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Volumn 50, Issue 4, 2015, Pages 383-397

A Nonparametric, Multiple Imputation-Based Method for the Retrospective Integration of Data Sets

Author keywords

[No Author keywords available]

Indexed keywords

ADOLESCENT; ADULT; BEHAVIORAL RESEARCH; CHILD; HUMAN; NONPARAMETRIC TEST; PROCEDURES; PSYCHOMETRY; REPRODUCIBILITY; RETROSPECTIVE STUDY; YOUNG ADULT;

EID: 84938353753     PISSN: 00273171     EISSN: None     Source Type: Journal    
DOI: 10.1080/00273171.2015.1022641     Document Type: Article
Times cited : (12)

References (38)
  • 1
    • 0001275824 scopus 로고
    • From clinical research to secondary prevention: International collaboration in the development of the Alcohol Use Disorders Identification Test (AUDIT)
    • T.F.Babor,, & M.Grant, (1989). From clinical research to secondary prevention: International collaboration in the development of the Alcohol Use Disorders Identification Test (AUDIT). Alcohol Health & Research World, 13, 371–374.
    • (1989) Alcohol Health & Research World , vol.13 , pp. 371-374
    • Babor, T.F.1    Grant, M.2
  • 3
    • 79251641521 scopus 로고    scopus 로고
    • The harmonization of longitudinal data: A case study using data from cohort studies in the Netherlands and the United Kingdom
    • P.A.Bath,, D.Deeg,, & J.Poppelaars, (2010). The harmonization of longitudinal data: A case study using data from cohort studies in the Netherlands and the United Kingdom. Aging & Society, 30, 1419–1437. doi: 10.1017/S0144686X1000070X
    • (2010) Aging & Society , vol.30 , pp. 1419-1437
    • Bath, P.A.1    Deeg, D.2    Poppelaars, J.3
  • 4
    • 66349091570 scopus 로고    scopus 로고
    • Psychometric approaches for developing commensurate measures across independent studies: Traditional and new models
    • D.J.Bauer,, & A.M.Hussong, (2009). Psychometric approaches for developing commensurate measures across independent studies: Traditional and new models. Psychological Methods, 14, 101–125. doi: 10.1037/a0015583
    • (2009) Psychological Methods , vol.14 , pp. 101-125
    • Bauer, D.J.1    Hussong, A.M.2
  • 5
    • 54049109688 scopus 로고    scopus 로고
    • What improves with increased missing data imputations?
    • T.E.Bodner, (2008). What improves with increased missing data imputations? Structural Equation Modeling, 15, 651–675. doi: 10.1080/10705510802339072
    • (2008) Structural Equation Modeling , vol.15 , pp. 651-675
    • Bodner, T.E.1
  • 8
    • 77958547578 scopus 로고    scopus 로고
    • Multiple imputation for missing data via sequential regression trees
    • L.F.Burgette,, & J.P.Reiter, (2010). Multiple imputation for missing data via sequential regression trees. American Journal of Epidemiology, 172, 1070–1076. doi: 10.1093/aje/kwq260
    • (2010) American Journal of Epidemiology , vol.172 , pp. 1070-1076
    • Burgette, L.F.1    Reiter, J.P.2
  • 11
    • 0035755636 scopus 로고    scopus 로고
    • A comparison of inclusive and restrictive strategies in modern missing-data procedures
    • L.M.Collins,, J.L.Schafer,, & C.M.Kam, (2001). A comparison of inclusive and restrictive strategies in modern missing-data procedures. Psychological Methods, 6, 330–351. doi: 10.1037/1082-989X.6.4.330
    • (2001) Psychological Methods , vol.6 , pp. 330-351
    • Collins, L.M.1    Schafer, J.L.2    Kam, C.M.3
  • 12
    • 66349113990 scopus 로고    scopus 로고
    • The relative benefits of meta-analysis conducted with individual participant data versus aggregated data
    • H.Cooper,, & E.A.Patall, (2009). The relative benefits of meta-analysis conducted with individual participant data versus aggregated data. Psychological Methods, 14, 165–176. doi: 10.1037/a0015565
    • (2009) Psychological Methods , vol.14 , pp. 165-176
    • Cooper, H.1    Patall, E.A.2
  • 13
    • 0029750722 scopus 로고    scopus 로고
    • The Great Smoky Mountains Study of Youth: Goals, design, methods, and the prevalence of DSM-III-R disorders
    • E.J.Costello,, A.Angold,, B.J.Burns,, D.K.Stangl,, D.L.Tweed,, A.Erkanli,, & C.M.Worthman, (1996). The Great Smoky Mountains Study of Youth: Goals, design, methods, and the prevalence of DSM-III-R disorders. Archives of General Psychiatry, 53, 1129–1136. doi: 10.1001/archpsyc.1996.01830120067012
    • (1996) Archives of General Psychiatry , vol.53 , pp. 1129-1136
    • Costello, E.J.1    Angold, A.2    Burns, B.J.3    Stangl, D.K.4    Tweed, D.L.5    Erkanli, A.6    Worthman, C.M.7
  • 14
    • 0034559859 scopus 로고    scopus 로고
    • An estimate of the covariance between variables which are not jointly observed
    • R.Cudeck, (2000). An estimate of the covariance between variables which are not jointly observed. Psychometrika, 65, 539–546. doi: 10.1007/BF02296344
    • (2000) Psychometrika , vol.65 , pp. 539-546
    • Cudeck, R.1
  • 16
    • 42049120449 scopus 로고    scopus 로고
    • Pooling data from multiple prospective studies: The role of item response theory in integrative analysis
    • P.J.Curran,, A.M.Hussong,, L.Cai,, W.Huang,, L.Chassin,, K.J.Sher,, & R.A.Zucker, (2008). Pooling data from multiple prospective studies: The role of item response theory in integrative analysis. Developmental Psychology, 44, 365–380. doi: 10.1037/0012-1649.44.2.365
    • (2008) Developmental Psychology , vol.44 , pp. 365-380
    • Curran, P.J.1    Hussong, A.M.2    Cai, L.3    Huang, W.4    Chassin, L.5    Sher, K.J.6    Zucker, R.A.7
  • 17
    • 66349089005 scopus 로고    scopus 로고
    • Integrative data analysis: The simultaneous analysis of multiple data sets
    • P.J.Curran,, & A.M.Hussong, (2009). Integrative data analysis: The simultaneous analysis of multiple data sets. Psychological Methods, 14, 81–100. doi: 10.1037/a0015914
    • (2009) Psychological Methods , vol.14 , pp. 81-100
    • Curran, P.J.1    Hussong, A.M.2
  • 18
    • 84870230938 scopus 로고    scopus 로고
    • The impact of gene-environment interaction on alcohol use disorders
    • D.M.Dick,, & K.S.Kendler, (2012). The impact of gene-environment interaction on alcohol use disorders. Alcohol Research: Current Reviews, 34, 318–324.
    • (2012) Alcohol Research: Current Reviews , vol.34 , pp. 318-324
    • Dick, D.M.1    Kendler, K.S.2
  • 19
    • 0025615417 scopus 로고
    • Mechanisms in the cycle of violence
    • K.A.Dodge,, J.E.Bates,, & G.S.Pettit, (1990). Mechanisms in the cycle of violence. Science, 250, 1678–1683. doi: 10.1126/science.2270481
    • (1990) Science , vol.250 , pp. 1678-1683
    • Dodge, K.A.1    Bates, J.E.2    Pettit, G.S.3
  • 22
    • 84857244266 scopus 로고    scopus 로고
    • A comparison of item-level and scale-level multiple imputation for questionnaire batteries
    • A.C.Gottschall,, S.G.West,, & C.K.Enders, (2012). A comparison of item-level and scale-level multiple imputation for questionnaire batteries. Multivariate Behavioral Research, 47, 1–25. doi: 10.1080/00273171.2012.640589
    • (2012) Multivariate Behavioral Research , vol.47 , pp. 1-25
    • Gottschall, A.C.1    West, S.G.2    Enders, C.K.3
  • 23
    • 0030527014 scopus 로고    scopus 로고
    • Maximizing the usefulness of data obtained with planned missing value patterns: An application of maximum likelihood procedures
    • J.W.Graham,, S.M.Hofer,, & D.P.MacKinnon, (1996). Maximizing the usefulness of data obtained with planned missing value patterns: An application of maximum likelihood procedures. Multivariate Behavioral Research, 31, 197–218. doi: 10.1207/s15327906mbr3102_3
    • (1996) Multivariate Behavioral Research , vol.31 , pp. 197-218
    • Graham, J.W.1    Hofer, S.M.2    MacKinnon, D.P.3
  • 28
    • 21844482248 scopus 로고
    • Structural factor analysis experiments with incomplete data
    • J.J.McArdle, (1994). Structural factor analysis experiments with incomplete data. Multivariate Behavioral Research, 29, 409–454. doi: 10.1207/s15327906mbr2904_5
    • (1994) Multivariate Behavioral Research , vol.29 , pp. 409-454
    • McArdle, J.J.1
  • 29
    • 34147110831 scopus 로고
    • Measurement invariance, factor analysis and factorial invariance
    • W.Meredith, (1993). Measurement invariance, factor analysis and factorial invariance. Psychometrika, 58, 525–543. doi: 10.1007/BF02294825
    • (1993) Psychometrika , vol.58 , pp. 525-543
    • Meredith, W.1
  • 30
    • 0002344593 scopus 로고    scopus 로고
    • A multivariate technique for multiply imputing missing values using a sequence of regression models
    • T.E.Raghunathan,, J.M.Lepkowski,, J.Van Hoewyk,, & P.Solenberger, (2001). A multivariate technique for multiply imputing missing values using a sequence of regression models. Survey Methodology, 27, 85–95.
    • (2001) Survey Methodology , vol.27 , pp. 85-95
    • Raghunathan, T.E.1    Lepkowski, J.M.2    Van Hoewyk, J.3    Solenberger, P.4
  • 31
    • 57249098827 scopus 로고    scopus 로고
    • Multiple imputation when records used for imputation are not used or disseminated for analysis
    • J.P.Reiter, (2008). Multiple imputation when records used for imputation are not used or disseminated for analysis. Biometrika, 95, 933–946. doi: 10.1093/biomet/asn042
    • (2008) Biometrika , vol.95 , pp. 933-946
    • Reiter, J.P.1
  • 32
    • 34548704976 scopus 로고    scopus 로고
    • The importance of the sampling design in multiple imputation for missing data
    • J.P.Reiter,, T.E.Raghunathan,, & S.Kinney, (2006). The importance of the sampling design in multiple imputation for missing data. Survey Methodology, 32, 143–150.
    • (2006) Survey Methodology , vol.32 , pp. 143-150
    • Reiter, J.P.1    Raghunathan, T.E.2    Kinney, S.3
  • 33
    • 84940952808 scopus 로고
    • Statistical matching using file concatenation with adjusted weights and multiple imputation
    • D.B.Rubin, (1986). Statistical matching using file concatenation with adjusted weights and multiple imputation. Journal of Business and Economic Statistics, 4, 87–94.
    • (1986) Journal of Business and Economic Statistics , vol.4 , pp. 87-94
    • Rubin, D.B.1
  • 35
    • 85047673373 scopus 로고    scopus 로고
    • Missing data: Our view of the state of the art
    • J.L.Schafer,, & J.W.Graham, (2002). Missing data: Our view of the state of the art. Psychological Methods, 7, 147–177. doi: 10.1037/1082-989X.7.2.147
    • (2002) Psychological Methods , vol.7 , pp. 147-177
    • Schafer, J.L.1    Graham, J.W.2
  • 36
    • 0032219074 scopus 로고    scopus 로고
    • Multiple imputation for multivariate missing-data problems: A data analyst's perspective
    • J.L.Schafer,, & M.K.Olsen, (1998). Multiple imputation for multivariate missing-data problems: A data analyst's perspective. Multivariate Behavioral Research, 33, 545–571. doi: 10.1207/s15327906mbr3304_5
    • (1998) Multivariate Behavioral Research , vol.33 , pp. 545-571
    • Schafer, J.L.1    Olsen, M.K.2
  • 38
    • 9144273200 scopus 로고    scopus 로고
    • Assessing the effect of model misspecifications on parameter estimates in structural equation models
    • K.-H.Yuan,, L.L.Marshall,, & P.M.Bentler, (2003). Assessing the effect of model misspecifications on parameter estimates in structural equation models. Sociological Methodology, 33, 241–265. doi: 10.1111/j.0081-1750.2003.00132.x
    • (2003) Sociological Methodology , vol.33 , pp. 241-265
    • Yuan, K.-H.1    Marshall, L.L.2    Bentler, P.M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.