Individual pathways of change: Statistical models for analyzing learning and development.
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Published By American Psychological Association

1433807726, 1433807734, 9781433807725, 9781433807732

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On an emerging third discipline of scientific psychology.

Individual pathways of change: Statistical models for analyzing learning and development. ◽

10.1037/12140-012 ◽

2010 ◽

pp. 209-218 ◽

Cited By ~ 12

Author(s):

John R. Nesselroade

Keyword(s):

Scientific Psychology

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A state space approach to representing discontinuous shifts in change processes.

Individual pathways of change: Statistical models for analyzing learning and development. ◽

10.1037/12140-006 ◽

2010 ◽

pp. 87-108

Author(s):

Sy-Miin Chow ◽

Guillaume Filteau

Keyword(s):

State Space ◽

Change Processes ◽

State Space Approach ◽

Space Approach

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Modeling retest and aging effects in a measurement burst design.

Individual pathways of change: Statistical models for analyzing learning and development. ◽

10.1037/12140-003 ◽

2010 ◽

pp. 37-50 ◽

Cited By ~ 13

Author(s):

Martin Sliwinski ◽

Lesa Hoffman ◽

Scott Hofer

Keyword(s):

Aging Effects

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Regime-switching models to study psychological processes.

Individual pathways of change: Statistical models for analyzing learning and development. ◽

10.1037/12140-009 ◽

2010 ◽

pp. 155-168 ◽

Cited By ~ 8

Author(s):

Ellen L. Hamaker ◽

Raoul P. P. P. Grasman ◽

Jan Henk Kamphuis

Keyword(s):

Regime Switching ◽

Psychological Processes ◽

Regime Switching Models ◽

Switching Models

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State space methods for item response modeling of multisubject time series.

Individual pathways of change: Statistical models for analyzing learning and development. ◽

10.1037/12140-008 ◽

2010 ◽

pp. 125-151 ◽

Cited By ~ 4

Author(s):

Peter van Rijn ◽

Conor V. Dolan ◽

Peter C. M. Molenaar

Keyword(s):

Time Series ◽

State Space ◽

Item Response ◽

Item Response Modeling ◽

State Space Methods ◽

Response Modeling

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Modeling mother–infant interactions using hidden Markov models.

Individual pathways of change: Statistical models for analyzing learning and development. ◽

10.1037/12140-004 ◽

2010 ◽

pp. 51-67 ◽

Cited By ~ 5

Author(s):

Michael J. Rovine ◽

Katerina O. Sinclair ◽

Cynthia A. Stifter

Keyword(s):

Hidden Markov Models ◽

Markov Models ◽

Hidden Markov

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Standard error estimation in stationary multivariate time series models using residual-based bootstrap procedures.

Individual pathways of change: Statistical models for analyzing learning and development. ◽

10.1037/12140-010 ◽

2010 ◽

pp. 169-182 ◽

Cited By ~ 3

Author(s):

Guangjian Zhang ◽

Sy-Miin Chow

Keyword(s):

Time Series ◽

Error Estimation ◽

Standard Error ◽

Multivariate Time Series ◽

Time Series Models ◽

Standard Error Estimation

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A framework for discrete change.

Individual pathways of change: Statistical models for analyzing learning and development. ◽

10.1037/12140-007 ◽

2010 ◽

pp. 109-123

Author(s):

Ingmar Visser ◽

Brenda R. J. Jansen ◽

Maarten Speekenbrink

Keyword(s):

Discrete Change

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Decomposing the performance dynamics of learning through time scales.

Individual pathways of change: Statistical models for analyzing learning and development. ◽

10.1037/12140-005 ◽

2010 ◽

pp. 71-86 ◽

Cited By ~ 4

Author(s):

Karl M. Newell ◽

Gottfried Mayer-Kress ◽

S. Lee Hong ◽

Yeou-Teh Liu

Keyword(s):

Time Scales

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Modeling resilience with differential equations.

Individual pathways of change: Statistical models for analyzing learning and development. ◽

10.1037/12140-011 ◽

2010 ◽

pp. 183-206 ◽

Cited By ~ 5

Author(s):

Steven M. Boker ◽

Mignon A. Montpetit ◽

Michael D. Hunter ◽

Cindy S. Bergeman

Keyword(s):

Differential Equations

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Individual pathways of change: Statistical models for analyzing learning and development.Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By American Psychological Association

On an emerging third discipline of scientific psychology.

A state space approach to representing discontinuous shifts in change processes.

Modeling retest and aging effects in a measurement burst design.

Regime-switching models to study psychological processes.

State space methods for item response modeling of multisubject time series.

Modeling mother–infant interactions using hidden Markov models.

Standard error estimation in stationary multivariate time series models using residual-based bootstrap procedures.

A framework for discrete change.

Decomposing the performance dynamics of learning through time scales.

Modeling resilience with differential equations.

Individual pathways of change: Statistical models for analyzing learning and development.
Latest Publications