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Dan Soriano; Eli Ben-Michael; Peter Bickel; Avi Feller; Samuel D. Pimentel – Grantee Submission, 2023
Assessing sensitivity to unmeasured confounding is an important step in observational studies, which typically estimate effects under the assumption that all confounders are measured. In this paper, we develop a sensitivity analysis framework for balancing weights estimators, an increasingly popular approach that solves an optimization problem to…
Descriptors: Statistical Analysis, Computation, Mathematical Formulas, Monte Carlo Methods
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Yuan Hsiao; Lee Fiorio; Jonathan Wakefield; Emilio Zagheni – Sociological Methods & Research, 2024
Obtaining reliable and timely estimates of migration flows is critical for advancing the migration theory and guiding policy decisions, but it remains a challenge. Digital data provide granular information on time and space, but do not draw from representative samples of the population, leading to biased estimates. We propose a method for…
Descriptors: Migration, Migration Patterns, Data Collection, Data Analysis
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Knapp, Thomas R.; Schafer, William D. – Practical Assessment, Research & Evaluation, 2009
Although they test somewhat different hypotheses, analysis of gain scores (or its repeated-measures analog) and analysis of covariance are both common methods that researchers use for pre-post data. The results of the two approaches yield non-comparable outcomes, but since the same generic data are used, it is possible to transform the test…
Descriptors: Statistical Analysis, Pretests Posttests, Meta Analysis, Mathematical Formulas
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Jones, Thomas W.; Price, Barbara A.; Randall, Cindy H. – Decision Sciences Journal of Innovative Education, 2011
A study was conducted at a southern university in sophomore level production classes to assess skills such as the order of arithmetic operations, decimal and percent conversion, solving of algebraic expressions, and evaluation of formulas. The study was replicated using business statistics and quantitative analysis classes at a southeastern…
Descriptors: Mathematics Skills, Comparative Analysis, Statistical Analysis, College Students
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Klastorin, T. D. – Psychometrika, 1980
The problem of objectively comparing two independently determined partitions of N objects or variables is discussed. A similarity measure based on the simple matching coefficient is defined and related to previously suggested measures. (Author/JKS)
Descriptors: Correlation, Data Analysis, Judges, Mathematical Formulas
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Benton, Joanne – Mathematics Teacher, 1988
Presents results of an investigation of a formula for rank correlation. The exploration turned up an unexpected connection and showed the formula to be far from arbitrary. (PK)
Descriptors: Correlation, Data Analysis, Mathematical Applications, Mathematical Formulas
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Sideridis, Georgios D. – Educational Psychology, 2007
Research in goal theory has often relied on the general linear model, ignoring some central assumptions of the theoretical framework under investigation. The purpose of the two studies reported here was to illustrate how the Rasch model can supplement traditional statistical analyses when evaluating the effects of goal orientations on persistence.…
Descriptors: Persistence, Probability, Item Response Theory, Data Analysis