SCS Reads Nominations

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==SCS Reads Nominations, 2013 ==
==SCS Reads Nominations, 2013 ==
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== '''JUNE. 28: NEW ONLINE POLL: PLEASE VOTE HERE -- [https://docs.google.com/forms/d/1oBf-VR5pcUUB38wsCxUH24QFnH0qPoCxkjhYSwq05l4/viewform]''' ==
*Murnane and Willett, 2012, Methods Matter
*Murnane and Willett, 2012, Methods Matter

Revision as of 10:45, 28 June 2013

Contents

SCS Reads Nominations, 2013

JUNE. 28: NEW ONLINE POLL: PLEASE VOTE HERE -- [1]

SCS Reads Nominations, 2012

SEPT. 11: NEW ONLINE POLL: PLEASE VOTE HERE -- [5]

  • 'Little Green Books' from Sage.
    You can see the list at http://srmo.sagepub.com/browse?doctype=qass. The idea would be to select a few books to read over the year, covering various topics. (This was nominated by Matt and Carrie if I remember correctly)
  • Jim Albert (2009) Bayesian Computation with R, 2nd ed., Springer
    A relatively small book in the Use R! series. What seems nice about this book is that it would provide an introduction to Bayesian analysis, MCMC, Gibbs sampling, convergence diagnostics, etc. in a context in which we can learn the methods by using them. We could supplement the book with other readings on Bayesian methods. Or, since it is relatively short we could devote time to other topics. (nominated by Georges)
  • Structural Equation Modeling: Concepts, Issues, and Applications by Rick Hoyle (nominated by Constance)
    Each chapter is written by a different contributor (e.g., Bentler and Hu)
    We haven't done a SEM book since I've been at York (so at least 4 years). Given its popularity among applied researchers, would be great to have some discussion of this modeling technique! We could supplement with a few more recent papers on SEM as well.
  • Multivariate Generalized Linear Mixed Models Using R by Damon M. Berridge and Robert Crouchley. CRC Press, 2011. (nominated by Hugh)
    The extension of Generalized Linear Mixed Models to handle multivariate dependent variables is, of course, a very valuable addition to our tools for multi-level modelling. This book uses the SabreR package in R.

SCS Reads Nominations, 2011

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