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Download full textVela, Adriana; Jones, Don; Mundy, Marie-Anne; Isaacson, Carrie – Research in Higher Education Journal, 2017
This ex-post-facto quasi-experimental research design was conducted by selecting a convenient sample of approximately 2,000 3rd grade ELLs who took the regular reading and math English STAAR test during the 2014-15 school year in an urban southern Texas school district. This study was conducted using a quantitative research method of data…
Descriptors: Bilingual Education Programs, Quasiexperimental Design, Reading Tests, Mathematics Tests
Direct linkChen, Jinsong; de la Torre, Jimmy; Zhang, Zao – Journal of Educational Measurement, 2013
As with any psychometric models, the validity of inferences from cognitive diagnosis models (CDMs) determines the extent to which these models can be useful. For inferences from CDMs to be valid, it is crucial that the fit of the model to the data is ascertained. Based on a simulation study, this study investigated the sensitivity of various fit…
Descriptors: Models, Psychometrics, Goodness of Fit, Statistical Analysis
Peer reviewedBraden, Jeffery, P.; Weiss, Leonard – Journal of School Psychology, 1988
Applied simple difference and regression methods for determining discrepancies between Intelligence Quotient (IQ) and achievement to second- and fifth-grade IQ, reading and math achievement scores. Simple difference discrepancies covaried with IQ and produced disproportionate ethnic representation for both grades in reading and for second graders…
Descriptors: Educational Diagnosis, Elementary Education, Elementary School Students, Ethics
Sinharay, Sandip – ETS Research Report Series, 2004
Assessing fit of psychometric models has always been an issue of enormous interest, but there exists no unanimously agreed upon item fit diagnostic for the models. Bayesian networks, frequently used in educational assessments (see, for example, Mislevy, Almond, Yan, & Steinberg, 2001) primarily for learning about students' knowledge and…
Descriptors: Bayesian Statistics, Networks, Models, Goodness of Fit
