When analysing course-level data by subgroups based upon some demographic characteristics, the numbers in analytical cells are often too small to allow inferences to be drawn that might help in the enhancement of practices. However, relatively simple analyses can provide useful pointers. This article draws upon a study involving a partnership with…

This chapter will provide potential models for analyzing learning data through a discussion of screening data and then analyzing that data using appropriate statistical techniques.

This brief considers the problem of using value-added scores to compare teachers who work in different schools. The author focuses on whether such comparisons can be regarded as fair, or, in statistical language, "unbiased." An unbiased measure does not systematically favor teachers because of the backgrounds of the students they are…

In May of 2011, the "Los Angeles Times" published, for the second time, results of statistical studies examining the variation in teacher and school performance in the Los Angeles Unified School District, based on the California Standards Tests for math and English Language Arts (ELA). The studies use data from the seven academic years…

The OECD Program for International Student Assessment (PISA) and the OECD Teaching and Learning International Survey (TALIS) constitute two of the largest ongoing international student and teacher surveys presently underway. Data generated from these surveys offer researchers and policy-makers opportunities to identify particular educational…

Little is known about levels of personal growth attributed by students to typical college life experiences. This paper documents two studies of student self-reported and posttraumatic growth and compares growth levels across populations. Both studies measure student attributions of cause to academic and non-academic experiences, respectively. It…

Value-added modeling is an alternative approach to test-based accountability systems based on the proportions of students scoring at or above pre-determined proficiency levels. Value-added modeling techniques provide opportunities to estimate an individual teacher's effect on student learning, while allowing for the possibility to control for the…

No Child Left Behind has increased data collection and reporting, the development of data systems, and interest in using data for decision-making in schools and classrooms. Ends-driven decision making has become common educational practice, where the ends justify the means at all costs, and short-term results trump longer-term outcomes and the…

As teachers and leaders are well aware, schools and districts across the country have invested enormous amounts of money and energy in creating data management systems so that teachers can access information about their students' performance. With these systems in place, the focus now needs to move to the structures and allocation of time that…

In meta-analysis, it is common to have dependent effect sizes, such as several effect sizes from the same sample but measured at different times. Cheung and Chan proposed the adjusted-individual and adjusted-weighted procedures to estimate the degree of dependence and incorporate this estimate in the meta-analysis. The present study extends the…

Research on student achievement within the University of Chicago School Mathematics Project (UCSMP) and Core-Plus Mathematics Project (CPMP) at the secondary level is beginning to accumulate, however, much less is known about how prepared these students are for post-secondary education. Therefore this study involving students within one tracked…

This paper reviews studies from twelve less-industrialized countries on the relationship between textbook availability and academic achievement. The studies included a variety of measures, methodologies, and reporting procedures and focused on different achievement indicators, for example, math, science, reading, and language. The paper points out…

Contrary to the findings of previous studies that foreign students at British Universities are less successful academically than British students, this study concludes that Norwegian students had a lower failure rate and compared favorably in examination performance with British students. The question of whether motivation explains this high…

Age at first birth is strongly and negatively associated with educational achievement. In addition, there is no evidence that early childbearers catch up with their childless age peers. However, whites seem to incur a greater educational decrement than blacks. (Author/GC)