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Robert, Christopher; Zeckhauser, Richard – Journal of Policy Analysis and Management, 2011
Policy analyses frequently clash. Their disagreements stem from many sources, including models, empirical estimates, and values such as who should have standing and how different criteria should be weighted. We provide a simple taxonomy of disagreement, identifying distinct categories within both the positive and values domains of normative policy…
Descriptors: Policy Analysis, Climate, Classification, Conflict
Huang, Guan-Hua; Wang, Su-Mei; Hsu, Chung-Chu – Psychometrika, 2011
Statisticians typically estimate the parameters of latent class and latent profile models using the Expectation-Maximization algorithm. This paper proposes an alternative two-stage approach to model fitting. The first stage uses the modified k-means and hierarchical clustering algorithms to identify the latent classes that best satisfy the…
Descriptors: Mathematics, Data Analysis, Classification, Models
Casey, Joseph E. – Canadian Journal of School Psychology, 2012
Although many learning disability types are formally recognized in major classification systems such as "DSM-IV-TR" and ICD-10, Nonverbal Learning Disorder (NLD) is not despite over 40 years of literature addressing its theoretical and neuropsychological foundation, its major features, and the methods by which to assess and diagnose it. Currently,…
Descriptors: Learning Disabilities, Nonverbal Ability, Disability Identification, Classification
Huebner, Alan – Practical Assessment, Research & Evaluation, 2012
Computerized classification tests (CCTs) often use sequential item selection which administers items according to maximizing psychometric information at a cut point demarcating passing and failing scores. This paper illustrates why this method of item selection leads to the overexposure of a significant number of items, and the performances of…
Descriptors: Computer Assisted Testing, Classification, Test Items, Sequential Approach
Watson, Jane – Australian Mathematics Teacher, 2014
There are five words that are critical to an appreciation of what is "typical" in data sets that students encounter across the middle school years. The first three words--mean, median and mode--are nouns that define measures of typicality in data sets. The next two words--categorical and numerical--are adjectives that describe the types…
Descriptors: Secondary School Mathematics, Data, National Curriculum, Outcome Measures
Analysis of the Carnegie Classification of Community Engagement: Patterns and Impact on Institutions
Driscoll, Amy – New Directions for Institutional Research, 2014
This chapter describes the impact that participation in the Carnegie Classification for Community Engagement had on the institutions of higher learning that applied for the classification. This is described in terms of changes in direct community engagement, monitoring and reporting on community engagement, and levels of student and professor…
Descriptors: Classification, Institutional Characteristics, Service Learning, School Community Programs
Chatterji, Madhabi; Green, Lawrence W.; Kumanyika, Shiriki – Health Education & Behavior, 2014
This article summarizes a comprehensive, systems-oriented framework designed to improve the use of a wide variety of evidence sources to address population-wide obesity problems. The L.E.A.D. framework (for "Locate" the evidence, "Evaluate" the evidence, "Assemble" the evidence, and inform "Decisions"),…
Descriptors: Guidelines, Obesity, Scientific Research, Evidence
Bernát, Péter – Acta Didactica Napocensia, 2014
The topic of sorting algorithms is a pleasant subject of informatics education. Not only is it so because the notion of sorting is well known from our everyday life, but also because as an algorithm task, whether we expect naive or practical solutions, it is easy to define and demonstrate. In my paper I will present some of the possible methods…
Descriptors: Mathematics Instruction, Elementary Secondary Education, Classification, Teaching Methods
Pritzker, J. B.; Bradach, Jeffrey L.; Kaufmann, Katherine – Bridgespan Group, 2015
When every child has the opportunity to meet his or her full potential, families, communities, and the nation's economic future strengthens. Remarkably, one in four American children come from low-income families and enter kindergarten not ready to learn and, as a result, fall behind from the very start. The nation pays a heavy price through…
Descriptors: Kindergarten, School Readiness, Early Childhood Education, Child Development
Garcia Laborda, Jesus; Litzler, Mary Frances – Online Submission, 2015
Interest in Languages for Specific Purposes (LSP)courses has grown in recent years (Harding, 2007). For this reason a paper on the current situation in the field is of relevance. The present article provides a discussion of English for Specific Purposes and it does so by reviewing the history and background of this area of teaching, proposing a…
Descriptors: English for Special Purposes, Needs Assessment, Teacher Characteristics, Student Characteristics
Lawlor, Leila G.; Willey, Susan L. – Journal of Legal Studies Education, 2017
In an undergraduate legal and ethical environment of business classes, the authors teach business students how to apply legal rules and ethical principles to problems that arise in business. Teaching the distinction between independent contractors and employees offers a rich, timely opportunity to improve students' critical thinking and…
Descriptors: Employees, Employment Level, Part Time Employment, Temporary Employment
Powers, Sonya; Li, Dongmei; Suh, Hongwook; Harris, Deborah J. – ACT, Inc., 2016
ACT reporting categories and ACT Readiness Ranges are new features added to the ACT score reports starting in fall 2016. For each reporting category, the number correct score, the maximum points possible, the percent correct, and the ACT Readiness Range, along with an indicator of whether the reporting category score falls within the Readiness…
Descriptors: Scores, Classification, College Entrance Examinations, Error of Measurement
Annie E. Casey Foundation, 2016
The Annie E. Casey Foundation's "2016 KIDS COUNT Data Book" finds today's youth--Generation Z--are healthier and completing high school on time despite mounting economic inequality and increasingly unaffordable college tuition. Aided by smart policies and investments in prevention, a record number of teens are making positive choices.…
Descriptors: Child Welfare, Economic Impact, Annual Reports, Well Being
White, David C. – International Journal of Virtual and Personal Learning Environments, 2013
This paper discusses, in the context of personal learning environments, the need for Personal Knowledge Integrators--PKI's or Knowers. It first illustrates and establishes the need for Knowers with usage scenarios and people's requirements. It then describes the elements required to make a Knower which can exchange information with other Knowers,…
Descriptors: Integrated Learning Systems, Computer Software, Design, Educational Technology
Jukier, Rosalie – Collected Essays on Learning and Teaching, 2013
Legal education has traditionally been defined by many boundaries. Characterized by taxonomic structures and doctrinal categories, legal education is, for the most part, still seen as inextricably linked to a particular political geography and state normativity. The purpose of this paper is to demonstrate the pedagogical benefits of shattering…
Descriptors: Legal Education (Professions), Classification, Teaching Methods, Creativity

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