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Judith Glaesser – International Journal of Social Research Methodology, 2024
Causal asymmetry is a situation where the causal factors under study are more suitable for explaining the outcome than its absence (or vice versa); they do not explain both equally well. In such a situation, presence of a cause leads to presence of the effect, but absence of the cause may not lead to absence of the effect. A conceptual discussion…
Descriptors: Comparative Analysis, Causal Models, Correlation, Foreign Countries
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Lee, Hyung Rock; Sung, Jaeyun; Lee, Sunbok – International Journal of Assessment Tools in Education, 2021
Conventional estimators for indirect effects using a difference in coefficients and product of coefficients produce the same results for continuous outcomes. However, for binary outcomes, the difference in coefficient estimator systematically underestimates the indirect effects because of a scaling problem. One solution is to standardize…
Descriptors: Statistical Analysis, Computation, Regression (Statistics), Scaling
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Ragan, Daniel T.; Osgood, D. Wayne; Ramirez, Nayan G.; Moody, James; Gest, Scott D. – Sociological Methods & Research, 2022
The current study compares estimates of peer influence from an analytic approach that explicitly address network processes with those from traditional approaches that do not. Using longitudinal network data from the PROmoting School-community-university Partnerships to Enhance Resilience peers project, we obtain estimates of social influence on…
Descriptors: Peer Influence, Social Networks, Network Analysis, Regression (Statistics)
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Kuha, Jouni; Mills, Colin – Sociological Methods & Research, 2020
It is widely believed that regression models for binary responses are problematic if we want to compare estimated coefficients from models for different groups or with different explanatory variables. This concern has two forms. The first arises if the binary model is treated as an estimate of a model for an unobserved continuous response and the…
Descriptors: Comparative Analysis, Regression (Statistics), Research Problems, Computation
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Fullerton, Andrew S.; Xu, Jun – Sociological Methods & Research, 2018
Adjacent category logit models are ordered regression models that focus on comparisons of adjacent categories. These models are particularly useful for ordinal response variables with categories that are of substantive interest. In this article, we consider unconstrained and constrained versions of the partial adjacent category logit model, which…
Descriptors: Regression (Statistics), Models, Classification, Comparative Analysis
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Lenhard, Wolfgang; Lenhard, Alexandra – Educational and Psychological Measurement, 2021
The interpretation of psychometric test results is usually based on norm scores. We compared semiparametric continuous norming (SPCN) with conventional norming methods by simulating results for test scales with different item numbers and difficulties via an item response theory approach. Subsequently, we modeled the norm scores based on random…
Descriptors: Test Norms, Scores, Regression (Statistics), Test Items
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Prather, Richard – Journal of Cognition and Development, 2018
Numerical comparison is a primary measure of the acuity of children's approximate number system. Approximate number system acuity is associated with key developmental outcomes such as symbolic number skill, standardized test scores, and even employment outcomes (Halberda, Mazzocco, & Feigenson, 2008; Parsons & Bynner, 1997). We examined…
Descriptors: Numbers, Computation, Comparative Analysis, Children
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López, Nancy; Erwin, Christopher; Binder, Melissa; Chavez, Mario Javier – Race, Ethnicity and Education, 2018
We appeal to critical race theory and intersectionality to examine achievement gaps at a large public university in the American southwest from 2000 to 2015. Using white, high-income women as our reference group, we report linear combinations of marginal effects for six-year graduation rates and developmental course taking across 20 distinct…
Descriptors: Higher Education, Statistical Analysis, Critical Theory, Race
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Hillman, Nicholas W.; Hicklin Fryar, Alisa; Crespín-Trujillo, Valerie – American Educational Research Journal, 2018
Today, 35 states use performance-based funding models tying appropriations directly to educational outcomes. Financial incentives should induce colleges to improve performance, but there are several well-documented reasons why this is unlikely to occur. We examine how two of the most robust performance funding states--Tennessee and Ohio--responded…
Descriptors: Higher Education, Educational Finance, Educational Policy, Incentives
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Novak, Andrew R.; Dascombe, Benjamin J. – Measurement in Physical Education and Exercise Science, 2016
This study aimed to determine if the Garmin Vector (Schaffhausen, Switzerland) power meter produced acceptable measures when compared with the Schoberer Rad Messetechnik (SRM; Julich, Germany) power meter across a range of high-intensity efforts. Twenty-one well-trained cyclists completed power profiles (seven maximal mean efforts between 5 and…
Descriptors: Measurement Equipment, Physical Activities, Statistical Analysis, Comparative Analysis
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Finch, W. Holmes – Applied Measurement in Education, 2016
Differential item functioning (DIF) assessment is a crucial component in test construction, serving as the primary way in which instrument developers ensure that measures perform in the same way for multiple groups within the population. When such is not the case, scores may not accurately reflect the trait of interest for all individuals in the…
Descriptors: Test Bias, Monte Carlo Methods, Comparative Analysis, Population Groups
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Desjardins, Christopher David – Journal of Experimental Education, 2016
The purpose of this article is to develop a statistical model that best explains variability in the number of school days suspended. Number of school days suspended is a count variable that may be zero-inflated and overdispersed relative to a Poisson model. Four models were examined: Poisson, negative binomial, Poisson hurdle, and negative…
Descriptors: Suspension, Statistical Analysis, Models, Data
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DeAngelis, Corey A. – Journal of School Choice, 2018
I employ ordered probit regression and a new instrumental variable to compare the Fall 2015 parental satisfaction survey results of open-enrollment charters to district-conversion charters. Choice status in Arkansas charter schools is largely beneficial to parental satisfaction. Specifically, parents with children in open-enrollment charters had…
Descriptors: School Choice, Parent Attitudes, Satisfaction, Charter Schools
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Van Horn, M. Lee; Jaki, Thomas; Masyn, Katherine; Howe, George; Feaster, Daniel J.; Lamont, Andrea E.; George, Melissa R. W.; Kim, Minjung – Educational and Psychological Measurement, 2015
Research increasingly emphasizes understanding differential effects. This article focuses on understanding regression mixture models, which are relatively new statistical methods for assessing differential effects by comparing results to using an interactive term in linear regression. The research questions which each model answers, their…
Descriptors: Regression (Statistics), Models, Statistical Analysis, Comparative Analysis
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Landry, Alicia S.; Thomson, Jessica L.; Huye, Holly F.; Yadrick, Kathy; Connell, Carol L. – Health Education & Behavior, 2017
Background: Improving the diet of communities experiencing health inequities can be challenging given that multiple dietary components are low in quality. Mississippi Communities for Healthy Living was designed to test the comparative effectiveness of nutrition education using a single- versus multiple-message approach to improve the diet of adult…
Descriptors: Nutrition Instruction, Comparative Analysis, Adult Education, Instructional Effectiveness
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