22 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…
Anna-Marie Wium, Brenda Louw
Background: Mixed-methods research (MMR) offers much to healthcare professions on clinical and research levels. Speech-language therapists and audiologists work in both educational and health settings where they deal with real-world problems. Through the nature of their work, they are confronted with multifaceted…
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…
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…
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…
Stephen L. France
Review and Empirical Reanalysis Authors: ['Stephen L. France'] This article gives an integrative review of research using projective methods in the consumer research domain. We give a general historical overview of the use of projective methods, both in psychology and in consumer research applications, and discuss the…
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…
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…
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…
Florian Rohart, Benoît Gautier, Amrit Singh, Kim-Anh Lê Cao
The advent of high throughput technologies has led to a wealth of publicly available ‘omics data coming from different sources, such as transcriptomics, proteomics, metabolomics. Combining such large-scale biological data sets can lead to the discovery of important biological insights, provided that relevant…
Jil Klünder, Regina Hebig, Paolo Tell, Marco Kuhrmann + 17 more
'Joyce Nakatumba‐Nabende' 'Rogardt Heldal' 'Stephan Krusche' 'Masud Fazal-Baqaie' 'Michael Felderer' 'Marcela Fabiana Genero Bocco' 'Steffen Küpper' 'Sherlock A. Licorish' 'Gustavo López' 'Fergal McCaffery' 'Özden Özcan‐Top' 'Christian R. Prause' 'Rafael Prikladnicki' 'Eray Tüzün' 'Dietmar Pfahl' 'Kurt Schneider'…
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…
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…
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…
Paolo Tell, Jil Klünder, Steffen Küpper, David Raffo + 5 more
'Stephen G. MacDonell' 'Jürgen Münch' 'Dietmar Pfahl' 'Oliver Linssen' 'Marco Kuhrmann'] Full citation: Tell, P., Klünder, J., Küpper, S., Raffo, D., MacDonell, S.G., Münch, J., Pfahl, D., Linssen, O., & Kuhrmann, M. (2019) What are hybrid development methods made of? An evidence-based characterization, in Proceedings…
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…
Joakim Nyberg, E. Niclas Jonsson, Mats O. Karlsson, Jonas Häggström
Two full model approaches was compared with respect to their ability to handle missing covariate information. The reference data analysis approach was the full model method in which the covariate effects are estimated conventionally using fixed effects, and missing covariate data is imputed with the median of the…
Brett T. McClintock
Hidden Markov models (HMMs) that include individual-level random effects have recently been promoted for inferring animal movement behaviour from biotelemetry data. These “mixed HMMs” come at significant cost in terms of implementation and computation, and discrete random effects have been advocated as a practical…
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…