Predictors of valid engagement with a video streaming web study among asian american and non-Hispanic white college students.

Predictors of valid engagement with a video streaming web study among asian american and non-Hispanic white college students.
复制标题

亚裔美国和非西班牙裔白人大学生有效参与视频流网络研究的预测因素。

DOI:
10.1097/cin.0000000000000035
复制
发表时间:
2014
期刊:
Computers, informatics, nursing : CIN
影响因子:
--
通讯作者:
Wilkie,DianaJ
Wilkie,DianaJ
中科院分区:
--
文献类型:
--
作者:
Park,Hanjong;Choi,Heeseung;Suarez,MarieL;Zhao,Zhongsheng;Park,Chang;Wilkie,DianaJ

文献摘要

相似文献

这项研究的目的是确定观看大部分基于网络的流媒体视频的预测因素,以及观看大部分或只观看部分视频的人的数据特征是否有所不同。从美国一所公立大学招募了650名学生(349名亚裔美国人和301名非西班牙裔白人)作为便利样本。研究参与者被要求观看27分钟的自杀意识流媒体视频,并完成在线问卷调查。早期的数据监测显示,许多人(但不是所有人)观看了大部分视频。我们添加了便于视频完成的软件控件,并为视频完成组(≥26分钟)和视频未完成组(<26分钟)定义了时间。与视频未完成组相比,视频完成组包括更多的女性、本科生和亚裔美国人,并且具有更高的个人主义取向和更正确的操作检查答案。视频未完成组有目的地跳过问题,对视频表现出较少的兴趣,完成问卷所花的时间也较少。研究结果表明,实施软件控制,评估缺失的数据模式,记录填写问卷所花费的时间,以及有效的操作检查问题,对于控制涉及大学生的基于网络的研究的潜在偏见至关重要。
The study purpose was to determine the predictors of watching most of a Web-based streaming video and whether data characteristics differed for those watching most or only part of the video. A convenience sample of 650 students (349 Asian Americans and 301 non-Hispanic whites) was recruited from a public university in the United States. Study participants were asked to view a 27-minute suicide awareness streaming video and to complete online questionnaires. Early data monitoring showed many, but not all, watched most of the video. We added software controls to facilitate video completion and defined times for a video completion group (≥ 26 minutes) and video noncompletion (< 26 minutes) group. Compared with the video noncompletion group, the video completion group included more females, undergraduates, and Asian Americans, and had higher individualistic orientation and more correct manipulation check answers. The video noncompletion group skipped items in a purposeful manner, showed less interest in the video, and spent less time completing questionnaires. The findings suggest that implementing software controls, evaluating missing data patterns, documenting the amount of time spent completing questionnaires, and effective manipulation check questions are essential to control potential bias in Web-based research involving college students.