This special issue's editors invited discussion of three broad questions. Slightly rephrased, they are: How well do self-report data represent theoretical constructs? How should analyses of data be conditioned by properties of self report data? In what ways do interpretations of self-report data shape interpretations of a study's findings? To…

Although it is frequently claimed that learning analytics can improve self-evaluation and self-regulated learning by students, most learning analytics tools appear to have been developed as a response to existing data rather than with a clear pedagogical model. As a result there is little evidence of impact on learning. Even fewer learning…

The move to focus on Pacific indigenous research methodologies and methods is a complex yet ongoing experience for researchers of Pacific heritage. The relational positionalities of Pacific researchers allow a move away from a dual or binary perspective of one's research responsibilities to a more fluid understanding of what it means to do…

The purpose of this article is to advocate for an expansion of third-space ideology to the research conducted in clinical teacher preparation programs including research designs and methods of data collection. Clinical teacher preparation has been advocated since the 1980s and is now being systematically realized in the early 21st century. Thus,…

Analyzing and interpreting data is essential to the practice of scientists and is also an essential science and engineering practice for science teaching and learning. Although working with data has benefits for student learning, it is also challenging, particularly with respect to aspects of work with data that are not yet very common in schools,…

Data analytics in higher education provides unique opportunities to examine, understand, and model pedagogical processes. Consequently, the methodologies and processes underpinning data analytics in higher education have led to distinguishing, highly correlative terms such as Learning Analytics (LA), Academic Analytics (AA), and Educational Data…

This study investigates the correlation between three data gathering methods for uncovering differences in secondary school students' text-learning strategy use. In total, 56 secondary school students' text-learning strategies were assessed with (a) a task-specific self-report inventory, (b) think-alouds protocols, and (c) the trace methodology.…

Comprehensive and timely data on vocational education and training (VET) is important for increasing the efficiency and transparency of Australia's VET sector, in order to improve understanding of Australia's VET market and management of the national VET system. The National VET Data Policy (the Policy) brings together requirements for collecting…

Technological advances have led to an abundance of widely available data on every aspect of life today. Psychologists today have more information than ever before on human cognition, emotion, attitudes, and behavior. "Big Data in Psychological Research" addresses the opportunities and challenges that this data presents to psychological…

This study aims to design and develop a Cashless Payment System with Automatic Identification and Data Collection (AIDC) technology in an educational institution in the Province of Nueva Ecija, Philippines to understand the processes and activities undertaken to develop the project. It utilizes a descriptive and developmental method of research…

This paper responds to the need to support complexities of literacy instruction by identifying and illustrating teaching strategies used by a practicing special education teacher rooted in a multi-theoretical approach to teaching literacy. We argue the importance of teaching from multiple theoretical standpoints and utilizing student-centered,…

Likert-type item is the most popular response format for collecting data in social, educational, and psychological studies through scales or questionnaires. However, there is no consensus on whether parametric or non-parametric tests should be preferred when analyzing Likert-type data. This study examined the statistical power of parametric and…

Background: Speech-language pathologists often multitask in order to be efficient with their commonly large caseloads. In stuttering assessment, multitasking often involves collecting multiple measures simultaneously. Aims: The present study sought to determine reliability when collecting multiple measures simultaneously versus individually.…

Single-parent families represent a significant proportion of all UK families, but literature suggests that they face challenges in accessing, participating in, and completing Higher Education (HE). This article draws on data obtained from three months of mixed-methods research in 2021 with single-parent students to explore the meanings of being a…

This action research study investigates the role of Data-Based Decision-Making (DBDM) in increasing academic outcomes within a charter school network. During Cycle 1, interviews and focus groups with teachers, interventionists, and school deans shed light on critical themes, including leadership, data collection, analytic capacity, and a culture…