How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
Citations since 2017
1 Research Item
June 2010 - September 2014
University of Erfurt, Germany
August 2000 - June 2002
John Jay College of Criminal Justice, CUNY
Field of study
- Forensic Psychology
When people judge risk or the probability of a risky prospect, single case narratives can bias judgments when a statistical base-rate is also provided. In this work we investigate various methodological and procedural factors that may influence this narrative bias. We found that narratives had the strongest effect on a non-numerical risk measure, w...
The risk of an event generally relates to its expected severity and the perceived probability of its occurrence. In risk research, however, there is no standard measure for subjective probability estimates. In this study, we compared five commonly used measurement formats-two rating scales, a visual analog scale, and two numeric measures-in terms o...
Objective: Previous studies have shown that even when a statistical base-rate of vaccine adverse events (VAE) is provided, a small sample of single-case narratives influences vaccination risk perceptions and vaccination intentions, irrespective of various content characteristics. This study investigated whether this narrative bias is moderated by a...
This review introduces the concept of culture-sensitive health communication. The basic premise is that congruency between the recipient's cultural characteristics and the respective message will increase the communication's effectiveness. Culture-sensitive health communication is therefore defined as the deliberate and evidence-informed adaptation...
Immunization rates are below the Global Immunization Vision and Strategy established by the World Health Organization. One reason for this are anti-vaccination activists, who use the Internet to disseminate their agenda, frequently by publishing narrative reports about alleged vaccine adverse events. In health communication, the use of narrative in...
Background: As the number of individuals who search for health information in interactive online environments is increasing, patient networks deserve more scientific attention. Objective: To quantitatively examine if and how reading statistical and/or narrative information as typically displayed in patient networks (e.g., patientslikeme.com) aff...
Each of the variability profiles represents ten COVs from ten dependent measurements.
I have four such profiles from four between-subjects conditions.
I would like to:
1) test for differences between profiles regarding the strength of variation, i.e., do the profiles differ in magnitude?
2) test for differences between profiles regarding their shape, i.e. are the profiles parallel?
3) test for differences between COVs within each profile.
Sokal and Braumann (1980) suggest using Levene’s test on log-transformed COVs for 3), and using Friedman’s test for 2). I am not really sure about these approaches but more than that I am mostly interested in a solution for 1).
Thanks in advance to everyone who answers, every advice is highly appreciated.
Reference: Sokal, R.R., & Braumann, C.A. (1980). Significance tests for coefficients of variation and variability profiles. Systematic Zoology, 29(1), 50-66. doi: 10.2307/2412626