Quality in the Performing Arts: Aggregating and Rationalizing Expert Opinion

The article is concerned with the issue of quality in drama, opera, and ballet, respectively. Relying on data from an expert opinion survey and from the statistical yearbook on theatres in Germany, the problem is addressed to what extent quality is linked to certain economic variables. After appropriately aggregating the ordinal expert judgments while controlling for expert-specific standards it is shown that this link is considerably closer for ballet and opera than for drama. Furthermore, in all three art forms positive but decreasing marginal returns of artistic expenses in terms of quality prevail.     

Methodological Challenges of Digital Divide Measurements

The term “digital divide” has been used for almost a decade and typically relates to sociodemographic differences in the use of information and communication technology. However, the corresponding measurement is still relatively imprecise. Very often it is simply reduced to comparisons of Internet penetration rates. This article extends the measurements above the usual bivariate comparisons. Within this context, three essential approaches are presented and critically evaluated. First, loglinear modeling is used to address the interactions among the factors affecting the digital divide. Second, compound measures (i.e., the Digital Divide Index) that integrate a number of variables into a single indicator are discussed. Third, time-distance methodology is applied to analyze changes in the digital divide. The article argues that these approaches often yield entirely different conclusions compared to simple bivariate analysis. The examples are presented as a general warning against an oversimplified methodological approach to digital divide studies.     

Development of ethnic, racial, and national prejudice in childhood and adolescence: a multinational meta-analysis of age differences

This meta-analysis summarizes 113 research reports worldwide (121 cross-sectional and 7 longitudinal studies) on age differences in ethnic, racial, or national prejudice among children and adolescents. Overall, results indicated a peak in prejudice in middle childhood (5-7 years) followed by a slight decrease until late childhood (8-10 years). In addition to differences for the various operationalizations of prejudice, detailed findings revealed different age-related changes in prejudice toward higher versus lower status out-groups and positive effects of contact opportunities with the out-group on prejudice development. Results confirm that prejudice changes systematically with age during childhood but that no developmental trend is found in adolescence, indicating the stronger influence of the social context on prejudice with increasing age.     

The role of social capital in the explanation of educational success and educational inequalities

This article examines the role that social capital plays in school success and in the explanation of social and ethnic inequalities in the German educational system. Based on Coleman's well-known concept of social capital, different aspects of social capital are distinguished, including social network composition, parent–school interaction and intrafamilial social capital. In sum, the overall results indicate that the different aspects of social capital influence the school performance of pupils. In addition, social capital endowment is found to be of relevance for the explanation of inequalities in school grades between social classes and ethnic groups. In this respect, the analyses indicate that social capital endowment is part of the underlying mechanism responsible for educational inequalities.     

Case-based learning in virtual groups – collaborative problem solving activities and learning outcomes in a virtual professional training course

This article analyzes the collaborative problem solving activities and learning outcomes of five groups that worked on two different complex cases in a virtual professional training course. In this asynchronous virtual learning environment, all knowledge management content was delivered virtually and collaboration took place through forums. To measure the effects of the problem solving activities, learners' contributions were analyzed with respect to four different problem solving activities: Two content-specific problem solving activities, namely gathering information and developing a solution, and two coordination-specific problem solving activities, namely planning the common approach and steering the interaction process. Results indicated that the learning process was dominated by two central activities: developing a solution and steering the interaction process. Furthermore, the results indicated that the groups with the more complex case used more overall problem solving activities than the groups with the less complex case. There was also a greater range of learning outcomes for learners with the more complex case than for learners with the less complex case. Finally, the number of overall problem solving activities for most of the successful groups was higher than for the less successful groups. Additionally, the more successful groups used more coordination-specific activities than content-specific activities during the problem solving process.     

Data-Generating Mechanisms Versus Constructively Defined Latent Variables in Multitrait–Multimethod Analysis: A Comment on Castro-Schilo,Widaman, and Grimm (2013)

In a recent article, Castro-Schilo, Widaman, and Grimm (2013) compared different approaches for relating multitrait–multimethod (MTMM) data to external variables. Castro-Schilo et al. reported that estimated associations with external variables were in part biased when either the correlated traits–correlated uniqueness (CT-CU) or correlated traits–correlated (methods–1) [CT-C(M–1)] models were fit to data generated from the correlated traits–correlated methods (CT-CM) model, whereas the data-generating CT-CM model accurately reproduced these associations. Castro-Schilo et al. argued that the CT-CM model adequately represents the data-generating mechanism in MTMM studies, whereas the CT-CU and CT-C(M–1) models do not fully represent the MTMM structure. In this comment, we question whether the CT-CM model is more plausible as a data-generating model for MTMM data than the CT-C(M–1) model. We show that the CT-C(M–1) model can be formulated as a reparameterization of a basic MTMM true score model that leads to a meaningful and parsimonious representation of MTMM data. We advocate the use confirmatory factor analysis MTMM models in which latent trait, method, and error variables are explicitly and constructively defined based on psychometric theory.     

Influence of capitalisation and presence of an article in noun phrase recognition in German: Evidence from eye-tracking

Background

German is exceptional in its use of noun capitalisation. It has been suggested that sentence-internal capitalisation as in German may benefit processing by specifically marking a noun and thus a noun phrase (NP). However, other cues, such as a determiner, can also indicate an NP. The influence of capitalisation on processing may thus be context-dependent, that is, dependent on other cues. Precisely this context dependency is investigated in the current study: Is there an effect of capitalisation on reading and is this affected by the presence of other cues such as a determiner (specifically, an article)?

Methods

We ran an eye-tracking study with 30 German-speaking adults, measuring fixations during sentence reading. Critical NPs either contained correctly capitalised nouns or not and were presented either with or without a determiner.

Results

The results show that both the presence of capitalisation on the noun and the presence of a determiner led to faster reading. When no determiner was present to signal the NP, the presence of noun capitalisation aided reading most.

Conclusions

From these results, we conclude that the influence of capitalisation is indeed context dependent: Capitalisation aids processing most when no other cue is present. Thus, different cues play a role in NP recognition. Based on these findings, we argue that noun capitalisation should not be studied in isolation. We argue that a better understanding of capitalisation as a reading aid is relevant for teaching reading strategies.     

Fostering online learning at the workplace: A scheme to identify and analyse collaboration processes in asynchronous discussions

Research has shown that providing participants with high-quality learning material is not sufficient to help them profit most from online education. The level of interaction among participants is another key determinant for learning outcomes. However, merely proposing interaction does not automatically lead to fruitful discussion and collaboration. Specifically, social presence and facilitation activities add value to online discussions. In Murphy's collaboration framework, social presence represents the basis of successful online collaboration from which more reflective discussions and co-construction can evolve. In this paper, an adjusted version of this framework was applied in a workplace learning context. The content analysis of 1170 comments in an online course for careers practitioners of a public employment service showed that the extended framework generated deeper insights into the dynamics of online discussions. The results show that involvement in collaborative learning at the workplace was supported by a high social presence and influenced by course topic and tasks. Facilitation played an important role in creating a sympathetic sense of community and stimulating co-creation processes.     

Creating Impactful Student Learning in a Business Analytics Program through Leveraging Scholar‐Practitioner Engagement

Industry demand for talented analytics professionals has created a significant increase in degree programs (e.g., MS in Analytics) around the globe. Many of these programs incorporate experiential learning in the curriculum to foster a deeper understanding. This article focuses on the value and challenges in implementing experiential learning in an analytics‐focused degree program by incorporating and scaffolding multiple organizational analytics projects throughout the curriculum. In addition, this article focuses on the manner in which these organizational analytics projects can create value for scholars, beyond student learning. Scholar‐practitioner partnerships have the potential to advance not only the field of academic research but also the rigor of actual practice. We report our experiences and best practices in creating and leveraging scholar‐practitioner partnerships in the context of project‐based experiential learning in a Master of Science in Business Analytics (MSBA) program. We provide motivation for creating such partnerships for teaching analytics, document student and organizational success, offer illustrations of exemplary experiential learning projects, and discuss the challenges that need to be managed.