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An Application of a Mixed-Effects Location Scale Model for Analysis of Ecological Momentary Assessment (EMA) Data

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  • Donald Hedeker
  • Robin J. Mermelstein
  • Hakan Demirtas

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  • Donald Hedeker & Robin J. Mermelstein & Hakan Demirtas, 2008. "An Application of a Mixed-Effects Location Scale Model for Analysis of Ecological Momentary Assessment (EMA) Data," Biometrics, The International Biometric Society, vol. 64(2), pages 627-634, June.
    • Handle: RePEc:bla:biomet:v:64:y:2008:i:2:p:627-634
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2007.00924.x
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    References listed on IDEAS

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    1. Harvey, A C, 1976. "Estimating Regression Models with Multiplicative Heteroscedasticity," Econometrica, Econometric Society, vol. 44(3), pages 461-465, May.
    2. Murray Aitkin, 1987. "Modelling Variance Heterogeneity in Normal Regression Using GLIM," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 36(3), pages 332-339, November.
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    Cited by:

    1. Emily A. Scherer & Lin Huang & Lydia A. Shrier, 2017. "Application of Correlated Time-to-Event Models to Ecological Momentary Assessment Data," Psychometrika, Springer;The Psychometric Society, vol. 82(1), pages 233-244, March.
    2. Shelley A. Blozis, 2022. "Bayesian two-part multilevel model for longitudinal media use data," Journal of Marketing Analytics, Palgrave Macmillan, vol. 10(4), pages 311-328, December.
    3. Olbrich, Lukas & Kosyakova, Yuliya & Sakshaug, Joseph W., 2022. "The reliability of adult self-reported height: The role of interviewers," Economics & Human Biology, Elsevier, vol. 45(C).
    4. Christoph Spörlein & Elmar Schlueter, 2018. "How education systems shape cross-national ethnic inequality in math competence scores: Moving beyond mean differences," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-21, March.
    5. Leonardo Grilli & Carla Rampichini, 2015. "Specification of random effects in multilevel models: a review," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(3), pages 967-976, May.
    6. Steffen Nestler & Sarah Humberg, 2022. "A Lasso and a Regression Tree Mixed-Effect Model with Random Effects for the Level, the Residual Variance, and the Autocorrelation," Psychometrika, Springer;The Psychometric Society, vol. 87(2), pages 506-532, June.
    7. Shelley A. Blozis, 2022. "A Latent Variable Mixed-Effects Location Scale Model with an Application to Daily Diary Data," Psychometrika, Springer;The Psychometric Society, vol. 87(4), pages 1548-1570, December.
    8. Patrick Sturgis & Ian Brunton-Smith & Jonathan Jackson, 2021. "Trust in science, social consensus and vaccine confidence," Nature Human Behaviour, Nature, vol. 5(11), pages 1528-1534, November.
    9. Manuel Oviedo-de La Fuente & Celestino Ordóñez & Javier Roca-Pardiñas, 2020. "Functional Location-Scale Model to Forecast Bivariate Pollution Episodes," Mathematics, MDPI, vol. 8(6), pages 1-12, June.
    10. Daniel McNeish & Denis Dumas & Dario Torre & Neil Rice, 2022. "Modelling time to maximum competency in medical student progress tests," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(4), pages 2007-2034, October.
    11. Stephen R. Martin & Philippe Rast, 2022. "The Reliability Factor: Modeling Individual Reliability with Multiple Items from a Single Assessment," Psychometrika, Springer;The Psychometric Society, vol. 87(4), pages 1318-1342, December.
    12. Hedeker, Donald & Nordgren, Rachel, 2013. "MIXREGLS: A Program for Mixed-Effects Location Scale Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 52(i12).
    13. George Leckie & Robert French & Chris Charlton & William Browne, 2014. "Modeling Heterogeneous Variance–Covariance Components in Two-Level Models," Journal of Educational and Behavioral Statistics, , vol. 39(5), pages 307-332, October.
    14. Ian Brunton-Smith & Patrick Sturgis & George Leckie, 2017. "Detecting and understanding interviewer effects on survey data by using a cross-classified mixed effects location–scale model," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(2), pages 551-568, February.
    15. Christopher A. German & Janet S. Sinsheimer & Jin Zhou & Hua Zhou, 2022. "WiSER: Robust and scalable estimation and inference of within‐subject variances from intensive longitudinal data," Biometrics, The International Biometric Society, vol. 78(4), pages 1313-1327, December.

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