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Volumn 25, Issue , 2013, Pages 85S-102S

How Representative Is the ACTIVE Sample? A Statistical Comparison of the ACTIVE Sample and the HRS Sample

Author keywords

ACTIVE; demographics; nationally representative sample; sample weights; statistical methods

Indexed keywords

ACTIVE; AGED; ARTICLE; COMPARATIVE STUDY; DEMOGRAPHICS; FEMALE; HUMAN; LONGITUDINAL STUDY; MALE; METHODOLOGY; MIDDLE AGED; NATIONALLY REPRESENTATIVE SAMPLE; RANDOMIZED CONTROLLED TRIAL (TOPIC); SAMPLE WEIGHTS; SELECTION BIAS; SOCIOECONOMICS; STATISTICAL DISTRIBUTION; STATISTICAL METHODS; UNITED STATES; VERY ELDERLY;

EID: 84897570199     PISSN: 08982643     EISSN: 15526887     Source Type: Journal    
DOI: 10.1177/0898264313497795     Document Type: Article
Times cited : (7)

References (29)
  • 3
    • 51749124303 scopus 로고    scopus 로고
    • Constructing inverse probability weights for marginal structural models
    • Cole S. R. Hernan M. A. (2008). Constructing inverse probability weights for marginal structural models. American Journal of Epidemiology, 168, 656-664.
    • (2008) American Journal of Epidemiology , vol.168 , pp. 656-664
    • Cole, S.R.1    Hernan, M.A.2
  • 5
    • 34248654674 scopus 로고    scopus 로고
    • Survey design and methodology in the health and retirement study and the Wisconsin longitudinal study
    • In Waite L. J. (Ed.), New York, NY: Population Council.
    • Hauser R. M. Willis R. J. (2005). Survey design and methodology in the health and retirement study and the Wisconsin longitudinal study. In Waite L. J. (Ed.), Aging, health, and public policy: Demographic and economic perspectives (pp. 209-235). New York, NY: Population Council.
    • (2005) Aging, health, and public policy: Demographic and economic perspectives , pp. 209-235
    • Hauser, R.M.1    Willis, R.J.2
  • 11
    • 0000366020 scopus 로고
    • Overview of the health and retirement study
    • Juster T. Suzman R. (1995). Overview of the health and retirement study. Journal of Human Resources, 30, S7-56.
    • (1995) Journal of Human Resources , vol.30 , pp. S7-56
    • Juster, T.1    Suzman, R.2
  • 12
    • 68849097654 scopus 로고    scopus 로고
    • How do educational attainment and gender relate to fluid intelligence, crystallized intelligence, and academic skills at ages 22-90 years?
    • Kaufman A. S. Kaufman J. C. Liu X. Johnson C. K. (2009). How do educational attainment and gender relate to fluid intelligence, crystallized intelligence, and academic skills at ages 22-90 years? Archives of Clinical Neuropsychology, 24, 153-163.
    • (2009) Archives of Clinical Neuropsychology , vol.24 , pp. 153-163
    • Kaufman, A.S.1    Kaufman, J.C.2    Liu, X.3    Johnson, C.K.4
  • 15
    • 85011705235 scopus 로고    scopus 로고
    • Exploratory data mining using CART in the behavioral science
    • In Cooper H. Panter A. (Eds.), Washington, DC: APA Books.
    • McArdle J. J. (2011). Exploratory data mining using CART in the behavioral science. In Cooper H. Panter A. (Eds.), Handbook of methodology in the behavioral sciences (pp. 405-421). Washington, DC: APA Books.
    • (2011) Handbook of methodology in the behavioral sciences , pp. 405-421
    • McArdle, J.J.1
  • 16
    • 84917403429 scopus 로고    scopus 로고
    • Dealing with longitudinal attrition using logistic regression and decision tree analyses
    • In McArdle J. J. Ritschard G. (Eds.), New York, NY: Taylor & Francis.
    • McArdle J. J. (2013). Dealing with longitudinal attrition using logistic regression and decision tree analyses. In McArdle J. J. Ritschard G. (Eds.), Contemporary issues in exploratory data mining in the behavioral sciences (pp. 282-311). New York, NY: Taylor & Francis.
    • (2013) Contemporary issues in exploratory data mining in the behavioral sciences , pp. 282-311
    • McArdle, J.J.1
  • 17
    • 0036370109 scopus 로고    scopus 로고
    • Comparative longitudinal structural analyses of the growth and decline of multiple intellectual abilities over the life span
    • McArdle J. J. Ferrer-Caja E. Hamagami F. Woodcock R. W. (2002). Comparative longitudinal structural analyses of the growth and decline of multiple intellectual abilities over the life span. Developmental Psychology, 38, 115-142.
    • (2002) Developmental Psychology , vol.38 , pp. 115-142
    • McArdle, J.J.1    Ferrer-Caja, E.2    Hamagami, F.3    Woodcock, R.W.4
  • 18
    • 34948905278 scopus 로고    scopus 로고
    • Latent variable analyses of age trends of cognition in the Health and Retirement Study, 1992-2004
    • McArdle J. J. Fisher G. G. Kadlec K. M. (2007). Latent variable analyses of age trends of cognition in the Health and Retirement Study, 1992-2004. Psychology and Aging, 22, 525-545.
    • (2007) Psychology and Aging , vol.22 , pp. 525-545
    • McArdle, J.J.1    Fisher, G.G.2    Kadlec, K.M.3
  • 19
    • 21844508534 scopus 로고
    • Logit and multilevel logit modeling studies of college graduation for 1984-85 freshman student athletes
    • McArdle J. J. Hamagami F. (1994). Logit and multilevel logit modeling studies of college graduation for 1984-85 freshman student athletes. Journal of American Statistical Association, 89, 1107-1123.
    • (1994) Journal of American Statistical Association , vol.89 , pp. 1107-1123
    • McArdle, J.J.1    Hamagami, F.2
  • 20
    • 58749115799 scopus 로고    scopus 로고
    • A latent change score analysis of a randomized clinical trial in reasoning training
    • McArdle J. J. Prindle J. J. (2008). A latent change score analysis of a randomized clinical trial in reasoning training. Psychology and Aging, 23, 702-719.
    • (2008) Psychology and Aging , vol.23 , pp. 702-719
    • McArdle, J.J.1    Prindle, J.J.2
  • 21
    • 0034009792 scopus 로고    scopus 로고
    • The Heckman correction for sample selection and its critique
    • Puhani P. A. (2000). The Heckman correction for sample selection and its critique. Journal of Economic Surveys, 14, 53-68.
    • (2000) Journal of Economic Surveys , vol.14 , pp. 53-68
    • Puhani, P.A.1
  • 22
    • 84973418649 scopus 로고    scopus 로고
    • (ISBN 3-900051-07-0). Vienna, Austria: R Foundation for Statistical Computing. Available from
    • R Core Team. (2013). R: A language and environment for statistical computing (ISBN 3-900051-07-0). Vienna, Austria: R Foundation for Statistical Computing. Available from http://www.R-project.org/
    • (2013) R: A language and environment for statistical computing
  • 24
    • 0027569826 scopus 로고
    • Age difference patterns of psychometric intelligence in adulthood: Generalizability within and across ability domains
    • Schaie K. W. Willis S. L. (1993). Age difference patterns of psychometric intelligence in adulthood: Generalizability within and across ability domains. Psychology and Aging, 8, 44-55.
    • (1993) Psychology and Aging , vol.8 , pp. 44-55
    • Schaie, K.W.1    Willis, S.L.2
  • 25
    • 1642291379 scopus 로고    scopus 로고
    • The incorporation of sample weights into multilevel structural equation models
    • Stapleton L. M. (2002). The incorporation of sample weights into multilevel structural equation models. Structural Equation Modeling, 9, 475-502.
    • (2002) Structural Equation Modeling , vol.9 , pp. 475-502
    • Stapleton, L.M.1
  • 26
    • 72449170109 scopus 로고    scopus 로고
    • An introduction to recursive partitioning: Rationale, application, and characteristics of classification and regression trees, bagging, and random forests
    • Strobl C. Malley J. Tutz G. (2009). An introduction to recursive partitioning: Rationale, application, and characteristics of classification and regression trees, bagging, and random forests. Psychological Methods, 14, 323-348.
    • (2009) Psychological Methods , vol.14 , pp. 323-348
    • Strobl, C.1    Malley, J.2    Tutz, G.3
  • 29
    • 0036905149 scopus 로고    scopus 로고
    • Can longitudinal changes in processing speed explain longitudinal age changes in fluid intelligence?
    • Zimprich D. Martin M. (2002). Can longitudinal changes in processing speed explain longitudinal age changes in fluid intelligence? Psychology and Aging, 17, 690-695.
    • (2002) Psychology and Aging , vol.17 , pp. 690-695
    • Zimprich, D.1    Martin, M.2


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