Oscar González
Biographic Data
| ID | 3634641 |
|---|---|
| NAME | Oscar González |
| GIVEN NAMES | Oscar |
| FAMILY NAME | González |
| SIGNATURE | GONZÁLEZ O |
| AFFILIATIONS | University of North Carolina at Chapel Hill |
| ORCID | 0000-0002-8686-3119 |
| VERIFIED | Yes |
| TOTAL WORKS | 18 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 18 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Generative AI Tools in Salvadoran Higher Education
The integration of generative artificial intelligence (GAI) tools in higher education offers new opportunities for personalized learning, critical thinking, and digital literacy. However, socio-economic disparities and ethical concerns present significant challenges to equitable and responsible GAI use, particularly in under-resourced educational settings. This mixed-methods study explored how undergraduate students at Universidad Centroamericana…
Virtual Group-based Walking Intervention for Adults with Schizophrenia-Spectrum Disorders
Estimating Latent Baseline-by-Treatment Interactions in Statistical Mediation Analysis
Statistical mediation analysis is used to uncover intermediate variables, known as mediators [M], that explain how a treatment [X] changes an outcome [Y]. Often, researchers examine whether baseline levels of M and Y moderate the effect of X on posttest M or Y. However, there is limited guidance on how to estimate baseline-by-treatment interaction (BTI) effects when M and Y are latent variables, which entails the estimation of latent interaction …
Accommodating a Latent XM Interaction in Statistical Mediation Analysis
Statistical mediation analysis is used in the social sciences and public health to uncover potential mechanisms, known as mediators, by which a treatment led to a change in an outcome. Recently, the estimation of the treatment-by-mediator interaction (i.e., the XM interaction) has been shown to play a pivotal role in understanding the equivalence between the traditional mediation effects in linear models and the causal mediation effects in the po…
The Effect of Noninvariance on the Estimation of the Mediated Effect in the Two-Wave Mediation Model
The two-wave mediation model is the most suitable model for examining mediation effects in a randomized intervention and includes measures taken at pretest and posttest. When using self-report measures, the meaning of responses may change for the treatment group over the course of the intervention and result in noninvariance across groups at posttest, a phenomenon referred to as response shift. We investigate how the mediated effect would be impa…
Summary Intervals for Model-Based Classification Accuracy and Consistency Indices
When scores are used to make decisions about respondents, it is of interest to estimate classification accuracy (CA), the probability of making a correct decision, and classification consistency (CC), the probability of making the same decision across two parallel administrations of the measure. Model-based estimates of CA and CC computed from the linear factor model have been recently proposed, but parameter uncertainty of the CA and CC indices …
Condiciones laborales de las cuidadoras remuneradas en el ámbito doméstico. Estudio cualitativo en el Área Metropolitana de València tras la Gran Recesión
Una de las formas de proveer cuidados es mediante la contratación de trabajadoras/cuidadoras remuneradas en el ámbito doméstico. El texto parte de dos objetivos: analizar las condiciones laborales de estas trabajadoras, independientemente de su país de origen, en el ámbito territorial del Área Metropolitana de València, y determinar si ha tenido lugar un deterioro de dichas condiciones a partir de la Gran Recesión. Mediante una metodología cualit…
Correlation Database of 60 Cross-Disciplinary Surveys and Cognitive Tasks Assessing Self-Regulation
Self-regulation is studied across various disciplines, including personality, social, cognitive, health, developmental, and clinical psychology; psychiatry; neuroscience; medicine; pharmacology; and economics. Widespread interest in self-regulation has led to confusion regarding both the constructs within the nomological network of self-regulation and the measures used to assess these constructs. To facilitate the integration of cross-disciplinar…
Psychometric and Machine Learning Approaches to Reduce the Length of Scales
Brief measures are important in psychology research because they reduce participant burden. Researchers can select items from longer measures either to build a short-form or to administer items conditional on a participant's previous responses. Researchers who carry out these item selection strategies either focus on estimating a precise score on the measure (typically carried out in a psychometric approach) or on predicting the score on the meas…
Extrinsic Convergent Validity Evidence to Prevent Jingle and Jangle Fallacies
In psychology, there have been vast creative efforts in proposing new constructs and developing measures to assess them. Less effort has been spent in investigating construct overlap to prevent bifurcated literatures, wasted research efforts, and jingle-jangle fallacies. For example, researchers could gather validity evidence to evaluate if two measures with the same label actually assess different constructs (jingle fallacy), or if two measures …
Proyecto migratorio y trayectorias laborales de cuidadoras latinoamericanas
Este texto aborda el proyecto migratorio y las trayectorias laborales de mujeres latinoamericanas que trabajan como cuidadoras en el ámbito doméstico en el Área Metropolitana de Valencia. A partir del uso de una metodología cualitativa se llega a varias conclusiones: existe una explicación multicausal de los proyectos migratorios, predominando los de carácter económico/laboral, y, en segundo lugar, sus trayectorias laborales se caracterizan por e…
Jose Luis Perez Guadalupe
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 Bifactor Approach to Model Multifaceted Constructs in Statistical Mediation Analysis
Statistical mediation analysis allows researchers to identify the most important mediating constructs in the causal process studied. Identifying specific mediators is especially relevant when the hypothesized mediating construct consists of multiple related facets. The general definition of the construct and its facets might relate differently to an outcome. However, current methods do not allow researchers to study the relationships between gene…
Preaching Conservation to Andean Pentecostal Communities
In Latin America, Pentecostal churches have an important presence in local Andean communities. I explored the opinions that rural people of the Pentecostal faith in the Peruvian Andes have on nature and conservation and tested the Evangelical principle of Creation Care as an effective method to approach them and get them interested in conservation issues. I attended special meetings of rural Pentecostal churches in Huanuco, Peru, in 2012 and 2013…
A Note on Testing Mediated Effects in Structural Equation Models
Methods to assess the significance of mediated effects in education and the social sciences are well studied and fall into two categories: single sample methods and computer-intensive methods. A popular single sample method to detect the significance of the mediated effect is the test of joint significance, and a popular computer-intensive method to detect the significance of the mediated effect is the bias-corrected bootstrap method. Both these …
Anger intensification with combat-related PTSD and depression comorbidity
Anger is becoming more widely recognized for its involvement in the psychological adjustment problems of current war veterans. Recent research with combat veterans has found anger to be related to psychological distress, psychosocial functioning, and harm risk variables. Using behavioral health data for 2,077 treatment-seeking soldiers who had been deployed to Iraq and Afghanistan, this study examined whether anger disposition was intensified for…
Fragmentos de Frankfurt. Ensayos sobre la Teoría Crítica
No Aplica
No prominent works on this page.
Fragmentos de Frankfurt. Ensayos sobre la Teoría Crítica
No Aplica
A Note on Testing Mediated Effects in Structural Equation Models
Methods to assess the significance of mediated effects in education and the social sciences are well studied and fall into two categories: single sample methods and computer-intensive methods. A popular single sample method to detect the significance of the mediated effect is the test of joint significance, and a popular computer-intensive method to detect the significance of the mediated effect is the bias-corrected bootstrap method. Both these …
Anger intensification with combat-related PTSD and depression comorbidity
Anger is becoming more widely recognized for its involvement in the psychological adjustment problems of current war veterans. Recent research with combat veterans has found anger to be related to psychological distress, psychosocial functioning, and harm risk variables. Using behavioral health data for 2,077 treatment-seeking soldiers who had been deployed to Iraq and Afghanistan, this study examined whether anger disposition was intensified for…
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 Bifactor Approach to Model Multifaceted Constructs in Statistical Mediation Analysis
Statistical mediation analysis allows researchers to identify the most important mediating constructs in the causal process studied. Identifying specific mediators is especially relevant when the hypothesized mediating construct consists of multiple related facets. The general definition of the construct and its facets might relate differently to an outcome. However, current methods do not allow researchers to study the relationships between gene…
Preaching Conservation to Andean Pentecostal Communities
In Latin America, Pentecostal churches have an important presence in local Andean communities. I explored the opinions that rural people of the Pentecostal faith in the Peruvian Andes have on nature and conservation and tested the Evangelical principle of Creation Care as an effective method to approach them and get them interested in conservation issues. I attended special meetings of rural Pentecostal churches in Huanuco, Peru, in 2012 and 2013…
Jose Luis Perez Guadalupe
Correlation Database of 60 Cross-Disciplinary Surveys and Cognitive Tasks Assessing Self-Regulation
Self-regulation is studied across various disciplines, including personality, social, cognitive, health, developmental, and clinical psychology; psychiatry; neuroscience; medicine; pharmacology; and economics. Widespread interest in self-regulation has led to confusion regarding both the constructs within the nomological network of self-regulation and the measures used to assess these constructs. To facilitate the integration of cross-disciplinar…
Psychometric and Machine Learning Approaches to Reduce the Length of Scales
Brief measures are important in psychology research because they reduce participant burden. Researchers can select items from longer measures either to build a short-form or to administer items conditional on a participant's previous responses. Researchers who carry out these item selection strategies either focus on estimating a precise score on the measure (typically carried out in a psychometric approach) or on predicting the score on the meas…
Extrinsic Convergent Validity Evidence to Prevent Jingle and Jangle Fallacies
In psychology, there have been vast creative efforts in proposing new constructs and developing measures to assess them. Less effort has been spent in investigating construct overlap to prevent bifurcated literatures, wasted research efforts, and jingle-jangle fallacies. For example, researchers could gather validity evidence to evaluate if two measures with the same label actually assess different constructs (jingle fallacy), or if two measures …
Proyecto migratorio y trayectorias laborales de cuidadoras latinoamericanas
Este texto aborda el proyecto migratorio y las trayectorias laborales de mujeres latinoamericanas que trabajan como cuidadoras en el ámbito doméstico en el Área Metropolitana de Valencia. A partir del uso de una metodología cualitativa se llega a varias conclusiones: existe una explicación multicausal de los proyectos migratorios, predominando los de carácter económico/laboral, y, en segundo lugar, sus trayectorias laborales se caracterizan por e…
The Effect of Noninvariance on the Estimation of the Mediated Effect in the Two-Wave Mediation Model
The two-wave mediation model is the most suitable model for examining mediation effects in a randomized intervention and includes measures taken at pretest and posttest. When using self-report measures, the meaning of responses may change for the treatment group over the course of the intervention and result in noninvariance across groups at posttest, a phenomenon referred to as response shift. We investigate how the mediated effect would be impa…
Summary Intervals for Model-Based Classification Accuracy and Consistency Indices
When scores are used to make decisions about respondents, it is of interest to estimate classification accuracy (CA), the probability of making a correct decision, and classification consistency (CC), the probability of making the same decision across two parallel administrations of the measure. Model-based estimates of CA and CC computed from the linear factor model have been recently proposed, but parameter uncertainty of the CA and CC indices …
Condiciones laborales de las cuidadoras remuneradas en el ámbito doméstico. Estudio cualitativo en el Área Metropolitana de València tras la Gran Recesión
Una de las formas de proveer cuidados es mediante la contratación de trabajadoras/cuidadoras remuneradas en el ámbito doméstico. El texto parte de dos objetivos: analizar las condiciones laborales de estas trabajadoras, independientemente de su país de origen, en el ámbito territorial del Área Metropolitana de València, y determinar si ha tenido lugar un deterioro de dichas condiciones a partir de la Gran Recesión. Mediante una metodología cualit…
Estimating Latent Baseline-by-Treatment Interactions in Statistical Mediation Analysis
Statistical mediation analysis is used to uncover intermediate variables, known as mediators [M], that explain how a treatment [X] changes an outcome [Y]. Often, researchers examine whether baseline levels of M and Y moderate the effect of X on posttest M or Y. However, there is limited guidance on how to estimate baseline-by-treatment interaction (BTI) effects when M and Y are latent variables, which entails the estimation of latent interaction …
Accommodating a Latent XM Interaction in Statistical Mediation Analysis
Statistical mediation analysis is used in the social sciences and public health to uncover potential mechanisms, known as mediators, by which a treatment led to a change in an outcome. Recently, the estimation of the treatment-by-mediator interaction (i.e., the XM interaction) has been shown to play a pivotal role in understanding the equivalence between the traditional mediation effects in linear models and the causal mediation effects in the po…
Generative AI Tools in Salvadoran Higher Education
The integration of generative artificial intelligence (GAI) tools in higher education offers new opportunities for personalized learning, critical thinking, and digital literacy. However, socio-economic disparities and ethical concerns present significant challenges to equitable and responsible GAI use, particularly in under-resourced educational settings. This mixed-methods study explored how undergraduate students at Universidad Centroamericana…
Virtual Group-based Walking Intervention for Adults with Schizophrenia-Spectrum Disorders
Psychology (12 works) · Computer Science (9 works) · Statistics (8 works) · Econometrics (7 works) · Mathematics (7 works) · Political science (6 works) · Psychometric Methodologies and Testing (6 works) · Artificial Intelligence (5 works) · Clinical Psychology (5 works) · Mediation (5 works)