Research Topics
| John McArdleSummaryAffiliation: University of Southern California Country: USA Publications
Research Grants
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Detail Information
Publications
Latent variable analyses of age trends of cognition in the Health and Retirement Study, 1992-2004John J McArdle
National Growth and Change Study Laboratory, Department of Psychology, University of Southern California, Los Angeles, CA 90089, USA
Psychol Aging 22:525-45. 2007..Latent curve models of episodic memory were based on age at testing and showed substantial age differences and age changes, including impacts due to retesting as well as several time-invariant and time-varying predictors...
Modeling life-span growth curves of cognition using longitudinal data with multiple samples and changing scales of measurementJohn J McArdle
Department of Psychology, University of Southern California, 3620 South McClintock Avenue, SGM 501, Los Angeles, CA 90089 1061, USA
Psychol Methods 14:126-49. 2009..The resulting longitudinal invariant Rasch test analyses lead to a few new methodological suggestions for dealing with repeated constructs based on changing measurements in developmental studies...
Latent curve analyses of longitudinal twin data using a mixed-effects biometric approachJohn J McArdle
Department of Psychology, University of Southern California, Los Angeles, 90089, USA
Twin Res Hum Genet 9:343-59. 2006..Natural extensions of this mixed-effects longitudinal approach include more intensive studies of the available data, the analysis of categorical longitudinal data, and mixtures of latent growth-survival/frailty models...
A latent change score analysis of a randomized clinical trial in reasoning trainingJohn J McArdle
Department of Psychology, University of Southern California, Los Angeles, CA 90089, USA
Psychol Aging 23:702-19. 2008..Addition of demographic covariates and latent mixture analysis of the trained group led to further results. The uses of contemporary SEMs with experimental data are discussed...
Longitudinal models of growth and survival applied to the early detection of Alzheimer's diseaseJohn J McArdle
Department of Psychology, University of Southern California, Los Angeles 90089, USA
J Geriatr Psychiatry Neurol 18:234-41. 2005..The accuracy and reliability of this approach is considered for a better understanding of the developmental course of AD in these data, including the potential removal of biases due to subject selection...
Latent variable modeling of differences and changes with longitudinal dataJohn J McArdle
Department of Psychology, University of Southern California, Los Angeles, California 90089 1061, USA
Annu Rev Psychol 60:577-605. 2009..We then present several classic SEMs based on the inclusion of invariant common factors and explain why these are so important. This leads to newer SEMs based on latent change scores, and we explain why these are useful...
Genetic variance in processing speed drives variation in aging of spatial and memory abilitiesDeborah Finkel
Department of Psychology, Indiana University Southeast, New Albany, IN 47150, USA
Dev Psychol 45:820-34. 2009..Model-fitting indicated that genetic variance for processing speed was a leading indicator of variation in age changes for spatial and memory ability, providing additional support for processing speed theories of cognitive aging...
Age changes in processing speed as a leading indicator of cognitive agingDeborah Finkel
Department of Psychology, Indiana University Southeast, 5201 Grant Line Road, New Albany, IN 47150, USA
Psychol Aging 22:558-68. 2007..The results suggest that, as predicted by the processing speed theory of cognitive aging, processing speed is a leading indicator of age changes in memory and spatial ability, but not verbal ability...
Quantitative genetic analysis of latent growth curve models of cognitive abilities in adulthoodChandra A Reynolds
Department of Psychology, University of California, 1344 Olmstead Hall, Riverside, CA 92521, USA
Dev Psychol 41:3-16. 2005..The present findings provide support for theories of the increasing influence of the environment with age on cognitive abilities...
Multivariate modeling of age and retest in longitudinal studies of cognitive abilitiesEmilio Ferrer
Department of Psychology, University of California, Davis, CA 95616 8686, USA
Psychol Aging 20:412-22. 2005..The authors suggest that although the changes in memory and processing speed may be correlated over time, age alone does not capture such a covariation...
Mixed-effects variance components models for biometric family analysesJohn J McArdle
Department of Psychology, University of Southern California, Los Angeles, CA 90089, USA
Behav Genet 35:631-52. 2005....
Depression as a risk factor or prodromal feature for dementia? Findings in a population-based sample of Swedish twinsJessica A Brommelhoff
Department of Psychology, University of Southern California, Los Angeles, CA 90089 1061, USA
Psychol Aging 24:373-84. 2009..These findings suggest that after partially controlling for genetic influences, late-life depression for many individuals may be a prodrome rather than a risk factor for dementia...
A biometric latent curve analysis of memory decline in older men of the NAS-NRC twin registryJohn J McArdle
University of Southern California, Los Angeles, CA, USA
Behav Genet 39:472-95. 2009....
Longitudinal models of developmental dynamics between reading and cognition from childhood to adolescenceEmilio Ferrer
Department of Psychology, University of California, Davis, CA 95616 8686, USA
Dev Psychol 43:1460-73. 2007....
Comparative longitudinal structural analyses of the growth and decline of multiple intellectual abilities over the life spanJohn J McArdle
Department of Psychology, University of Virginia, Charlottesville 22904 4400, USA
Dev Psychol 38:115-42. 2002..In all comparisons, any model of cognitive age changes with only a single g factor yields an overly simplistic view of growth and change over age...
Structural equation models for evaluating dynamic concepts within longitudinal twin analysesJohn J McArdle
Department of Psychology, University of Virginia, Charlottesville, VA, USA
Behav Genet 33:137-59. 2003..In the discussion we consider our limitations and present suggestions for future dynamic-genetic research...
A structural factor analysis of vocabulary knowledge and relations to ageRyan P Bowles
Department of Psychology, University of Virginia, PO Box 400400, Charlottesville, VA 22904 4400, USA
J Gerontol B Psychol Sci Soc Sci 60:P234-41. 2005..Cohort effects may explain some of the differential age trend...
Children of persons with Alzheimer disease: what does the future hold?Lissy Jarvik
Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA 90095, USA
Alzheimer Dis Assoc Disord 22:6-20. 2008..We examine the state of knowledge with respect to risk and protective factors for AD and recommend a research agenda with special emphasis on AD offspring...
An experimental analysis of dynamic hypotheses about cognitive abilities and achievement from childhood to early adulthoodEmilio Ferrer
Department of Psychology, University of California, Davis, CA, USA
Dev Psychol 40:935-52. 2004..The findings of this study suggest that the dynamics of cognitive abilities and academic achievement follow a more complex pattern than that specified by Cattell's investment hypothesis...
Structural modeling of dynamic changes in memory and brain structure using longitudinal data from the normative aging studyJohn J McArdle
Department of Psychology, PO Box 400400, University of Virginia, Charlottesville, VA 22906 4400, USA
J Gerontol B Psychol Sci Soc Sci 59:P294-304. 2004....
Neuropsychological measures in normal individuals that predict subsequent cognitive declineDeborah Blacker
Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, USA
Arch Neurol 64:862-71. 2007..To examine neuropsychological measures among normal individuals that predict time to subsequent cognitive decline...
Latent growth curve analyses of accelerating decline in cognitive abilities in late adulthoodDeborah Finkel
School of Social Sciences, Indiana University Southeast, New Albany 47150 6405, USA
Dev Psychol 39:535-50. 2003..Gender differences were found only in mean level, not in rate of decline...
Longitudinal change in cognitive performance among individuals with mild cognitive impairmentMarilyn Albert
Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
Neuropsychology 21:158-69. 2007..Individuals with an APOE epsilon4 allele scored lower on the episodic memory and executive function factors at baseline...
The longitudinal relationship between processing speed and cognitive ability: genetic and environmental influencesDeborah Finkel
School of Social Sciences, Indiana University Southeast, 4201 Grant Line Road, New Albany, IN 47150, USA
Behav Genet 35:535-49. 2005..For measures of fluid abilities, it is not the linear age changes but the accelerating age changes in cognition that share genetic variance with processing speed...
Cohort differences in trajectories of cognitive agingDeborah Finkel
School of Social Sciences, Indiana University Southeast, New Albany, IN 47150
J Gerontol B Psychol Sci Soc Sci 62:P286-94. 2007..Trajectories of change with age in these four domains were fundamentally the same in middle-old age for individuals born during the first half of the 20th century...
Characterizing time in longitudinal trauma researchDaniel W King
Boston University and VA Boston Healthcare System, USA
J Trauma Stress 19:205-15. 2006..Patterns in timing of assessments, alternative time structures, and the treatment of time as an outcome are discussed and illustrated using trauma data...
Latent difference score approach to longitudinal trauma researchLynda A King
Department of Psychiatry, Boston University and VA Boston Healthcare System, Boston, MA, USA
J Trauma Stress 19:771-85. 2006..e., age of child-adolescent at time of trauma and ongoing family strains) on PTSD symptom severity over time...
Prevalence of cognitive impairment without dementia in the United StatesBrenda L Plassman
Duke University Medical Center, Durham, North Carolina 27701, USA
Ann Intern Med 148:427-34. 2008..Cognitive impairment without dementia is associated with increased risk for disability, increased health care costs, and progression to dementia. There are no population-based prevalence estimates of this condition in the United States...
Research Grants
- GROWTH CURVE OF ADULT INTELLIGENCE FROM CONVERGENCE DATAJohn McArdle; Fiscal Year: 2000..These new results will synthesize all past research on the WAIS and provide valuable information for further research on the growth and decline of intellectual abilities across the entire adult life-span. ..
- DYNAMIC GROWTH & CHANGE IN ADULT INTELLECTUAL ABILITIESJohn McArdle; Fiscal Year: 2004..abstract_text> ..
- Assessing and Improving Cognitive Measures in the HRSJohn McArdle; Fiscal Year: 2007..abstract_text> ..
- GROWTH CURVES OF ADULT INTELLIGENCE BY TIME-LAG TESTINGJohn McArdle; Fiscal Year: 1993....
- GROWTH CURVES OF ADULT INTELLIGENCEJohn McArdle; Fiscal Year: 1991..In a broad sense, we will adapt contemporary methods from human physical growth and epidemiology for use in psychological aging research...
