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Advances in Missing Data Models and Fidelity Issues of Implementing These Methods in Prevention Science

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Defining Prevention Science

Part of the book series: Advances in Prevention Science ((Adv. Prevention Science))

Abstract

Data analysis with incomplete data is common in prevention research. Appropriate applications of methods to handle missing data can be critical to ensuring unbiased parameter estimates, as well as maintaining optimal efficiency in parameter estimates. The primary challenge for researchers concerns the particular analytic method that is deemed necessary for data analysis, such as ANOVA, and the source or mechanism that gave rise to the missing data. That is, different analytic methods make different requirements of the data (e.g., analysis of variance requires complete data), and along with these requirements are specific assumptions about the source of the missing data. Careful planning of research studies if missing data are anticipated can greatly reduce the adverse effects of missing data and improve statistical inference. This chapter presents methods for handling missing data and considers their applications in the planning stages of prevention studies.

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Author information

Authors and Affiliations

  1. Department of Psychology, University of California, Davis, CA, USA

    Shelley A. Blozis

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  1. Shelley A. Blozis
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Correspondence to Shelley A. Blozis .

Editor information

Editors and Affiliations

  1. Ontario, Ohio, USA

    Zili Sloboda

  2. JBS International, Inc., Rockville, USA

    Hanno Petras

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Blozis, S.A. (2014). Advances in Missing Data Models and Fidelity Issues of Implementing These Methods in Prevention Science. In: Sloboda, Z., Petras, H. (eds) Defining Prevention Science. Advances in Prevention Science. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7424-2_24

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  • DOI: https://doi.org/10.1007/978-1-4899-7424-2_24

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  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4899-7423-5

  • Online ISBN: 978-1-4899-7424-2

  • eBook Packages: MedicineMedicine (R0)

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