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Construct Meaning in Multilevel Settings

Author

Listed:
  • Laura M. Stapleton
  • Ji Seung Yang
  • Gregory R. Hancock

    (University of Maryland)

Abstract

We present types of constructs, individual- and cluster-level, and their confirmatory factor analytic validation models when data are from individuals nested within clusters. When a construct is theoretically individual level, spurious construct-irrelevant dependency in the data may appear to signal cluster-level dependency; in such cases, however, and consistent with theory, a single-level analysis with a correction for dependency may be appropriate. Regarding cluster-level constructs, we discuss two types—shared and configural—and present appropriate validation models. Illustrative validation analyses with individual, shared, and configural constructs are provided using empirical data as well as simple simulations demonstrating the spurious effects that can occur with nested data. The article concludes with future directions to be examined in construct validation in multilevel settings.

Suggested Citation

  • Laura M. Stapleton & Ji Seung Yang & Gregory R. Hancock, 2016. "Construct Meaning in Multilevel Settings," Journal of Educational and Behavioral Statistics, , vol. 41(5), pages 481-520, October.
  • Handle: RePEc:sae:jedbes:v:41:y:2016:i:5:p:481-520
    DOI: 10.3102/1076998616646200
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    References listed on IDEAS

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    1. Sophia Rabe‐Hesketh & Anders Skrondal, 2006. "Multilevel modelling of complex survey data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(4), pages 805-827, October.
    2. Gregory Hancock, 2001. "Effect size, power, and sample size determination for structured means modeling and mimic approaches to between-groups hypothesis testing of means on a single latent construct," Psychometrika, Springer;The Psychometric Society, vol. 66(3), pages 373-388, September.
    3. Lee Cronbach, 1951. "Coefficient alpha and the internal structure of tests," Psychometrika, Springer;The Psychometric Society, vol. 16(3), pages 297-334, September.
    4. Barry Forer & Bruno Zumbo, 2011. "Validation of Multilevel Constructs: Validation Methods and Empirical Findings for the EDI," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 103(2), pages 231-265, September.
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    Cited by:

    1. Sarah M. Staggs & Joseph A. Bonito & Jennifer N. Ervin, 2018. "Measuring and Evaluating Convergence Processes Across a Series of Group Discussions," Group Decision and Negotiation, Springer, vol. 27(5), pages 715-733, October.

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