Research suggests that a country does not need inequity to have high performance. However, such research has potentially suffered from confounders present in between-country comparative research (e.g., latent cultural differences). Likewise, relatively little consideration has been given to whether the situation may be different for high- or…

Utilizing rich data on nearly 11,000 educators over 17 academic years in a highly diverse context, we examine the career paths of teachers to determine whether and when they transition into the principalship. We utilize a variety of event history analyses, including discrete-time hazard modeling, to determine how an individual's race, gender, and…

Given prior research indicating that teachers can learn through their social network interactions with colleagues, it is important to understand more about the choices teachers make about whom to go to for advice. In this study, we investigated the degree to which middle school mathematics teachers change from whom they seek advice when…

High-stakes tests are the most heavily weighted measures in accountability systems developed in response to No Child Left Behind. While some studies show high-stakes accountability being related to test score gains, others suggest these policies do not improve achievement and often result in unintended consequences. To understand mechanisms…

See TM 501 201-2 for related articles. (MLP)

See TM 501 201-3 and EJ 060 883 for related articles. (MLP)

See TM 501 202-3 and EJ 060 883 for related articles. (MLP)

See EJ 041 277 for original article. (DG)

Twelve multiple comparison tests, both simultaneous and sequential, are described, analyzed, and evaluated. Overall recommendations are presented in a flow-diagram. (DG)

Regions of significance in aptitude-by-treatment-interaction studies are examined by the traditional statistical approach and an alternative approach which integrates: (1) testing for the parallelism of two or more regression lines; (2) testing for their identity; and (3) Scheffe's theorem. (Author/RL)

See TM 500 270 in this issue. (CK)

This paper describes two statistics (chi square and Kendall's S) which may be used to test hypotheses about the association between two variables when observations are cross-classified in a contingency table. (CK)

Kaufman and Sweet's article on the regression analysis of unbalanced factorial designs (EJ 111 767) is reviewed. A number of errors are noted, and relevant literature is cited. (GDC)

There are difficulties in expressing effect sizes on a common metric when some studies use transformed scales to express group differences, or use factorial designs or covariance adjustments to obtain a reduced error term. A common metric on which effect sizes may be standardized is described. (Author/RL)