What Do Test Scores in Texas Tell Us?

نویسندگان

  • Stephen P. Klein
  • Laura S. Hamilton
  • Daniel F. McCaffrey
  • Brian M. Stecher
چکیده

We examine the results on the Texas Assessment of Academic Skills (TAAS), the highest-profile state testing program and one that has recorded extraordinary recent gains in math and reading scores. To investigate whether the dramatic math and reading gains on the TAAS represent actual academic progress, we have compared these gains to score changes in Texas on another test, the National Assessment of Educational Progress (NAEP). Texas students did improve significantly more on a fourth-grade NAEP math test than their counterparts nationally. But, the size of this gain was smaller than their gains on

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

What Do College Ranking Data Tell Us About StudentRetention : Causal Discovery In ActionMarek

We describe an application of the TETRAD II causal discovery program to the problem of search for causes of low student retention in U.S. universities. TETRAD II discovers a class of possible causal structures of a system from a data set containing measurements of the system variables. The signiicance of learning the causal structure of a system is that it allows for predicting the eeect of int...

متن کامل

Statistical Evidence in Medical Trials: What Do the Data Really Tell Us?

Excellent book is always being the best friend for spending little time in your office, night time, bus, and everywhere. It will be a good way to just look, open, and read the book while in that time. As known, experience and skill don't always come with the much money to acquire them. Reading this book with the PDF statistical evidence in medical trials what do the data really tell us will let...

متن کامل

Sparse Data and the Effect of Overfitting Avoidance in Decision Tree Induction

the training data itself to tell us whether it is sparse enough to make unpruned trees preferable. As argued at length in Schaaer, 1992b], training data cannot tell us what bias is appropriate to use in interpreting it. In particular, the sparsity of data depends on the complexity of the true relationship underlying data generation; and it is not data but domain knowledge that can tell us how c...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2008