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Rock, JoAnn Leah; Adler, Rachel M. – ETS Research Report Series, 2014
The purpose of this study was to investigate the ways in which universities use the "GRE"® General Test scores to award merit-based fellowships to first-year graduate students in doctoral programs. While GRE use in fellowship award decisions is a common practice, there is very little validity evidence to support its use in this context.…
Descriptors: Scores, Decision Making, College Entrance Examinations, Graduate Study
Gao, Rui; He, Wei; Ruan, Chunyi – ETS Research Report Series, 2012
In this study, we investigated whether preequating results agree with equating results that are based on observed operational data (postequating) for a college placement program. Specifically, we examined the degree to which item response theory (IRT) true score preequating results agreed with those from IRT true score postequating and from…
Descriptors: College Entrance Examinations, Student Placement, Item Response Theory, True Scores
Walker, Gabriela – College Student Journal, 2008
A quantitative analysis of the admissions requirements guidelines of the education doctoral programs at the top 20 American universities was conducted. An Internet search was used to obtain information on top-ranked world and U.S. universities. Admission requirements typically include, at minimum, an application fee (mean 55.5 USD), previous…
Descriptors: Graduate Study, Universities, Doctoral Programs, Admission Criteria
Sheehan, Kathleen M.; Kostin, Irene; Futagi, Yoko – ETS Research Report Series, 2007
This paper explores alternative approaches for facilitating efficient, evidence-centered item development for a new type of verbal reasoning item developed for use on the GRE® General Test. Results obtained in two separate studies are reported. The first study documented the development and validation of a fully automated approach for locating the…
Descriptors: College Entrance Examinations, Graduate Study, Test Items, Item Analysis
Sheehan, Kathleen M.; Kostin, Irene; Futagi, Yoko; Hemat, Ramin; Zuckerman, Daniel – ETS Research Report Series, 2006
This paper describes the development, implementation, and evaluation of an automated system for predicting the acceptability status of candidate reading-comprehension stimuli extracted from a database of journal and magazine articles. The system uses a combination of classification and regression techniques to predict the probability that a given…
Descriptors: Automation, Prediction, Reading Comprehension, Classification