Search results for " data collection."
showing 10 items of 186 documents
Do-search -- a tool for causal inference and study design with multiple data sources
2020
Epidemiologic evidence is based on multiple data sources including clinical trials, cohort studies, surveys, registries, and expert opinions. Merging information from different sources opens up new possibilities for the estimation of causal effects. We show how causal effects can be identified and estimated by combining experiments and observations in real and realistic scenarios. As a new tool, we present do-search, a recently developed algorithmic approach that can determine the identifiability of a causal effect. The approach is based on do-calculus, and it can utilize data with nontrivial missing data and selection bias mechanisms. When the effect is identifiable, do-search outputs an i…
Risk Taking by Banks in the Transition Countries
2007
The banking sectors of the transition countries have progressed remarkably in the last 15 years. In fact, banking in most transition countries has largely shaken off the traumas of the transition era. At the start of the 21st century banks in these countries look very much like banks elsewhere. That is, they are by no means problem free but they are struggling with the same issues as banks in other emerging market countries. There have been a surprisingly large number of studies that have told us about the performance of these banks but we know very little about their risk taking behaviour and how the banking environment influences it.
Is R&D Enough to Take Advantage From External Knowledge?: Focusing on Coordination Mechanisms
2014
The purpose of this paper is to analyze the role of research and development (R&D) and coordination mechanisms (such as decentralization in decision-making and formalization of organizational processes) in the transformation of external knowledge into innovation results. We use survey data for performing standard ordinary least squares regressions in a representative sample of firms from the Spanish Ceramic Tile Industry. The results suggest that R&D is an important moderator influencing the relationship between acquiring external knowledge and innovation outcomes. Second, formalization tends to have a detrimental effect in the transformation of external knowledge into innovation outputs. T…
A new system for the representation of places hit by disasters
2010
This paper analyses a new system for data collection and management after a disaster. In particular, the system enables to represent what exists in a place, and to visualize the preceding state, in a synoptic vision before and after the event; and also enables the consultation of synthetic information, the possibility of connections to internet sites for further in depth analysis and then the possibility of archiving and retrieving data through researching specific items. This is carried out in a simple and quick way, utilizing a portable device. The obtained product is consultable on site, or otherwise memorized and archived. Because of all these functions, it could be a useful instrument …
Revealing Hidden Curvilinear Relations Between Work Engagement and Its Predictors: Demonstrating the Added Value of Generalized Additive Model (GAM)
2014
Previous studies measuring different aspects of the quality of life have, as a rule, presumed linear relationships between a dependent variable and its predictors. This article utilizes non-parametric statistical methodology to explore curvilinear relations between work engagement and its main predictors: job demands, job control and social support. Firstly, the study examines what additional information non-linear modeling can reveal regarding the relationship between work engagement and the three predictors in question. Secondly, the article compares the explanatory power of non-linear and linear modeling with regard to work engagement. The generalized additive model (GAM), that makes pos…
How Multiple Party Identifications Shape the Voters' Political World
2013
Despite being part of the original concept by Campbell et al. (1954, 1960), multiple party identifications are rarely analyzed as most studies use single items that do not allow to identify multiple identifications. I am able to overcome these flaws by using current German survey data. My findings show that considerably shares of the sample hold multiple party identifications. These identifications often have a notable impact on evaluations, attitudes and behavior when compared to single party identification.
The advanced use of mobile phones in five European countries
2014
The paper explores the advanced users of mobile phones in Italy, France, Germany, Spain and the UK (EU5 countries) and aims to clarify the social meaning of advanced use. The mobile phone is seen as a strategic tool of social labour, whose capabilities are exploited to a different extent in the five studied countries. The analysis is based on a cross-national survey data collected in 2009 (N = 7,255). First, the results show that there are substantial differences in the advanced use of mobile phone and its predictors in Europe. Generally, only about one third of the studied mobile features are exploited. British and French people are the most advanced users, followed by German, Spanish and …
Campaigns, candidate evaluations, and vote choice: Evidence from German federal election campaigns, 1980–2002
2007
Abstract This article examines the effect of German federal election campaigns on citizens' attitudes toward chancellor candidates. Building on previous research, it puts forward three hypotheses tested using survey data gathered during seven German federal election campaigns. The results confirm that campaigns polarize the voters' perception of the chancellor candidates. During campaigns, voters also bring their opinions about candidates into line with their partisan attitudes. Moreover, during three campaigns candidate preferences become increasingly powerful predictors of vote choice. The findings also suggest that election-specific factors condition campaign effects. The paper concludes…
Utilizing Multimodal Data Through fsQCA to Explain Engagement in Adaptive Learning
2020
Investigating and explaining the patterns of learners’ engagement in adaptive learning conditions is a core issue towards improving the quality of personalized learning services. This article collects learner data from multiple sources during an adaptive learning activity, and employs a fuzzy set qualitative comparative analysis (fsQCA) approach to shed light to learners’ engagement patterns, with respect to their learning performance. Specifically, this article measures and codes learners’ engagement by fusing and compiling clickstreams (e.g., response time), physiological data (e.g., eye-tracking, electroencephalography, electrodermal activity), and survey data (e.g., goal-orientation) to…
SOCIAL WELFARE POLICY PREFERENCES IN LATVIA: EVIDENCE FROM ISSP SURVEYS
2018
This study seeks to find out how social welfare policy preferences have changed over time and what factors account for those preferences in Latvia. The author analyses ISSP survey data gathered in 1996, 2007 and 2016. The data analysis shows that most Latvians still support government interventions in providing social welfare. However, economic factors like material wellbeing and self-interest have decreased the overall support for social welfare policies during the last 20 years. The article provides a long-term perspective missing in previous studies on social welfare policy preferences in Eastern Europe.