Time Series In Psychology
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Time Series In Psychology
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Author : R. A.M. Gregson
language : en
Publisher: Psychology Press
Release Date : 2014-05-22
Time Series In Psychology written by R. A.M. Gregson and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-22 with Psychology categories.
First published in 1983. Psychological data are segments of life histories; as such they are ordered sequences of observations and by definition time series. Yet they are often anything but well behaved; what regularities and invariances they have are buried from all but the most persistent investigator. The most common methods of representing quantitative results in psychology are frozen outside time; thus they deliberately average out much of the sequential structure that holds any sparse clues to the nature of processes within the organism. This review, whose simple aim is to bring together in an illuminating juxtaposition on basic results in both time series analysis and in experimental psychology, thus. cuts across traditions within psychology.
Spectral Analysis Of Time Series Data
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Author : Rebecca M. Warner
language : en
Publisher: Guilford Press
Release Date : 1998-05-22
Spectral Analysis Of Time Series Data written by Rebecca M. Warner and has been published by Guilford Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-05-22 with Social Science categories.
This book provides a thorough introduction to methods for detecting and describing cyclic patterns in time-series data. It is written both for researchers and students new to the area and for those who have already collected time-series data but wish to learn new ways of understanding and presenting them. Facilitating the interpretation of observations of behavior, physiology, mood, perceptual threshold, social indicator variables, and other responses, the book focuses on practical applications and requires much less mathematical background than most comparable texts. Using real data sets and currently available software (SPSS for Windows), the author employs extensive examples to clarify key concepts. Topics covered include research design issues, preliminary data screening, identification and description of cycles, summary of results across time series, and assessment of relations between time series. Also considered are theoretical questions, problems of interpretation, and potential sources of artifact.
The Oxford Handbook Of Quantitative Methods In Psychology Vol 2
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Author : Todd D. Little
language : en
Publisher:
Release Date : 2013-03-21
The Oxford Handbook Of Quantitative Methods In Psychology Vol 2 written by Todd D. Little and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-21 with Psychology categories.
The Oxford Handbook of Quantitative Methods in Psychology provides an accessible and comprehensive review of the current state-of-the-science and a one-stop source for learning and reviewing current best-practices in a quantitative methods across the social, behavioral, and educational sciences.
Time Series Analysis
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Author : John M. Gottman
language : en
Publisher: Cambridge University Press
Release Date : 2009-03-19
Time Series Analysis written by John M. Gottman and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-03-19 with Social Science categories.
Since the 1970s social scientists and scientists in a variety of fields - psychology, sociology, education, psychiatry, economics and engineering - have been interested in problems that require the statistical analysis of data over time and there has been in effect a conceptual revolution in ways of thinking about pattern and regularity. This book is a comprehensive introduction to all the major time-series techniques, both time-domain and frequency-domain. It includes work on linear models that simplify the solution of univariate and multivariate problems. The author begins with a non-mathematical overview: throughout, he provides easy-to-understand, fully worked examples drawn from real studies in psychology and sociology. Other, less comprehensive, books on time-series analysis require calculus: this presupposes only a standard introductory statistics course covering analysis of variance and regression. The chapters are short, designed to build concepts (and the reader's confidence) one step at a time. Many illustrations aid visual, intuitive understanding. Without compromising mathematical rigour, the author keeps in mind the reader who does no have an easy time with mathematics: the result is a readily accessible and practical text.
An Introduction To Time Series Analysis And Forecasting
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Author : Robert Alan Yaffee
language : en
Publisher: Elsevier
Release Date : 2000-05-12
An Introduction To Time Series Analysis And Forecasting written by Robert Alan Yaffee and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-05-12 with Mathematics categories.
Providing a clear explanation of the fundamental theory of time series analysis and forecasting, this book couples theory with applications of two popular statistical packages--SAS and SPSS. The text examines moving average, exponential smoothing, Census X-11 deseasonalization, ARIMA, intervention, transfer function, and autoregressive error models and has brief discussions of ARCH and GARCH models. The book features treatments of forecast improvement with regression and autoregression combination models and model and forecast evaluation, along with a sample size analysis for common time series models to attain adequate statistical power. The careful linkage of the theoretical constructs with the practical considerations involved in utilizing the statistical packages makes it easy for the user to properly apply these techniques. Describes principal approaches to time series analysis and forecasting Presents examples from public opinion research, policy analysis, political science, economics, and sociology Math level pitched to general social science usage Glossary makes the material accessible for readers at all levels
Multivariate Time Series Analyses For Psychological Research
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Author : Tatjana Stadnitski
language : en
Publisher:
Release Date : 2013
Multivariate Time Series Analyses For Psychological Research written by Tatjana Stadnitski and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with categories.
Time Series Analysis For The Social Sciences
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Author : Janet M. Box-Steffensmeier
language : en
Publisher: Cambridge University Press
Release Date : 2014-12-22
Time Series Analysis For The Social Sciences written by Janet M. Box-Steffensmeier and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-22 with Mathematics categories.
This book provides instruction and examples of the core methods in time series econometrics, drawing from several main fields of the social sciences.
Methodological Issues In Applied Social Psychology
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Author : Fred B. Bryant
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-11-11
Methodological Issues In Applied Social Psychology written by Fred B. Bryant and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-11 with Psychology categories.
Many authors have argued that applying social psychology to the solution of real world problems builds better theories. Observers have claimed, for example, that of human behavior applied social psychology reveals more accurate principles because its data are based on people in real-life circumstances (Helmreich, 1975; Saxe & Fine, 1980), provides an opportunity to assess the ecological validity of generalizations derived from laboratory research (Ellsworth, 1977; Leventhal, 1980), and discloses important gaps in existing theories (Fisher, 1982; Mayo & LaFrance, 1980). Undoubtedly, many concrete examples can be mustered in support of these claims. But it also can be argued that applying social psychology to social issues and problems builds better research methods. Special methodological problems arise and new perspectives on old methodological problems emerge when re searchers leave the laboratory and tackle social problems in real-world settings. Along the way, we not only improve existing research techniques but also devel op new research tools, all of which enhance our ability to obtain valid results and thereby to understand and solve socially relevant problems. Indeed, Campbell and Stanley's (1966) seminal work on validity in research design grew out of the application of social science in field settings. In this spirit, the principal aim of this volume is to present examples of methodological advances being made as researchers apply social psychology in real-life settings.
Analyzing Neural Time Series Data
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Author : Mike X Cohen
language : en
Publisher: MIT Press
Release Date : 2014-01-17
Analyzing Neural Time Series Data written by Mike X Cohen and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-17 with Psychology categories.
A comprehensive guide to the conceptual, mathematical, and implementational aspects of analyzing electrical brain signals, including data from MEG, EEG, and LFP recordings. This book offers a comprehensive guide to the theory and practice of analyzing electrical brain signals. It explains the conceptual, mathematical, and implementational (via Matlab programming) aspects of time-, time-frequency- and synchronization-based analyses of magnetoencephalography (MEG), electroencephalography (EEG), and local field potential (LFP) recordings from humans and nonhuman animals. It is the only book on the topic that covers both the theoretical background and the implementation in language that can be understood by readers without extensive formal training in mathematics, including cognitive scientists, neuroscientists, and psychologists. Readers who go through the book chapter by chapter and implement the examples in Matlab will develop an understanding of why and how analyses are performed, how to interpret results, what the methodological issues are, and how to perform single-subject-level and group-level analyses. Researchers who are familiar with using automated programs to perform advanced analyses will learn what happens when they click the “analyze now” button. The book provides sample data and downloadable Matlab code. Each of the 38 chapters covers one analysis topic, and these topics progress from simple to advanced. Most chapters conclude with exercises that further develop the material covered in the chapter. Many of the methods presented (including convolution, the Fourier transform, and Euler's formula) are fundamental and form the groundwork for other advanced data analysis methods. Readers who master the methods in the book will be well prepared to learn other approaches.
Design And Analysis Of Time Series Experiments
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Author : Richard McCleary
language : en
Publisher: Oxford University Press
Release Date : 2017
Design And Analysis Of Time Series Experiments written by Richard McCleary and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Medical categories.
Design and Analysis of Time Series Experiments presents the elements of statistical time series analysis while also addressing recent developments in research design and causal modeling. A distinguishing feature of the book is its integration of design and analysis of time series experiments. Drawing examples from criminology, economics, education, pharmacology, public policy, program evaluation, public health, and psychology, Design and Analysis of Time Series Experiments is addressed to researchers and graduate students in a wide range of behavioral, biomedical and social sciences. Readers learn not only how-to skills but, also the underlying rationales for the design features and the analytical methods. ARIMA algebra, Box-Jenkins-Tiao models and model-building strategies, forecasting, and Box-Tiao impact models are developed in separate chapters. The presentation of the models and model-building assumes only exposure to an introductory statistics course, with more difficult mathematical material relegated to appendices. Separate chapters cover threats to statistical conclusion validity, internal validity, construct validity, and external validity with an emphasis on how these threats arise in time series experiments. Design structures for controlling the threats are presented and illustrated through examples. The chapters on statistical conclusion validity and internal validity introduce Bayesian methods, counterfactual causality and synthetic control group designs. Building on the earlier of the authors, Design and Analysis of Time Series Experiments includes more recent developments in modeling, and considers design issues in greater detail than any existing work. Additionally, the book appeals to those who want to conduct or interpret time series experiments, as well as to those interested in research designs for causal inference.--