Multilevel analysis in CSCL Research

Janssen, J., Erkens, G., Kirschner, P. A., & Kanselaar, G. (2011). Multilevel analysis in CSCL research. In S. Puntambekar, G. Erkens, & C. Hmelo-Silver (Eds.), Analyzing interactions in CSCL: Methods, approaches and issues (pp. 187-205). New York: Springer. doi:10.1007/978-1-4419-7710-6_9CSCL researchers are often interested in the processes that unfold between learners in online learning environments and the outcomes that stem from these interactions. However, studying collaborative learning processes is not an easy task. Researchers have to make quite a few methodological decisions such as how to study the collaborative process itself (e.g., develop a coding scheme or a questionnaire), on the appropriate unit of analysis (e.g., the individual or the group), and which statistical technique to use (e.g., descriptive statistics, analysis of variance, correlation analysis). Recently, several researchers have turned to multilevel analysis (MLA) to answer their research questions (e.g., Cress, 2008; De Wever, Van Keer, Schellens, & Valcke, 2007; Dewiyanti, Brand-Gruwel, Jochems, & Broers, 2007; Schellens, Van Keer, & Valcke, 2005; Strijbos, Martens, Jochems, & Broers, 2004; Stylianou-Georgiou, Papanastasiou, & Puntambekar, chapter #). However, CSCL studies that apply MLA analysis still remain relatively scarce. Instead, many CSCL researchers continue to use ‘traditional’ statistical techniques (e.g., analysis of variance, regression analysis), although these techniques may not be appropriate for what is being studied. An important aim of this chapter is therefore to explain why MLA is often necessary to correctly answer the questions CSCL researchers address. Furthermore, we wish to highlight the consequences of failing to use MLA when this is called for, using data from our own studies

Diverse aging rates in ectothermic tetrapods provide insights for the evolution of aging and longevity

Comparative studies of mortality in the wild are necessary to understand the evolution of aging; yet, ectothermic tetrapods are underrepresented in this comparative landscape, despite their suitability for testing evolutionary hypotheses. We present a study of aging rates and longevity across wild tetrapod ectotherms, using data from 107 populations (77 species) of nonavian reptiles and amphibians. We test hypotheses of how thermoregulatory mode, environmental temperature, protective phenotypes, and pace of life history contribute to demographic aging. Controlling for phylogeny and body size, ectotherms display a higher diversity of aging rates compared with endotherms and include phylogenetically widespread evidence of negligible aging. Protective phenotypes and life-history strategies further explain macroevolutionary patterns of aging. Analyzing ectothermic tetrapods in a comparative context enhances our understanding of the evolution of aging.Animal science

Test Pattern Generator

Abstract: In this paper, we present a new low power BIST test pattern generator that provides test vectors which can reduce the switching activity during test operation. The proposed low power/energy BIST technique is based on a modified clock scheme for the TPG and the clock tree feeding the TPG. Numerous advantages can be found in applying such a technique. The fault coverage and the test time are roughly the same as those achieved using a standard BIST scheme. The area overhead is nearly negligible and there is no penalty on the circuit delay. The proposed BIST scheme does not require any circuit design modification beyond the parallel BIST technique, is easily implemented and has low impact on the design time. It has been implemented based on an LFSR-based TPG, but can also be designed using a cellular automata. Reductions of the energy, average power and peak power consumption during test operation are up to 94%, 55 % and 48 % respectively for ISCAS and MCNC benchmar

Pathogen threat increases electoral success for conservative parties: Results from a natural experiment with COVID-19 in France.

Conservative ideology is closely linked with pathogen prevalence, and adherence to conservative values increases under pathogen threat. To this day, few studies have demonstrated this effect using ecological voter data. For the first time, we analyze results from an election (the 2020 French local election) which was held during the growing coronavirus disease 2019 (COVID-19) spread in the country. Using mixed modeling on county-level data (N = 96), we show that perceived COVID-19 threat (search volume indices) but not real threat (prevalence rates) prior to the election are positively associated with an increase in conservative votes only. These results were robust to adjustment on several covariates including abstention rates, prior electoral scores for conservative parties, and economic characteristics. Overall, a 1% increase in COVID-19 search volumes lead to an increase in conservative votes of .25%, 95% CI [.08, .41]. These results highlight the relevance of evolutionary theory for understanding real-life political behavior and indicate that the current COVID-19 pandemic could have a substantial impact on electoral outcomes. (PsycInfo Database Record (c) 2022 APA, all rights reserved