Incomplete nonnormal data are common occurrences in applied research. Although these 2 problems are often dealt with separately by methodologists, they often cooccur. Very little has been written about statistics appropriate for evaluating models with such data. This article extends several existing statistics for complete nonnormal data to…

To describe the recent practice of evaluation, specifically method and design choices, the authors performed a content analysis on 117 evaluation studies published in eight North American evaluation-focused journals for a 3-year period (2004-2006). The authors chose this time span because it follows the scientifically based research (SBR)…

The goal of this article is to present a series of conceptual, statistical, and practical issues in the modeling of multi-level dyadic data. Distinctions are made between distinguishable and undistinguishable dyads and several types of independent variables modeled at the dyadic level of analysis. Multi-level modeling equations are explained in a…

This paper demonstrates the meaningful application of learning analytics for determining dropout predictors in the context of open and distance learning in a large developing country. The study was conducted at the Directorate of Distance Education at the University of North Bengal, West Bengal, India. This study employed a quantitative research…

Recent reform initiatives, such as the Title I School Improvement Grants and Race to the Top, recommended a principal change to jump-start school turnaround. Yet, few educational researchers have examined principal change as way to improve schools in a state of systematic reform; furthermore, no large-scale quantitative study has determined the…

Objective: In many countries, physical education (PE) is taught by classroom teachers (generalists) during the formative years of elementary school. The purpose of this study was to evaluate the physical and psychological outcomes of multi-sports PE taught by qualified PE teachers (specialists) and how they contribute to children's physical and…

The low number of college graduates with science degrees--particularly among underrepresented minorities--is of growing concern. We examine differences across universities in graduating students in different fields. Using student-level data on the University of California system during a period in which racial preferences were in place, we show…

The last two decades have witnessed a vast expansion in the use of education data to improve classroom instruction and raise student achievement. Schools and districts face important challenges in implementing increased data use for instructional improvement. One key challenge is the need for teachers and administrators to have "data…

Progress in International Reading Literacy Study (PIRLS) provides international comparative data about students' reading achievement after four years of primary schooling, while also measuring trends over time, monitoring curricular implementation, and identifying promising instructional practices. Conducted on a regular 5-year cycle, PIRLS has…

In education randomized control trials (RCTs), the misreporting of student outcome data could lead to biased estimates of average treatment effects (ATEs) and their standard errors. This article discusses a statistical model that adjusts for misreported binary outcomes for two-level, school-based RCTs, where it is assumed that misreporting could…

Income is regarded as one of the clearest indicators of socioeconomic status and wellbeing in the developed world and is highly correlated with a wide range of outcomes. Despite its importance, there remains an issue as to the best way to collect income as part of surveys. This paper examines differences in how income is collected in a nationally…

Chemistry instructors in teaching laboratories provide expert modeling of techniques and cognitive processes and provide assistance to enrolled students that may be described as scaffolding interaction. Such student support is particularly essential in laboratories taught with an inquiry-based curriculum. In a teaching laboratory with a high…

In this paper, the writer discusses the philosophical underpinnings of the two dominant research methods in social sciences; quantitative and qualitative paradigms. The natures of two paradigms are quite different so this leads many researchers to discuss these issues in a comparative way. This paper tackles the knowledge and understanding of…

A small public school system in the piedmont of North Carolina was the setting for this study. Individual school data, as well as aggregated data from studied schools were analyzed in order to form overall conclusions of perceptions of leadership within the district. Schools were grouped according to the age of the student (elementary K-5,…

This study is relevant to parents, private organizations, and the educational system interested in discovering whether charter school students perform better academically than traditional public elementary school students. The Pennsylvania System of School Assessment data were used to analyze and compare student performance in grades 3-5 from two…