2011
DOI: 10.1177/1533317511414553
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Psychometric Evaluation of a Proposed Alzheimer’s Aggression Scale

Abstract: The purpose of this study was to evaluate a popular measure of Alzheimer's disease (AD) memory and behavior problems and to determine whether its aggressive behavior items coalesced empirically as a subscale to form a psychometrically viable AD aggression measure for clinicians. Data from self-report questionnaires were examined from 419 informal AD caregivers in the southern United States. Principal axis factoring revealed a unidimensional solution with robust item loadings on the single factor. Three forms o… Show more

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Cited by 2 publications
(1 citation statement)
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References 89 publications
(317 reference statements)
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“… Source. Algase et al, 2004 1 , Baumgarten et al, 1990 2 , Bryan et al, 2005 3 , Carpenter et al, 2009 4 , Chua et al, 2016 5 , Clare et al, 2014 6 , Clarke et al, 2007 7 , Cockerill et al, 2006 8 , Cummings et al, 1994 9 , Dennehy et al, 2013 10 , Dura et al, 1990 11 , Greene et al, 1982 12 , Griffiths et al, 2020 13 , Hendricks et al, 20191 14 , Ippen et al, 1999 15 , Karlawish et al, 2001 16 , Karlawish et al, 2008 17 , Kasper et al, 2009 18 , Kaufer et al, 2000 19 , Kavirajan et al, 2009 20 , Kuhn et al, 2005 21 , Lindauer et al, 2017 22 , Little & Wilks, 2011 23 , Logsdon et al, 1999 24 , Logsdon et al, 2002 25 , Martin et al, 2019 26 , Menne et al, 2008 27 , Monahan et al, 2012 28 , Mulhern et al, 2013 29 , Mulhern et al, 2013 30 , Naglie et al, 2006 31 , O’Rourke et al, 2007 32 , Piggott et al, 2017 33 , Reid et al, 2007 34 , Reilly et al, 2006 35 , Roth et al, 2003 36 , Sadak et al, 2015 37 , Sayegh & Knight, 2014 38 , Selai et al, 2001 39 , Strauss & Sperry, 2002 40 , Toye et al, 2014 41 , Vogel et al, 2006 42 . Note. AUC = area under the curve; CFA = confirmatory factor analysis; CFI = confirmatory fit index; EFA = exploratory factor analysis; ES = effect size; ICC = intraclass correlation coefficient; NS = statistical reporting not sufficient; PCA = principal component analysis; RMSEA = root mean square error of approximation.…”
Section: Resultsmentioning
confidence: 99%
“… Source. Algase et al, 2004 1 , Baumgarten et al, 1990 2 , Bryan et al, 2005 3 , Carpenter et al, 2009 4 , Chua et al, 2016 5 , Clare et al, 2014 6 , Clarke et al, 2007 7 , Cockerill et al, 2006 8 , Cummings et al, 1994 9 , Dennehy et al, 2013 10 , Dura et al, 1990 11 , Greene et al, 1982 12 , Griffiths et al, 2020 13 , Hendricks et al, 20191 14 , Ippen et al, 1999 15 , Karlawish et al, 2001 16 , Karlawish et al, 2008 17 , Kasper et al, 2009 18 , Kaufer et al, 2000 19 , Kavirajan et al, 2009 20 , Kuhn et al, 2005 21 , Lindauer et al, 2017 22 , Little & Wilks, 2011 23 , Logsdon et al, 1999 24 , Logsdon et al, 2002 25 , Martin et al, 2019 26 , Menne et al, 2008 27 , Monahan et al, 2012 28 , Mulhern et al, 2013 29 , Mulhern et al, 2013 30 , Naglie et al, 2006 31 , O’Rourke et al, 2007 32 , Piggott et al, 2017 33 , Reid et al, 2007 34 , Reilly et al, 2006 35 , Roth et al, 2003 36 , Sadak et al, 2015 37 , Sayegh & Knight, 2014 38 , Selai et al, 2001 39 , Strauss & Sperry, 2002 40 , Toye et al, 2014 41 , Vogel et al, 2006 42 . Note. AUC = area under the curve; CFA = confirmatory factor analysis; CFI = confirmatory fit index; EFA = exploratory factor analysis; ES = effect size; ICC = intraclass correlation coefficient; NS = statistical reporting not sufficient; PCA = principal component analysis; RMSEA = root mean square error of approximation.…”
Section: Resultsmentioning
confidence: 99%