Bee Piang Tan
Biographic Data
| ID | 6812840 |
|---|---|
| NAME | Bee Piang Tan |
| GIVEN NAMES | Bee Piang |
| FAMILY NAME | Tan |
| SIGNATURE | TAN B P |
| AFFILIATIONS | Sultan Idris Education University |
| ORCID | 0000-0003-1769-0901 |
| VERIFIED | Yes |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 1 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2019 |
| H-INDEX | 1 |
Examining family and school factors as predictors of delinquency: A study of juvenile offenders, at‐risk students, and low‐risk students in Malaysia
This study aims to examine family and school factors as predictors of delinquency among adolescents in Malaysia. A total of 101 juvenile offenders, 86 at‐risk students, and 92 low‐risk students were involved in this study. Multinomial logistic regression was used to predict the likelihood of an adolescent being in a group of juvenile offenders or of being an at‐risk or low‐risk student, based on four predictor variables: family structure, family …
Examining family and school factors as predictors of delinquency: A study of juvenile offenders, at‐risk students, and low‐risk students in Malaysia
This study aims to examine family and school factors as predictors of delinquency among adolescents in Malaysia. A total of 101 juvenile offenders, 86 at‐risk students, and 92 low‐risk students were involved in this study. Multinomial logistic regression was used to predict the likelihood of an adolescent being in a group of juvenile offenders or of being an at‐risk or low‐risk student, based on four predictor variables: family structure, family …
Examining family and school factors as predictors of delinquency: A study of juvenile offenders, at‐risk students, and low‐risk students in Malaysia
This study aims to examine family and school factors as predictors of delinquency among adolescents in Malaysia. A total of 101 juvenile offenders, 86 at‐risk students, and 92 low‐risk students were involved in this study. Multinomial logistic regression was used to predict the likelihood of an adolescent being in a group of juvenile offenders or of being an at‐risk or low‐risk student, based on four predictor variables: family structure, family …
Child and Adolescent Psychosocial and Emotional Development (1 works) · Crime Patterns and Interventions (1 works) · Developmental psychology (1 works) · Family Dynamics and Relationships (1 works) · Juvenile delinquency (1 works) · Logistic regression (1 works) · Medicine (1 works) · Multinomial logistic regression (1 works) · Protective factor (1 works) · Psychology (1 works)