State-Trace Analysis (Paperback, 1st ed. 2018)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Computational Approaches to Cognition and Perception
Release date:	February 2018
First published:	2018
Authors:	John C. Dunn • Michael L. Kalish
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	123
Edition:	1st ed. 2018
ISBN-13:	978-3-319-73128-5
Categories:	Books > Social sciences > Psychology > Experimental psychology Books > Social sciences > Psychology > Psychological methodology > General Books > Social sciences > Psychology > Cognition & cognitive psychology > General
LSN:	3-319-73128-9
Barcode:	9783319731285

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