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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
Xu, Cuiqin; Qi, Yan – Educational Technology & Society, 2017
Using computer keystroke logs, this study investigated how writing skill affected L2 writers' pausing patterns to gain insights into their management of the cognitive writing processes. The 59 participants, 29 in the more-skilled group and 30 in the less-skilled group, were recruited from a college English course at a key Chinese university. The…
Descriptors: Computer Assisted Instruction, Writing Instruction, Second Language Instruction, English (Second Language)
Bird, Kevin D. – Psychological Methods, 2011
Any set of confidence interval inferences on J - 1 linearly independent contrasts on J means, such as the two comparisons [mu][subscript 1] - [mu][subscript 2] and [mu][subscript 2] - [mu][subscript 3] on 3 means, provides a basis for the deduction of interval inferences on all other contrasts, such as the redundant comparison [mu][subscript 1] -…
Descriptors: Intervals, Statistical Analysis, Inferences, Comparative Analysis
Bouhlila, Donia Smaali; Sellaouti, Fethi – Large-scale Assessments in Education, 2013
In this paper, we document a study that involved applying a multiple imputation technique with chained equations to data drawn from the 2007 iteration of the TIMSS database. More precisely, we imputed missing variables contained in the student background datafile for Tunisia (one of the TIMSS 2007 participating countries), by using Van Buuren,…
Descriptors: Databases, Student Characteristics, Error of Measurement, Intervals
Drummond, Gordon B.; Vowler, Sarah L. – Advances in Physiology Education, 2011
Current standards of data presentation and analysis in biological journals often fall short of ideal. This is the first of a planned series of short articles, to be published in a number of journals, aiming to highlight the principles of clear data presentation and appropriate statistical analysis. This article considers the methods used to show…
Descriptors: Intervals, Statistical Analysis, Journal Articles, Periodicals
Shiyko, Mariya P.; Ram, Nilam – Multivariate Behavioral Research, 2011
Researchers have been making use of ecological momentary assessment (EMA) and other study designs that sample feelings and behaviors in real time and in naturalistic settings to study temporal dynamics and contextual factors of a wide variety of psychological, physiological, and behavioral processes. As EMA designs become more widespread,…
Descriptors: Generalizability Theory, Intervals, Smoking, Self Efficacy
Malik, Qaiser Hameed – ProQuest LLC, 2010
This research study focused on freshman attitudes towards engineering in a newly implemented cornerstone sequence that emphasized holistic design experiences. The students' initial attitudes and changes in these attitudes were examined with the explanatory mixed methods approach that allows a sequential examination of the target population with…
Descriptors: Intervals, Student Attitudes, Group Dynamics, Engineering
Byrd, Jimmy K. – Educational Administration Quarterly, 2007
Purpose: The purpose of this study was to review research published by Educational Administration Quarterly (EAQ) during the past 10 years to determine if confidence intervals and effect sizes were being reported as recommended by the American Psychological Association (APA) Publication Manual. Research Design: The author examined 49 volumes of…
Descriptors: Research Design, Intervals, Statistical Inference, Effect Size
Klein, Andreas G.; Muthen, Bengt O. – Journal of Educational and Behavioral Statistics, 2006
In this article, a heterogeneous latent growth curve model for modeling heterogeneity of growth rates is proposed. The suggested model is an extension of a conventional growth curve model and a complementary tool to mixed growth modeling. It allows the modeling of heterogeneity of growth rates as a continuous function of latent initial status and…
Descriptors: Intervals, Computation, Structural Equation Models, Mathematics Achievement

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