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Massachusetts Department of Elementary and Secondary Education, 2013
The Massachusetts Department of Elementary and Secondary Education (Department) created the grades 1-12 Early Warning Indicator System (EWIS) in response to district interest in the Early Warning Indicator Index (EWII) that the Department previously created for rising grade 9 students. Districts shared that the EWII data were helpful, but also…
Descriptors: Dropout Prevention, Risk, Models, Identification
Goe, Laura; Holdheide, Lynn – National Comprehensive Center for Teacher Quality, 2011
The growing need for more information about measuring teachers' contributions to student learning growth, particularly in nontested subjects and grades, is the impetus for this Research & Policy Brief. Although the research base in this area is disappointingly limited, the brief includes considerations and suggestions based on current models…
Descriptors: Teacher Evaluation, Instructional Effectiveness, Teacher Effectiveness, School Districts
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Skinner, Ellen A.; Chi, Una – Journal of Environmental Education, 2012
Building on self-determination theory, this study presents a model of intrinsic motivation and engagement as "active ingredients" in garden-based education. The model was used to create reliable and valid measures of key constructs, and to guide the empirical exploration of motivational processes in garden-based learning. Teacher- and…
Descriptors: Validity, Student Motivation, Gardening, Self Determination
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Broder, Arndt; Schutz, Julia – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2009
Recent reviews of recognition receiver operating characteristics (ROCs) claim that their curvilinear shape rules out threshold models of recognition. However, the shape of ROCs based on confidence ratings is not diagnostic to refute threshold models, whereas ROCs based on experimental bias manipulations are. Also, fitting predicted frequencies to…
Descriptors: Recognition (Psychology), Models, Bias, Perception
Chen, Chau-Kuang – Association for Institutional Research (NJ1), 2010
Artificial Neural Network (ANN) and Support Vector Machine (SVM) approaches have been on the cutting edge of science and technology for pattern recognition and data classification. In the ANN model, classification accuracy can be achieved by using the feed-forward of inputs, back-propagation of errors, and the adjustment of connection weights. In…
Descriptors: Case Studies, Curriculum Evaluation, Classification, Models
Sanchez Rivera, Yamil – ProQuest LLC, 2010
The purpose of this study is to add to what we know about the affective domain and to create a valid instrument for future studies. The Motivation to Learn Science (MLS) Inventory is based on Krathwohl's Taxonomy of Affective Behaviors (Krathwohl et. al., 1964). The results of the Exploratory Factor Analysis (EFA) and Confirmatory Factor…
Descriptors: Validity, Learning Motivation, Affective Behavior, Factor Analysis
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Cukusic, Maja; Alfirevi, Niksa; Granic, Andrina; Garaca, Zeljko – Computers & Education, 2010
The aim of this paper was to design and assess a comprehensive model for managing the e-learning process and to define the relationship between systematic implementation of the model, outcomes of certain e-learning aspects and subject of e-learning. The validation of the model was performed by using two questionnaires sent via e-mail to teachers…
Descriptors: Electronic Learning, Foreign Countries, Educational Technology, Models
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Nardi, Emma – Assessment in Education: Principles, Policy & Practice, 2008
In response to Barry McGaw's article "The role of the OECD in international comparative studies of achievement", this contribution explores two issues which the author considers closely interrelated. The first issue concerns the quality of the items produced to assess reading skills in the OECD-PISA and OECD-SIALS studies and the…
Descriptors: Cultural Awareness, Foreign Countries, Comparative Analysis, Reading Skills
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Slaney, Kathleen L.; Maraun, Michael D. – Psychological Methods, 2008
The authors argue that the current state of applied data-based test analytic practice is unstructured and unmethodical due in large part to the fact that there is no clearly specified, widely accepted test analytic framework for judging the performances of particular tests in particular contexts. Drawing from the extant test theory literature,…
Descriptors: Test Theory, Data, Test Validity, Models
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Young, John W. – Educational Assessment, 2009
In this article, I specify a conceptual framework for test validity research on content assessments taken by English language learners (ELLs) in U.S. schools in grades K-12. This framework is modeled after one previously delineated by Willingham et al. (1988), which was developed to guide research on students with disabilities. In this framework…
Descriptors: Test Validity, Evaluation Research, Achievement Tests, Elementary Secondary Education
Alodhaibi, Khalid – ProQuest LLC, 2011
Recommender systems aim to support users in their decision-making process while interacting with large information spaces and recommend items of interest to users based on preferences they have expressed, either explicitly or implicitly. Recommender systems are increasingly used with product and service selection over the Internet. Although…
Descriptors: Information Processing, Decision Support Systems, Decision Making, Preferences
Theera-Ampornpunt, Nawanan – ProQuest LLC, 2011
Background: With documented benefits and recent public policies, health information technology (IT) has received increasing attention in recent years. However, knowledge about Thailand's state of hospital IT adoption is lacking. The literature also identifies organizational management practices that are important to health IT implementation, but…
Descriptors: Hospitals, Information Technology, Technology Integration, Foreign Countries
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Hubley, Anita M.; Zumbo, Bruno D. – Social Indicators Research, 2011
The vast majority of measures have, at their core, a purpose of personal and social change. If test developers and users want measures to have personal and social consequences and impact, then it is critical to consider the consequences and side effects of measurement in the validation process itself. The consequential basis of test interpretation…
Descriptors: Construct Validity, Social Change, Measurement, Test Interpretation
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Windingstad, Sunny; McCallum, R. Steve; Bell, Sherry Mee; Dunn, Patrick – Canadian Journal of School Psychology, 2011
The concurrent validity of two measures of Emotional Intelligence (EI), one considered a trait measure, the other an ability measure, was examined by administering the Emotional Quotient Inventory: Youth Version (EQi:YV; Bar-On & Parker, 2000), the Mayer-Salovey-Caruso Emotional Intelligence Test: Youth Version (MSCEIT:YV; Mayer, Salovey, &…
Descriptors: Emotional Intelligence, Intelligence Tests, Correlation, Item Analysis
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Stone, Gregory Ethan; Koskey, Kristin L. K.; Sondergeld, Toni A. – Educational and Psychological Measurement, 2011
Typical validation studies on standard setting models, most notably the Angoff and modified Angoff models, have ignored construct development, a critical aspect associated with all conceptualizations of measurement processes. Stone compared the Angoff and objective standard setting (OSS) models and found that Angoff failed to define a legitimate…
Descriptors: Cutting Scores, Standard Setting (Scoring), Models, Construct Validity
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