Crowdsourcing and personality measurement equivalence: A warning about countries whose primary language is not English

Crowdsourcing and personality measurement equivalence: A warning about countries whose primary language is not English
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DOI:
10.1016/j.paid.2014.11.017
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发表时间:
2015-03-01
影响因子:
4.3
通讯作者:
Newman, Daniel A.
Newman, Daniel A.
中科院分区:
心理学3区
文献类型:
--
作者:
Feitosa, Jennifer;Joseph, Dana L.;Newman, Daniel A.

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在寻找更便宜、更快的数据收集方法的过程中,众包方法(即,在线劳动门户网站,允许独立工作者完成调查,以获得补偿)作为人格研究人员的一种工具越来越受欢迎,尽管缺乏证据表明众包与传统数据收集方法等同。本研究的目的是通过检查众包数据的测量等效性(即,来自Amazon.com的MTurk)与更传统的样本(即,大学生样本和组织雇员样本)。我们的研究结果(使用流行的大五人格测量)提供了所有三个样本测量等效的证据,但有一个重要的例外:众包数据(来自MTurk)仅在回答仅限于来自母语为英语的国家的参与者时,才表现出与传统数据收集方法的测量不变性。虽然MTurk似乎是一个简单的,具有成本效益的数据收集工具,我们的研究结果表明,MTurk的数据是类似的传统收集的数据,只有当MTurk样本仅限于来自英语国家的IP地址。(c)2014爱思唯尔有限公司版权所有。
In the search to find cheaper, faster approaches for data collection, crowdsourcing methods (i.e., online labor portals that allow independent workers to complete surveys for compensation) have risen in popularity as a tool for personality researchers, despite a lack of evidence regarding the equivalence of crowdsourcing with traditional data collection methods. The purpose of this study was to evaluate crowdsourcing as a data collection tool by examining the measurement equivalence of crowdsourced data (i.e., from Amazon.com's MTurk) with more traditional samples (i.e., an undergraduate sample and a sample of organizational employees). Our results (using a popular measure of Big Five personality) provided evidence of measurement equivalence across all three samples, with one important exception: crowdsourced data (from MTurk) only exhibited measurement invariance with traditional data collection methods when responses were restricted to participants from native-English speaking countries. Although MTurk appears to be an easy, cost-effective data collection tool, our results suggest that MTurk data are similar to traditionally-collected data only when the MTurk sample is restricted to IP addresses from English-speaking countries. (c) 2014 Elsevier Ltd. All rights reserved.