We develop a structural after measurement (SAM) method for structural equation models (SEMs) that accommodates missing data. The results show that the proposed SAM missing data estimator outperforms conventional full information (FI) estimators in terms of convergence, bias, and root-mean-square-error in small-to-moderate samples or large samples…

This study explored the challenges faced by doctoral students in preparing and publishing research in reputable international journals. A descriptive qualitative approach was employed to gather in-depth information from four doctoral students in three higher education institutions in Sumatra, Indonesia. The participants were recruited through…

Randomised trials are often funded by commercial companies and methodological studies support a widely held suspicion that commercial funding may influence trial results and conclusions. However, these studies often have a risk of confounding and reporting bias. The risk of confounding is markedly reduced in meta-epidemiological studies that…

This article focuses on an investigation of English as a Foreign Language (EFL) teacher (de)motivation in Spain which underwent a methodological transformation from mixed methods to a qualitative approach. Unexpected statistical results from the questionnaire in the piloting phase led to the creation of interview prompts, a dynamic data collection…

Effective teaching is an important research topic worldwide. This review aims to analyze effective teaching literature in China with respect to general characteristics and conceptional dimensions. Two types of effective teaching literature, empirical studies written in Chinese and written in English, are selected for this review. Stronge's…

Experimental studies have a considerable impact on the educational policies and practices of many countries. In Turkey, policymakers are planning to initiate a STEM education reform in K-12 schools based on experimental studies. However, the methodological flaws in these studies may lead to biased outcomes and may mislead the STEM education…

Traditional observed variable multilevel models for evaluating indirect effects are limited by their inability to quantify measurement and sampling error. They are further restricted by being unable to fully separate within- and between-level effects without bias. Doubly latent models reduce these biases by decomposing the observed within-level…

Comparison studies conducted to determine which instructional interventions are most efficient for teaching discrete behaviors to individuals with disabilities are potentially valuable, although some threats to internal validity may be more likely in these studies. Studies included in this review typically met common internal validity standards,…

This dissertation developed a new learner corpus of Japanese and introduced an error and linguistic annotation scheme specifically designed for Japanese particles. The corpus contains texts written by learners who are in the first year to fourth year university level Japanese courses. The texts in the corpus were tagged with part-of-speech and…

In the first part of the dialogue between theories, which gave rise to a paper in this journal, we discussed the role played by normativity in didactics. In this work, with the aim of taking a step forward in this dialogue, we state explicitly some of the postulates of the anthropological theory of the didactic. They shape the object of study, the…

In this paper we argue that the choice of research methods reflects the theoretical framework even before these methods have been put to use in case studies. We understand the term 'case study' broadly in this paper and argue that neither thinking of them as cherry-picked cases to support preconceived ideas about mathematical practices nor…

A substantial number of randomized trials of educational interventions that have been conducted over the past two decades have produced null results, with either no impact or an unreliable estimate of impact on student achievement or other outcomes of interest. The investment of time and money spent implementing such trials warrants more useful…

While social programs are often assessed using short-term impact studies, longitudinal designs allow evaluators to capture change over time, identify longer-term outcomes, adapt instruments, and better understand participants in transition. A mixed methods design can be critical in understanding these dynamics; yet there is a lack of literature…

Computer-based administration of large-scale assessments makes it possible to collect a rich set of information on test takers, through analysis of the log files recording interactions between the computer interface and the server. This report examines timing and engagement indicators from the Survey of Adult Skills, a product of the Programme for…

The present study explores how the visualization of an actor network enables researchers to understand mediating processes better by investigating relationships and effects among elements and entities other than human-actor accounts. In particular, the study presents how visualization may facilitate an understanding of the dynamics and structures…