Program evaluation is an essential practice for providers of behavior analytic services, as it helps providers understand the extent to which they are achieving their intended mission to the community they serve. A proposed method for conducting such evaluations, is through the use of a consecutive case series design, for which cases are…

Program evaluation is important for assessing the implementation and outcomes of local, state, and federal programs. The Program Evaluation Toolkit provides tools and resources to support individuals responsible for evaluating and monitoring local, state, or federal programs. The toolkit comprises eight modules that cover critical steps in program…

Schools are increasingly turning towards restorative practices as a pathway to building schools with stronger relationships, justice, and equity. While effectiveness studies are increasing, too little attention is focused on evaluating implementation. This resources is for audiences who evaluate implementation of whole school restorative practices…

A model that maps the requisite skills, or knowledge components, to the contents of an online course is necessary to implement many adaptive learning technologies. However, developing a skill model and tagging courseware contents with individual skills can be expensive and error prone. We propose a technology to automatically identify latent…

Due to repeated observations of an outcome behavior in N-of-1 or single-case design (SCD) intervention studies, the occurrence of missing scores is inevitable in such studies. Approximately 21% of SCD articles published in five reputable journals between 2015 and 2019 exhibited evidence of missing scores. Missing rates varied by designs, with the…

Governments and educational authorities around the world are emphasizing performance evaluation of educational systems. Opinion Mining (OM) has gained acceptance among experts in various regions, including the preparation space. The proposed model involves Two modules: the data preprocessing module and the opinion mining module. The main objective…

The purpose of this study was to further investigate the relationship between the instruments identified by Kose and developed by Maras et al. (2013), Astramovich (2016), and Dimmitt et al. (2007) to provide validation to the proposed taxonomy of program evaluation competencies for school counselors. Theoretically, these instruments should be…

Purpose: The purposes of this paper are to provide a description of AI and to document and compare two applications of AI, one in program evaluation and another in an applied research study. Design/methodology/approach: Focus groups, interviews and observations were used to gather rich qualitative data which was used to detail Appreciative…

The "Integrated Approaches to Supporting Child Development and Improving Family Economic Security" project was conducted by Mathematica Policy Research and Northwestern University for the Office of Planning, Research and Evaluation (OPRE), in the Administration for Children and Families (ACF) at the U.S. Department of Health and Human…

A customized guide about liberatory design thinking processes that have been tested within college settings to support changes that enhance equity in policies and practices within institutions. This research is based on case studies of several institutions, including focus group interviews with the campus design teams and an analysis of artifacts.…

Project schedules are logic models that focus on the timing of program activities. Value derives from the fact that schedule changes are not random. Why they occur, and how long they last, can reveal information that would not be easily revealed with other approaches to evaluation. Also, using project schedules as logic models forges a strong link…

The growth in the availability of longitudinal data--data collected over time on the same individuals--as part of program evaluations has opened up exciting possibilities for evaluators to ask more nuanced questions about how individuals' outcomes change over time. However, in order to leverage longitudinal data to glean these important insights,…

The opportunity to take college courses in high school (dual enrollment) is becoming increasingly prevalent, but access is not equitably distributed. Certain populations, such as economically disadvantaged students and students who are members of racial and ethnic groups historically underrepresented in college, are less likely to take dual…

The use of an effective supervision mechanism is crucial between a student and supervisor. The essential knowledge shared and transferred between these two parties must be observed and understood very well in order to ensure that students are produced at good level of quality for future professional knowledge workers. The aim of this study was to…

As the use of educational technology becomes more ubiquitous, an enormous amount of learning process data is being produced. Educational data mining seeks to analyze and model these data, with the ultimate goal of improving learning outcomes. The most firmly grounded and rigorous evaluation of an educational data mining discovery is whether it…