18. Simple Interrupted Time-Series Designs

  1. Bradley E. Huitema

Published Online: 14 OCT 2011

DOI: 10.1002/9781118067475.ch18

The Analysis of Covariance and Alternatives: Statistical Methods for Experiments, Quasi-Experiments, and Single-Case Studies, Second Edition

The Analysis of Covariance and Alternatives: Statistical Methods for Experiments, Quasi-Experiments, and Single-Case Studies, Second Edition

How to Cite

Huitema, B. E. (2011) Simple Interrupted Time-Series Designs, in The Analysis of Covariance and Alternatives: Statistical Methods for Experiments, Quasi-Experiments, and Single-Case Studies, Second Edition, John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9781118067475.ch18

Author Information

  1. Department of Psychology, Western Michigan University, Kalamazoo, Michigan, USA

Publication History

  1. Published Online: 14 OCT 2011
  2. Published Print: 14 OCT 2011

Book Series:

  1. Wiley Series in Probability and Statistics

Book Series Editors:

  1. Walter A. Shewhart and
  2. Samuel S. Wilks

ISBN Information

Print ISBN: 9780471748960

Online ISBN: 9781118067475

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Keywords:

  • ANCOVA;
  • simple interrupted time-series design;
  • standardized effect size;
  • time-series regression intervention analysis;
  • two-phase designs

Summary

This chapter focuses on two forms of the simple interrupted time-series design. The first form is a single-case design that involves obtaining measurements from a single subject at many time points before and after the introduction of an intervention. The second form also involves the collection of observations at many time points before and after an intervention, but the observations are obtained from a compound unit that consists of more than one organism. The recommended analysis for both forms can be viewed as a variant of ANCOVA in which time is the covariate. The chapter describes methods for the analysis of two-phase designs where the unit of analysis is either an individual subject or some compound unit. Two types of standardized effect size are discussed in the chapter.

Controlled Vocabulary Terms

analysis of covariance; linear regression; time series analysis