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Example publications from this periodical
The following articles are from "Behavior Research Methods":
Volume 37
Reips, Ulf-Dietrich and Lengler, Ralph (2005): The Web Experiment List: A Web service for the recruitment of participants and archiving of Internet-based experiments. In Behavior Research Methods, 37 pp. 287-292. Available online
Volume 39
Issue 2
Mangan, Mike and Reips, Ulf-Dietrich (2007): Sleep, sex, and the Web: Surveying the difficult-to-reach clinical population suffering from sexsomnia. In Behavior Research Methods, 39 (2) pp. 233-236. Available online
“One major advantage of Web-based research lies in its ability to reach and study people who have rare condi-
tions of interest. Another advantage is that, due to the anonymity of the survey situation, the Internet is particu-
larly suited for surveys on sensitive topics. Sexsomnia is a newly identified medical condition whose sufferers
engage in sexual behavior during their sleep. Problematic cases are highly distressing and have forensic impli-
cations. The consensus among opinion leaders in sleep medicine is that sexsomnia may be quite common but
that it often goes unreported because of shame and embarrassment. Thus, little is known about this condition’s
demographics and clinical features. This article reports findings from a sample analysis of 20 years of research
on sexsomnia and discusses the results, strengths, and weaknesses of a recent Web-based survey conducted on
the difficult-to-reach clinical population that suffers from sexsomnia. ”
Mangan, Mike and Reips, Ulf-Dietrich (2007): Sleep, sex, and the Web: Surveying the difficult-to-reach clinical population suffering from sexsomnia. In Behavior Research Methods, 39 pp. 233-236. Available online
Volume 40
Reips, Ulf-Dietrich and Funke, Frederik (2008): Interval level measurement with visual analogue scales in Internet-based research: VAS Generator. In Behavior Research Methods, 40 pp. 699-704. Available online
Volume 42
Issue 3
Patton, Evan W. and Gray, Wayne D. (2010): SANLab-CM: A tool for incorporating stochastic operations into activity network modeling. In Behavior Research Methods, 42 (3) pp. 877-883.
“The Stochastic Activity Network Laboratory for Cognitive Modeling (SANLab-CM) is a new tool that incorporates stochastic operations into activity network modeling (Schweickert, Fisher,&Proctor, 2003). In this article, we discuss the core functionality of SANLab-CM and walk through a case study that expands a previously published single, static path model of telephone operators interacting with customers via a workstation (from Gray, John,&Atwood, 1993) into a stochastic model that generates 55 unique paths with different frequencies and a variety of qualitative properties. Without SANLab-CM, it would have been easy to mistake some of the more frequent critical paths as evidence for alternative strategies for task completion. With SANLab-CM, these critical paths can be shown to be simple emergent properties of variability in elementary cognitive, perceptual, and motor processes.”
“Over the last few years, microblogging has gained prominence as a form of personal broadcasting media where information and opinion are mixed together without an established order, usually tightly linked with current reality. Location awareness and promptness provide researchers using the Internet with the opportunity to create “psychological landscapes”—that is, to detect differences and changes in voiced (twittered) emotions, cognitions, and behaviors. In our article, we present iScience Maps, a free Web service for researchers, available from http://maps.iscience.deusto.es/ and http://tweet miner.eu/. Technologically, the service is based on Twitter ’s streaming and search application programming interfaces (APIs), accessed through several PHP libraries, and a JavaScript frontend. This service allows researchers to assess via Twitter the effect of specific events in different places as they are happening and to make comparisons between cities, regions, or countries regarding psychological states and their evolution in the course of an event. In a step-by-step example, it is shown how to replicate a study on affective and personality characteristics inferred from first names (Mehrabian&Piercy, Personality and Social Psychology Bulletin, 19, 755–758 1993) by mining Twitter data with iScience Maps.Results from the original study are replicated in both world regions we tested (the western U.S. and the U.K./Ireland); we also discover base rate of names to be a confound that needs to be controlled for in future research.Introduction iScience Maps for Twitter is a set of Web applications designed to help researchers interested in social media analysis—specifically, mining the billions of “tweets” (brief written messages) on Twitter that are written every month, for scientific research. The Web service is available from http://maps.iscience.deusto.es/ and http://tweetminer.eu/.
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