25 papers · ranked by Valyu relevance
Judith Schoonenboom, R. Burke Johnson
This article provides researchers with knowledge of how to design a high quality mixed methods research study. To design a mixed study, researchers must understand and carefully consider each of the dimensions of mixed methods design, and always keep an eye on the issue of validity. We explain the seven major design…
Anu Kajamaa, Karen Mattick, Anne de la Croix
Title: Summary As a clinician, you will often combine patients’ narratives with test results in order to obtain a coherent picture and then decide on a way forward. As an educator, you are also likely to combine different information from your learners to arrive at the best feedback, judgement or supervision plan. This…
Gunther Eysenbach, Justine Baron, Bronnie Thompson, Cigdem Sahin + 1 more
'Patti-Jean Naylor'] Background Considering the increasing incidence and prevalence of diabetes worldwide and the high level of patient involvement it requires, diabetes self-management is a serious issue. The use of mobile health (mHealth) in diabetes self-management has increased, but so far research has not provided…
M. Teresa Anguera, Angel Blanco-Villaseñor, Gudberg K. Jonsson, José Luis Losada + 1 more
Mixed methods research burst onto the scene around the beginning of the second millennium. After decades of intense dispute between those who preferred the qualitative perspective and their quantitative counterparts-with both sides having grown deeply entrenched in their respective views-a complementary approach…
Elisiane Lorenzini, Sandra Patricia Osorio-Galeano, Catiele Raquel Schmidt, Wilson Cañon-Montañez
'Catiele Raquel Schmidt' 'Wilson Cañon-Montañez'] Title: Abstract Mixed methods research represents a dynamic approach, that combines quantitative and qualitative perspectives in the same study to answer complex questions, beyond the reach of each method used separately. This type of research is increasingly used in…
Margaret‐Anne Storey, Rashina Hoda, Alessandra Maciel Paz Milani, María Teresa Baldassarre
Engineering Authors: ['Margaret‐Anne Storey' 'Rashina Hoda' 'Alessandra Maciel Paz Milani' 'María Teresa Baldassarre'] Abstract Mixed and multi methods research is often used in software engineering, but researchers outside of the social or human sciences often lack experience when using these designs. This paper…
Rebecca Eynon, Isis Hjorth, Taha Yasseri, Nabeel Gillani
Massive Open Online Courses (MOOCs) offer unprecedented opportunities to learn at scale. Within a few years, the phenomenon of crowd-based learning has gained enormous popularity with millions of learners across the globe participating in courses ranging from Popular Music to Astrophysics. They have captured the…
Jhon Jairo Mosquera Rodas
Nota importante: La revista Scientia et Technica está en periodo de transición total del idioma principal español al idioma inglés. Por lo anterior, se sugiere que el artículo sea enviado principalmente en este idioma cumpliendo los estándares de calidad en las competencias de redacción, ya que los artículos en inglés…
Niels Spierings, Nella Geurts
Sometimes ‘mixed methods designs’ are considered a winner for obtaining research grants, but a close-to-certain reject when publishing. Evidently, reality is more complex. At the same time, these considerations are grounded in actual experiences, observations and the structure of our epistemic community. In this…
Dantong Wang, Paul Stapor, Jan Hasenauer
Mixed effect modeling is widely used to study cell-to-cell and patient-to-patient variability. The population statistics of mixed effect models is usually approximated using Dirac mixture distributions obtained using Monte-Carlo, quasi Monte-Carlo, and sigma point methods. Here, we propose the use of a method based on…
Thomas Lynn, Julio Ottino, Richard Lueptow, Paul Umbanhowar
Cut-and-shuffle mixing is an instructive candidate system with which to assess the potential of machine learning (ML) as an approach to solve difficult mixing problems. We focus on a specific subset of cut-and-shuffle systems, the one-dimensional interval exchange transform. This class of mixing operations is well…
Andrew Bennett, Bear Braumoeller
This paper analyzes the working or default assumptions researchers in the formal, statistical, and case study traditions typically hold regarding the sources of unexplained variance, the meaning of outliers, parameter values, human motivation, functional forms, time, and external validity. We argue that these working…
Antonino Visalli, Maria Montefinese, Giada Viviani, Livio Finos + 2 more
Mixed-effects models are the current standard for the analysis of behavioral studies in psycholinguistics and related fields, given their ability to simultaneously model crossed random effects for subjects and items. However, they are hardly applied in neuroimaging and psychophysiology, where the use of mass univariate…
Brendan Bulik-Sullivan
Mixed models are an effective statistical method for increasing power and avoiding confounding in genetic association studies. Existing mixed model methods have been designed for “pooled” studies where all individual-level genotype and phenotype data are simultaneously visible to a single analyst. Many studies follow a…
Jacqueline Milet, Hervé Perdry
Mixed linear models (MLM) have been widely used to account for population structure in case-control genome-wide association studies, the status being analyzed as a quantitative phenotype. Chen et al. proved that this method is inappropriate and proposed a score test for the mixed logistic regression (MLR). However this…
Yingqi Tian, Zhaoxuan Xie, Zhen Luo, Haibo Ma
Using the mixed precision strategy to optimize quantum chemistry codes has been proved promising in saving computational cost and maintaining chemical accuracy. Here, an efficient mixed-precision density matrix renormalization group (DMRG) scheme, containing a two-level mixed-precision hierarchy, is developed and…
Dylan M. Nielson, Per B. Sederberg
Mixed effects models provide significant advantages in sensitivity and flexibility over typical statistical approaches to neural data analysis, but mass univariate application of mixed effects models to large neural datasets is computationally intensive. Threshold free cluster enhancement also provides a significant…
Ali Habibnia, Jonathan Gendron
In this paper, we conduct a simulation study to evaluate conventional meta-regression approaches (study-level random, fixed, and mixed effects) against seven methodology specifications new to meta-regressions that control joint heterogeneity in location and time (including a new one that we introduce). We…
Giovanny Covarrubias-Pazaran
In the last decade the use of mixed models has become a pivotal part in the implementation of genome-assisted prediction in plant and animal breeding programs. Exploiting the use genetic correlation among traits through multivariate predictions has been proposed in recent years as a way to boost prediction accuracy and…
Authors not listed
Experimental design plays an important role in efficiently acquiring informative data for system characterization and deriving robust conclusions under resource limitations. Recent advancements in high-throughput experimentation coupled with machine learning have notably improved experimental procedures. While Bayesian…
Dylan G.E. Gomes
As (generalized) linear mixed-effects models (GLMMs) have become a widespread tool in ecology, the need to guide the use of such tools is increasingly important. One common ‘rule of thumb’ is that one needs at least five levels of a random effect. Having such few levels makes the estimation of the variance of random…
Pablo Quijano Velasco, Kedar Hippalgaonkar, Balamurugan Ramalingam
The discovery of optimal conditions of chemical reactions is a labor-intensive, time-consuming task that requires exploring a high-dimensional parametric space. Historically the optimization of chemical reactions has been performed by manual experimentation guided by human intuition and Design of Experiments where one…
Sean McGrath, Xiaofei Zhao, Zhi Zhen Qin, Russell Steele + 1 more
'Andrea Benedetti'] We consider the problem of meta-analyzing two-group studies that report the median of the outcome. Often, these studies are excluded from meta-analysis because there are no well-established statistical methods to pool the difference of medians. To include these studies in meta-analysis, several…
Authors not listed
Mechanical agitation (stirring) is a cornerstone of organic synthesis, but has received little scientific attention due to its “obvious” role in facilitating reactions. A very recent study by Huang and coworkers compared the isolated yields in approximately 600 paired stirred and unstirred reactions, across a range of…
Aniket Chitre, David Woods, Alexei Lapkin
Liquid formulations design typically involves searching a high-dimensional space, owing to the combinatorial selection of ingredients from a larger subset of available ingredients, with a relatively limited experimental budget. Therefore, we need to efficiently select the most informative experiments. These experiments…