Cited by 867Meta-analysis and systematic reviewsStatistical Methods and Bayesian InferencePsychology Research and Bibliometrics

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Integrative data analysis: The simultaneous analysis of multiple data sets

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Curran, Patrick J., Hussong, Andrea M.·2009·Psychological Methods

DOI 10.1037/a0015914PMC PMC2777640

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Abstract

There are both quantitative and methodological techniques that foster the development and maintenance of a cumulative knowledge base within the psychological sciences. Most noteworthy of these techniques is meta-analysis, which allows for the synthesis of summary statistics drawn from multiple studies when the original data are not available. However, when the original data can be obtained from multiple studies, many advantages stem from the statistical analysis of the pooled data. The authors define integrative data analysis (IDA) as the analysis of multiple data sets that have been pooled into one. Although variants of IDA have been incorporated into other scientific disciplines, the use of these techniques is much less evident in psychology. In this article the authors present an overview of IDA as it may be applied within the psychological sciences, discuss the relative advantages and disadvantages of IDA, describe analytic strategies for analyzing pooled individual data, and offer recommendations for the use of IDA in practice.

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Hierarchical Linear Models: Applications and Data Analysis Methods.
Longford, N. T., Bryk, A. S., & Raudenbush, S. W. (1993) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2075823 · Cited by 18,773
Hierarchical Linear Models: Applications and Data Analysis Methods
Davidian, M. (2003) · Journal of the American Statistical Association · doi:10.1198/jasa.2003.s288 · Cited by 13,820
Untitled work
(2002) · Cited by 13,211
Philosophical transactions of the Royal Society of London. B
Press, H. (1886) · Cited by 10,087
A power primer.
Cohen, J. (1992) · Psychological Bulletin · doi:10.1037//0033-2909.112.1.155 · Cited by 8,771
A Review and Synthesis of the Measurement Invariance Literature: Suggestions, Practices, and Recommendations for Organizational Research
Vandenberg, R. J., & Lance, C. E. (2000) · Organizational Research Methods · doi:10.1177/109442810031002 · Cited by 7,997
To parcel or not to parcel: Exploring the question, weighing the merits
Little, T. D., Cunningham, W. A., Shahar, G., & Widaman, K. F. (2002) · Structural Equation Modeling: A Multidisciplinary Journal · doi:10.1207/s15328007sem0902_1 · Cited by 6,552
Sample size in factor analysis.
MacCallum, R. C., Widaman, K. F., Zhang, S., & Hong, S. (1999) · Psychological Methods · doi:10.1037/1082-989x.4.1.84 · Cited by 5,497
On the Theory of Scales of Measurement
Stevens, S. S. (1946) · Science · doi:10.1126/science.103.2684.677 · Cited by 4,761 · cited 1×
“Here we use the classic definition offered by Stevens (1946) that broadly establishes measurement as "…the assignment of numerals to objects or events according to rules" (p.677).”
Method
Department of Labor
Schwarz, S. (1941) · Columbia University Press eBooks · doi:10.7312/schw92626-009 · Cited by 4,698

Flagged first, then by citations

Show all 112 references

Research works printed but not linked: 2

Cochran WG Sampling Techniques 1977 Third Edition NY John Wiley & Sons
Doherty M Probability versus non-probability sampling in sample surveys The New Zealand Statistics Review, March 1994 21 28

Sorted by citations

Measurement invariance conventions and reporting: The state of the art and future directions for psychological research
Putnick, D. L., & Bornstein, M. H. (2016) · Developmental Review · doi:10.1016/j.dr.2016.06.004 · Cited by 4,369
“Could groups be analyzed separately and then aggregated as if across separate studies (e.g., Curran & Hussong, 2009)?”
Background
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Theobald, E. J., Hill, M. J., Tran, E., Agrawal, S., Arroyo, E. N., Behling, S., Chambwe, N., Cintrón, D. L., Cooper, J. D., Dunster, G., et al. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1916903117 · Cited by 1,387
“This increased power is particularly important for subgroups that are numerically small in any single study; our data on underrepresented students are notable in this regard (73, 74).”
Receptive vocabulary differences in monolingual and bilingual children
BIALYSTOK, E., LUK, G., PEETS, K. F., & YANG, S. (2010) · Bilingualism: Language and Cognition · doi:10.1017/s1366728909990423 · Cited by 1,012
II. MORE THAN JUST CONVENIENT: THE SCIENTIFIC MERITS OF HOMOGENEOUS CONVENIENCE SAMPLES
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Horwood, L. J., Fergusson, D. M., Hayatbakhsh, M. R., Najman, J. M., Coffey, C., Patton, G. C., Silins, E., & Hutchinson, D. M. (2010) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2010.03.008 · Cited by 302
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Joly, F., Giffard, B., Rigal, O., de Ruiter, M. B., Small, B. J., Dubois, M., Fel, J. L., Schagen, S. B., Ahles, T. A., Wefel, J. S., et al. (2015) · Journal of Pain and Symptom Management · doi:10.1016/j.jpainsymman.2015.06.019 · Cited by 185
Multiple Imputation for Multilevel Data with Continuous and Binary Variables
Audigier, V., White, I. R., Jolani, S., Debray, T. P. A., Quartagno, M., Carpenter, J. R., van Buuren, S., & Resche‐Rigon, M. (2018) · Statistical Science · doi:10.1214/18-sts646 · Cited by 168
A new life-span approach to conscientiousness and health: Combining the pieces of the causal puzzle.
Friedman, H. S., Kern, M. L., Hampson, S. E., & Duckworth, A. L. (2012) · Developmental Psychology · doi:10.1037/a0030373 · Cited by 165
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Method
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“For multigroup analysis, scores of the two samples were equated, using methods described by [42].”
Method
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Hart, S. A. (2016) · Mind Brain and Education · doi:10.1111/mbe.12109 · Cited by 93
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Authors: Curran, P. J., & Hussong, A. M.
Affiliations: University of North Carolina at Chapel Hill (US)
ORCID: Curran, Patrick J.
Hussong, Andrea M.
Venue: Psychological Methods
Publisher: American Psychological Association (APA)
Published: 2009
Volume: 14
Issue: 2
Pages: 81-100
ISSN: 1082-989X (ISSN-L)
1939-1463
DOI: 10.1037/a0015914
PMC: PMC2777640
OpenAlex: W2072327382
Cited by: 867
References: 112
Citations by year: 2026: 61 · 2025: 51 · 2024: 95 · 2023: 73 · 2022: 95 · 2021: 94 · 2020: 80 · 2019: 61 · 2018: 51 · 2017: 35 · 2016: 45 · 2015: 43 · 2014: 23 · 2013: 17 · 2012: 21
FWCI: 17.24
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Locations: Psychological Methods (publishedVersion)
PubMed (publishedVersion)
PubMed Central (acceptedVersion)
Carolina Digital Repository (University of North Carolina at Chapel Hill) (submittedVersion)
UNC Libraries
Funders: National Institute on Drug Abuse (DA013148, DA15398)
Topics: Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
Social Sciences › Psychology › Experimental and Cognitive Psychology › Psychology Research and Bibliometrics
Keywords: integrative data analysis, pooled analysis, multiple data sets, meta-analysis, analytical strategies, evidence synthesis
MeSH terms: Data Collection, Data Interpretation, Statistical, Humans, Research, Research Design, Meta-Analysis as Topic

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