Precision of testing the indirect effect for mediation studies

Doctoral Dissertation
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Abstract

Sample size planning is often one of the first steps when planning a psychological study. Researchers generally need to know how many participants they will need to have 0.80 power. Recently, methodologists have taken another view on sample size planning, mainly planning a study to have an accurate and precise estimate (AIPE). This work focuses on the latter view on sample size planning for mediation studies (how large must a sample be to have an accurate estimate of the indirect effect). This work looks at four methods to assess mediation in two different models: a cross-sectional and longitudinal model. Single sample tests require the more participants than the resampling approaches in both models. Coverage rates vary between methods in the models but it appears that the percentile bootstrap has the best coverage rates. We also provide R and MPlus codes for researchers to examine parameter values we did not examine in this study so they can plan studies with adequate precision.

Attributes

Attribute NameValues
URN
  • etd-07182011-094429

Author Melissa Ann Mitchell
Advisor Scott E. Maxwell
Contributor Zhiyong Zhang, Committee Member
Contributor Ken Kelley, Committee Member
Contributor Lijuan Wang, Committee Member
Contributor Scott E. Maxwell, Committee Chair
Degree Level Doctoral Dissertation
Degree Discipline Psychology
Degree Name PhD
Defense Date
  • 2011-07-14

Submission Date 2011-07-18
Country
  • United States of America

Subject
  • sample size planning

  • mediation

  • precision

  • indirect effect

Publisher
  • University of Notre Dame

Language
  • English

Record Visibility and Access Public
Content License
  • All rights reserved

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