J
John W. Young
Researcher at University of British Columbia
Publications - 63
Citations - 1543
John W. Young is an academic researcher from University of British Columbia. The author has contributed to research in topics: Predictive validity & Membrane protein. The author has an hindex of 21, co-authored 57 publications receiving 1401 citations. Previous affiliations of John W. Young include Rutgers University & Princeton University.
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A Comparison of Two Adjustment Methods for Improving the Prediction of Law School Grades.
TL;DR: In this article, two statistical approaches for adjusting grades were tested on data obtained from four American law schools and found that they yielded consistent improvements in the predictive validity of Law School Admission Test (LSAT) scores and undergraduate grades.
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Examining the Validity of Standards-Based Assessments for Initially Fluent Students and Former English Language Learners
John W. Young,Jonathan Steinberg,Fred Cline,Elizabeth Stone,Maria Martiniello,Guangming Ling,Yeonsuk Cho +6 more
TL;DR: The authors investigated the validity of several standards-based assessments in mathematics and science for these two student groups and found a very high degree of score comparability, when compared with native English speakers, for the bilingual or multilingual students who were already English proficient when they entered the school system (IFEPs), and former English language learners, those students that were once classified as ELLs but are now reclassified as being English proficient (RFEPs).
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His-Tagged Peptidiscs Enable Affinity Purification of the Membrane Proteome for Downstream Mass Spectrometry Analysis.
John W. Young,Irvinder Singh Wason,Zhiyu Zhao,David G Rattray,Leonard J. Foster,Franck Duong Van Hoa +5 more
TL;DR: A His-tagged version of the peptidisc peptide scaffold is employed to enrich the reconstituted membrane proteome by affinity chromatography, which reduces the sample complexity by depleting ribosomal and soluble proteins that often cosediment with cellular membranes.
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Retaining Women in the Sciences: Evidence from Douglass College's Project Super
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The Validity of Scores from the GRE ® revised General Test for Forecasting Performance in Business Schools: Phase One
TL;DR: The authors used a hierarchical linear model (HLM) to estimate regression models with first-semester MBA grade point average (GPA) or cumulative MBA GPA as the dependent variable and GRE scores and undergraduate GPA as independent variables.