Descriptive analyses of socially important or theoretically interesting phenomena and trends are a vital component of research in the behavioral, social, economic, and health sciences. Such analyses yield reliable results when using representative individual participant data (IPD) from studies with complex survey designs, including educational…

One major challenge of longitudinal data analysis is to find an appropriate statistical model that corresponds to the theory of change and the research questions at hand. In the present article, we argue that "continuous-time models" are well suited to study the continuously developing constructs of primary interest in the education…

Many of the analytical models commonly used in educational research often aim to maximize explained variance and identify variable importance within models. These models are useful for understanding general ideas and trends, but give limited insight into the individuals within said models. Data envelopment analysis (DEA), is a method rooted in…

Data analysis is a significant methodological component when conducting quantitative education studies. Guidelines for conducting data analyses in quantitative education studies are common but often underemphasize four important methodological components impacting the validity of inferences: quality of constructed measures, proper handling of…

Educational data mining (EDM) has been a rapidly growing research field over the last decade and enabled researchers to discover patterns and trends in education with more sophisticated methods. EDM offers promising solutions to complex educational problems. Given the rapid increase in the availability of big data in education and software…

The Stanford Educational Data Archive (SEDA) is the first data set to allow comparisons of district academic achievement and growth from Grades 3 to 8 across the United States, shining a light on the distribution of educational opportunities. This study describes a convergent validity analysis of the SEDA growth estimates in mathematics and…

Data mining has been successfully used by financial and retail companies since the mid-1960's to create predictive models and reveal unexpected relationships. However, it remains underutilized as a tool in educational research. Large-scale standardized assessment programs such as the Trends in International Mathematics and Science Study (TIMSS)…

IES is the primary research, evaluation, and statistics arm of the U.S. Department of Education. Established through the Education Sciences Reform Act of 2002 (ESRA), the Institute's mission is to expand fundamental knowledge and understanding of education and to provide education leaders and practitioners, parents and students, researchers, and…

We estimated the invariance of educational achievement (EA) and learning attitudes (LA) measures across nations. A multi-group confirmatory factor analysis was used to estimate the invariance of educational achievement and learning attitudes across 55 nations (Programme for International Student Assessment [PISA] 2006 data, N = 354,203). The…

This study tests a process model of learning in which trainer and trainee traits are simultaneously considered as endogenous variables of learning outcomes. The article builds on a social view of training and similarity-attraction paradigms. In this context, the authors hypothesize that trainer-trainee similarity in personality (agreeableness)…

Declining test scores have been a major cause for concern in the past year. Describes the decline and explores some possible causes. (Editor/RK)

Interim results of the American Institutes for Research study on the impact of the ESEA Title VII Spanish/English Bilingual Education Program imply that certain inferences can be made about the program, inferences which are unjustifiable. By providing only statistical averages on a national sample, the report does a serious disservice by failing…

Recent international studies note that countries whose students perform well on international science assessments report the need to change science education. Some countries use assessments for diagnostic purposes to assist teachers in addressing their students' needs. However, in the United States, standards-based reform has focused the national…

Test development efforts for constructing 12 items to measure achievement of each of 30 selected language arts concepts are described. Item and total score statistics for data collected on 186 boys and 259 girls who had just begun the sixth grade are presented and discussed. (Author)

Performance on The Scholastic Aptitude Test-Verbal (SAT-V) and Mathematical (SAT-M), the applicant's rank in class or Converted Secondary School Rank (Rank), and the applicant's general level of measured secondary school achievement as indicated by the Average of CEEB Achievement Tests (ACH AV) has been used by Vassar College as admissions…