Margarita Olivera‐Aguilar
Biographic Data
| ID | 5453393 |
|---|---|
| NAME | Margarita Olivera‐Aguilar |
| GIVEN NAMES | Margarita |
| FAMILY NAME | Olivera‐Aguilar |
| SIGNATURE | AGUILAR M O |
| AFFILIATIONS | Educational Testing Service |
| VERIFIED | No |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 2 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 1 |
The GRE as a predictor of persistence to a PhD
Because dropout from PhD programs is common and is a problem with serious consequences for both students and institutions, identifying indicators of likely dropout would be very valuable. Scores on admissions tests might be useful, but existing data on their utility is contradictory and typically based on highly restricted small samples from just a single institution or a small set of institutions. Programs dropping the GRE as an admissions requi…
A multi-level modeling approach to investigating students’ critical thinking at higher education institutions
Twenty-first century and higher-learning skills such as critical thinking are highly desired for new college graduates entering the workplace, especially with rapid changing technology and a more globalized economy. As a result, the importance of critical thinking development at higher education institutions has increased. The purpose of this study was to examine the effect of student and institutional variables on the difference in critical thin…
Bias, Type I Error Rates, and Statistical Power of a Latent Mediation Model in the Presence of Violations of Invariance
When testing a statistical mediation model, it is assumed that factorial measurement invariance holds for the mediating construct across levels of the independent variable X. The consequences of failing to address the violations of measurement invariance in mediation models are largely unknown. The purpose of the present study was to systematically examine the impact of mediator noninvariance on the Type I error rates, statistical power, and rela…
Using Latent Profile Analysis to Identify Noncognitive Skill Profiles Among College Students
Most research examining the relationship between noncognitive variables and academic performance has tended to focus on developing linear prediction models. However, a more holistic understanding of academic success can be achieved by examining the noncognitive profiles of students and their relationship with academic outcomes. In the present study, we used latent profile analysis to explore the noncognitive profiles of 5,120 college students. To…
Statistical Power for a Simultaneous Test of Factorial and Predictive Invariance
A common finding in studies of differential prediction across groups is that although regression slopes are the same or similar across groups, group differences exist in regression intercepts. Building on earlier work by Birnbaum (1979) , Millsap (1998) presented an invariant factor model that would explain such intercept differences as arising due to unique variance or measurement error in the predictors and criterion. The model can be tested ev…
Using Latent Profile Analysis to Identify Noncognitive Skill Profiles Among College Students
Most research examining the relationship between noncognitive variables and academic performance has tended to focus on developing linear prediction models. However, a more holistic understanding of academic success can be achieved by examining the noncognitive profiles of students and their relationship with academic outcomes. In the present study, we used latent profile analysis to explore the noncognitive profiles of 5,120 college students. To…
Statistical Power for a Simultaneous Test of Factorial and Predictive Invariance
A common finding in studies of differential prediction across groups is that although regression slopes are the same or similar across groups, group differences exist in regression intercepts. Building on earlier work by Birnbaum (1979) , Millsap (1998) presented an invariant factor model that would explain such intercept differences as arising due to unique variance or measurement error in the predictors and criterion. The model can be tested ev…
Using Latent Profile Analysis to Identify Noncognitive Skill Profiles Among College Students
Most research examining the relationship between noncognitive variables and academic performance has tended to focus on developing linear prediction models. However, a more holistic understanding of academic success can be achieved by examining the noncognitive profiles of students and their relationship with academic outcomes. In the present study, we used latent profile analysis to explore the noncognitive profiles of 5,120 college students. To…
Bias, Type I Error Rates, and Statistical Power of a Latent Mediation Model in the Presence of Violations of Invariance
When testing a statistical mediation model, it is assumed that factorial measurement invariance holds for the mediating construct across levels of the independent variable X. The consequences of failing to address the violations of measurement invariance in mediation models are largely unknown. The purpose of the present study was to systematically examine the impact of mediator noninvariance on the Type I error rates, statistical power, and rela…
A multi-level modeling approach to investigating students’ critical thinking at higher education institutions
Twenty-first century and higher-learning skills such as critical thinking are highly desired for new college graduates entering the workplace, especially with rapid changing technology and a more globalized economy. As a result, the importance of critical thinking development at higher education institutions has increased. The purpose of this study was to examine the effect of student and institutional variables on the difference in critical thin…
The GRE as a predictor of persistence to a PhD
Because dropout from PhD programs is common and is a problem with serious consequences for both students and institutions, identifying indicators of likely dropout would be very valuable. Scores on admissions tests might be useful, but existing data on their utility is contradictory and typically based on highly restricted small samples from just a single institution or a small set of institutions. Programs dropping the GRE as an admissions requi…
Psychology (4 works) · Statistics (4 works) · Mathematics (3 works) · Mathematics education (3 works) · Advanced Statistical Modeling Techniques (2 works) · Confirmatory factor analysis (2 works) · Econometrics (2 works) · Engineering (2 works) · Measurement invariance (2 works) · Statistical power (2 works)