Proceedings of the SIGCHI Conference on Human Factors in Computing Systems 2014
DOI: 10.1145/2556288.2557004
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Is once enough?

Abstract: A replication is an attempt to confirm an earlier study's findings. It is often claimed that research in HumanComputer Interaction (HCI) contains too few replications. To investigate this claim we examined four publication outlets (891 papers) and found 3% attempting replication of an earlier result. The replications typically confirmed earlier findings, but treated replication as a confirm/not-confirm decision, rarely analyzing effect sizes or comparing in depth to the replicated paper. When asked, most autho… Show more

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Cited by 82 publications
(18 citation statements)
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References 47 publications
(85 reference statements)
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“…Replication is still not very common within HCI [35] despite various efforts to encourage more replications such as the repliCHI panel and workshops between 2011 and 2014 (see www.replichi.com for details and reports) as well as the "repliCHI badge" given to some CHI articles published at CHI'13/14. Original results are generally higher valued than confirmations or refutations of existing knowledge.…”
Section: Need For Replicationmentioning
confidence: 99%
“…Replication is still not very common within HCI [35] despite various efforts to encourage more replications such as the repliCHI panel and workshops between 2011 and 2014 (see www.replichi.com for details and reports) as well as the "repliCHI badge" given to some CHI articles published at CHI'13/14. Original results are generally higher valued than confirmations or refutations of existing knowledge.…”
Section: Need For Replicationmentioning
confidence: 99%
“…[59]. For example there have been heated debates about (mis)use of methods from ethnography [15] and design research [24,56] within HCI, and about whether HCI research needs to become more 'scientific' by focusing on replicating existing results [28].…”
Section: Hci Must Promote a Culture Of Respect For Other Fieldsmentioning
confidence: 99%
“…Thus, it makes sense to compare the effects of visualization that we see to those that Micallef et al (2012) saw. Hornbaek et al (2014) also recommended effect size comparisons as a way to make comparisons across replications more content rich. To compare the effect sizes, we first calculated an effect size of the manipulations in Micallef et al (2012) from the available log files, finding a small effect d ¼ 0:11 for the frequency grid (condition V3 in Micallef et al (2012) experiment 1) and a small effect d ¼ 0:1 for the Euler array (condition V4 in Micallef et al (2012) experiment 2) over the text only condition (Micallef et al (2012) V0).…”
Section: Effect Sizementioning
confidence: 99%