A well-known problem in the analysis of test and questionnaire data is that some item scores may be missing. Advanced methods for the imputation of missing data are available, such as multiple imputation under the multivariate normal model and imputation under the saturated logistic model (Schafer, 1997). Accompanying software was made available…

The current study examined the prototype-matching technique for using the five-factor model (FFM) of personality to assess personality disorders (PDs) and their correlates. The sample was composed of 69 psychiatric patients, most of whom suffered from affective or anxiety disorders. The participants were predominantly outpatients (78%), Caucasian…

The authors assess the replicability of the two-factor model of underreporting response style. They then examine the relative performance of scales measuring these styles in analog (ARD) and differential prevalence group (DPG) designs. Principal components analysis produced a two-factor structure corresponding to self-deceptive (SD) and impression…

The authors examined and compared the susceptibility of three Minnesota Multiphasic Personality Inventory-2 (MMPI-2) scale sets (Clinical, Restructured Clinical [RC], and Content) to over- and underreporting using five analog samples. Two samples of 85 and 191 undergraduate students, respectively, took the MMPI-2 under underreporting versus…

The nature of written and oral peer feedback will be described as it occurred in seven writing courses, each with a different design of peer assessment. In all courses, peer feedback was focused on evaluation, which is one of the four feedback functions. Feedback on structure was hardly provided. Relating feedback to design features, we suggest…

This paper presents replies to comments published by M. S. Schulz and R. J. Waldinger, J. M. Wood and M. T. Nezworski, and H. N. Garb and W. M. Grove on the original article by D. Westen and J. Weinberger. Schulz and Waldinger (2005) make the important point that just as researchers can capitalize on the knowledge of experienced clinical observers…

The article uses confirmatory factor analysis (CFA) as a template to explain didactically multilevel structural equation models (ML-SEM) and to demonstrate the equivalence of general mixed-effects models and ML-SEM. An intuitively appealing graphical representation of complex ML-SEMs is introduced that succinctly describes the underlying model and…

In this article, the authors theoretically and empirically explore the concept of learning evaluation. They shed light on the positioning of the learning evaluation amid scholarly work one valuations. Moreover, they describe the learning evaluation in practice in the Netherlands by going into a specific project called the Stimulation Program on…

School violence became a topic of broad national concern in the United States in reaction to a series of tragic school shootings during the 1990s. Efforts to understand and prevent school shootings have stimulated the rapid development of a broader interest in school safety with an emerging multidisciplinary research agenda. The maturation and…

This article reviews the evolution of American Evaluation Association's (AEA) Independent Consulting Topical Interest Group (IC TIG). The TIG goes back a joint meeting held in San Francisco in 1984 of the Evaluation Network (ENet) and the Evaluation Research Society (ERS), two years before the organizations merged to become the AEA. On the fringes…

Oversampling and cluster sampling must be addressed when analyzing complex sample data. This study: (a) compares parameter estimates when applying weights versus not applying weights; (b) examines subset selection issues; (c) compares results when using standard statistical software (SPSS) versus specialized software (AM); and (d) offers…

The authors propose new procedures for evaluating direct, indirect, and total effects in multilevel models when all relevant variables are measured at Level 1 and all effects are random. Formulas are provided for the mean and variance of the indirect and total effects and for the sampling variances of the average indirect and total effects.…

Science tends to find a solution to the problem of the unreliability of human perception by understanding objectivity as the absence of subjectivity. However, from a phenomenological point of view, subjectivity is not so much a problem as an inevitable starting-point. That does not mean that the problem of the correctness of people's accounts of…

There has been renewed discussion of the scientific method, with many voices arguing that it presents a very limited or even wholly incorrect image of the way science is really done. At the same time, the idea of a scientific method is pervasive. This article identifies the scientific method as a simple model for the process of scientific inquiry.…

Beyond the obvious acquisition of the three "R's"--reading, writing and arithmetic--many other benefits derive from learning. Increases in self-esteem and confidence have often been cited as consistent, if unanticipated, outcomes of learning and have been achieved even when there has been limited gain in the competency being learned.…