Integrative Data Analysis Through Coordination of Measurement and Analysis Protocol Across Independent Longitudinal Studies

Psychological Methods

Volumn 14, Issue 2, 2009, Pages 150-164

  Hofer, Scott M ^a   Piccinin, Andrea M ^a  

^a OREGON STATE UNIVERSITY   (United States)

Author keywords

data pooling; integrative data analysis; longitudinal; longitudinal studies; meta analysis

Indexed keywords

AGING; ARTICLE; COGNITION; CULTURAL FACTOR; FACTORIAL ANALYSIS; HUMAN; LONGITUDINAL STUDY; META ANALYSIS; METHODOLOGY; PHYSIOLOGY; PSYCHOMETRY; STATISTICS;

AGING; COGNITION; CROSS-CULTURAL COMPARISON; FACTOR ANALYSIS, STATISTICAL; HUMANS; LONGITUDINAL STUDIES; META-ANALYSIS AS TOPIC; PSYCHOMETRICS; RESEARCH DESIGN; STATISTICS AS TOPIC;

EID: 66349121606     PISSN: 1082989X     EISSN: None     Source Type: Journal    
DOI: 10.1037/a0015566     Document Type: Article

References (80)

1. Ades A.E., and Sutton A.J. Multiparameter evidence synthesis in epidemiology and medical decision-making: Current approaches. Journal of the Royal Statistical Society: Series A (Statistics in Society) 169 (2006) 5-35
2. Alwin D.F., Hofer S.M., and McCammon R. Modeling the effects of time: Integrating demographic and developmental perspectives. In: Binstock R.H., and George L.K. (Eds). Handbook of the aging and the social sciences. 6th ed. (2006), Academic Press, San Diego, CA 20-38
3. Anderson N.B., Bulatao R.A., and Cohen B. Critical perspectives on racial and ethnic differences in health in late life (2004), National Research Council, Washington, DC
4. Anstey K.J., and Christensen H. Education, activity, health, blood pressure and Apolipoprotein E as predictors of cognitive change in old age: A review. Gerontology 46 (2000) 163-177
5. Anstey K.J., von Sanden C., Salim A., and O'Kearney R. Smoking as a risk factor for dementia and cognitive decline: A meta-analysis of prospective studies. American Journal of Epidemiology 166 (2007) 367-378
6. Asia Pacific Cohort Studies Collaborative Group. Determinants of cardiovascular disease in the Asian Pacific region: Protocol for a collaborative overview of cohort studies. Cardiovascular Disease Prevention 2 (1999) 281-289
7. Bachrach C.A., and Abeles R.P. Social science and health research: Growth at the National Institutes of Health. American Journal of Public Health 94 (2004) 22-28
8. Becker B.J., and Wu M.-J. The synthesis of regression slopes in meta-analysis. Statistical Science 22 (2007) 414-429
9. Boker S.M., and Nesselroade J.R. A method for modeling the intrinsic dynamics of intraindividual variability: Recovering the parameters of simulated oscillators in multi-wave panel data. Multivariate Behavioral Research 37 (2002) 127-160
10. Bontempo D.E., and Hofer S.M. Assessing factorial invariance in cross-sectional and longitudinal studies. In: Ong A.D., and van Dulmen M. (Eds). Handbook of methods in positive psychology (2007), Oxford University Press, Oxford, England 153-175
11. Butz W.P., and Torrey B.B. Some frontiers in social science. Science 312 (2006, June 30) 1898-1900
12. Cooper H., and Hedges L.V. The handbook of research synthesis (1994), Sage, New York
13. Curran P.J., and Hussong A.M. Integrative data analysis: The simultaneous analysis of multiple data sets. Psychological Methods 14 (2009) 81-100
14. Curran P.J., Hussong A.M., Cai L., Huang W., Chassin L., Sher K.J., and Zucker R.A. Pooling data from multiple prospective studies: The role of item response theory in integrative analysis. Developmental Psychology 44 (2008) 365-380
15. Dufouil C., Alpérovitch A., and Tzourio C. Influence of education on the relationship between white matter lesions and cognition. Neurology 60 (2003) 831-836
16. Duncan G.J., Dowsett C.J., Claessens A., Magnuson K., Huston A.C., Klebanov P., et al. School readiness and later achievement. Developmental Psychology 43 (2007) 1428-1446
17. Duncan G.J., and Kalton G. Issues of design and analysis of surveys across time. International Statistical Review 55 (1987) 97-117
18. Fillmore K.M., Grant M., Hartka E., Johnstone B.M., Sawyer S., Spieflman R., and Temple M.T. Collaborative longitudinal research on alcohol problems. British Journal of Addiction 83 (1988) 441-444
19. Fillmore K.M., Hartka E., Johnstone B.M., Leino E.V., Motoyoshi M.M., and Temple M.T. Preliminary results from a meta-analysis of drinking behavior in multiple longitudinal studies. British Journal of Addiction 86 (1991) 1203-1210
20. Freese J. Replication standards for quantitative social science: Why not sociology?. Sociological Methods & Research 36 (2007) 153-172
21. Gentleman R., and Lang T. Statistical analyses and reproducible research. Journal of Computational & Graphical Statistics 16 (2007) 1-23
22. Gollob H.F., and Reichardt C.S. Taking account of time lags in causal models. Child Development 58 (1987) 80-92
23. Gollob H.F., and Reichardt C.S. Interpreting and estimating indirect effects assuming time lags really matter. In: Collins L.M., and Horn J.L. (Eds). Best methods for the analysis of change: Recent advances, unanswered questions, future directions (1991), American Psychological Association, Washington, DC 243-259
24. Harel O., Hofer S.M., Hoffman L.R., Pedersen N., and Johansson B. Population inference with mortality and attrition in longitudinal studies on aging: A two-stage multiple imputation method. Experimental Aging Research 33 (2007) 187-203
25. Hendrick C. Replications, strict replications, and conceptual replications: Are they important?. Journal of Social Behavior and Personality 5 (1990) 45-48
26. Higgins J.P., and Thompson S.G. Quantifying heterogeneity in a meta-analysis. Statistics in Medicine 21 (2002) 1539-1558
27. Hofer S.M., Flaherty B.P., and Hoffman L. Cross-sectional analysis of time-dependent data: Problems of mean-induced association in age-heterogeneous samples and an alternative method based on sequential narrow age-cohorts. Multivariate Behavioral Research 41 (2006) 165-187
28. Hofer S.M., and Hoffman L. Statistical analysis with incomplete data: A developmental perspective. In: Little T.D., Bovaird J.A., and Card N.A. (Eds). Modeling ecological and contextual effects in longitudinal studies of human development (2007), Erlbaum, Mahwah, NJ 13-32
29. Hofer S.M., and Sliwinski M.J. Understanding ageing: An evaluation of research designs for assessing the interdependence of ageing-related changes. Gerontology 47 (2001) 341-352
30. Huisman M., Kunst A.E., Adersen O., Bopp M., Borgan J.-K., Correll C., et al. Socioeconomic inequalities in mortality among elderly people in 11 European populations. Journal of Epidemiology and Community Health 58 (2004) 468-475
31. Janssen F., Peeters A., Mackenbach J.P., and Kunst A.E. Relation between trends in late middle age mortality and trends in old age mortality-Is there evidence for mortality selection?. Journal of Epidemiology and Community Health 59 (2005) 775-781
32. Johnstone B.M., Leino E.V., Motoyoshi M.M., Temple M.T., Fillmore K.M., and Hartka E. An integrated approach to meta-analysis in alcohol studies. British Journal of Addiction 86 (1991) 1211-1220
33. King G. An introduction to the dataverse network as an infrastructure for data sharing. Sociological Methods and Research 36 (2007) 173-199
34. Kraemer H.C., Yesavage J.A., Taylor J.L., and Kupfer D. How can we learn about developmental processes from cross-sectional studies, or can we?. American Journal of Psychiatry 157 (2000) 163-171
35. Kurland B., Johnson L.L., and Diehr P. Longitudinal data with follow-up truncated by death: Finding a match between analysis method and research (UW Biostatistics Working Paper Series) (2007), University of Washington, Seattle
36. Lindsay R.M., and Ehrenberg A.S.C. The design of replicated studies. American Statistician 47 (1993) 217-228
37. Lykken D.T. Statistical significance in psychological research. Psychological Bulletin 70 (1968) 151-159
38. Manly J.J. Race, culture, education, and cognitive test performance among older adults. In: Hofer S.M., and Alwin D.F. (Eds). Handbook on cognitive aging: Interdisciplinary perspectives (2008), Sage, Thousand Oaks, CA 398-417
39. Martin M., and Hofer S.M. Intraindividual variability, change, and aging: Conceptual and analytical issues. Gerontology 50 (2004) 7-11
40. McArdle J.J., Grimm K.J., Hamagami F., Bowles R.P., and Meredith W. Modeling life-span growth curves of cognition using longitudinal data with multiple samples and changing scales of measurement. Psychological Methods 14 (2009) 126-149
41. Minicuci N., Noale M., Bardage C., Blumstein T., Deeg D.J., Gindin J., et al. Cross-national determinants of quality of life from six longitudinal studies on aging: The CLESA project. Aging and Clinical Experimental Research 15 (2003) 187-202
42. Molenaar P.C.M., Huizenga H.M., and Nesselroade J.R. The relationship between the structure of interindividual and intraindividual variability: A theoretical and empirical vindication of developmental systems theory. In: Staudinger U.M., and Lindenberger U. (Eds). Understanding human development: Dialogues with life-span psychology (2003), Kluwer, Dordrecht, the Netherlands 339-360
43. National Research Council. The aging mind: Opportunities for cognitive research (2000), National Academy Press, Washington, DC
44. National Research Council. New horizons in health: An integrative approach (2001), National Academy Press, Washington, DC
45. National Research Council. Preparing for an aging world: The case for cross-national research (2001), National Academy Press, Washington, DC
46. Nesselroade J.R. The warp and woof of the developmental fabric. In: Downs R., Liben L., and Palermo D.S. (Eds). Visuals of aesthetics, the environment, and development: The legacy of Joachim F. Wohwill (1991), Erlbaum, Hillsdale, NJ 213-240
47. Nguyen H., and Zonderman A. Relationship between age and aspects of depression: Consistency and reliability across two longitudinal studies. Psychology and Aging 21 (2006) 119-126
48. Park C.L. What is the value of replicating other studies?. Research Evaluation 13 (2004) 189-195
49. Park H.L., O'Connell J.E., and Thomson R.G. A systematic review of cognitive decline in the general elderly population. International Journal of Geriatric Psychiatry 18 (2003) 1121-1134
50. Piccinin A.M., and Hofer S.M. Integrative analysis of longitudinal studies on aging: Collaborative research networks, meta-analysis, and optimizing future studies. In: Hofer S.M., and Alwin D.F. (Eds). Handbook on cognitive aging: Interdisciplinary perspectives (2008), Sage, Thousand Oaks, CA 446-476
51. Piccinin, A. M., Hofer, S. M., Anstey, K. J., Deary, I. J., Deeg, D. J. H., Johansson, B., et al. (2006, November). Cross-national IALSA coordinated analysis of age, sex, and education effects on change in MMSE scores. Paper presented at the annual Gerontological Society of America conference, Dallas, Texas.
52. Riegel K.F., and Angleitner A. The pooling of longitudinal studies of aging. International Journal of Aging and Human Development 6 (1975) 57-66
53. Rose C.L. Collaboration among longitudinal aging studies, 1972-1975 (Publication No. 8, Research Report Series) (1976), Veterans Administration Outpatient Clinic, Boston
54. Rosenbaum P.R. Replicating effects and biases. American Statistician 55 (2001) 223-227
55. Schaie K.W. A general model for the study of developmental problems. Psychological Bulletin 64 (1965) 92-107
56. Shadish W.R., Cook T.D., and Campbell D.T. Experimental and quasi-experimental designs for generalized causal inference (2001), Houghton Mifflin, Boston
57. Sliwinski M.J., Hofer S.M., and Hall C. Correlated and coupled cognitive change in older adults with and without clinical dementia. Psychology and Aging 18 (2003) 672-683
58. Sliwinski M.J., Hofer S.M., Hall C., Bushke H., and Lipton R.B. Modeling memory decline in older adults: The importance of preclinical dementia, attrition, and chronological age. Psychology and Aging 18 (2003) 658-671
59. Sliwinski M.J., and Mogle J. Time-based and process-based approaches to analysis of longitudinal data. In: Hofer S.M., and Alwin D.F. (Eds). Handbook on cognitive aging: Interdisciplinary perspectives (2008), Sage, Thousand Oaks, CA 477-491
60. Sliwinski M.J., Stawski R.S., Hall C.B., Katz M., Verghese J., and Lipton R. Distinguishing preterminal and terminal cognitive decline. European Psychologist 11 (2006) 172-181
61. Smith C.T., Williamson P.R., and Marson A.G. Investigating heterogeneity in an individual patient data meta-analysis of time to event outcomes. Statistics in Medicine 24 (2005) 1307-1319
62. Smith C.T., Williamson P.R., and Marson A.G. An overview of methods and empirical comparison of aggregate data and individual patient data results for investigating heterogeneity in meta-analysis of time-to-event outcomes. Journal of Evaluation in Clinical Practice 11 (2005) 468-478
63. Spiegelhalter D.J., Abrams K.R., and Myles J.P. Bayesian approaches to clinical trials and health-care evaluation (2004), Wiley, New York
64. Spiegelhalter D.J., and Best N.G. Bayesian approaches to multiple sources of evidence and uncertainty in complex cost-effectiveness modelling. Statistics in Medicine 22 (2003) 3687-3709
65. Stern Y., Gurland B., Tatemichi T.K., Tang M.X., Wilder D., and Mayeux R. Influence of education and occupation on the incidence of Alzheimer's disease. Journal of the American Medical Association 271 (1994) 1004-1010
66. Stewart L.A., and Parmar M.K. Meta-analysis of the literature or of individual patient data: Is there a difference?. Lancet 341 (1993) 418-422
67. Sutton A.J., and Higgins J.P.T. Recent developments in meta-analysis. Statistics in Medicine 27 (2008) 625-650
68. Thompson S.G., and Sharp S.J. Explaining heterogeneity in meta-analysis: A comparison of methods. Statistics in Medicine 18 (1999) 2693-2708
69. Thorvaldsson V., Hofer S.M., Berg S., and Johansson B. Effects of repeated testing in a longitudinal age-homogeneous study of cognitive aging. Journal of Gerontology: Psychological Sciences 61B (2006) P348-P354
70. Thorvaldsson V., Hofer S.M., Berg S., Skoog I., Sacuiu S., and Johansson B. Onset of terminal decline in cognitive abilities in non-demented individuals. Onset of terminal decline in cognitive abilities in individuals without dementia. Neurology 71 (2008) 882-887
71. Thorvaldsson V., Hofer S.M., Hassing L., and Johansson B. Cognitive change as conditional on age heterogeneity in onset of mortality-related processes and repeated testing effects. In: Hofer S.M., and Alwin D.F. (Eds). Handbook on cognitive aging: Interdisciplinary perspectives (2008), Sage, Thousand Oaks, CA 284-297
72. Tooth L., Ware R., Bain C., Purdie D.M., and Dobson A. Quality of reporting of observational longitudinal research. American Journal of Epidemiology 161 (2005) 280-288
73. Turner R.M., Spiegelhalter D.J., Smith G.C.S., and Thompson S.G. Bias modelling in evidence synthesis. Journal of the Royal Statistical Society: Series A (Statistics in Society) 172 (2009) 23-47
74. Van Dijk K.R.A., Van Gerven P.W.M., Van Boxtel M.P.J., Van der Elst W., and Jolles J. No protective effects of education during normal cognitive aging: Results from the 6-year follow-up of the Maastricht Aging Study. Psychology and Aging 23 (2008) 119-130
75. Weiner J.M., Hanley R.J., Clark R., and Van Nostrand J.F. Measuring the activities of daily living: Comparisons across national surveys. Journal of Gerontology: Social Sciences 45 (1990) S229-S237
76. Whitfield K., and Morgan A.A. Minority populations and cognitive aging. In: Hofer S.M., and Alwin D.F. (Eds). Handbook on cognitive aging: Interdisciplinary perspectives (2008), Sage, Thousand Oaks, CA 384-397
77. Wilkinson L., and Task Force on Statistical Inference. Statistical methods in psychology journals: Guidelines and explanations. American Psychologist 54 (1999) 594-604
78. Wohlwill J.F. The study of behavioral development (1973), Academic Press, New York
79. Wulf W.A. The collaboratory opportunity. Science 261 (1993, August 13) 854-855
80. Zunzunegui M.V., Rodriguez-Laso A., Otero A., Pluijm S.M.F., Nikula S., Blumstein T., et al. Disability and social ties: Comparative findings of the CLESA study. European Journal of Ageing 2 (2006) 40-47