlacional transversal, no experimental. La población fue compuesta por 108 madres de familia. La recolección de datos se obtuvo mediante el cuestionario de violencia en mujeres (EVM) de Ortega (2020) y el cuestionario de dependencia emocional por García (2020). Se obtuvo como resultado un nivel bajo en violencia según el 62.0% y la dependencia emocional en un nivel medio según el 63.0%. Por otro lado, se evidenció que la violencia simbólica no se relaciona con las dimensiones ansiedad de separación, expresión afectiva, modificación de planes, miedo a la soledad, expresión limite, y, Búsqueda de atención. En conclusión, el nivel de violencia no determina el nivel de dependencia emocional en madres de familia evaluadas

Nazistiske Mindesmærker

Intet resumé

Why Can’t I just use Dropbox? A comparison of cloud file storage platforms used for research

Objective: Many researchers use cloud file storage platforms such as Box and Google Drive as the sole data management platform for all of their research data throughout the course of their projects. Researchers have lost access to their preferred platforms due to changes in licensing agreements and cost to their institutions, leaving researchers to figure out a new system on their own. This paper describes differences between these platforms that affect research data workflows. Methods: We selected four commonly used cloud file storage vendors (Box, Dropbox, Google Drive, and Microsoft SharePoint/OneDrive) to assess. The authors read public user documentation for the platforms and identified several differences, such as maximum file size, that could affect research data workflows. For each difference, we recorded the specifics of each platform then narrowed the scope to features that vary across the platforms. Results: We identified three areas where cloud platforms differed in ways that affect data management: data stewardship, storage capacity, and file organization. Data stewardship is affected by variations in the platforms’ approaches to individual vs. group ownership of files and how user roles are defined and assigned. The platforms also differ in limits on total capacity, individual file size, total number of files, and the amount of data that can be moved in and out of the platform. Some of these limits vary by access method (e.g. API vs web interfaces). Finally many differences affect how data can be organized, such as number of files per folder, synchronization, and file sharing restrictions. Conclusions: Some research data workflows may be negatively affected by moving between cloud file storage platforms. Researchers will need assistance identifying differences between the platforms and modifying disrupted data workflows.&nbsp

Effects of Photopollution on Circadian Activity Rhythms

Many aspects of organismal behavior and metabolism are modulated by biological clocks that oscillate with 24-hour (circadian) rhythms. These circadian clocks synchronize to environmental cues, such as cycles of light and dark, and allow organisms to anticipate changing environmental conditions and make use of temporal niches. The circadian clocks’ function, as well as the biological processes they modulate, can be altered by excess artificial lighting (photopollution). Photopollution levels in Chicago are some of the highest in the world, making it an ideal location to investigate the ecological and health impacts of nighttime light. While photopollution’s effects on specific species (e.g. sea turtles) have been well documented, research across wider, urban populations is limited. Using a combination of laboratory and field studies, we examined the effects of relevant nighttime light levels on circadian rhythms in two model organisms: Drosophila melanogaster (fruit flies) and Mus musculus (house mice). Activity patterns were analyzed using TriKinetics activity monitors and running wheels with Clocklab data collection software, respectively. For both species locomotor activity was collected continuously for the duration of the experiments and levels of nighttime light were manipulated to replicate levels of photopollution found in the Chicagoland area (0 to 36 lux). Significant activity pattern differences were found for both species. Specifically, nighttime light changed total activity, the length of the active phase, and the amplitude of the activity rhythm in both species. In addition, field data on 12 wildlife species were collected from 83 camera traps (provided by the Urban Wildlife Institute at the Lincoln Park Zoo) across the Chicago metropolitan area. Photographic information was combined with data from satellite imagery to develop 24-hour activity profiles, and analyze for variations in activity based on nighttime light levels and season. Results show that nocturnal animals’ total activity and duration of the active period decreased with the introduction of nighttime light. Taken together, these data demonstrate that the effects of photopollution are far reaching and can impact a variety of organisms. By combining both laboratory and field data, we hope to better understanding the varying impacts of photopollution and expand our understanding of the anthropogenic effects of artificial nighttime light on circadian clocks, behavior, and the environment