3 resultados para validation study

em DRUM (Digital Repository at the University of Maryland)


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Like many Americans, African American women often view marriage as an important life goal; however, it is likely that many also view it as one that is out of reach (Dixon, 2009; Wallace, 2014). The present study sought to address this issue by developing a new measure to assess African American women’s experiences in this regard in hopes of shedding light on how it impacts their dating and mating experiences. A total of 251 heterosexual African American women who were either enrolled in college or who had completed some form of postsecondary education completed an online survey assessing a variety of topics including their attitudes and emotions regarding a shortage of marriageable men, their standards to marry, and their willingness to date interracially. Results from this study established preliminary construct validity for a new scale assessing African American women’s attitudes and emotions about the shortage of “marriageable” African American men.

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Technology-supported citizen science has created huge volumes of data with increasing potential to facilitate scientific progress, however, verifying data quality is still a substantial hurdle due to the limitations of existing data quality mechanisms. In this study, we adopted a mixed methods approach to investigate community-based data validation practices and the characteristics of records of wildlife species observations that affected the outcomes of collaborative data quality management in an online community where people record what they see in the nature. The findings describe the processes that both relied upon and added to information provenance through information stewardship behaviors, which led to improved reliability and informativity. The likelihood of community-based validation interactions were predicted by several factors, including the types of organisms observed and whether the data were submitted from a mobile device. We conclude with implications for technology design, citizen science practices, and research.

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Racism continues to thrive on the Internet. Yet, little is known about racism in online settings and the potential consequences. The purpose of this study was to develop the Perceived Online Racism Scale (PORS), the first measure to assess people’s perceived online racism experiences as they interact with others and consume information on the Internet. Items were developed through a multi-stage process based on literature review, focus-groups, and qualitative data collection. Based on a racially diverse large-scale sample (N = 1023), exploratory and confirmatory factor analyses provided support for a 30-item bifactor model with the following three factors: (a) 14-item PORS-IP (personal experiences of racism in online interactions), (b) 5-item PORS-V (observations of other racial/ethnic minorities being offended), and (c) 11-item PORS-I (consumption of online contents and information denigrating racial/ethnic minorities and highlighting racial injustice in society). Initial construct validity examinations suggest that PORS is significantly linked to psychological distress.