Takemi Mori
Biographic Data
| ID | 4127437 |
|---|---|
| NAME | Takemi Mori |
| GIVEN NAMES | Takemi |
| FAMILY NAME | Mori |
| SIGNATURE | MORI T |
| AFFILIATIONS | IRYO Sosei University |
| ORCID | 0009-0008-8294-9143 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2008 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
The Added Value of the YLS/CMI Subscales Beyond the Total Score Among Japanese Youth Offenders in Detention
This study examined whether subscales of the Youth Level of Service Case Management Inventory (YLS/CMI) have added value beyond the total score. Including 238 detained Japanese juvenile offenders (ages 16–19), the proportional reduction in mean squared error (PRMSE) method was applied. Most subscales showed added value, except for Attitudes/Orientation. For the younger group, all subscales except Attitudes/Orientation showed added value. For olde…
Selecting Items to Compose a Brief Version of the Youth Level of Service/Case Management Inventory Using Machine Learning, Sparse Modeling
This study aims to briefly compose a well-known tool, Youth Level of Service/Case Management Inventory, and to obtain findings on the efficient use of tools. We hypothesize that sparse modeling can identify item combinations with high predictive validity. Using follow-up data on 516 justice-impacted youths (age range = 13-19 years) in Japanese juvenile classification homes, this study obtains area under the curves (AUCs) of 0.71 and 0.72 for seve…
Dynamic developmental risk factors and juvenile risk-need assessments in Japan
The limited value of machine learning approach to improving predictive performance: The Ministry of Justice Case Assessment Tool
When does anger evoke self‐interest and fairness motives? The moderating effects of perceived responsibility for needs
Research has repeatedly demonstrated that anger evokes both self‐interest and fairness motives, but it is unclear what factors determine the evocation of these motives. We examined the idea that the type of relationship, indexed by the perceived responsibility for a partner's needs, moderates the effect of anger on self‐interest and fairness motives by constructing the following hypotheses: Participants will be motivated to protect their self‐int…
The relationships among restraint eating, drive for thinness, and sense of health in Japanese undergraduate females
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The relationships among restraint eating, drive for thinness, and sense of health in Japanese undergraduate females
When does anger evoke self‐interest and fairness motives? The moderating effects of perceived responsibility for needs
Research has repeatedly demonstrated that anger evokes both self‐interest and fairness motives, but it is unclear what factors determine the evocation of these motives. We examined the idea that the type of relationship, indexed by the perceived responsibility for a partner's needs, moderates the effect of anger on self‐interest and fairness motives by constructing the following hypotheses: Participants will be motivated to protect their self‐int…
The limited value of machine learning approach to improving predictive performance: The Ministry of Justice Case Assessment Tool
Selecting Items to Compose a Brief Version of the Youth Level of Service/Case Management Inventory Using Machine Learning, Sparse Modeling
This study aims to briefly compose a well-known tool, Youth Level of Service/Case Management Inventory, and to obtain findings on the efficient use of tools. We hypothesize that sparse modeling can identify item combinations with high predictive validity. Using follow-up data on 516 justice-impacted youths (age range = 13-19 years) in Japanese juvenile classification homes, this study obtains area under the curves (AUCs) of 0.71 and 0.72 for seve…
Dynamic developmental risk factors and juvenile risk-need assessments in Japan
The Added Value of the YLS/CMI Subscales Beyond the Total Score Among Japanese Youth Offenders in Detention
This study examined whether subscales of the Youth Level of Service Case Management Inventory (YLS/CMI) have added value beyond the total score. Including 238 detained Japanese juvenile offenders (ages 16–19), the proportional reduction in mean squared error (PRMSE) method was applied. Most subscales showed added value, except for Attitudes/Orientation. For the younger group, all subscales except Attitudes/Orientation showed added value. For olde…
Psychology (4 works) · Computer Science (3 works) · Medicine (3 works) · Artificial Intelligence (2 works) · Machine learning (2 works) · Poison control (2 works) · Social Psychology (2 works) · Added value (1 works) · Anger (1 works) · Applied Psychology (1 works)