Relating Latent Class Membership to Continuous Distal Outcomes: Improving the LTB Approach and a Modified Three-Step Implementation

Latent class analysis often aims to relate the classes to continuous external consequences (“distal outcomes”), but estimating such relationships necessitates distributional assumptions. Lanza, Tan, and Bray (2013) suggested circumventing such assumptions with their LTB approach: Linear logistic regression of latent class membership on each distal outcome is first used, after which this estimated relationship is reversed using Bayes’ rule. However, the LTB approach currently has 3 drawbacks, which we address in this article. First, LTB interchanges the assumption of normality for one of homoskedasticity, or, equivalently, of linearity of the logistic regression, leading to bias. Fortunately, we show introducing higher order terms prevents this bias. Second, we improve coverage rates by replacing approximate standard errors with resampling methods. Finally, we introduce a bias-corrected 3-step version of LTB as a practical alternative to standard LTB. The improved LTB methods are validated by a simulation study, and an example application demonstrates their usefulness.     

Institutional Diversity in Higher Education: a Cross-National and Longitudinal Analysis

This paper contributes to the debate on institutional diversity in higher education systems by looking at the phenomenon from a comparative (cross‐national) and longitudinal perspective. Despite the attention to diversity in policy debates, surprisingly, only a limited amount of studies address methodological issues. In addition, the number of empirical studies on institutional diversity is low as well. Data on various Western higher education systems are used to illustrate developments in systems' diversity. Furthermore, these data are put in the context of current national (and supranational) policy debates, particularly the role of governments and markets, on maintaining or increasing diversity.     

Process-Oriented Worked Examples: Improving Transfer Performance Through Enhanced Understanding

The research on worked examples has shown thatfor novices, studying worked examples is oftena more effective and efficient way of learningthan solving conventional problems. Thistheoretical paper argues that addingprocess-oriented information to worked examplescan further enhance transfer performance,especially for complex cognitive skills withmultiple possible solution paths.Process-oriented information refers to theprincipled (``why'') and strategic (``how'')information that experts use when solvingproblems. From a cognitive load perspective,studying the expert's ``why'' and ``how''information can be seen as constituting agermane cognitive load, which can fosterstudents' understanding of the principles of adomain and the rationale behind the selectedoperators, and their knowledge about howexperts select a strategy, respectively. Issueswith regard to the design, implementation, andassessment of effects of process-orientedworked examples are discussed, as well as thequestions they raise for future research.     

Modifying the farmer field school method to support on-farm adaptation of complex rice systems

Purpose: Complex rice systems (CRSs) are polycultures of plants and animals that enhance ecological processes contributing to sustainable and profitable farming systems. However, the contextual management complexity can hamper adoption, despite the large long-term benefits that CRSs offer. This paper aimed to provide a method that encourages active farmer involvement and integrates farmer’s feedback to deliver timely adaptations to CRS management.

Design/methodology/approach: FFSs that are commonly used in guiding rural development processes involve a long process of preparation, weekly meetings and dissemination of new technologies with a greater knowledge flows from researchers or institutions to farmers than contrariwise. We have simplified FFS components and modified its curriculum focusing on extracting and integrating farmers’ feedback into adaptation measures. Surveys were conducted and their results were validated through focus group discussions, which provided an adequate database to simplify the steps in the FFS approach.

Findings: Only four meetings for agroecosystems analysis that emphasised an analytical and reflective learning cycle generated suitable adaptation measures selected from farmers’ feedback. Repetition of the shortened FFS over several rice cropping cycles proved more effective than the frequent meetings within one cropping cycle.

Practical implications: The modified FFS could be considered as a promising approach to training farmers, whilst simultaneously identifying and discovering adaptations of agricultural innovations and monitoring the evolution of complex polycultures like CRSs, under diverse conditions.

Theoretical implications: The modified FFS provides participants additional time to reflect on the training topics, resulting in a significant improvement in their knowledge and the performance of the CRS.

Originality/value: The modified FFS approach is focused on reflexive learning cycles and adaptation of innovations. Therefore, it is highly suitable for management of complex polycultures such as CRSs.     

Walking the tightrope with an e-portfolio: imbalance between support and autonomy hampers self-directed learning

Teacher coaching is essential to support self-directed learning, but requires a lot of time and energy. This mixed-methods study investigated the effects of using an e-portfolio with a self-coaching protocol and limited teacher coaching on the development of self-directed learning skills and motivation. With regard to self-directed learning, students’ overestimation of performance on learning tasks grew over time, while their ability to formulate points for improvement did not change significantly. With regard to motivation, students’ controlled (i.e. largely extrinsic) motivation increased while their autonomous (i.e. largely intrinsic) motivation decreased. Thematic analysis of interviews demonstrated students needed more support and feedback from their teacher. The use of suboptimal cues for performance assessment and an imperfect balance between autonomy and support hampered self-directed learning and motivation. We recommend providing just-in-time feedback about performance on learning tasks and giving students some autonomy over the choice of learning tasks, to enhance reflection and motivation.     

Updating Latent Class Imputations with External Auxiliary Variables

Latent class models are often used to assign values to categorical variables that cannot be measured directly. This “imputed” latent variable is then used in further analyses with auxiliary variables. The relationship between the imputed latent variable and auxiliary variables can only be correctly estimated if these auxiliary variables are included in the latent class model. Otherwise, point estimates will be biased. We develop a method that correctly estimates the relationship between an imputed latent variable and external auxiliary variables, by updating the latent variable imputations to be conditional on the external auxiliary variables using a combination of multiple imputation of latent classes and the so-called three-step approach. In contrast with existing “one-step” and “three-step” approaches, our method allows the resulting imputations to be analyzed using the familiar methods favored by substantive researchers.     

`Alternative' Universities Revisited: A Study of the Distinctiveness of Universities Established in the Spirit of 1968

In the late 60s and early 70s,several universities were set up in variousEuropean countries with the intention ofproviding an alternative to establishedinstitutions of higher education. The newuniversities were expected, amongst otherthings, to experiment with new forms ofleadership and management internally, giveteaching and learning higher priority, and tobe regional relevant institutions for the areain which they were located. The paper analysesto what extent three such universityestablishments: Aalborg University in Denmark,Maastricht University in the Netherlands andTromsø University in Norway have managed tomaintain and develop their alternative profileduring the last thirty years. The studysuggests that even though the universities insome areas have adapted to environmentalpressure, they have managed to keep theirprofile as innovative and alternative.     

Novice and experienced instructional software developers: effects on materials created with instructional software templates

The development of instructional software is a complex process, posing high demands to the technical and didactical expertise of developers. Domain specialists rather than professional developers are often responsible for it, but authoring tools with pre-structured templates claim to compensate for this limited experience. This study compares instructional software products made by developers with low production experience (n = 6) and high production experience (n = 8), working with a template-based authoring tool. It is hypothesized that those with high production experience will be more productive and create software with a higher didactical quality than those with low production experience, whereas no differences with regard to technical and authoring quality are expected. The results show that the didactical quality was unsatisfactory and did not differ between groups. Nevertheless the templates compensated for differences in experience because the technical and authoring quality was equal for both groups, indicating that templates enable domain specialists to participate successfully in the production process.