Panel design effects on response rates and response quality

To understand changes in individuals' opinions and attitudes it would be bestto collect data through panels. Such panels, however, often cause irritationamong respondents, resulting in low response rates and low response quality.We address whether this problem can be alleviated by designing a panel surveyin an alternative way. For this purpose, we perform two field studies wherewe measure the effects of several panel design characteristics on response ratesand response quality. These characteristics include the number of waves andthe time between subsequent waves, which may either be fixed or random.Our findings suggest that response rates and response quality can be im-proved significantly by surveying at random time intervals. It is then crucialthat panel members are not informed about the dates they will be surveyed,because in this case respondents are less likely to develop expectations as towhen they will be surveyed again. The methodology we put forward can be used to improve the e±ciency of a panel study by carefully calibrating thestudies' panel designs parameters.nonresponse;panel conditioning;randomized sampling;time sampling;panel design

The Viking surface sampler

A surface sampler subsystem for the Viking Lander has been designed, fabricated, cleaned, and successfully tested. Testing has included component level tests to qualification environment and subsystem level tests. This development hardware has also been integrated into a System Test Bed (STB) for the lander system. In addition to the normal dynamic and thermal environments the surface sampler hardware has been tested in an aircraft to simulate the effects of the reduced Martian gravity. Although problems have been encountered with the first-build and integration, the basic design appears to be sound and hardware qualification is scheduled for late 1973

Word-level Symbolic Trajectory Evaluation

Symbolic trajectory evaluation (STE) is a model checking technique that has been successfully used to verify industrial designs. Existing implementations of STE, however, reason at the level of bits, allowing signals to take values in {0, 1, X}. This limits the amount of abstraction that can be achieved, and presents inherent limitations to scaling. The main contribution of this paper is to show how much more abstract lattices can be derived automatically from RTL descriptions, and how a model checker for the general theory of STE instantiated with such abstract lattices can be implemented in practice. This gives us the first practical word-level STE engine, called STEWord. Experiments on a set of designs similar to those used in industry show that STEWord scales better than word-level BMC and also bit-level STE.Comment: 19 pages, 3 figures, 2 tables, full version of paper in International Conference on Computer-Aided Verification (CAV) 201

Panel design effects on response rates and response quality

To understand changes in individuals' opinions and attitudes it would be best to collect data through panels. Such panels, however, often cause irritation among respondents, resulting in low response rates and low response quality. We address whether this problem can be alleviated by designing a panel survey in an alternative way. For this purpose, we perform two field studies where we measure the effects of several panel design characteristics on response rates and response quality. These characteristics include the number of waves and the time between subsequent waves, which may either be fixed or random. Our findings suggest that response rates and respons

Glotaran: A Java-Based Graphical User Interface for the R Package TIMP

In this work the software application called Glotaran is introduced as a Java-based graphical user interface to the R package TIMP, a problem solving environment for fitting superposition models to multi-dimensional data. TIMP uses a command-line user interface for the interaction with data, the specification of models and viewing of analysis results. Instead, Glotaran provides a graphical user interface which features interactive and dynamic data inspection, easier -- assisted by the user interface -- model specification and interactive viewing of results. The interactivity component is especially helpful when working with large, multi-dimensional datasets as often result from time-resolved spectroscopy measurements, allowing the user to easily pre-select and manipulate data before analysis and to quickly zoom in to regions of interest in the analysis results. Glotaran has been developed on top of the NetBeans rich client platform and communicates with R through the Java-to-R interface Rserve. The background and the functionality of the application are described here. In addition, the design, development and implementation process of Glotaran is documented in a generic way