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Time Will Tell: Time Series Modeling in Psychology
S. Rietdijk
Leerstoel Hoijtink
Methodology and statistics for the behavioural and social sciences
Research output
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Thesis
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Doctoral thesis 1 (Research UU / Graduation UU)
Overview
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Keyphrases
Intensive Longitudinal Data
100%
Time Series Modeling
100%
Experience Sampling
83%
Modeling Approach
33%
Threshold Autoregressive Model
33%
Inertia
33%
Method Study
33%
Autoregressive Model
33%
Time Series Model
33%
AR(1) Model
33%
Number of Levels
33%
Three-level
16%
Time of Use
16%
State Dependence
16%
Repeated Measurements
16%
Psychological Processes
16%
Statistical Techniques
16%
Autocorrelation
16%
Series Analysis
16%
Process Dynamics
16%
Misspecification
16%
Optimal Way
16%
Discrete-time Model
16%
Affect Regulation
16%
Longitudinal Study Design
16%
Field of Science
16%
Markov Model
16%
Measurement Interval
16%
Multilevel Thresholding
16%
Markov Modeling
16%
Data Context
16%
Switching Process
16%
Affect Dynamics
16%
Unequally Spaced
16%
State Switching
16%
Semi-random
16%
AR(1)
16%
Methodological Research
16%
Experience Design
16%
Method Call
16%
Psychology
Autoregressive Model
100%
Time Series Modeling
100%
Psychology
66%
Threshold Autoregressive
66%
Affect Regulation
33%
Misspecification
33%
Markov Model
33%
Time Series Analysis
33%
Longitudinal Analysis
33%
Computer Science
Longitudinal Data
100%
Design Research
20%
Exploratory Study
20%
Basic Framework
20%
discrete-time
20%
Switching State
20%
Methodological Research
20%
Repeated Measurement
20%
Statistical Technique
20%
Affect Regulation
20%
Neuroscience
Autoregressive Process
100%
Time Series Model
66%
Research Design
33%
Time Series Analysis
33%
Markov Models
33%
Biochemistry, Genetics and Molecular Biology
Sampling
100%
Dynamics
60%