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Peugh, James L.; Enders, Craig K. – Structural Equation Modeling: A Multidisciplinary Journal, 2010
Cluster sampling results in response variable variation both among respondents (i.e., within-cluster or Level 1) and among clusters (i.e., between-cluster or Level 2). Properly modeling within- and between-cluster variation could be of substantive interest in numerous settings, but applied researchers typically test only within-cluster (i.e.,…
Descriptors: Structural Equation Models, Monte Carlo Methods, Multivariate Analysis, Sampling
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Naseer, Muhammad Farooq; Patnam, Manasa; Raza, Reehana R. – Economics of Education Review, 2010
This paper evaluates the impact of teaching innovations, introduced in public primary schools under the Children Resources International (CRI) Program, on student outcomes. We estimate students' learning based on their scores on standardized tests. We match schools and children within the treatment and comparison group and find that the CRI…
Descriptors: Public Schools, Elementary Schools, Learning, Academic Achievement
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P. Schochet; T. Cook; J. Deke; G. Imbens; J. R. Lockwood; J. Porter; J. Smith – What Works Clearinghouse, 2010
Regression discontinuity (RD) designs are increasingly used by researchers to obtain unbiased estimates of the effects of education-related interventions. These designs are applicable when a continuous "scoring" rule is used to assign the intervention to study units (for example, school districts, schools, or students). Under an RD…
Descriptors: Educational Research, Intervention, Matched Groups, Bias
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Klein, Roger; Vella, Francis – Journal of Human Resources, 2009
This paper employs conditional second moments to identify the impact of education in wage regressions where education is treated as endogenous. This approach avoids the use of instrumental variables in a setting where instruments are frequently not available. We employ this methodology to estimate the returns to schooling for a sample of…
Descriptors: Foreign Countries, Education Work Relationship, Computation, Human Capital
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Wu, Wei; West, Stephen G.; Taylor, Aaron B. – Psychological Methods, 2009
Evaluating overall model fit for growth curve models involves 3 challenging issues. (a) Three types of longitudinal data with different implications for model fit may be distinguished: balanced on time with complete data, balanced on time with data missing at random, and unbalanced on time. (b) Traditional work on fit from the structural equation…
Descriptors: Structural Equation Models, Goodness of Fit, Longitudinal Studies, Comparative Analysis
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Rosen, Russell S. – International Journal of Special Education, 2009
This is a critical review of surveys conducted on the American deaf population since 1990. There is no agreement among the surveys on the number of deaf and hard of hearing individuals in the US. This behooves us to study the question: Why the lack of agreement in estimates and prevalence rates of the American general deaf and the deaf child…
Descriptors: Deafness, Partial Hearing, Population Groups, Incidence
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Jordan, Julie-Ann; Mulhern, Gerry; Wylie, Judith – Journal of Experimental Child Psychology, 2009
The arithmetical performance of typically achieving 5- to 7-year-olds (N=29) was measured at four 6-month intervals. The same seven tasks were used at each time point: exact calculation, story problems, approximate arithmetic, place value, calculation principles, forced retrieval, and written problems. Although group analysis showed mostly linear…
Descriptors: Intervals, Individual Differences, Number Concepts, Computation
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von Helversen, Bettina; Rieskamp, Jorg – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2009
The cognitive processes underlying quantitative estimations vary. Past research has identified task-contingent changes between rule-based and exemplar-based processes (P. Juslin, L. Karlsson, & H. Olsson, 2008). B. von Helversen and J. Rieskamp (2008), however, proposed a simple rule-based model--the mapping model--that outperformed the…
Descriptors: Cognitive Processes, Computation, Models, Cues
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Marcovitch, Stuart; Zelazo, Philip David – Developmental Science, 2009
The hierarchical competing systems model (HCSM) provides a framework for understanding the emergence and early development of executive function--the cognitive processes underlying the conscious control of behavior--in the context of search for hidden objects. According to this model, behavior is determined by the joint influence of a…
Descriptors: Object Permanence, Cognitive Processes, Models, Child Development
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Newburgh, Ronald – Physics Teacher, 2009
A problem addressed infrequently in beginning physics courses is that of a moving body with changing mass. Elementary texts often have footnotes referring to jet planes and rockets but rarely do they go further. This omission is understandable because calculations with variable mass generally require the tools of calculus. This paper presents a…
Descriptors: Student Participation, Physics, Calculus, Scientific Principles
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Bollen, Kenneth A.; Davis, Walter R. – Structural Equation Modeling: A Multidisciplinary Journal, 2009
We discuss the identification, estimation, and testing of structural equation models that have causal indicators. We first provide 2 rules of identification that are particularly helpful in models with causal indicators--the 2C emitted paths rule and the exogenous X rule. We demonstrate how these rules can help us distinguish identified from…
Descriptors: Structural Equation Models, Testing, Identification, Statistical Significance
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Harding, Ansie; Engelbrecht, Johann – International Journal of Mathematical Education in Science and Technology, 2009
Visualizing complex roots of a quadratic equation has been a quest since the inception of the Argand plane in the 1800s. Many algebraic and numerical methods exist for calculating complex roots of an equation, but few visual methods exist. Following on from papers by Harding and Engelbrecht (A. Harding and J. Engelbrecht, "Sibling curves and…
Descriptors: Mathematics Activities, Mathematics Instruction, Equations (Mathematics), Problem Solving
Bracey, Gerald W. – Principal Leadership, 2009
The statistic of choice to prove that U.S. schools are failing has changed over time. First, it was test scores that meant they could not keep up with Japan. More recently it has become graduation rate. Often accompanying the graduation rate in the failure litany is the drop-out rate. NCLB puts additional pressure on dropout counts because it…
Descriptors: Graduation Rate, Computation, Enrollment, Grade 9
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Heim, Bradley T. – Journal of Policy Analysis and Management, 2009
This paper estimates the elasticity of taxable income to the net-of-tax share using a panel of tax returns that follows a random sample of taxpayers from 1999 to 2005, spanning the EGTRRA 2001 and JGTRRA 2003 tax changes. Results suggest that the elasticity of taxable income to the current year's net-of-tax share lies between 0.3 and 0.4 overall,…
Descriptors: Tax Credits, Income, Taxes, Federal Legislation
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Saari, Donald G. – Teaching Children Mathematics, 2012
In this article, the author shares how his fourth-grade students' creative thinking concerning a long-standing research problem stimulated changes in his instructional strategies. He begins by providing an example which illustrates that the standard tool of democracy, the plurality vote, suffers serious deficiencies: "The winner can be the…
Descriptors: College Faculty, Grade 4, Voting, Mathematical Models
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