Design Specification Issues in Time-Series Intervention Models

By B. Huitema, Joseph W. McKean. 2000

241 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/50f641b5231ffe7a15e38a0779f07f2c8abb965c

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In Management Science and Operations Research

In Statistics and Probability

Citations in the corpus

Effect Size in Single-Case Research: A Review of Nine Nonoverlap Techniques (2011, methodology): “…of analyses for SCR, including multilevel models (van den Noortgate & Onghena, 2003, 2008), advanced regression models (Allison & Gorman, 1993; Huitema & McKean, 2000), and simpler, distribution-free nonparametric models, notably data nonoverlap between phases (Ma, 2006; Parker & Vannest,…”
Bottom-Up Analysis of Single-Case Research Designs (2012, unknown): “…multi-level modeling (HLM, MLM) (van den Noorgate and Onghena 2007, 2008), randomization (Kratochwill and Levin 2010), and complex multi-series regression, either ordinary least squares (OLS) (Allison and Gorman 1993; Huitema and McKean 2000) or generalized least squares (GLS) (Maggin et al. 2011).”
Design-Comparable Effect Sizes in Multiple Baseline Designs (2014, background): “Equation 2 is a piecewise linear regression model, a very common specification for analysis of multiple baselines (Center et al., 1985; Gottman, 1981; Huitema & McKean, 2000).”
Conducting Interrupted Time-series Analysis for Single- and Multiple-group Comparisons (2015, methodology): “When there is only one group under study (no comparison groups), the standard ITSA regression model assumes the following form (Huitema and McKean 2000a; Linden and Adams 2011; Simonton 1977a; Simonton 1977b): Yt = β0 + β1Tt + β2Xt + β3XtTt + t (1) Yt is the aggregated outcome variable measured at…”
A review of meta-analyses of single-subject experimental designs: Methodological issues and practice (2008, methodology): “More recent research has identified some modified test statistics that perform well in identifying lag-one autocorrelation for small data sets (Huitema & McKean, 2000; Riviello & Beretvas, 2008).”
Interpreting Kendall’s Tau and Tau-U for single-case experimental designs (2018, methodology): “Page 5 of 26 One way to answer this question is to instead calculate τðphase;scoreÞ, with a dummy code phase variable (0/1 for A/B designs), though more complex dummy coding strategies could be used for sophisticated multiphase designs (Huitema & McKean, 2000; Parker & Brossart, 2006).”