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Multiple traits are used in this approach to examine (a) similar or (b) dissimilar traits (), in order to establish convergent and discriminant validity between traits. . Similarly, multiple methods are used in this approach to examine the differential effects (or lack thereof) caused by method specific va
Multimethodology or multimethod research includes the use of more than one method of data collection or research in a research study or set of related studies.Mixed methods research is more specific in that it includes the mixing of qualitative and quantitative data, methods, methodologies, and/or paradigms in a research study or set of related studies.
In 1990 three groups described methods for preparing peptide libraries by biological methods [15] [16] [17] and one year later Fodor et al. published a remarkable method for synthesis of peptide arrays on small glass slides. [18] A "parallel synthesis" method was developed by Mario Geysen and his colleagues for preparation of peptide arrays. [19]
Andy Field (2009) [1] provided an example of a mixed-design ANOVA in which he wants to investigate whether personality or attractiveness is the most important quality for individuals seeking a partner. In his example, there is a speed dating event set up in which there are two sets of what he terms "stooge dates": a set of males and a set of ...
A way to design psychological experiments using both designs exists and is sometimes known as "mixed factorial design". [3] In this design setup, there are multiple variables, some classified as within-subject variables, and some classified as between-group variables. [3] One example study combined both variables.
Convergent evolution—the repeated evolution of similar traits in multiple lineages which all ancestrally lack the trait—is rife in nature, as illustrated by the examples below. The ultimate cause of convergence is usually a similar evolutionary biome , as similar environments will select for similar traits in any species occupying the same ...
In view of the subspace correction framework, [11] BPX preconditioner is a parallel subspace correction method where as the classic V-cycle is a successive subspace correction method. The BPX-preconditioner is known to be naturally more parallel and in some applications more robust than the classic V-cycle multigrid method.
Parallel metaheuristic is a class of techniques that are capable of reducing both the numerical effort [clarification needed] and the run time of a metaheuristic. To this end, concepts and technologies from the field of parallelism in computer science are used to enhance and even completely modify the behavior of existing metaheuristics.