When analyzing treatment effects on test scores, researchers face many choices and competing guidance for scoring tests and modeling results. This study examines the impact of scoring choices through simulation and an empirical application. Results show that estimates from multiple methods applied to the same data will vary because two-step models…

Social scientists seeking to inform policy or public action must carefully consider how to identify effects and express inferences because actions based on invalid inferences will not yield the intended results. Recognizing the complexities and uncertainties of social science, we seek to inform inevitable debates about causal inferences by…

Human one-on-one coaching involves complex multimodal interactions. Successful coaching requires teachers to closely monitor students' cognitive-affective states and provide support of optimal type, timing, and amount. However, most of the existing human tutoring studies focus primarily on verbal interactions and have yet to incorporate the rich…

There has been increasing interest in exploring heterogeneous treatment effects using machine learning (ML) methods such as causal forests, Bayesian additive regression trees, and targeted maximum likelihood estimation. However, there is little work on applying these methods to estimate treatment effects in latent classes defined by…

Assessment for learning (AfL) has become a widespread approach across many educational systems. To date, AfL research has emphasized teachers' knowledge, skills, and practices, with few studies examining students' responses to an AfL pedagogical approach. The purpose of this research was to focus directly on students' perspectives on their use and…

This ex-post-facto quasi-experimental research design was conducted by selecting a convenient sample of approximately 2,000 3rd grade ELLs who took the regular reading and math English STAAR test during the 2014-15 school year in an urban southern Texas school district. This study was conducted using a quantitative research method of data…

This study investigated differences in self-efficacy to teach literacy between two groups of pre-service teachers. The authors hypothesized that pre-service teachers enrolled in one program focusing on fewer grade levels (K-3) and requiring more literacy-focused courses would have higher self-efficacy than pre-service teachers enrolled in another…

Curriculum-based measurement of oral reading (CBM-R) progress monitoring data is used to measure student response to instruction. Federal legislation permits educators to use CBM-R progress monitoring data as a basis for determining the presence of specific learning disabilities. However, decision making frameworks originally developed for CBM-R…

This article presents 3 standardized effect size measures to use when sharing results of an analysis of mediation of treatment effects for cluster-randomized trials. The authors discuss 3 examples of mediation analysis (upper-level mediation, cross-level mediation, and cross-level mediation with a contextual effect) with demonstration of the…

Private tuition refers to tutoring offered outside mainstream teaching. The study sought to establish the difference in prevalence for private tuition among parents, teachers and pupils in public primary schools in Machakos County. The study employed descriptive survey design. The target populations were all teachers, parents and pupils of public…

The purpose of the current study is to investigate the effects of frequency of peer victimization experiences on psychological and academic adjustment during early adolescence, with a focus on testing psychological adjustment as a mediator, as well as differences based on gender and type of victimization. The sample in this short-term longitudinal…

The purpose of this study was to determine teachers' perceptions of the effectiveness of the professional development that they received to implement the Charlotte Danielson Framework for Teaching Model in South Dakota. The population for this study was K-12 teachers from 12 pilot schools selected by the Department of Education (DOE) in South…

The present study enlightens the impact of Learner- Oriented-Virtual Learning in enriching knowledge in Environmental Education at primary level.To achieve the expected competency in Biodiversity, various approaches were adopted in the class room transaction which were not fruitful. Hence the researcher practiced the Learner-Oriented-Virtual…

Defining causal effects as comparisons between marginal population means, this article introduces marginal mean weighting through stratification (MMW-S) to adjust for selection bias in multilevel educational data. The article formally shows the inherent connections among the MMW-S method, propensity score stratification, and…

This paper summarizes results from a math intervention implemented in a high-poverty urban community. Over 7,300 students from kindergarten to 4th grade in 1 low-socioeconomic-status school district participated in the study. Students from 13 different schools (36 different classroom) participated in the treatment. Comparisons were made to…