Finally, we will suggest the most promising methodologies that will enable continued progress in the field.
While there is emerging research, most research methodologies that investigate science identity employ methods such as interviews and case studies, which are not adaptable for use in undergraduate biology classrooms with large numbers of students.
Life cycle assessment (LCA) is considered to be the most systematic methodology that is widely used in the area of energy analysis.
Most published articles propose methodologies that solve each of these tasks in a decoupled way.
These capabilities of the RPM platform stand out very favorably on comparisons with the most recently adopted diagnostic methodologies that are based on real-time reverse-transcription, polymerase chain reaction methods (RT-PCR).
Theories and methodologies that are found most practically useful are "math-based methods", "methodologies to achieve concrete design goals," and "process methodologies", while at educational institutes in addition to these, traditional design methodologies are also taught.
A thorough review of early school leaving (Lehr et al. 2003) revealed that research on school dropout has been overwhelmingly predictive or descriptive (mainly analyzing predictive/explicative causes of dropouts) in nature and that most methodologies used to evaluate the effectiveness of interventions have been of low quality and have very little scientific merit or relevance.
We strived to develop a rigorous methodology that would most accurately reflect authorizers' ability to promote student achievement, while not penalizing authorizers for opening schools in high-poverty communities.
We validated the genetic methodology that is most appropriate for Thunnus species identification by testing three different genetic markers: mitochondrial control region (mtDNA CR), mitochondrial cytochrome oxidase subunit I gene (COI) and the nuclear Internal transcribed spacer region of ribosomal RNA (ITS1).
While this finding may vary from trait to trait, the heritability estimates obtained from the methodology that is most similar to REML/GBLUP (BayesC0) were stable over bootstrap samples, and appeared to be unaffected by GenSel's scaling parameters in our study (unlike BayesCπ).
