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State-trace analysis / John C. Dunn and Michael L. Kalish.

By: Contributor(s): Language: English Publisher: New York : Springer, 2018Description: 123 pagesContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9783319731285
Subject(s): DDC classification:
  • 150.287 22 (machine generated)
Other classification:
  • Doat
Holdings
Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Book Biblioteket HKR Biblioteket 150.287 Dunn Available 11156000187409
Total holds: 0

Enhanced descriptions from Syndetics:

This book provides an introduction to the theory, method, and practice of State-Trace Analysis (STA), and includes a detailed tutorial on the statistical analysis of state-trace designs. The book offers instructions on how to perform state-trace analysis using the authors' own publicly-available software in both Matlab and R.

The book begins by discussing the general framework for thinking about the relationships between independent variables, latent variables, and dependent variables. Subsequent chapters provide a software package that can be used to fit state-trace models as well as additional designs and examples. The book concludes with a discussion on potential extensions of STA and additional aspects of its application.

State-Trace Analysis will be of interest to researchers and graduate students working in experimental, applied, and cognitive psychology.

Imported from: lx2.loc.gov:210/LCDB (Do not remove)