Show simple item record

dc.contributor.supervisor Jiang, Depeng (Community Health Sciences) en_US
dc.contributor.author Chen, Xuan
dc.date.accessioned 2018-07-25T19:35:10Z
dc.date.available 2018-07-25T19:35:10Z
dc.date.issued 2018 en_US
dc.date.submitted 2018-07-19T15:15:06Z en
dc.identifier.uri http://hdl.handle.net/1993/33180
dc.description.abstract Cluster sampling designs are frequently used in mental health surveys and prevention studies. The overall purpose of this thesis research is to investigate the impact of cluster sampling on scale psychometric properties and the psychometrics of a mental health assessment tool in Canadian culture. We conducted the simulation study to examine the impact on scale psychometrics of ignoring the non-independence of subjects within cluster. Results indicated that: (a) as the dependence among observations (i.e., ICC) increases, the model goodness of fit become worse or even not acceptable if we specified a single-level model for a multilevel data; (b) Single-level reliability estimates would consistently estimate reliability at both levels if the true reliability at both levels was the same or ICC is low; (c) Single-level reliability estimates would fall in the interval of true reliability at individual level and the true reliability at the school level. We also used data from Manitoba provincial Grade 5 mental health survey to examine the psychometrics of Strength and Difficulty Questionnaire (SDQ) as well as the influence of cluster sampling. Results indicate that the 5 factor structures identified in other cultures fit the Canadian sample well and the estimates of psychometrics (e.g., reliabilities) fell into reasonable range if we use the single level model. The study provides guidance for estimation of psychometrics with cluster sampling. Empirical analyses of psychometric properties of the Canadian SDQ provide supports for the usefulness of the SDQ as a screening tool for mental health of children and youth in the general Canadian population. en_US
dc.subject Cluster sampling en_US
dc.subject Multilevel CFA en_US
dc.subject Scale psychometrics en_US
dc.title Impact of cluster sampling on scale psychometrics: simulation study and application to mental health survey en_US
dc.degree.discipline Community Health Sciences en_US
dc.contributor.examiningcommittee Lix, Lisa (Community Health Sciences) Li, Johnson (Psychology) en_US
dc.degree.level Master of Science (M.Sc.) en_US
dc.description.note October 2018 en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

View Statistics