Substantial evidence indicates that information is distorted during decision making. However, no studies have assessed the distortion of outcome and probability information in risky decisions or the effects of ambiguity on information distortion. We report two studies involving six binary...

Substantial evidence indicates that information is distorted during decision making. However, no studies have assessed the distortion of outcome and probability information in risky decisions or the effects of ambiguity on information distortion. This paper reports two studies involving six...

Due to its increasing popularity, hierarchical linear modeling (HLM) has beenused along with structural equation modeling (SEM) to analyze data with nestedstructure. In spite of the extensive research on commonly encountered problems such asviolation of normality and missing data treatment...

Conventional statistical methods assuming data sampled under simple random sampling are inadequate for use on complex survey data with a multilevel structure and non-independent observations. In structural equation modeling (SEM) framework, a researcher can either use the ad-hoc robust sandwich...

This dissertation focuses on issues related to fitting an optimal variance-covariance structure in multilevel linear modeling framework with two Monte Carlo simulation studies. In the first study, the author evaluated the performance of common fit statistics such as Likelihood Ratio Test (LRT),...

Many validation studies deal with item-nonresponse and measurement error in earnings data. In this paper we explore motives of respondents for the failure to reveal earnings using the German Socio-Economic Panel (GSOEP). GSOEP collects socio-economic information of private households in the...