Machine learning regression models for internal shame
Bibliographic Data
| ID | 9406527 |
|---|---|
| Authors | Nataša Kovač (0000-0002-6671-2938, University of Donja Gorica), Kruna Ratković (0000-0002-3947-5797, University of Donja Gorica), Hojjatollah Farahani (0000-0002-9799-7008, Tarbiat Modares University), Peter Watson (0000-0002-9436-0693, MRC Cognition and Brain Sciences Unit, corresponding author) |
| Year | 2025 |
| Volume | 260 |
| Pages | 105721-105721 |
| Publication date | 2025-10-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Acta Psychologica (JOURNAL) |
| Journal identifiers | ISSN: 0001-6918 • E-ISSN: 1873-6297 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.actpsy.2025.105721 |
| PMID | 41061523 |
| OpenAlex | W4414898822 |
| Language | EN |
| References cited | 66 |
This study aims to predict Internal Shame (IS) based on childhood trauma, social emotional competence, cognitive flexibility, distress tolerance and alexithymia in an Iranian sample. The regression results suggested that distress tolerance was the most significant predictor, whereas cognitive flexibility had the least impact. We initially tested nine machine learning regression techniques (Multi-Layer Perceptron, AdaBoost, Support Vector Regression, Artificial Neural Network, Decision Tree, Random Forest, Gradient Boosting, Stochastic Gradient Boosting, and Extreme Gradient Boosting). Based on performance evaluation, we retained five models (Decision Tree, Random Forest, Gradient Boosting, Stochastic Gradient Boosting, and XGBoost) for detailed analysis of IS. The findings indicate that the XGBoost regression model was superior in performance compared to the other applied methods
Emotions and Moral Behavior · Posttraumatic Stress Disorder Research · Technology and Human Factors in Education and Health
Unpacking Sensitive Research
The Cognitive Flexibility Inventory
Distress Tolerance
Stochastic gradient boosting
Ii. More Than Just Convenient
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
The Distress Tolerance Scale
Social-Emotional Competence as Support for School Readiness
Greedy function approximation
Random Forests
Estimating the reproducibility of psychological science
Most people are not Weird
Comparison of Convenience Sampling and Purposive Sampling
How the Complexity of Psychological Processes Reframes the Issue of Reproducibility in Psychological Science
“You’re Ugly and Bad!“
Men’s Shame and Anger
Sampling in developmental science
Generalizing sentiment analysis
Common Method Bias
Roads less travelled to self-forgiveness
Role of blame and rape-related shame in distress among rape victims
Predicting the Social-Emotional Competence Based on Childhood Trauma, Internalized Shame, Disability/Shame Scheme, Cognitive Flexibility, Distress Tolerance and Alexithymia in an Iranian Sample Using Bayesian Regression
An Investigation of Multicultural Counseling Competence Development among Graduate-Level Counseling Students through Mindfulness, Cognitive Complexity, and Cognitive Flexibility
Children's Attachment Relationships with Day Care Caregivers
When Shaming Is Shameful
Shame on me? Shyness, social experiences at preschool, and young children’s self-conscious emotions
The effects of early relational trauma on right brain development, affect regulation, and infant mental health
Autonomy support and students’ perceived social-emotional competence
| Citation velocity | historical |
|---|---|
| Highly cited | No |