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Showing 16 to 30 of 135 results Save | Export
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Prevodnik, Katja; Vehovar, Vasja – Sociological Methods & Research, 2023
When comparing social science phenomena through a time perspective, absolute and relative difference (RD) are the two typical presentation formats used to communicate interpretations to the audience, while time distance (TD) is the least frequently used of such formats. This article argues that the chosen presentation format is extremely important…
Descriptors: Comparative Analysis, Social Science Research, Public Agencies, College Faculty
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Stanislav Pozdniakov; Roberto Martinez-Maldonado; Yi-Shan Tsai; Vanessa Echeverria; Zachari Swiecki; Dragan Gaševic – Journal of Learning Analytics, 2025
Recent research on learning analytics dashboards has focused on designing user interfaces that offer various forms of "visualization guidance" (often referring to notions such as "data storytelling" or "narrative visualization") to teachers (e.g., emphasizing data points or trends with colour and adding annotations),…
Descriptors: Visual Aids, Learning Analytics, Technological Literacy, Pedagogical Content Knowledge
Charlotte Z. Mann; Jiaying Wang; Adam Sales; Johann A. Gagnon-Bartsch – Grantee Submission, 2024
The gold-standard for evaluating the effect of an educational intervention on student outcomes is running a randomized controlled trial (RCT). However, RCTs may often be small due to logistical considerations, and resulting treatment effect estimates may lack precision. Recent methods improve experimental precision by incorporating information…
Descriptors: Intervention, Outcomes of Education, Randomized Controlled Trials, Data Use
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Charlotte Z. Mann; Jiaying Wang; Adam Sales; Johann A. Gagnon-Bartsch – International Educational Data Mining Society, 2024
The gold-standard for evaluating the effect of an educational intervention on student outcomes is running a randomized controlled trial (RCT). However, RCTs may often be small due to logistical considerations, and resulting treatment effect estimates may lack precision. Recent methods improve experimental precision by incorporating information…
Descriptors: Intervention, Outcomes of Education, Randomized Controlled Trials, Data Use
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Pattyn, Valérie; Molenveld, Astrid; Befani, Barbara – American Journal of Evaluation, 2019
Qualitative comparative analysis (QCA) is gaining ground in evaluation circles, but the number of applications is still limited. In this article, we consider the challenges that can emerge during a QCA evaluation by drawing on our experience of conducting one in the field of development cooperation. For each stage of the evaluation process, we…
Descriptors: Qualitative Research, Comparative Analysis, Evaluation Methods, Program Evaluation
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Hanita, Makoto; Bailey, Jessica; Khanani, Noman; Zhang, Xinxin – Regional Educational Laboratory Northeast & Islands, 2021
This applied research methods report is a guide for state and local education agency policymakers and their analysts who are interested in studying teacher mobility and retention. This report is the second in a two-part set and builds on the foundational information in report 1. This report presents guidance on how to interpret differences in…
Descriptors: Faculty Mobility, Teacher Persistence, Educational Research, Research Methodology
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Kim, Eun Mi; Oláh, Leslie Nabors; Peters, Stephanie – ETS Research Report Series, 2020
K-12 students are expected to acquire competence in data display as part of developing statistical literacy. To support research, assessment design, and instruction, we developed a hypothesized learning progression (LP) using existing empirical literature in the fields of mathematics and statistics education. The data display LP posits a…
Descriptors: Mathematics Education, Statistics Education, Teaching Methods, Data Analysis
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Bi, Henry H. – Assessment & Evaluation in Higher Education, 2018
There are no absolute standards regarding what teaching evaluation ratings are satisfactory. It is also problematic to compare teaching evaluation ratings with the average or with a cutoff number to determine whether they are adequate. In this paper, we use average and standard deviation charts (X[overbar]-S charts), which are based on the theory…
Descriptors: Robustness (Statistics), Data Interpretation, Rating Scales, Computation
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Lee, Victor R.; Drake, Joel; Cain, Ryan; Thayne, Jeffrey – Cognition and Instruction, 2021
Given growing interest in K-12 data and data science education, new approaches are needed to help students develop robust understandings of and familiarity with data. The model of the "quantified self"--in which data about one's own activities are collected and made into objects of study--provides inspiration for one such approach. By…
Descriptors: Statistics Education, Familiarity, Self Concept, Prior Learning
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Boedeker, Peter – Practical Assessment, Research & Evaluation, 2017
Hierarchical linear modeling (HLM) is a useful tool when analyzing data collected from groups. There are many decisions to be made when constructing and estimating a model in HLM including which estimation technique to use. Three of the estimation techniques available when analyzing data with HLM are maximum likelihood, restricted maximum…
Descriptors: Hierarchical Linear Modeling, Maximum Likelihood Statistics, Bayesian Statistics, Computation
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Erb, Christopher D. – Journal of Cognition and Development, 2018
Developmental theory has long emphasized the importance of linking perception, cognition, and action. Techniques designed to record the spatial and temporal characteristics of hand movements (i.e., "manual dynamics") present new opportunities to study the nature of these links across development by providing a window into how perceptual,…
Descriptors: Motor Reactions, Children, Measurement Techniques, Adults
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Gardner, Paul – English in Australia, 2018
The 2017 NAPLAN results were followed by political and media attention focusing on a decline in achievement in writing. This article analyses NAPLAN data to identify the locus of the decline. Contrary to media reports in which it was suggested Year 3 was problematic, the article systematically compares NAPLAN results between 2011 and 2017 to…
Descriptors: Test Score Decline, Data Analysis, Academic Achievement, Writing Achievement
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Wang, Hong-Syuan; Chen, Sufen; Yen, Miao-Hsuan – Physical Review Physics Education Research, 2021
This study aims to examine the effectiveness of metacognitive scaffolding in different inquiry tasks related to optics. Two high school classes participated in this study. One class, the treatment group (n = 33), which integrated metacognitive prompts into the simulation-based inquiry, was compared to the other class, the control group (n = 34),…
Descriptors: Metacognition, Scaffolding (Teaching Technique), Science Process Skills, Teaching Methods
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Prodromou, Theodosia – Australian Mathematics Teacher, 2016
New technologies have completely altered the ways that citizens can access data. Indeed, emerging online data sources give citizens access to an enormous amount of numerical information that provides new sorts of evidence used to influence public opinion. In this new environment, two trends have had a significant impact on our increasingly…
Descriptors: Tables (Data), Data Interpretation, Information Skills, Capacity Building
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Hays, Danica G.; Wood, Chris – Measurement and Evaluation in Counseling and Development, 2017
We present considerations for validity when a population outside of a normed sample is assessed and those data are interpreted. Using a career group counseling example exploring life satisfaction changes as evidenced by the Quality of Life Inventory (Frisch, 1994), we showcase qualitative and quantitative approaches to explore how normative data…
Descriptors: Data Interpretation, Scores, Quality of Life, Life Satisfaction
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