attempted to examine individual differences in implicit self-esteem to explain variance in counterfactual-seeking behavior. In this study, participants completed either a decision-making task or an endowment task, and then were asked if they would like to counterfactual-seek. The results suggest

Following up and correcting prior work by Teel, Bearden, and Sharma (1986) in this journal, a general approach to variance explained in latent dependent variables of nonrecursive linear structural equation models is given. A new method of its estimation, easily implemented in EQS or LISREL

decomposition or decomposition via orthogonalisation in the space of predictors. The proximity between the results obtained by different Variance Decomposition methods has led some authors to conclude that they are a fully valid approach. This paper will highlight theoretical reasons why these methods present

and parasitaemia at small spatial scales [1,2]. This variation with malaria transmission is of poor quality (e.g., has low Isaksson et al. BMC Ecology 2013, 13:15

Explained variance (R 2) is a familiar summary of the fit of a linear regression and has been generalized in various ways to multilevel (hierarchical) models. The multilevel models we consider in this paper are characterized by hierarchical data structures in which individuals are grouped

Objectives: This study examined determinants of using an immunization registry, explaining the variance in use. The technology acceptance model (TAM) was extended with contextual factors (contextualized TAM) to test hypotheses about immunization registry usage. Commitment to change, perceived

Objectives: This study examined determinants of using an immunization registry, explaining the variance in use. The technology acceptance model (TAM) was extended with contextual factors (contextualized TAM) to test hypotheses about immunization registry usage. Commitment to change, perceived

Today's wireless networks are characterized by a fixed spectrum assignment policy. However, a large portion of the assigned spectrum is used sporadically and geographical variations in the utilization of assigned spectrum ranges from 15% to 85% with a high variance in time. The limited

acceptance model and the theory of planned behavior, the model of PC utilization, the innovation diffusion theory, and the social cognitive theory. Using data from four organizations over a six-month period with three points of measurement, the eight models explained between 17 percent and 53 percent

familiar features of the perfect match and mismatch probe (P M and M M) values of these data, and examine the variance-mean relationship with probe-level data from probes believed to be defective, and so delivering noise only. We explain why we need to normalize the arrays to one another using probe level