Purpose: The lack of a definite standard for determining the sample size in qualitative research leaves the research process to the initiative of the researcher, and this situation overshadows the scientificity of the research. The primary purpose of this research is to propose a model by questioning the problem of determining the sample size,…

Missing data are exceedingly common across a variety of disciplines, such as educational, social, and behavioral science areas. Missing not at random (MNAR) mechanism where missingness is related to unobserved data is widespread in real data and has detrimental consequence. However, the existing MNAR-based methods have potential problems such as…

This investigation examines the efficacy of multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) over fixed-effects models when performing intersectional studies. The research questions are as follows: (1) What are typical strata representation rates and outcomes on physics research-based assessments? (2) To what…

The unstructured multiple-attempt (MA) item response data in virtual learning environments (VLEs) are often from student-selected assessment data sets, which include missing data, single-attempt responses, multiple-attempt responses, and unknown growth ability across attempts, leading to a complex and complicated scenario for using this kind of…

In education research, small samples are common because of financial limitations, logistical challenges, or exploratory studies. With small samples, statistical principles on which researchers rely do not hold, leading to trust issues with model estimates and possible replication issues when scaling up. Researchers are generally aware of such…

Utilizing planned missing data (PMD) designs (ex. 3-form surveys) enables researchers to ask participants fewer questions during the data collection process. An important question, however, is just how few participants are needed to effectively employ planned missing data designs in research studies. This article explores this question by using…

Per definition, CSCL research deals with the data of individuals nested in groups, and the influence of a specific learning setting on the collaborative process of learning. Most well-established statistical methods are not able to analyze such nested data adequately. This article describes the problems which arise when standard methods are…

Data from 86 Early Childhood Education (ECE) projects in Oregon were analyzed using methods prescribed by the Value Added model for ECE evaluation. The extent to which appropriate model implementation procedures were followed is unknown. Thus, the results represent an empirical account of the model's estimates of project impact, rather than a…

Presents a critique of published learner control studies that highlights problems with definitions of learner control, theoretical foundations, treatment duration, outcome measures, sample sizes, and conclusions. Recommendations are made concerning the exploration of alternative models for research focused on learner control and other aspects of…

Scientific research that is conducted without the structure of a supporting scientific paradigm should be labeled pseudoscience in that such research is deceptive or false science. It is argued that much of the research in educational technology is pseudoscience, with the focus on learner control research. Learner control is the design feature of…

Reviewing and conducting research on summer residential program models for gifted and talented students will illuminate the academic, social, and emotional difficulties they face and reveal which practices are effective in addressing these issues. One program model, the Governor's School, warrants particular attention because of its mission to…

An important purpose of the Schools and Staffing Survey of 1987-88 and the Teacher Followup Survey was to provide data useful for analyzing teacher demand and supply. This report summarizes the important issues related to teacher supply and demand; presents descriptive statistics on supply and demand; and develops and tests multivariate models to…