Unknown

Dataset Information

0

Perspectives Emerged from Students and Supervisory Staff Interaction in Drug Use Prevention: A Q Methodology Investigation.


ABSTRACT: This study aims to identify and describe the patterns of shared perspectives of students and supervisory staff associated with their interaction in drug use prevention. We applied the Q methodology to cluster participants into groups according to the similarities of their Q sorts. A total of 31 pairs of students and their supervisory staff participated in the study to rank the designed Q statements. The Q factor analysis for supervisory staff revealed a five-factor solution that accounted for 58% of the total variance. Another five-factor solution for the students explained 49% of the total variance. One similarity between the groups was the need to enhance the involvement of significant others to help the students quit drugs. A major identified difference between the groups was that whereas the students highlighted the importance of health consequences of drug use in helping them stop use, the supervisory staff did not. The elucidation of similarities and differences between supervisory staff and students could offer more insightful strategies of preventing the drug use.

SUBMITTER: Huang CM 

PROVIDER: S-EPMC7432898 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature

altmetric image

Publications

Perspectives Emerged from Students and Supervisory Staff Interaction in Drug Use Prevention: A Q Methodology Investigation.

Huang Chiu-Mieh CM   Liao Jung-Yu JY   Hsu Hsiao-Pei HP   Lin Cheng-Yu CY   Guo Jong-Long JL  

International journal of environmental research and public health 20200804 15


This study aims to identify and describe the patterns of shared perspectives of students and supervisory staff associated with their interaction in drug use prevention. We applied the Q methodology to cluster participants into groups according to the similarities of their Q sorts. A total of 31 pairs of students and their supervisory staff participated in the study to rank the designed Q statements. The Q factor analysis for supervisory staff revealed a five-factor solution that accounted for 58  ...[more]

Similar Datasets

| S-EPMC9161183 | biostudies-literature
| S-EPMC8495721 | biostudies-literature
| S-EPMC11300600 | biostudies-literature
| S-EPMC9412872 | biostudies-literature
| S-EPMC8822422 | biostudies-literature
| S-EPMC8078749 | biostudies-literature
| S-EPMC8845398 | biostudies-literature
| S-EPMC3898223 | biostudies-literature
| S-EPMC2729325 | biostudies-literature
| S-EPMC4155099 | biostudies-literature