Effects of Advanced Course-taking on Math and Science Achievement: Addressing Selection Bias Using Propensity Scores

2004 ◽  
Vol 25 (4) ◽  
pp. 461-478
Author(s):  
C LEOW ◽  
S MARCUS ◽  
E ZANUTTO ◽  
R BORUCH
2015 ◽  
Vol 50 (3) ◽  
pp. 265-284 ◽  
Author(s):  
Walter L. Leite ◽  
Francisco Jimenez ◽  
Yasemin Kaya ◽  
Laura M. Stapleton ◽  
Jann W. MacInnes ◽  
...  

2010 ◽  
Vol 41 (2) ◽  
pp. 147-168 ◽  
Author(s):  
Suzanne E. Graham

Selection bias is a problem for mathematics education researchers interested in using observational rather than experimental data to make causal inferences about the effects of different instructional methods in mathematics on student outcomes. Propensity score methods represent 1 approach to dealing with such selection bias. This article describes general principles underlying propensity score methods and illustrates their application to mathematics education research using 2 examples investigating the impact of problem-solving emphasis in mathematics classrooms on students' subsequent mathematics achievement and course taking. Limitations of the method are discussed.


2010 ◽  
Vol 37 (3) ◽  
pp. 265-276 ◽  
Author(s):  
Tina Vršnik Perše ◽  
Ana Kozina ◽  
Tina Rutar Leban

2001 ◽  
Vol 9 ◽  
pp. 33 ◽  
Author(s):  
Algirdas Zabulionis

In 1991-97, the International Association for the Evaluation of Educational Achievement (IEA) undertook a Third International Mathematics and Science Study (TIMSS) in which data about the mathematics and science achievement of the thirteen year-old students in more than 40 countries were collected. These data provided the opportunity to search for patterns of students' answers to the test items: which group of items was relatively more difficult (or more easy) for the students from a particular country (or group of countries). Using this massive data set an attempt was made to measure the similarities among country profiles of how students responded to the test items.


Science ◽  
2005 ◽  
Vol 307 (5709) ◽  
pp. 481-481 ◽  
Author(s):  
R. W. Bybee

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