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Rickles, Jordan H.; Hansen, Mark; Wang, Jia – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2013
In this paper we examine ways to conceptualize and address potential bias that can arise when the mechanism for missing outcome data is at least partially associated with treatment assignment, an issue we refer to as treatment confounded missingness (TCM). In discussing TCM, we bring together concepts from the methodological literature on missing…
Descriptors: Data, Bias, Data Analysis, Statistical Analysis
Bloom, Howard S.; Porter, Kristin E.; Weiss, Michael J.; Raudenbush, Stephen – Society for Research on Educational Effectiveness, 2013
To date, evaluation research and policy analysis have focused mainly on average program impacts and paid little systematic attention to their variation. Recently, the growing number of multi-site randomized trials that are being planned and conducted make it increasingly feasible to study "cross-site" variation in impacts. Important…
Descriptors: Research Methodology, Policy, Evaluation Research, Randomized Controlled Trials
Sarkar, Saurabh – ProQuest LLC, 2013
In the modern world information has become the new power. An increasing amount of efforts are being made to gather data, resources being allocated, time being invested and tools being developed. Data collection is no longer a myth; however, it remains a great challenge to create value out of the enormous data that is being collected. Data modeling…
Descriptors: Data Analysis, Data Collection, Error of Measurement, Research Problems
Varner, Laura K.; Jackson, G. Tanner; Snow, Erica L.; McNamara, Danielle S. – Grantee Submission, 2013
This study expands upon an existing model of students' reading comprehension ability within an intelligent tutoring system. The current system evaluates students' natural language input using a local student model. We examine the potential to expand this model by assessing the linguistic features of self-explanations aggregated across entire…
Descriptors: Reading Comprehension, Intelligent Tutoring Systems, Natural Language Processing, Reading Ability
Lomas, Gregor; Mills, Kelvin – Mathematics Education Research Group of Australasia, 2013
This paper examines correspondences and disjunctions within a national curriculum and between various aspects of its delivery, and how these align with the mathematical needs of the workplace. This is investigated in the context of the New Zealand school mathematics curriculum; the Numeracy Development Project; the senior school assessment regime,…
Descriptors: Foreign Countries, Instructional Materials, Numeracy, Thinking Skills
Burfitt, Joan – Mathematics Education Research Group of Australasia, 2013
A review of the research literature indicated that there were probable orders in which students develop understandings and skills for calculating with percentages. Such calculations might include using models to represent percentages, knowing fraction equivalents, selection of strategies to solve problems and determination of percentage change. To…
Descriptors: Mathematics Instruction, Mathematics Skills, Computation, Mathematical Concepts
Godfrey, Connie J.; Stone, Jamalee – Teaching Children Mathematics, 2013
Math games can be powerful tools in helping students achieve automaticity in basic addition and related subtraction facts if both teachers and students use them purposefully. According to the National Council of Teachers of Mathematics (NCTM 2000), developing a solid mathematical foundation is essential for every child in prekindergarten through…
Descriptors: Mathematics Instruction, Mathematics Skills, Educational Games, Arithmetic
Estabrook, Ryne; Neale, Michael – Multivariate Behavioral Research, 2013
Factor score estimation is a controversial topic in psychometrics, and the estimation of factor scores from exploratory factor models has historically received a great deal of attention. However, both confirmatory factor models and the existence of missing data have generally been ignored in this debate. This article presents a simulation study…
Descriptors: Factor Analysis, Scores, Computation, Regression (Statistics)
Hsu, Wei-Chih; Li, Cheng-Hsiu – Interactive Learning Environments, 2015
This paper presents a new algorithm called competency-based guided-learning algorithm (CBGLA), which can be applied on adaptively guiding e-learning. Computational process analysis and mathematical derivation of competency-based learning (CBL) were used to develop the CBGLA. The proposed algorithm could generate an effective adaptively guiding…
Descriptors: Educational Technology, Competency Based Education, Pretests Posttests, Scores
Declercq, Koen; Verboven, Frank – Education Economics, 2015
We study the impact of socio-economic status on enrollment and study decisions in higher education. We use a discrete choice approach to distinguish between three channels. First, students from disadvantaged backgrounds may be more sensitive to the costs of education. Second, they may have lower preferences for education. Third, they may have…
Descriptors: Socioeconomic Status, Higher Education, Disadvantaged, Paying for College
Knowlden, Adam P.; Sharma, Manoj; Cottrell, Randall R.; Wilson, Bradley R. A.; Johnson, Marcus Lee – Health Education & Behavior, 2015
Background. The family and home environment is an influential antecedent of childhood obesity. The purpose of this study was to pilot test The Enabling Mothers to Prevent Pediatric Obesity through Web-Based Education and Reciprocal Determinism (EMPOWER) intervention; a newly developed, theory-based, online program for prevention of childhood…
Descriptors: Obesity, Intervention, Mothers, Young Children
Scheerens, Jaap; Luyten, Hans; van den Berg, Stéphanie M.; Glas, Cees A. W. – Educational Research and Evaluation, 2015
As expectations of the economic impact of educational attainment are soaring (Hanushek & Woessmann, 2009) and conjectures about successful national educational reforms (Mourshed, Chijioke, & Barber, 2010) are welcomed by educational policy-makers in many countries, a careful assessment of the empirical evidence for these kinds of claims is…
Descriptors: Foreign Countries, Educational Attainment, Educational Change, Comparative Education
Gervasoni, Ann; Perry, Bob; Parish, Linda – Mathematics Education Research Group of Australasia, 2015
"Let's Count" is an early mathematics program that has been designed by The Smith Family and the authors to assist educators in early childhood contexts in socially disadvantaged areas of Australia to work in partnership with parents and other family members to promote positive mathematical experiences for young children (3-5 years). A…
Descriptors: Mathematics Instruction, Computation, Early Childhood Education, Preschool Children
Jance, Marsha L.; Thomopoulos, Nick T. – American Journal of Business Education, 2011
The paper shows how to find the min and max extreme interval values for the exponential and triangular distributions from the min and max uniform extreme interval values. Tables are provided to show the min and max extreme interval values for the uniform, exponential, and triangular distributions for different probabilities and observation sizes.
Descriptors: Intervals, Probability, Observation, Statistical Distributions
Moy, Ronald L.; Terregrossa, Ralph – American Journal of Business Education, 2011
This note points out that realized compound yield (RCY) has a similar concept from capital budgeting; namely, modified internal rate of return. Recognizing this relationship makes it easier to teach the concept and allows students to easily compute RCY using a financial calculator.
Descriptors: Financial Services, Calculators, Computation, Accounting

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