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Yavuz Akbulut; Abdullah Saykili; Aylin Öztürk; Aras Bozkurt – International Review of Research in Open and Distributed Learning, 2023
Online surveys are widely used in social science research as well as in empirical studies of open, online, and distance education. However, students' responses are likely to be at odds with their actual behavior. In this context, we examined the discrepancies between self-reported use and actual use (i.e., learning analytics data) among 20,646…
Descriptors: Measurement Techniques, Electronic Learning, Distance Education, Open Education
Philip E. Kearney; Niamh Curran; Frank J. Nugent – Journal of Motor Learning and Development, 2025
Manipulation checks are an essential component of quality experimental design in motor learning. Guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses framework, this methodological systematic review examined the utilization of manipulation checks in focus of attention research. Seventy-eight protocols from four…
Descriptors: Attention Control, Attention Span, Motor Development, Psychomotor Skills
Fryer, Luke K.; Nakao, Kaori – Frontline Learning Research, 2020
Self-report is a fundamental research tool for the social sciences. Despite quantitative surveys being the workhorses of the self-report stable, few researchers question their format--often blindly using some form of Labelled Categorical Scale (Likert-type). This study presents a brief review of the current literature examining the efficacy of…
Descriptors: Measurement Techniques, Research Methodology, Surveys, Online Surveys
Center for IDEA Early Childhood Data Systems (DaSy), 2019
The long-term goal of the State Systemic Improvement Plan (SSIP) and other federal and state early intervention and early childhood education initiatives is improved child and family outcomes. States play a critical role in supporting practitioners in the use of evidence-based practices to improve child and family outcomes. When practitioners…
Descriptors: Evidence Based Practice, Early Intervention, Early Childhood Education, Data Collection
Murawska, Jaclyn M.; Walker, David A. – Mid-Western Educational Researcher, 2017
In this commentary, we offer a set of visual tools that can assist education researchers, especially those in the field of mathematics, in developing cohesiveness from a mixed methods perspective, commencing at a study's research questions and literature review, through its data collection and analysis, and finally to its results. This expounds…
Descriptors: Mixed Methods Research, Research Methodology, Visual Aids, Research Tools
Harth, H.; Hemker, B.T. – Research Papers in Education, 2013
The assessment of vocational workplace-based qualifications in England relies on human assessors (raters). These assessors observe naturally occurring, non-standardised evidence, unique to each learner and evaluate the learner as competent/not yet competent against content standards. Whilst these are considered difficult to measure, this study…
Descriptors: Certification, Workplace Learning, Vocational Education, Test Reliability
Köksal, Mustafa Serdar; Ertekin, Pelin; Çolakoglu, Özgür Murat – Educational Sciences: Theory and Practice, 2014
The purpose of this study is to investigate association of data collectors' differences with the differences in reliability and validity of scores regarding affective variables (motivation toward science learning and science attitude) that are measured by Likert-type scales. Four researchers trained in data collection and seven science teachers…
Descriptors: Data Collection, Reliability, Construct Validity, Likert Scales
Brookings Institution, 2017
The Measuring Early Learning Quality and Outcomes (MELQO) initiative began in 2014 in anticipation of a new global emphasis on early childhood development (ECD). Led by UNESCO, the World Bank, the Center for Universal Education at the Brookings Institution, and UNICEF, the initiative aims to promote feasible, accurate and useful measurement of…
Descriptors: Early Childhood Education, Preschool Education, Child Development, Educational Quality
Porayska-Pomsta, Kaska; Mavrikis, Manolis; D'Mello, Sidney; Conati, Cristina; Baker, Ryan S. J. d. – International Journal of Artificial Intelligence in Education, 2013
Research on the relationship between affect and cognition in Artificial Intelligence in Education (AIEd) brings an important dimension to our understanding of how learning occurs and how it can be facilitated. Emotions are crucial to learning, but their nature, the conditions under which they occur, and their exact impact on learning for different…
Descriptors: Intelligent Tutoring Systems, Psychological Patterns, Data Collection, Affective Measures
Boller, Kimberly; Kisker, Ellen Eliason – Regional Educational Laboratory, 2014
This guide is designed to help researchers make sure that their research reports include enough information about study measures so that readers can assess the quality of the study's methods and results. The guide also provides examples of write-ups about measures and suggests resources for learning more about these topics. The guide assumes…
Descriptors: Research Reports, Research Methodology, Educational Research, Check Lists
Casey, Michelle M.; Prasad, Shailendra; Klingner, Jill; Moscovice, Ira – Journal of Rural Health, 2012
Context: Quality measures focused on outpatient settings are of increasing interest to policy makers, but little research has been conducted on hospital outpatient quality measures, especially in rural settings. Purpose: To evaluate the relevance of Centers for Medicare and Medicaid Services' (CMS) outpatient quality measures for rural hospitals,…
Descriptors: Expertise, Hospitals, Measurement Techniques, Surgery
Marley, Scott C. – Journal for Specialists in Group Work, 2010
Recent articles in "The Journal for Specialists in Group Work" have discussed credibility indicators for quantitative and qualitative studies (Asner-Self, 2009; Rubel & Villalba, 2009). This article extends upon these contributions by discussing measurement issues that are relevant to producers and consumers of quantitative group research. This…
Descriptors: Credibility, Psychological Evaluation, Validity, Data Collection
Caronongan, Pia; Kirby, Gretchen; Malone, Lizabeth M.; Boller, Kimberly – Administration for Children & Families, 2011
Quality measurement serves as a foundation for child care Quality Rating and Improvement Systems (QRIS). Understanding the variation that exists in quality measurement, the different contexts in which states make decisions, and the factors that play into their decisions can help administrators identify where their state may fall along the spectrum…
Descriptors: Child Care, Early Childhood Education, Rating Scales, Measurement Techniques
Crissey, Sarah R.; Bauman, Kurt J. – US Census Bureau, 2012
The Census Bureau has historically grouped high school diploma holders along with those who hold "high school equivalent" credentials. Among these is the credential earned through successfully passing the General Education Development (GED) test. Interest in identifying those with GEDs has recently increased, in part from debate within…
Descriptors: Credentials, High Schools, Educational Attainment, Census Figures
Nadeau, Luc; Richard, Jean-Francois; Godbout, Paul – Physical Education and Sport Pedagogy, 2008
Background: Coaches and physical educators must obtain valid data relating to the contribution of each of their players in order to assess their level of performance in team sport competition. This information must also be collected and used in real game situations to be more valid. Developed initially for a physical education class context, the…
Descriptors: Physical Education, Team Sports, Observation, Performance Based Assessment