Summary
Contents
Subject index
Quantitative Psychology is arguably one of the oldest disciplines within the field of psychology and nearly all psychologists are exposed to quantitative psychology in some form. While textbooks in statistics, research methods, and psychological measurement exist none offer a unified treatment of quantitative psychology. The SAGE Handbook of Quantitative Methods in Psychology does just that. Each chapter covers a methodological topic with equal attention paid to established theory and the challenges facing methodologists as they address new research questions using that particular methodology. The reader will come away from each chapter with a greater understanding of the methodology being addressed as well as an understanding of the directions for future developments within that methodological area.
Time Series Models for Examining Psychological Processes: Applications and New Developments
Time Series Models for Examining Psychological Processes: Applications and New Developments
Introduction
Psychological processes are dynamic phenomena. They unfold over time and involve time-lagged sequences. To capture this dynamic nature, there is an unavoidable need for intensive data that reflect the changes (e.g., fluctuations, trends) and the time dependency embedded in the processes. Similarly, the analysis of such intense repeated measurement needs statisticaltools that can adequately identify the psychological mechanisms underlying the observed data.
One type of statistical techniques suited for modeling psychological processes is time series analysis. Time series models were developed to deal with intense data repeated over time. They have been a primary tool in areas as diverse as economics, epidemiology and, particularly, the ...
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