R J Turner
Biographic Data
| ID | 8850786 |
|---|---|
| NAME | R J Turner |
| GIVEN NAMES | R J |
| FAMILY NAME | Turner |
| SIGNATURE | TURNER R J |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1988 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 0 |
Multiple Group Analysis in Multilevel Data Across Within-Level Groups
The purpose of this two-part study is to evaluate methods for multiple group analysis when the comparison group is at the within level with multilevel data, using a multilevel factor mixture model (ML FMM) and a multilevel multiple-indicators multiple-causes (ML MIMIC) model. The performance of these methods was evaluated integrally by a series of procedures testing weak and strong invariance models and the latent group mean differences testing a…
The Parent-Adult-Child Projective Drawing Task
This article describes the initial development of the PAC-D, a projective drawing technique designed to elicit and assess ego state information from therapy clients. A second projective method, the Transactional Analysis Sentence Completion form (TASC) is also presented for use with the PAC-D. The author argues that projective methods have advantages over other techniques when probing for TA-relevant dynamics, and offers three case examples to il…
No prominent works on this page.
The Parent-Adult-Child Projective Drawing Task
This article describes the initial development of the PAC-D, a projective drawing technique designed to elicit and assess ego state information from therapy clients. A second projective method, the Transactional Analysis Sentence Completion form (TASC) is also presented for use with the PAC-D. The author argues that projective methods have advantages over other techniques when probing for TA-relevant dynamics, and offers three case examples to il…
Multiple Group Analysis in Multilevel Data Across Within-Level Groups
The purpose of this two-part study is to evaluate methods for multiple group analysis when the comparison group is at the within level with multilevel data, using a multilevel factor mixture model (ML FMM) and a multilevel multiple-indicators multiple-causes (ML MIMIC) model. The performance of these methods was evaluated integrally by a series of procedures testing weak and strong invariance models and the latent group mean differences testing a…
Artificial Intelligence (2 works) · Computer Science (2 works) · Agricultural engineering (1 work) · Agriculture (1 work) · Agronomic Practices and Intercropping Systems (1 work) · Artificial Intelligence (1 work) · Biology (1 work) · Child Therapy and Development (1 work) · Cognitive psychology (1 work) · Control (management) (1 work)