Andrew Ho
Associated IES Content
FY2012 - FY2014
FY2012 - FY2014 Statistics and Modeling Peer Review Panel
Grant
Addressing Practical Problems in Achievement Gap Estimation: Nonparametric Methods for Censored Data
The project developed and assessed a set of methods for estimating achievement gaps and their standard errors in order to address two practical problems affecting the use of achievement gap statistics: (1) the dependence of traditional gap statistics-mean differences and effect sizes-upon scaling decisions, and (2) the reporting of achievement data in categorical terms (e.g., below basic, basic, proficient, and advanced) rather than as test score results and their distributional statistics (...
Federal funding program:
Award number:
R305D110018
FY2011 - FY2013
FY2011 - FY2013 Statistics and Modeling Peer Review Panel
FY2010 - FY2012
FY2010 - FY2012 Statistics and Modeling Peer Review Panel
Grant
Evaluating the Impact of the Choice of Test Score Scale on the Measurement of Individual Student Growth
State and federal educational policies are focusing increasingly on school accountability for individual student growth. As statistical models and policy approaches proliferate, little attention is paid to the serious dependency of growth statistics on the choice of the test score scale. A different score scale, defined by a nonlinear transformation of the original score scale, can theoretically alter growth statistics, reverse aggregate trends, and distort interpretations from so called val...
Federal funding program:
Award number:
R305U070008
Grant
A Framework for Subscale-level Comparisons of NAEP and State Testing Results Using Metric-free Gap and Trend Statistics
The purpose of this study is to develop a metric-free methodology that supports accurate cross-test comparisons of trends and gaps while taking NAEP sampling and scaling methods into account and to apply this new methodology to comparisons between NAEP and state testing program results.
Federal funding program:
Award number:
R902B06007