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Bundi, Pirmin; Pattyn, Valérie – American Journal of Evaluation, 2023
Evaluations are considered of key importance for a well-functioning democracy. Against this background, it is vital to assess whether and how evaluation models approach the role of citizens. This paper is the first in presenting a review of citizen involvement in the main evaluation models which are commonly distinguished in the field. We present…
Descriptors: Evaluation Methods, Models, Democracy, Citizen Participation
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Torelli, Jessica N.; Lloyd, Blair P.; Pollack, Marney S. – American Journal on Intellectual and Developmental Disabilities, 2022
To evaluate effects of psychotropic medication for children with disabilities, direct assessments may offer a valuable supplement to caregiver reports. Relative to indirect assessment, direct measures of behavior can increase objectivity and sensitivity, and some have potential to isolate distinct behavioral and learning processes. We conducted a…
Descriptors: Drug Therapy, Children, Disabilities, Evaluation Methods
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Naiman, Aharon – International Journal for Technology in Mathematics Education, 2022
We explore the various Mathematica functions for performing Gaussian elimination, specifically when the linear system contains input parameters. On the one hand, we want the solution, perhaps heuristically found, to be in terms of the input parameters, and as general as possible. On the other hand, we must adhere to all necessary conditions and…
Descriptors: Mathematics, Evaluation Methods, Heuristics, Mathematics Instruction
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Link, Laura J.; Guskey, Thomas R. – Theory Into Practice, 2022
This analysis explores the essential criteria necessary to define standards-based grading (SBG) and to judge its effectiveness. Findings reveal that although many schools today are initiating SBG reforms, there's little consensus on what "standards-based grading" actually means. As a result, SBG implementation is widely inconsistent due…
Descriptors: Academic Standards, Grading, Evaluation Methods, Instructional Effectiveness
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Rodriguez, Sophia; Acree, Jeremy – American Journal of Evaluation, 2021
This article problematizes methodological practices, specifically the use of surveys as tools of measurement in evaluation with migrant youth. Drawing from Foucault's "Genealogy of Ethics," we investigate the knowledge created about particular minoritized groups through the author's current evaluation, the power relations involved, and…
Descriptors: Evaluation Methods, Surveys, Migrants, Youth
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Jamie Shaw – Research Evaluation, 2024
There has been a recent increase in attention toward the proper targets of evaluation in science funding policy. Specifically, some claim that we should 'fund people, not projects' to allow for increased autonomy for researchers. Critics argue that this movement unduly opens room for biases against several marginalized groups of scientists. In…
Descriptors: Scientific Research, Grants, Financial Support, Researchers
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Yuan Tian; Xi Yang; Suhail A. Doi; Luis Furuya-Kanamori; Lifeng Lin; Joey S. W. Kwong; Chang Xu – Research Synthesis Methods, 2024
RobotReviewer is a tool for automatically assessing the risk of bias in randomized controlled trials, but there is limited evidence of its reliability. We evaluated the agreement between RobotReviewer and humans regarding the risk of bias assessment based on 1955 randomized controlled trials. The risk of bias in these trials was assessed via two…
Descriptors: Risk, Randomized Controlled Trials, Classification, Robotics
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Miriam Hattle; Joie Ensor; Katie Scandrett; Marienke van Middelkoop; Danielle A. van der Windt; Melanie A. Holden; Richard D. Riley – Research Synthesis Methods, 2024
Individual participant data (IPD) meta-analysis projects obtain, harmonise, and synthesise original data from multiple studies. Many IPD meta-analyses of randomised trials are initiated to identify treatment effect modifiers at the individual level, thus requiring statistical modelling of interactions between treatment effect and participant-level…
Descriptors: Meta Analysis, Randomized Controlled Trials, Outcomes of Treatment, Evaluation Methods
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Berry O'Donovan; Ian Sadler; Nicola Reimann – Studies in Higher Education, 2024
A key responsibility of higher education providers is the accurate certification of the knowledge and skills attained by their students. However, despite an intense focus on developing relevant quality assurance regulations, academic standards in higher education have remained resistant to explication and consistent application. In this paper, we…
Descriptors: Academic Standards, Higher Education, Codification, Barriers
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Ling Luo; Hong Ji; Shu-Ning Chen; Xin Chen – Education & Training, 2024
Purpose: The purpose of this study is to determine the competency characteristics required for the employment of master's degree students in educational technology. Design/methodology/approach: A combined qualitative and quantitative method was used to consult multiple experts through a modified Delphi method. Competency characteristics were…
Descriptors: Educational Technology, Competence, Employment Potential, Foreign Countries
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Claire Otten; Nenagh Kemp; Vaughan Cruickshank; Louisa Peralta; Melanie Hawkins; Rose Nash – Health Education Journal, 2024
Objectives: Increasing childhood health literacy (HL) is a crucial means of improving health outcomes and reducing preventable deaths globally. Understanding how to best support children's HL development in schools is essential. However, identifying pedagogical strategies that develop children's HL relies on a fit-for-purpose measure. Currently,…
Descriptors: Health Education, Knowledge Level, Multiple Literacies, Curriculum
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Ming-Chi Tseng – Structural Equation Modeling: A Multidisciplinary Journal, 2024
The primary objective of this investigation is the formulation of random intercept latent profile transition analysis (RI-LPTA). Our simulation investigation suggests that the election between LPTA and RI-LPTA for examination has negligible impact on the estimation of transition probability parameters when the population parameters are generated…
Descriptors: Monte Carlo Methods, Predictor Variables, Research Methodology, Test Bias
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Mizumoto, Atsushi – Language Learning, 2023
Researchers often make claims regarding the importance of predictor variables in multiple regression analysis by comparing standardized regression coefficients (standardized beta coefficients). This practice has been criticized as a misuse of multiple regression analysis. As a remedy, I highlight the use of dominance analysis and random forests, a…
Descriptors: Predictor Variables, Artificial Intelligence, Evaluation Methods, Multiple Regression Analysis
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Katz, Brian P. – PRIMUS, 2022
Several major themes related to rethinking assessment emerged from a search of the papers published in "PRIMUS." Authors explored ways to change the stakes of assessments, often with outcomes-based grading and testing structures. They explored changing the "structure" of assessments by considering media beyond written exams and…
Descriptors: Mathematics Instruction, College Mathematics, Student Evaluation, Evaluation Methods
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Smit, Jorrit P.; Hessels, Laurens K. – Research Evaluation, 2021
Over the past two decades, several methods have been developed to evaluate the societal impact of research. Compared to the practical development of the field, the conceptual development is relatively weak. This review article contributes to the latter by elucidating the theoretical aspects of the dominant methods for evaluating societal impact of…
Descriptors: Evaluation Methods, Research, Outcome Measures, Research Methodology
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