E. Hamaker

Experimental and Cognitive Psychology · 2002–2018

A researcher in the Science corpus: 13 papers; trusts 23 researchers and is trusted by 30 researchers here, as inferred from the citation graph.

Subfields

Whom E. Hamaker trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. P. Curran
  2. J. Mcardle
  3. Kenneth A. Bollen
  4. Robert Fildes
  5. Eric R. Ziegel
  6. Peter Kuppens
  7. Clive W. J. Granger
  8. Zhiyong Zhang
  9. Lijuan Wang
  10. Peter C. M. Molenaar

Who trusts E. Hamaker overall

  1. T. Asparouhov
  2. Satoshi Usami
  3. B. Muthén
  4. Sacha Epskamp
  5. Denny Borsboom
  6. Lourens J. Waldorp
  7. Mårten Schultzberg
  8. Martin Hecht
  9. Lars Leszczensky
  10. A. Cramer

Papers from E. Hamaker's perspective

Ordered by how strongly the researchers E. Hamaker trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Book Review : Structural Equations with Latent Variables Kenneth A. Bollen New York: Wiley, 1989, 514 pp., approx. $44.95
  2. A Manifesto on Psychology as Idiographic Science: Bringing the Person Back Into Scientific Psychology, This Time Forever
  3. Missing data: our view of the state of the art. (Psychological methods)
  4. Latent variable modeling of differences and changes with longitudinal data. (Annual Review of Psychology)
  5. The multilevel latent covariate model: a new, more reliable approach to group-level effects in contextual studies. (Psychological methods)
  6. The best of both worlds: Combining autoregressive and latent curve models.
  7. Forecasting structural time series models and the kalman filter: Andrew Harvey, 1989, (Cambridge University Press), 554 pp., ISBN 0-521-32196-4
  8. Distributional assumptions of growth mixture models: implications for overextraction of latent trajectory classes. (Psychological methods)
  9. Latent difference score structural models for linear dynamic analyses with incomplete longitudinal data.
  10. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images

Their papers