你真的会编程吗?设计和评估在线调查的筛选问题与程序员

A. Danilova, Alena Naiakshina, S. Horstmann, Matthew Smith
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引用次数: 35

摘要

招募足够数量的专业程序员进行研究可能是具有挑战性的,因为他们通常无法抽出时间,或者由于他们的地理分布和潜在的成本。Clickworker或qualics等在线平台确实提供了招聘具有编程技能的参与者的选项;然而,误解和欺诈可能是一个问题。这可能导致没有编程技能的参与者参与研究和调查。如果这些参与者没有被发现,他们可能会在调查数据中造成有害的噪音。在本文中,我们开发了筛选问题,对于具有编程技能的人来说,这些问题易于快速回答,但对于没有编程技能的人来说,很难正确回答。为了评估问卷的有效性和效率,我们招募了几批有或没有编程技能的参与者,并对问题进行了测试。在我们的调查中,42%的clickworker声称他们有编程技能,但没有达到我们的标准,我们建议将这些从研究中过滤掉。我们还在对抗环境中评估了这些问题。我们总结了一组推荐问题,研究人员可以使用这些问题从在线平台招募具有编程技能的参与者。
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Do you Really Code? Designing and Evaluating Screening Questions for Online Surveys with Programmers
Recruiting professional programmers in sufficient numbers for research studies can be challenging because they often cannot spare the time, or due to their geographical distribution and potentially the cost involved. Online platforms such as Clickworker or Qualtrics do provide options to recruit participants with programming skill; however, misunderstandings and fraud can be an issue. This can result in participants without programming skill taking part in studies and surveys. If these participants are not detected, they can cause detrimental noise in the survey data. In this paper, we develop screener questions that are easy and quick to answer for people with programming skill but difficult to answer correctly for those without. In order to evaluate our questionnaire for efficacy and efficiency, we recruited several batches of participants with and without programming skill and tested the questions. In our batch 42% of Clickworkers stating that they have programming skill did not meet our criteria and we would recommend filtering these from studies. We also evaluated the questions in an adversarial setting. We conclude with a set of recommended questions which researchers can use to recruit participants with programming skill from online platforms.
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