Currently the design standards for single case experimental designs (SCEDs) are based on validity considerations as prescribed by the What Works Clearinghouse. However, there is a need for design considerations such as power based on statistical analyses. We compute and derive power using computations for (AB)[superscript k] designs with multiple…

In this digital ITEMS module, Dr. Jeffrey Harring and Ms. Tessa Johnson introduce the linear mixed effects (LME) model as a flexible general framework for simultaneously modeling continuous repeated measures data with a scientifically defensible function that adequately summarizes both individual change as well as the average response. The module…

In mixed methods approaches, statistical models are used to identify "nested" cases for intensive, small-n investigation for a range of purposes, including notably the examination of causal mechanisms. This article shows that under a commonsense interpretation of causal effects, large-n models allow no reliable conclusions about effect…

This paper proposes a new application of Stochastic Frontier Analysis (SFA) for estimating the student performance gap and how this can be used to assess changes of teaching quality at the individual unit-of-study level (module-level). Although there have been other examples in the literature that assess 'efficiency' in student outcomes, this is…

Single-case experimental designs (SCEDs) are a useful tool for evaluating the effects of interventions at an individual level and can play an important role in the development and validation of evidence-based practices. Historically, researchers relied on visual analysis of SCED data and eschewed statistical approaches. Although researchers…

Many statistical methods (estimators) are available for estimating the consensus value (or average effect) and heterogeneity variance in interlaboratory studies or meta-analyses. These estimators are all valid because they are developed from or supported by certain statistical principles. However, no estimator can be perfect and must have error or…

This study investigated the power of two-level hierarchical linear modeling (HLM) to explain variability in intervention effectiveness between participants in context of single-case experimental design (SCED) research. HLM is a flexible technique that allows the inclusion of participant characteristics (e.g., age, gender, and disability types) as…

Purpose: This article uses an illustrative case example to discuss a means of producing a holistic profile of Internet use for individuals with aphasia. Methods: The authors used the International Classification of Functioning, Disability, and Health as a framework to select novel and existing assessments to explore the Internet use and skills of…

Self-regulation is a well-known construct in educational and psychological research, as it is often related to academic success and well-being. Drawing from criticisms of a lack of context applied to the investigation of this construct, the current study examined the multi-dimensional role of social support (teachers, parents, peers) and coping…

Being bullied at school is strongly related to psychological health complaints at the same time point. Studies have also found long-term associations, but few have combined a prospective design with children's own reports on bullying, and conducted gender-specific analyses. The present study assesses health consequences in young adulthood of…

This study aimed to explore commonalities among discrimination, stereotyping, and peer-related social experiences of children of immigrants, and to see if these experiences might relate to children's school-based well-being. Two age-based cohorts of 294 children and their immigrant parents from Portugal, the Dominican Republic, and Cambodia were…

This case study contributes to the higher education curriculum development literature by showing how a faculty-led short-term study abroad experience can become the catalyst for student research and offer students an international perspective. The authors analyze students' reflections and provide data collected over the years of taking…

In this study we examine the determinants of and the relationship among economic knowledge, epistemological beliefs, and extrinsic and intrinsic motivation over the course of undergraduate studies in a sample of students of business and economics at a university in Germany. We found economic knowledge increased over the course of studies,…

To fully appreciate genetics, one must understand the link between genotype (DNA sequence) and phenotype (observable characteristics). Advances in high-throughput genomic sequencing technologies and applications, so-called "-omics," have made genetic sequencing readily available across fields in biology from applications in…

This case study focuses on issues and dilemmas I faced when collecting data on a social networking site that enabled sociability, communication, and collaboration among teachers. To understand teacher online participation, I used an eclectic mixed-methods design with three phases to collect qualitative and quantitative data. This design allowed me…