A psychometric appraisal of the DREEM

• Published in: BMC medical education 2012-01, Vol.12 (1), p.2-2, Article 2
• Main Authors: Hammond, Sean M, O'Rourke, Margaret, Kelly, Martina, Bennett, Deirdre, O'Flynn, Siun
• Format: Article
• Language: English
• Subjects: Adolescent; Adult; Core curriculum; Curriculum; Curriculum evaluation; Data Analysis; Education; Education, Medical, Undergraduate - methods; Educational Environment; Educational Measurement; Environment; Evaluation; Examinations; Factor Analysis; Factor Analysis, Statistical; Female; Humans; Ireland; Learning; Male; Management; Medical education; Methods; Psychometrics - methods; Quality Control; School environment; Schools; Student Attitudes; Student Experience; Students; Students, Medical - statistics & numerical data; Studies; Surveys and Questionnaires; Teaching hospitals; University colleges; Validity; Young Adult
• ISSN: 1472-6920; 1472-6920
• DOI: 10.1186/1472-6920-12-2

The quality of the Educational environment is a key determinant of a student centred curriculum. Evaluation of the educational environment is an important component of programme appraisal. In order to conduct such evaluation use of a comprehensive, valid and reliable instrument is essential. One of most widely used contemporary tools for evaluation of the learning environment is the Dundee Ready Education Environment Measure (DREEM). Apart from the initial psychometric evaluation of the DREEM, few published studies report its psychometric properties in detail. The aim of this study was to examine the psychometric quality of the DREEM measure in the context of medical education in Ireland and to explore the construct validity of the device. 239 final year medical students were asked to complete the DREEM inventory. Anonymised responses were entered into a database. Data analysis was performed using PASW 18 and confirmatory factor analysis performed. Whilst the total DREEM score had an acceptable level of internal consistency (alpha 0.89), subscale analysis shows that two subscales had sub-optimal internal consistency. Multiple group confirmatory factor analysis (using Fleming's indices) shows an overall fit of 0.76, representing a weak but acceptable level of fit. 17 of the 50 items manifest fit indices less than 0.70. We sought the best fitting oblique solution to the 5-subscale structure, which showed large correlations, suggesting that the independence of the separate scales is open to question. There has perhaps been an inadequate focus on establishing and maintaining the psychometric credentials of the DREEM. The present study highlights two concerns. Firstly, the internal consistency of the 5 scales is quite variable and, in our sample, appears rather low. Secondly, the construct validity is not well supported. We suggest that users of the DREEM will provide basic psychometric appraisal of the device in future published reports.