Most disability research is conducted in high-income countries, despite much of the world's population living in low- and middle-income countries. Given the flexible nature of qualitative research, studies using this methodology have the potential to provide important insights into how disability is perceived across the globe. The aim of the…

This toolkit is designed to assist states as they plan for and carry out their efforts to collect, report, analyze, and use high-quality parent and family involvement data. It defines key concepts; offers guidance on ways to improve the quality of the collection, analysis, and use of parent and family involvement data; and provides resources and…

Students with disabilities experience poorer post-school outcomes compared with their peers without disabilities. Existing experimental literature on "what works" for improving these outcomes is rare; however, a rapidly growing body of research investigates correlational relationships between experiences in school and post-school…

There has been little data collected on how much testing actually goes on in America's schools and how the results are used. So in the Spring of 2014, the Council staff developed and launched a survey of assessment practices. This report presents the findings from that survey and subsequent Council analysis and review of the data. It also offers…

This manual provides guidance and documentation for users of the longitudinal kindergarten-fourth grade (K-4) public-use data file of the Early Childhood Longitudinal Study, Kindergarten Class of 2010-11 (ECLS-K:2011), which includes the first release of the public version of the third-grade data. This manual mainly provides information specific…

Guidelines for the implementation of qualitative methods in special education research are offered, addressing rigor, sample selection, data collection, and data management/analysis. Five possible pitfalls are identified, including the quantitative-qualitative methods debate, premature data collection, the tendency to use a linear procedural…

This paper recommends use of analysis of covariance in early intervention research to account for pretreatment group differences and increase statistical power. Diagrams show how analysis of covariance manipulates data under various conditions. Simulated data analysis demonstrates the process of selecting covariates and shows the results with and…

Five criteria are proposed for evaluating performance in research studies: the directness of sampling, the responsiveness of the target, the reliability of the observers, the frequent assessment of the target during the intervention period, and the critical nature of the target. A case study illustrates effectiveness of the criteria. (Author/CR)

The paper initially describes the sources of uncertainty in National Assessment of Educational Progress (NAEP) data and standard errors. As NAEP sample sizes have increased, greater precision has been attained by the program. For this reason, exclusion effects are increasingly important. Two scenarios of revised NAEP results are presented (for New…

Finding ways to improve the design of large-scale tests is a timely issue. Recent changes in Federal legislation (including the No Child Left Behind Act of 2001) have placed greater emphasis on accountability via large-scale tests. Students who have previously been exempted from large-scale assessments, including students with disabilities and…

This handbook provides survey questionnaires and procedures to guide users in the conduct of follow-up studies to assess the transition success of special education and non-special education students. It focuses on collecting three types of data (employment activities, quality of life, and goal achievement) for special education students and…