2013
DOI: 10.1080/13803611.2013.860036
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The principal axis approach to value-added calculation

Abstract: Use policyThe full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-prot purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full D… Show more

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Cited by 3 publications
(3 citation statements)
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References 28 publications
(30 reference statements)
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“…The literature that primarily addressed VA modeling for program evaluation, rather than VAM-A, was also eliminated. In addition, papers primarily addressing or comparing VA models with alternative growth model approaches such as the use of student growth percentiles (Betebenner, 2011) or principal axes (He & Tymms, 2014) were not included. Although it is true that these approaches are also sometimes referred to as “value-added models,” many statistical assumptions differ for these alternative approaches.…”
Section: Methodsmentioning
confidence: 99%
“…The literature that primarily addressed VA modeling for program evaluation, rather than VAM-A, was also eliminated. In addition, papers primarily addressing or comparing VA models with alternative growth model approaches such as the use of student growth percentiles (Betebenner, 2011) or principal axes (He & Tymms, 2014) were not included. Although it is true that these approaches are also sometimes referred to as “value-added models,” many statistical assumptions differ for these alternative approaches.…”
Section: Methodsmentioning
confidence: 99%
“…The impact of these ‘other factors’ specifically relates to the effect that, for example, socioeconomic circumstances and student prior attainment have on value-added test scores. As asserted by He and Tymms (2014: 26): ‘Test scores reflect the combined influences of a number of factors such as the learning environment in the school, the socioeconomic background of the students, the student’s attitudes towards study, the academic achievement attained before entering the school, and many others’.…”
Section: Introductionmentioning
confidence: 99%
“…In this way, differences in achievement that already exist among students when they enter a school become increasingly greater as they progress through school. Studies [see 32,70] that frequently assess students' gain in learning in relation to prior attainment have clearly shown this. Over the years, literature has it that achievement scores are deemed only to mirror the current attainment of a student in relation to the time of testing and do not give a complete depiction of the influence of other factors on the learning continuum such as the school, teachers, and resources on the student's performance throughout the study period in the school [32].…”
Section: Discussionmentioning
confidence: 96%