Shirley Tocto‐muñoz
Biographic Data
| ID | 4439992 |
|---|---|
| NAME | Shirley Tocto‐muñoz |
| GIVEN NAMES | Shirley |
| FAMILY NAME | Tocto‐muñoz |
| SIGNATURE | MUÑOZ S T |
| AFFILIATIONS | Private University of the North |
| ORCID | 0000-0002-4485-5639 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 2 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Predicting a few or many friends in schoolchildren
Machine learning algorithms were used to determine whether Peruvian 8–12-year-olds (N = 730) believe they have many or few friends based on sociodemographic and psychological variables. Theoretical variables were depression (PHQ-8), subjective well-being (SWB-3), sorrow, bullying, and birthplace. With stratified 10-fold cross-validation, the easyML R package examined six algorithms: Random Forest, XGBoost, Support Vector Machine, Neural Network, …
Problem-solving
Problem-solving is becoming more and more seen as an important skill for college students to learn to build metacognitive skills, critical thought, and the ability to learn on their own. Even though this skill is very important, there aren’t many approved tools that can be used to test it in schools, especially in Peru. The goal of this study is to fill in that gap by creating and testing a short problem-solving scale based on the Rational Proble…
Cultural adaptation and psychometric validation of the academic progress goals scale for Peruvian university students
Introduction Academic goal progress is a key motivational construct linked to students' planning, self-regulation, and academic success, yet there is a dearth of culturally adapted, validated instruments for assessing this construct in Peruvian higher-education contexts. Grounded in Social Cognitive Career Theory, this study addresses this gap by adapting and validating the Academic Progress Goals Scale (AGPS) for Peruvian university students. Me…
Validation and Reliability of the Negative Interaction Scale for Couple Relationships in Peru
This study focuses on validating a Negative Interaction Scale using a Bayesian approach for confirmatory factor analysis. Considering the significant impact of negative interactions on couple relationships, both in terms of satisfaction and the mental and physical health of individuals, the aim was to provide a reliable and precise tool for measuring these behaviors in a specific cultural context, such as that of young and adult individuals in Pe…
Prediction of the End of a Romantic Relationship in Peruvian Youth and Adults
This study explores the effectiveness of machine learning models in predicting the end of romantic relationships among Peruvian youth and adults, considering various socioeconomic and personal attributes. The study implements logistic regression, gradient boosting, support vector machines, and decision trees on SMOTE-balanced data using a sample of 429 individuals to improve model robustness and accuracy. Using stratified random sampling, the dat…
Prediction of the End of a Romantic Relationship in Peruvian Youth and Adults
This study explores the effectiveness of machine learning models in predicting the end of romantic relationships among Peruvian youth and adults, considering various socioeconomic and personal attributes. The study implements logistic regression, gradient boosting, support vector machines, and decision trees on SMOTE-balanced data using a sample of 429 individuals to improve model robustness and accuracy. Using stratified random sampling, the dat…
Prediction of the End of a Romantic Relationship in Peruvian Youth and Adults
This study explores the effectiveness of machine learning models in predicting the end of romantic relationships among Peruvian youth and adults, considering various socioeconomic and personal attributes. The study implements logistic regression, gradient boosting, support vector machines, and decision trees on SMOTE-balanced data using a sample of 429 individuals to improve model robustness and accuracy. Using stratified random sampling, the dat…
Problem-solving
Problem-solving is becoming more and more seen as an important skill for college students to learn to build metacognitive skills, critical thought, and the ability to learn on their own. Even though this skill is very important, there aren’t many approved tools that can be used to test it in schools, especially in Peru. The goal of this study is to fill in that gap by creating and testing a short problem-solving scale based on the Rational Proble…
Cultural adaptation and psychometric validation of the academic progress goals scale for Peruvian university students
Introduction Academic goal progress is a key motivational construct linked to students' planning, self-regulation, and academic success, yet there is a dearth of culturally adapted, validated instruments for assessing this construct in Peruvian higher-education contexts. Grounded in Social Cognitive Career Theory, this study addresses this gap by adapting and validating the Academic Progress Goals Scale (AGPS) for Peruvian university students. Me…
Validation and Reliability of the Negative Interaction Scale for Couple Relationships in Peru
This study focuses on validating a Negative Interaction Scale using a Bayesian approach for confirmatory factor analysis. Considering the significant impact of negative interactions on couple relationships, both in terms of satisfaction and the mental and physical health of individuals, the aim was to provide a reliable and precise tool for measuring these behaviors in a specific cultural context, such as that of young and adult individuals in Pe…
Predicting a few or many friends in schoolchildren
Machine learning algorithms were used to determine whether Peruvian 8–12-year-olds (N = 730) believe they have many or few friends based on sociodemographic and psychological variables. Theoretical variables were depression (PHQ-8), subjective well-being (SWB-3), sorrow, bullying, and birthplace. With stratified 10-fold cross-validation, the easyML R package examined six algorithms: Random Forest, XGBoost, Support Vector Machine, Neural Network, …
Psychology (3 works) · Attachment and Relationship Dynamics (2 works) · Child and Adolescent Psychosocial and Emotional Development (2 works) · Confirmatory factor analysis (2 works) · Mathematics (2 works) · Social Psychology (2 works) · Structural equation modeling (2 works) · Artificial neural network (1 work) · Bayesian probability (1 work) · Behavioral Health and Interventions (1 work)