Yadira Peralta

Yadira Peralta
University of Minnesota Twin Cities | UMN · Department of Educational Psychology

Doctor of Philosophy

About

15
Publications
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163
Citations
Introduction
Yadira Peralta is an Assistant Professor at Center for Research and Teaching in Economics located in Aguascalientes, Mexico. She has a PhD in Quantitive Methods in Education under the Department of Educational Psychology at the University of Minnesota Twin Cities. Yadira does research in Quantitative Psychology and Statistics. Their most recent publication is 'Piecewise Random-Effects Modeling Software Programs'.

Publications

Publications (15)
Article
Full-text available
Background. Mexico City Metropolitan Area (MCMA) has the largest number of COVID-19 (coronavirus disease 2019) cases in Mexico and is at risk of exceeding its hospital capacity in early 2021. Methods. We used the Stanford-CIDE Coronavirus Simulation Model (SC-COSMO), a dynamic transmission model of COVID-19, to evaluate the effect of policies consi...
Preprint
Full-text available
Background With more than 20 million residents, Mexico City Metropolitan Area (MCMA) has the largest number of Covid-19 cases in Mexico and is at risk of exceeding its hospital capacity in late December 2020. Methods We used SC-COSMO, a dynamic compartmental Covid-19 model, to evaluate scenarios considering combinations of increased contacts durin...
Article
Full-text available
Longitudinal processes rarely occur in isolation; often the growth curves of two or more variables are interdependent. Moreover, growth curves rarely exhibit a constant pattern of change. Many educational and psychological phenomena are comprised of different developmental phases (segments). Bivariate piecewise linear mixed-effects models (BPLMEM)...
Article
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Understanding students’ readiness for precalculus and calculus at the community college level is critical not only because of the key role community colleges play in higher education, but also because calculus remains a gateway course for students in advancing to higher level mathematics. The Algebra and Precalculus Concept Readiness Assessment for...
Article
Full-text available
In this software review, we provide a brief overview of four different functions to fit a piecewise random-effects model with unknown changepoints. Specifically, the four functions are: FitPMM from the R routine developed by Zopluoglu, Harring, and Kohli (2014), PROC NLMIXED from SAS, BayesPGM from the BayesianPGMM package in R developed by Lock, K...
Article
Computer simulation studies represent an important tool for investigating processes difficult or impossible to study using mathematical theory or real data. Hoaglin and Andrews (1975) recommended these studies be treated as statistical sampling experiments subject to established principles of design and data analysis, but the survey of Hauck and An...
Article
Background. Calibration is the process of estimating parameters of a mathematical model by matching model outputs to calibration targets. In the presence of nonidentifiability, multiple parameter sets solve the calibration problem, which may have important implications for decision making. We evaluate the implications of nonidentifiability on the o...
Article
Piecewise mixed-effects models are useful for analyzing longitudinal educational and psychological data sets to model segmented change over time. These models offer an attractive alternative to commonly used quadratic and higher-order polynomial models because the coefficients obtained from fitting the model have meaningful substantive interpretati...
Chapter
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Preparing high-quality mathematics primary teachers is a priority of teacher education programs as they seek to fulfill professional standards. Programs have used a number of strategies to achieve these goals including developing criteria for program admission and graduation, and regulating future teachers’ opportunities to learn during their progr...
Article
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Abstract: Repeated measures data are widely used in social and behavioral sciences, e.g., to investigate the trajectory of an underlying phenomenon over time. A variety of different mixed-effects models, a type of statistical modeling approach for repeated measures data, have been proposed and they differ mainly in two aspects: (1) the distribution...
Article
Treating computer simulation studies as statistical sampling experiments subject to established principles of experimental design and data analysis should further enhance their ability to inform statistical practice and a program of statistical research. Latin hypercube designs to enhance generalizability and meta-analytic methods to analyze simula...
Article
The emphasis of reform-oriented science education today focuses on engineering integration in K-12 science classrooms. However, there is little research, particularly longitudinal research, on how different approaches to engineering integration influence student learning and interest. To address this gap in the literature, this study analyzed a mid...
Article
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The new science education reform documents call for integration of engineering into K-12 science classes. Engineering design and practices are new to most science teachers, meaning that implementing effective engineering instruction is likely to be challenging. This quasi-experimental study explored the influence of teacher-developed, engineering d...

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