Although educational research and evaluation generally occur in multilevel settings, many analyses ignore cluster effects. Neglecting the nature of data from educational settings, especially in non-randomized experiments, can result in biased estimates with long-term consequences. Our manuscript improves the availability and understanding of…

Knowledge about different health-related attitudes, beliefs, and risks is of significant interest to scholars in different Social Science disciplines. Usually knowledge is collected in a form of multiple variables and then constructed as a composite indicator. The question any researcher working with knowledge-related variables faces is: what is…

The What Works Clearinghouse (WWC) maintains design standards to identify rigorous, internally valid education research. As education researchers advance new methodologies, the WWC must revise its standards to include an assessment of the new designs. Recently, the WWC has revised standards for two emerging study designs: regression discontinuity…

Net Promoter System (NPS) is well known as an evaluation measure of the growth engine of big companies in the business area. The ultimate goal of my research is to build an action rules and meta-actions based recommender system for improving NPS scores of 34 companies (clients) dealing with similar businesses in the US and Canada. With the given…

STEM (Science, Technology, Engineering and Mathematics) education has been achieving growing international attention. As the world economy is becoming more diversified and dependent on innovation, Science, Technology, Engineering, and Math (STEM) skills and expertise are progressively more needed for competition and development. Egyptian students…

Abstract Preschoolers' cognitive abilities were assessed each year as part of the Head Start Program requirements. The Head Start PK-4 Center evaluated preschoolers' cognition by administering the Learning Accomplishment Profile-Diagnostic (LAP-D), as a pretest and posttest measure. The LAP-D study used archival data collected from the 2009-2010…

This study examines how GRE scores can be used to better understand Education doctoral candidates' methodology choices for the dissertation as well as their persistence behaviors. Candidates' of one online doctoral education program were examined. Results of a MANOVA suggested that there is no difference in GRE scores based on doctoral candidates'…

Using state achievement data that are openly accessible, this paper demonstrates the application of hierarchical linear modeling within the context of career technical education research. Three prominent approaches to analyzing clustered data (i.e., modeling aggregated data, modeling disaggregated data, modeling hierarchical data) are discussed…

This paper provides practical guidance for researchers who are designing and analyzing studies that randomize schools--which comprise three levels of clustering (students in classrooms in schools)--to measure intervention effects on student academic outcomes when information on the middle level (classrooms) is missing. This situation arises…

This report examines theoretical and empirical issues related to the statistical power of impact estimates under clustered regression discontinuity (RD) designs. The theory is grounded in the causal inference and HLM modeling literature, and the empirical work focuses on commonly-used designs in education research to test intervention effects on…

The primary study objective was to develop a statewide system that made use of information about the pre-kindergarten program in combination with kindergarten reading and social outcome measures in order to inform parents about the ability of early childhood programs to prepare children for formal schooling. In order to carry out this objective,…

Written by a social worker for social work students, this is a nuts and bolts guide to statistics that presents complex calculations and concepts in clear, easy-to-understand language. It includes numerous examples, data sets, and issues that students will encounter in social work practice. The first section introduces basic concepts and terms to…

Research that has traditionally supported program accreditation has tended to be primarily descriptive in nature, focusing on outcomes such as the satisfaction of graduates and passing rates on licensure exams. The study reported here illustrates how research employing multivariate methodologies can go beyond such descriptive reporting to address…