Understanding Open Access Data Using Visuals: Integrating Prospective Studies of Children’s Responses to Natural Disasters

Autor:	Betty S. Lai, Julia Medzhitova, Courtney A. Colgan, Hazel J. Shah, Annette M. La Greca, Audrey J. Leroux
Rok vydání:	2019
Předmět:	050103 clinical psychology 05 social sciences Visual literacy Poison control Human factors and ergonomics 02 engineering and technology Suicide prevention Article Occupational safety and health Visual arts Open data 020204 information systems Injury prevention 0202 electrical engineering electronic engineering information engineering 0501 psychology and cognitive sciences Life-span and Life-course Studies Natural disaster Psychology Social Sciences (miscellaneous)
Zdroj:	Child Youth Care Forum
ISSN:	1573-3319 1053-1890
Popis:	BACKGROUND: As access to open data is increasing, researchers gain the opportunity to build integrated datasets and to conduct more powerful statistical analyses. However, using open access data presents challenges for researchers in understanding the data. Visuals allow researchers to address these challenges by facilitating a greater understanding of the information available. OBJECTIVES: This paper illustrates how visuals can address the challenges that researchers face when using open access data, such as: (1) becoming familiar with the data, (2) identifying patterns and trends within the data, and (3) determining how to integrate data from multiple studies. METHOD: This paper uses data from an integrative data analysis study that combined data from prospective studies of children’s responses to four natural disasters: Hurricane Andrew, Hurricane Charley, Hurricane Katrina, and Hurricane Ike. The integrated dataset assessed hurricane exposure, posttraumatic stress symptoms, anxiety, social support, and life events among 1707 participants (53.61% female). The children’s ages ranged from 7 to 16 years (M = 9.61, SD = 1.60). RESULTS: Visuals serve as an effective method for understanding new and unfamiliar datasets. CONCLUSIONS: In response to the growth of open access data, researchers must develop the skills necessary to create informative visuals. Most research-based graduate programs do not require programming-based courses for graduation. More opportunities for training in programming languages need to be offered so that future researchers are better prepared to understand new data. This paper discusses implications of current graduate course requirements and standard journal practices on how researchers visualize data.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba815b5c0da4f13b586ce79399814f5b https://doi.org/10.1007/s10566-019-09496-7 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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