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ERIC Number: ED522817
Record Type: Non-Journal
Publication Date: 2011-Aug-15
Pages: 25
Abstractor: As Provided
Reference Count: N/A
Investigating Self Assessment Using Dual Scaling
McDonald, Betty
Online Submission
This paper investigates self assessment using dual scaling which is a descriptive, optimal, non linear multidimensional and multivariate method that may be used to analyze nonlinear multivariate data "very effectively and exhaustively". Self assessment was defined as "the involvement of students in identifying standards and/or criteria to apply to their work and making judgements about the extent to which they have met these criteria and standards". The participants for the study comprised 515 high school students (approximately aged 14-16 years old), representing more than a quarter (25.2%) of the school leaving cohort under study. Two hundred and thirty three were males. All participants were engaged in the same programme of studies. Dual scaling accounted for individual differences instead of averaging out responses and facilitated the examination and judgement of unexpected "attitude" categories. The effect of individual differences in a study of this kind is important because fundamental variations among and between individuals are often obscured by averaging. Observations have implications for research where individual differences are important. (Contains 1 table, 1 figure, and a bibliography.)
Publication Type: Reports - Research
Education Level: Elementary Secondary Education; High Schools; Secondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A