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Sy-Miin Chow | Akateeminen Kirjakauppa

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Statistical Methods for Modeling Human Dynamics - An Interdisciplinary Dialogue
Sy-Miin Chow; Emilio Ferrer; Fushing Hsieh
Taylor & Francis Ltd (2009)
Kovakantinen kirja
170,60
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Quantitative Psychology Research - The 79th Annual Meeting of the Psychometric Society, Madison, Wisconsin, 2014
L. Andries van der Ark; Daniel M. Bolt; Wen-Chung Wang; Jeffrey A. Douglas; Sy-Miin Chow
Springer International Publishing AG (2015)
Kovakantinen kirja
129,90
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Quantitative Psychology Research : The 79th Annual Meeting of the Psychometric Society, Madison, Wisconsin, 2014
L. Andries van der Ark (ed.); Daniel M. Bolt (ed.); Wen-Chung Wang (ed.); Jeffrey A. Douglas (ed.); Sy-Miin Chow (ed.)
Springer (2016)
Pehmeäkantinen kirja
129,90
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Intensive Longitudinal Analysis of Human Processes
Kathleen M. Gates; Sy-Miin Chow; Peter C. M. Molenaar
Taylor & Francis Inc (2023)
Kovakantinen kirja
126,30
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Statistical Methods for Modeling Human Dynamics - An Interdisciplinary Dialogue
170,60 €
Taylor & Francis Ltd
Sivumäärä: 444 sivua
Asu: Kovakantinen kirja
Painos: 1
Julkaisuvuosi: 2009, 09.12.2009 (lisätietoa)
Kieli: Englanti
This interdisciplinary volume features contributions from researchers in the fields of psychology, neuroscience, statistics, computer science, and physics. State-of-the-art techniques and applications used to analyze data obtained from studies in cognition, emotion, and electrophysiology are reviewed along with techniques for modeling in real time and for examining lifespan cognitive changes, for conceptualizing change using item response, nonparametric and hierarchical models, and control theory-inspired techniques for deriving diagnoses in medical and psychotherapeutic settings. The syntax for running the analyses presented in the book is provided on the Psychology Press site. Most of the programs are written in R while others are for Matlab, SAS, Win-BUGS, and DyFA.

Readers will appreciate a review of the latest methodological techniques developed in the last few years. Highlights include an examination of:



Statistical and mathematical modeling techniques for the analysis of brain imaging such as EEGs, fMRIs, and other neuroscience data
Dynamic modeling techniques for intensive repeated measurement data
Panel modeling techniques for fewer time points data
State-space modeling techniques for psychological data
Techniques used to analyze reaction time data.

Each chapter features an introductory overview of the techniques needed to understand the chapter, a summary, and numerous examples. Each self-contained chapter can be read on its own and in any order. Divided into three major sections, the book examines techniques for examining within-person derivations in change patterns, intra-individual change, and inter-individual differences in change and interpersonal dynamics. Intended for advanced students and researchers, this book will appeal to those interested in applying state-of-the-art dynamic modeling techniques to the the study of neurological, developmental, cognitive, and social/personality psychology, as well as neuroscience, computer science, and engineering.

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Helsinki
Tapiola
Turku
Tampere
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ISBN:
9781848728257
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