The article focuses on estimating effects in nonrandomized studies with two outcome measurement occasions and one predictor variable. Given such a design, the analysis approach can be to include the measurement at the previous time point as a predictor in the regression model (ANCOVA), or to predict the change-score of the outcome variable…

Purpose: A literature research conducted in education and agricultural education journals published during a period of 10 years revealed that 98% of the studies used parametric analyses. In general, model assumptions were not tested, and statistical criteria were not followed to apply the parametric approach. The objective of this paper is to…

Variance heterogeneity is a common feature of educational data when treatment differences expressed through means are present, and often reflects a treatment by subject interaction with respect to an outcome variable. Identifying variables that account for this interaction can enhance understanding of whom a treatment does and does not benefit in…

Although scholars have acknowledged the role of collaborative relationships of teachers in improving the quality of instruction, teacher collective efficacy continues to be a neglected construct in educational research. The purpose of this paper is to explore the relations between transformational school leadership, teacher self-efficacy and…

The purpose of this article is to describe effect coding as an alternative quantitative practice for analyzing and interpreting categorical, race-based independent variables in higher education research. Unlike indicator (dummy) codes that imply that one group will be a reference group, effect codes use average responses as a means for…

While stress has always been present in the teaching profession, recent trends such as standardized testing and school and teacher accountability may be making teachers' work more stressful. Teacher satisfaction research has emerged as a popular lens through which to understand how teachers experience their work. This scoping review sought to…

In this study, international research collaboration (IRC) and international research orientation (IRO) have been studied at the micro-level of individual academics from the university sector (N = 8,466, 11 European systems). Both were studied cross-nationally, cross-disciplinarily, and cross-generationally. This study differs from most existing…

The statistics used in education research are based on central trends such as the mean or standard deviation, discarding outliers. This paper adopts another viewpoint that has emerged in statistics, called extreme value theory (EVT). EVT claims that the bulk of normal distribution is comprised mainly of uninteresting variations while the most…

Selection bias is a persistent, and often hidden, problem in educational research. It is the primary obstacle standing in between increasingly available large education datasets and the ability to make valid causal inferences to inform policymaking, research, and practice (Stuart, 2010). This article provides an accessible discussion on the…

The purpose of this article is to clarify the discrepancy in the use of "queer" as a sexual identity classification in education survey research. This study extends the work completed by Dugan and Yurman (2011), who empirically demonstrated problems with treating LGB students as a homogenous population through collapsing all respondents…

Defining rural is a critical task for rural education researchers, as it has implications for all phases of a study. However, it is also a difficult task due to the many ways in which rural can be theoretically, conceptually, and empirically operationalized. This article provides researchers with specific guidance on important theoretical and…

Background: Much of science, technology, engineering, mathematics, and medical (STEMM) education policy and research centers around developing the upper levels of the STEMM workforce sector. However, there are many positions in this workforce, "middle-skill careers," that are largely responsible for executing the innovations and are…

Despite a surge of empirical work on student participation in online learning environments, the causal links between the learning-related factors and processes with the desired learning outcomes remain unexplored. This study presents a systematic literature review of approaches to model learning in Massive Open Online Courses offering an analysis…

Measures of variability are successfully used in predictive modeling in research areas outside of education. This study examined how standard deviations can be used to address research questions not easily addressed using traditional measures such as group means based on index variables. Student survey data were obtained from the Organisation for…

Problem Statement: Acquisition of research qualifications are one of the most demanded learning outcomes of education faculties. There is great emphasis on building a research identity by developing the skills of students in the department of education faculties. However, very few surveys analyze the current situation of university students in the…