John J McArdle

Author PubWeight™ 44.23‹?›

Top papers

Rank Title Journal Year PubWeight™‹?›
1 Prevalence of cognitive impairment without dementia in the United States. Ann Intern Med 2008 5.34
2 Neuropsychological measures in normal individuals that predict subsequent cognitive decline. Arch Neurol 2007 2.77
3 Quantitative genetic analysis of latent growth curve models of cognitive abilities in adulthood. Dev Psychol 2005 1.79
4 Depression as a risk factor or prodromal feature for dementia? Findings in a population-based sample of Swedish twins. Psychol Aging 2009 1.70
5 An experimental analysis of dynamic hypotheses about cognitive abilities and achievement from childhood to early adulthood. Dev Psychol 2004 1.63
6 Age changes in processing speed as a leading indicator of cognitive aging. Psychol Aging 2007 1.59
7 Longitudinal change in cognitive performance among individuals with mild cognitive impairment. Neuropsychology 2007 1.49
8 Multivariate modeling of age and retest in longitudinal studies of cognitive abilities. Psychol Aging 2005 1.45
9 Financial Decision Making and Cognition in a Family Context. Econ J (London) 2010 1.42
10 Latent growth curve analyses of accelerating decline in cognitive abilities in late adulthood. Dev Psychol 2003 1.40
11 Latent difference score approach to longitudinal trauma research. J Trauma Stress 2006 1.38
12 Longitudinal models of developmental dynamics between reading and cognition from childhood to adolescence. Dev Psychol 2007 1.36
13 Do changes in lifestyle engagement moderate cognitive decline in normal aging? Evidence from the Victoria Longitudinal Study. Neuropsychology 2011 1.32
14 The longitudinal relationship between processing speed and cognitive ability: genetic and environmental influences. Behav Genet 2005 1.15
15 Recent Changes Leading to Subsequent Changes: Extensions of Multivariate Latent Difference Score Models. Struct Equ Modeling 2012 1.15
16 Tracking cognition-health changes from 55 to 95 years of age. J Gerontol B Psychol Sci Soc Sci 2010 1.10
17 Cohort differences in trajectories of cognitive aging. J Gerontol B Psychol Sci Soc Sci 2007 1.09
18 Attrition of older adults in longitudinal surveys: detection and correction of sample selection bias using multigenerational data. J Gerontol B Psychol Sci Soc Sci 2006 1.05
19 Investigating Ceiling Effects in Longitudinal Data Analysis. Multivariate Behav Res 2009 1.04
20 A structural analysis of health outcomes after spinal cord injury. J Spinal Cord Med 2010 1.03
21 Genetic variance in processing speed drives variation in aging of spatial and memory abilities. Dev Psychol 2009 1.00
22 Characterizing time in longitudinal trauma research. J Trauma Stress 2006 0.97
23 Children of persons with Alzheimer disease: what does the future hold? Alzheimer Dis Assoc Disord 2008 0.97
24 A structural factor analysis of vocabulary knowledge and relations to age. J Gerontol B Psychol Sci Soc Sci 2005 0.96
25 The National Center on Indigenous Hawaiian Behavioral Health study of prevalence of psychiatric disorders in native Hawaiian adolescents. J Am Acad Child Adolesc Psychiatry 2006 0.94
26 A latent variable structural path model of health behaviors after spinal cord injury. J Spinal Cord Med 2009 0.92
27 Parental education and late-life dementia in the United States. J Geriatr Psychiatry Neurol 2008 0.90
28 The Project TALENT Twin and Sibling Study. Twin Res Hum Genet 2012 0.87
29 Potential causal relationship between depressive symptoms and academic achievement in the Hawaiian high schools health survey using contemporary longitudinal latent variable change models. Dev Psychol 2012 0.86
30 Structural equation model trees. Psychol Methods 2012 0.86
31 Memory and depressive symptoms are dynamically linked among married couples: longitudinal evidence from the AHEAD study. Dev Psychol 2009 0.86
32 The paired t-test as a simple latent change score model. Front Psychol 2013 0.83
33 Factor structure and predictive validity of somatic and nonsomatic symptoms from the patient health questionnaire-9: a longitudinal study after spinal cord injury. Arch Phys Med Rehabil 2010 0.80
34 How representative is the ACTIVE sample? A statistical comparison of the ACTIVE sample and the HRS sample. J Aging Health 2013 0.80
35 Rationale and Applications of Survival Tree and Survival Ensemble Methods. Psychometrika 2014 0.78