P. Molenaar

L. Waldorp, P. Molenaar, C. Dolan, 2000, Proceedings of the 2000 IEEE Sensor Array and Multichannel Signal Processing Workshop. SAM 2000 (Cat. No.00EX410).

The Pennsylvania State University The Graduate School College of Health and Human Development NOVEL ESTIMATION METHOD FOR ARRIVING AT GROUP CONNECTIVITY MAPS WITH FMRI DATA A Dissertation in Human Development and Family Studies

P. Molenaar, M. Rovine, R. Gilmore, 2011 .

Stochastic Maximum Likelihood Array Processing for Rank Deficient Array Manifolds

L. Waldorp, P. Molenaar, R. Grasman, 2005 .

Hidden Markov model interpretations of neural networks

M. Raijmakers, P. Molenaar, I. Visser, 2000, Behavioral and Brain Sciences.

On the necessity to use person-specific data analysis approaches in psychology

P. Molenaar, 2013 .

An Alternative Framework to Investigating and Understanding Intraindividual Processes in Substance Abuse Recovery

P. Molenaar, K. Harris, Yao Zheng, 2015, Evaluation review.

Advances in Dynamic Factor Analysis of Psychological Processes

P. Molenaar, N. Ram, Nilam Ram, 2009 .

Forum discussion of the manifesto's aggregation act

P. Molenaar, 2004 .

Spectral analysis of twin time series designs.

D. Boomsma, P. Molenaar, D. Boomsma, 1987, Acta geneticae medicae et gemellologiae.

Using factor scores to detect G × E Interactive Origin of “pure” genetic or environmental factors obtained in genetic covariance structure analysis

D. Boomsma, D. Rao, G. Vogler, 1990, Genetic epidemiology.

Consequences of the Ergodic Theorems for Classical Test Theory, factor Analysis, and the Analysis of Developmental Processes

P. Molenaar, 2008 .

Dynamic factor analysis: An application to emotional response patterns underlying daughter/father and stepdaughter/stepfather relationships

S. Hershberger, P. Molenaar, S. E. Corneal, 1995 .

Estimating analysis of variance models as structural equation models

P. Molenaar, M. Rovine, 2002 .

A developmental model of hierarchical stage structure in objective moral judgements

P. Molenaar, J. Boom, 1989 .

Testing Specific Hypotheses Concerning Latent Group Differences in Multi-group Covariance Structure Analysis with Structured Means.

P. Molenaar, C. Dolan, 1994, Multivariate behavioral research.

(Re)evaluating the Implications of the Autoregressive Latent Trajectory Model Through Likelihood Ratio Tests of Its Initial Conditions

Sy-Miin Chow, P. Molenaar, Lu Ou, 2017, Multivariate behavioral research.

The future of dynamic factor analysis in psychology and biomedicine.

P. Molenaar, 2006, Bulletin de la Societe des sciences medicales du Grand-Duche de Luxembourg.

Estimating both directed and undirected contemporaneous relations in time series data using hybrid-group iterative multiple model estimation.

P. Molenaar, A. Beltz, K. Gates, 2022, Psychological methods.

Catherine Pelachaud, Norman I. Badler, and Mark Steedman

Risto Miikkulainen, Daniel Jurafsky, Peter C. M. Molenaar, 1996 .

Dynamic models of biological pattern formation have some surprising implications for understanding the epigenetics of development.

P. Molenaar, L. Lo, 2013 .

Describing and Controlling Multivariate Nonlinear Dynamics: A Boolean Network Approach

P. Molenaar, N. Ram, P. Cole, 2020, Multivariate behavioral research.

Detection of Developmental Transitions

H.L.J. van der Maas, G. Savelsbergh, P. Molenaar, 1999 .

Simultaneous genetic analysis of longitudinal means and covariance structure using the simplex model: application to repeatedly measured weight in a sample of 164 female twins.

D. Boomsma, P. Molenaar, S. Fischbein, 1990, Acta geneticae medicae et gemellologiae.

New Section of the JPOR: Subject-Specific Studies

P. Molenaar, 2015 .

5 – Catastrophe Theory of Stage Transitions in Metrical and Discrete Stochastic Systems

P. Molenaar, P. Hartelman, 1996 .

Estimating the actual subject-specific genetic correlations in behavior genetics

P. Molenaar, 2012, Behavioral and Brain Sciences.

Some conceptual deficiencies in developmental behavior genetics: Commentary.

R. L. Burgess, P. Molenaar, 1995 .

The Detection Of Genotype-Environment Interaction In Longitudinal Genetic Models

D. Boomsma, P. Molenaar, C. Dolan, 1999 .

Erratum to: The effects of foot position and orientation on inter- and intra-foot coordination in standing postures: a frequency domain PCA analysis

K. Newell, P. Molenaar, Z. Wang, 2013, Experimental Brain Research.

On the Arbitrary Nature of Latent Variables

A. von Eye, P. Molenaar, A. Eye, 1994 .

On Standardized Measurement in Behavioral Science

P. Molenaar, J. Nesselroade, 2022, Journal for person-oriented research.

The Impact of Variation in Twin Relatedness on Estimates of Heritability and Environmental Influences

P. Molenaar, J. Neiderhiser, Chang Liu, 2017, Behavior Genetics.

Person-Specific Non-shared Environmental Influences in Intra-individual Variability: A Preliminary Case of Daily School Feelings in Monozygotic Twins

P. Molenaar, D. Almeida, Yao Zheng, 2016, Behavior Genetics.

Examining network dynamics after traumatic brain injury using the extended unified SEM approach

F. Hillary, P. Molenaar, J. Medaglia, 2012, Brain Imaging and Behavior.

Dynamic Latent Variable Models in Developmental Psychology

Peter C. M. Molenaar, P. Molenaar, 1994 .

A third source of developmental differences

Peter C. M. Molenaar, Dorret I. Boomsma, Conor V. Dolan, 1993, Behavior genetics.

Estimation of Subject-Specific Heritabilities From Intra-Individual Variation: iFACE

D. Smit, D. Boomsma, P. Molenaar, 2012, Twin Research and Human Genetics.

Human behavioral biology: commentary on Lerner and von Eye's sociobiology and human development

R. L. Burgess, P. Molenaar, 1993 .

Genetic and environmental factors in a developmental perspective.

D. Boomsma, P. Molenaar, C. Dolan, 1991 .

Characterizing sequence knowledge using online measures and hidden Markov models

M. Raijmakers, P. Molenaar, I. Visser, 2007, Memory & cognition.

A LISREL model for the analysis of repeated measures with a patterned covariance matrix

P. Molenaar, M. Rovine, 1998 .

A Biological Plausible Maturation of an ART Network

Peter C. M. Molenaar, Maartje E. J. Raijmakers, M. Raijmakers, 1999, IWANN.

Selecting a linear mixed model for longitudinal data: repeated measures analysis of variance, covariance pattern model, and growth curve approaches.

Peter C M Molenaar, P. Molenaar, M. Rovine, 2012, Psychological methods.

Extended unified SEM approach for modeling event-related fMRI data

Kathleen M. Gates, Peter C. M. Molenaar, Frank G. Hillary, 2011, NeuroImage.

How to decide whether a neural representation is a cognitive concept?

Peter C. M. Molenaar, Maartje E. J. Raijmakers, M. Raijmakers, 1995, Behavioral and Brain Sciences.

A Square-Root Second-Order Extended Kalman Filtering Approach for Estimating Smoothly Time-Varying Parameters

Kathleen M. Gates, Peter C. M. Molenaar, Vladas Pipiras, 2020, Multivariate behavioral research.

State space modeling of time-varying contemporaneous and lagged relations in connectivity maps

Kathleen M. Gates, Stephen J. Wilson, Peter C.M. Molenaar, 2016, NeuroImage.

Optimal measurement conditions for spatiotemporal eeg/meg source analysis

Peter C. M. Molenaar, Dirk J. Heslenfeld, Hilde M. Huizenga, 2002 .

A note on chaotic behavior in simple neural networks

Paul F. M. J. Verschure, Peter C. M. Molenaar, Han L. J. van der Maas, 1990, Neural Networks.

Individual differences in P300 amplitude: a genetic study in adolescent twins

D. Boomsma, P. Molenaar, E. D. Geus, 1998, Biological Psychology.

Heritability of human brain functioning as assessed by electroencephalography.

D I Boomsma, P C Molenaar, D. Boomsma, 1996, American journal of human genetics.

Short-term non-stationarity and the development of postural control

Karl M. Newell, Peter C. M. Molenaar, Semyon Slobounov, 1997 .

The Changing Role of the Embryo in Evolutionary Thought: Roots of Evo–DevoR. Amundson (2005). Cambridge, United Kingdom: Cambridge University Press

P. Molenaar, 2008, Twin Research and Human Genetics.

Dynamic Factor Analysis of Psychophysiological Signals

P. Molenaar, P.C.M. Molenaar, 1994 .

A dynamic factor model for the analysis of multivariate time series

Peter C. M. Molenaar, P. Molenaar, 1985 .

Group search algorithm recovers effective connectivity maps for individuals in homogeneous and heterogeneous samples

Kathleen M. Gates, Peter C. M. Molenaar, P. Molenaar, 2012, NeuroImage.

Simultaneous genetic analysis of longitudinal means and covariance structure in the simplex model using twin data

D. Boomsma, P. Molenaar, C. Dolan, 1991, Behavior genetics.

Factor and simplex models for repeated Measures: Application to two psychomotor measures of alcohol sensitivity in twins

D I Boomsma, P C Molenaar, N. Martin, 1989, Behavior genetics.

The Individual Day-to-Day Process of Social Anxiety in Vulnerable College Students

Cynthia G. Campbell, K. Bierman, P. Molenaar, 2016 .

Behavioral modulation patterns fit an animal model of vagus-cardiac pacemaker interactions.

M. W. van der Molen, J. Jennings, P. Molenaar, 1991, Psychophysiology.

The Genetic Basis of Problem Behavior in 5-Year-Old Dutch Twin Pairs

D. Boomsma, P. Molenaar, F. Verhulst, 2004, Behavior genetics.

Revisiting measurement invariance in intelligence testing in aging research: Evidence for almost complete metric invariance across age groups

Briana N Sprague, Jinshil Hyun, P. Molenaar, 2017, Journal for person-oriented research.

A voxelwise approach to determine consensus regions-of-interest for the study of brain network plasticity

Peter C. M. Molenaar, Sarah M. Rajtmajer, Arnab Roy, 2015, Front. Neuroanat..

Person-Specific Non-shared Environmental Influences in Intra-individual Variability: A Preliminary Case of Daily School Feelings in Monozygotic Twins

P. Molenaar, D. Almeida, R. Arden, 2016, Behavior genetics.

Emphasizing Intraindividual Variability in the Study of Development Over the Life Span

P. Molenaar, J. Nesselroade, 2010 .

Implications for behavior genetics research: No shared environment left?

D. Boomsma, P. Molenaar, D. Boomsma, 1991, Behavioral and Brain Sciences.

Modeling developmental transitions in adaptive resonance theory.

Peter C M Molenaar, M. Raijmakers, P. Molenaar, 2004, Developmental science.

Exact ART: A Complete Implementation of an ART Network

Peter C. M. Molenaar, Maartje E. J. Raijmakers, M. Raijmakers, 1997, Neural Networks.

Numerical bifurcation analysis of distance-dependent on-center off-surround shunting neural networks

Peter C. M. Molenaar, Han L. J. van der Maas, Maartje E. J. Raijmakers, 1996, Biological Cybernetics.

An experimental test of rule-like network performance

Peter C. M. Molenaar, Maartje E. J. Raijmakers, M. Raijmakers, 1996 .

On the Validity of Simulating Stagewise Development by Means of PDP Networks: Application of Catastrophe Analysis and an Experimental Test of Rule-Like Network Performance

Peter C. M. Molenaar, Maartje E. J. Raijmakers, Sylvester von Koten, 1996, Cogn. Sci..

Catastrophe phase transitions in exact ART networks

P.C.M. Molenaar, M.E.J. Raijmakers, M. Raijmakers, 1993 .

Control Theory Forecasts of Optimal Training Dosage to Facilitate Children’s Arithmetic Learning in a Digital Educational Application

Abe D. Hofman, H.L.J. van der Maas, Sy-Miin Chow, 2022, Psychometrika.

Resemblances of parents and twins in sports participation and heart rate

D. Boomsma, P. Molenaar, J. Orlebeke, 1989, Behavior genetics.

Optimal control of psychological processes: a new computational paradigm.

K O Sinclair, P C M Molenaar, P. Molenaar, 2008, Bulletin de la Societe des sciences medicales du Grand-Duche de Luxembourg.

From neural constructivism to cognitive constructivism : The steps to be taken

H.L.J. van der Maas, P. Molenaar, 1999 .

Age, intelligence, and event-related brain potentials during late childhood: A longitudinal study

P. Molenaar, J. Stauder, W. MolenvanderM., 2003 .

Time dependence of coupling in frequency-scaled bimanual coordination

K. Newell, P. Molenaar, E. James, 2011, Neuroscience Letters.

Visual information and multi-joint coordination patterns in one-leg stance.

Karl M Newell, Zheng Wang, Peter C M Molenaar, 2014, Gait & posture.

The effects of foot position and orientation on inter- and intra-foot coordination in standing postures: a frequency domain PCA analysis

K. Newell, P. Molenaar, Z. Wang, 2013, Experimental Brain Research.

Concepts, Theory, and Method in Developmental Science

Peter C. M. Molenaar, Willis F. Overton, W. Overton, 2015 .

Theory and method

G. Lindzey, W. Overton, P. Molenaar, 1985 .

Using LISREL to analyze genetic and environmental covariance structure

D I Boomsma, P C Molenaar, D. Boomsma, 1986, Behavior genetics.

CHAPTER 1 Concepts , Theory , and Method in Developmental Science A View of the Issues

W. Overton, P. Molenaar, 2015 .

Frequency domain simultaneous source and source coherence estimation with an application to MEG

Peter C. M. Molenaar, Lourens J. Waldorp, Koen B. E. Böcker, 2004, IEEE Transactions on Biomedical Engineering.

A quantitative method for the analysis of nomothetic relationships between idiographic structures: dynamic patterns create attractor states for sustained posttreatment change.

P. Molenaar, A. Fisher, M. Newman, 2011, Journal of consulting and clinical psychology.

Fitting hidden Markov models to psychological data

Peter C. M. Molenaar, Maartje E. J. Raijmakers, Ingmar Visser, 2002, Sci. Program..

Stochastic maximum likelihood mean and cross-spectrum structure modelling in neuro-magnetic source estimation

Peter C. M. Molenaar, Lourens J. Waldorp, Koen B. E. Böcker, 2005, Digit. Signal Process..

Model selection in spatio-temporal electromagnetic source analysis

Peter C. M. Molenaar, Arye Nehorai, Lourens J. Waldorp, 2005, IEEE Transactions on Biomedical Engineering.

Automatic search for fMRI connectivity mapping: An alternative to Granger causality testing using formal equivalences among SEM path modeling, VAR, and unified SEM

Kathleen M. Gates, Peter C. M. Molenaar, Frank G. Hillary, 2010, NeuroImage.

The Effect of Individual Differences in Factor Loadings on the Standard Factor Model

P. Molenaar, H. Kelderman, 2007 .

State Space Techniques in Structural Equation Modeling Transformation of latent variables in and out of latent variable models

Peter C. M. Molenaar, P. Molenaar, 2003 .

Analysis of emotional response patterns for adolescent stepsons using P-technique factor analysis

P. Molenaar, M. Rovine, S. E. Corneal, 1999 .

Time Series Analysis and its Relationship with Longitudinal Analysis

P C Molenaar, P. Molenaar, 1997, International journal of sports medicine.

Psychological Methodology will Change Profoundly Due to the Necessity to Focus on Intra-individual Variation

P. Molenaar, 2007, Integrative psychological & behavioral science.

PSPAT: a program for spectral analysis of point events including a test for stationarity

Peter C. M. Molenaar, M. W. van der Molen, E.J.M. Weber, 1991 .

Hypothesis testing in distributed source models for EEG and MEG data

Peter C M Molenaar, Hilde M Huizenga, Lourens J Waldorp, 2006, Human brain mapping.

Ordinary least squares dipole localization is influenced by the reference.

P C Molenaar, H M Huizenga, P. Molenaar, 1996, Electroencephalography and clinical neurophysiology.

Dynamic Models of Biological Pattern Formation Have Surprising Implications for Understanding the Epigenetics of Development

P. Molenaar, 2014, Advances in child development and behavior.

Testing all six person-oriented principles in dynamic factor analysis

Peter C M Molenaar, P. Molenaar, 2010, Development and Psychopathology.

The genetic analysis of repeated measures. I. Simplex models

D I Boomsma, P C Molenaar, D. Boomsma, 1987, Behavior genetics.

Cognitive psychophysiology: a window to cognitive development and brain maturation.

M. W. Molen, P. Molenaar, 1994 .

Neural networks simulation of a discrete model of continious effects of irrelevant stimuli

Peter C. M. Molenaar, P. Molenaar, 1990 .

Steps to a formal analysis of the cognitive-energetic model of stress and human performance.

P C Molenaar, M. W. van der Molen, P. Molenaar, 1986, Acta psychologica.

The integrated trait–state model

Peter C. M. Molenaar, Ellen L. Hamaker, John R. Nesselroade, 2007 .

Constrained maximum likelihood analysis of familial resemblance of twins and their parents.

D. Boomsma, P. Molenaar, D. Boomsma, 1987, Acta geneticae medicae et gemellologiae.

On the relation between person-oriented and subject-specific approaches

Peter C. M. Molenaar, P. Molenaar, 2015 .

Systems Methods for Developmental Research

Peter C. M. Molenaar, John R. Nesselroade, P. Molenaar, 2015 .

An Interpretation of Part of Gilbert Gottlieb’s Legacy: Developmental Systems Theory Contra Developmental Behavior Genetics

P. Molenaar, 2015 .

Organizing Heterogeneous Samples Using Community Detection of GIMME-Derived Resting State Functional Networks

Kathleen M. Gates, Peter C. M. Molenaar, Damien A. Fair, 2014, PloS one.

Direct fit of a theoretical model of phase transition in oscillatory finger motions.

Karl M Newell, Peter C M Molenaar, K. Newell, 2003, The British journal of mathematical and statistical psychology.

Additional aspects of third source variation for the genetic analysis of human development and behaviour: a commentary on Eaves et al.

M. Raijmakers, P. Molenaar, Peter C. M. Molenaar, 1999, Twin Research.

On the impossibility of acquiring more powerful structures: A neglected alternative.

Peter C. M. Molenaar, P. Molenaar, 1986 .

Person-Oriented and Subject-Specific Methodology: Some Additional Remarks

Peter C. M. Molenaar, P. Molenaar, 2016 .

Author's Response to Commentaries on: "An Interpretation of Part of Gilbert Gottlieb's Legacy: Developmental Systems Theory Contra Developmental Behavior Genetics".

P. Molenaar, 2015 .

Commentary on: 'Piaget's stages: the unfinished symphony of cognitive development' by D. H. Feldman

Peter C. M. Molenaar, P. Molenaar, J. MaasvanderH.L., 2004 .

Note on optimization of individual psychotherapeutic processes

Peter C. M. Molenaar, P. Molenaar, 2010 .

Rotation in the dynamic factor modeling of multivariate stationary time series

Peter C. M. Molenaar, John R. Nesselroade, P. Molenaar, 2001 .

A Structural Modeling Approach to a Multilevel Random Coefficients Model

M J Rovine, P C Molenaar, P. Molenaar, 2000, Multivariate behavioral research.

Heart rate and sustained attention during childhood: age changes in anticipatory heart rate, primary bradycardia, and respiratory sinus arrhythmia.

P C Molenaar, M. W. van der Molen, E. Weber, 1994, Psychophysiology.

ASPECTS OF PSYCHOPHYSIOLOGICAL DATA ANALYSIS: EEG COHERENCY AND fMRI CONNECTIVITY MAPPING

P. Molenaar, K. Gates, 2012 .

Examining working memory task acquisition in a disrupted neural network.

John D Medaglia, Kathleen Gates, F. Hillary, 2011, Brain : a journal of neurology.

A Comparison of Pseudo-Maximum Likelihood and Asymptotically Distribution-Free Dynamic Factor Analysis Parameter Estimation in Fitting Covariance-Structure Models to Block-Toeplitz Matrices Representing Single-Subject Multivariate Time-Series.

Peter C. M. Molenaar, John R. Nesselroade, P. Molenaar, 1998, Multivariate behavioral research.

Modeling the Individual

Peter C. M. Molenaar, Adriene M. Beltz, P. Molenaar, 2020 .

Estimation of individual genetic and environmental factor scores

D. Boomsma, D. Rao, G. Vogler, 1990, Genetic epidemiology.

Socioemotional Dynamics of Emotion Regulation and Depressive Symptoms: A Person-Specific Network Approach

Xiao Yang, Peter C. M. Molenaar, David M. Lydon-Staley, 2018, Complex..

A posteriori model validation for the temporal order of directed functional connectivity maps

Peter C. M. Molenaar, Adriene M. Beltz, P. Molenaar, 2015, Front. Neurosci..

Mapping Temporal Dynamics in Social Interactions With Unified Structural Equation Modeling: A Description and Demonstration Revealing Time-Dependent Sex Differences in Play Behavior

Peter C M Molenaar, Adriene M Beltz, P. Molenaar, 2013, Applied developmental science.

Pooling Lagged Covariance Structures Based on Short, Multivariate Time Series for Dynamic Factor Analysis

R. Hoyle, P. Molenaar, J. Nesselroade, 1999 .

Issues with a Rule-Sampling Theory of Conservation Learning from a Structuralist Point of View

P. Molenaar, 1986 .

Fitting the cusp catastrophe model

H.L.J. van der Maas, Peter C. M. Molenaar, Eric-Jan Wagenmakers, 2005 .

ARMA-Based SEM When the Number of Time Points T Exceeds the Number of Cases N: Raw Data Maximum Likelihood

Peter C. M. Molenaar, Ellen L. Hamaker, Conor V. Dolan, 2003 .

On the Nature of SEM Estimates of ARMA Parameters

Peter C. M. Molenaar, Ellen L. Hamaker, Conor V. Dolan, 2002 .

The covariance between level and shape in the latent growth curve model with estimated basis vector coefficients

Peter C. M. Molenaar, P. Molenaar, M. Rovine, 1998 .

The person-specific interplay of melatonin, affect, and fatigue in the context of sleep and depression

Peter C. M. Molenaar, Peter de Jonge, Adriene M. Beltz, 2018 .

iVAR: A program for imputing missing data in multivariate time series using vector autoregressive models

Peter C M Molenaar, Siwei Liu, P. Molenaar, 2014, Behavior research methods.

Changes in alcohol-related brain networks across the first year of college: a prospective pilot study using fMRI effective connectivity mapping.

Anna S. Engels, Peter C M Molenaar, Stephen J Wilson, 2013, Addictive behaviors.

Simultaneous genetic analysis of means and covariance structure: Pearson-Lawley selection rules

D. Boomsma, P. Molenaar, C. Dolan, 1994, Behavior genetics.

Decomposition of multivariate phenotypic means in multigroup genetic covariance structure analysis

D. Boomsma, P. Molenaar, C. Dolan, 1992, Behavior genetics.

LISREL analysis of twin data with structured means

D. Boomsma, P. Molenaar, C. Dolan, 1989, Behavior genetics.

Application of nonlinear factor analysis to genotype-environment interaction

D. Boomsma, P. Molenaar, D. Boomsma, 1987, Behavior genetics.

Dynamic factor analysis of nonstationary multivariate time series

Peter C. M. Molenaar, Jan G. De Gooijer, Bernhard Schmitz, 1992 .

Fitting nonlinear dynamical models directly to observed time series

P.C.M. Molenaar, M.E.J. Raymakers, P. Molenaar, 1998 .

Brain activity and cognitive transition during childhood: A longitudinal event-related brain potential study.

M. W. Molen, P. Molenaar, J. Stauder, 1999 .

P. Molenaar, J. Stauder, M. van der Molen, 1995, Electroencephalography and clinical neurophysiology. Supplement.

Scalp topography of event-related brain potentials and cognitive transition during childhood.

M. W. van der Molen, P. Molenaar, J. Stauder, 1993, Child development.

Time Series Analysis for Psychological Research

Peter C. M. Molenaar, Wayne F. Velicer, W. Velicer, 2012 .

Testing for Granger Causality in the Frequency Domain: A Phase Resampling Method

Peter Molenaar, P. Molenaar, Siwei Liu, 2016, Multivariate behavioral research.

iVAR: A program for imputing missing data in multivariate time series using vector autoregressive models

P. Molenaar, Siwei Liu, 2014, Behavior Research Methods.

A Nonstandard Method for Estimating a Linear G rowth Model in LISREL

Peter C. M. Molenaar, P. Molenaar, M. Rovine, 1998 .

Comment on fitting MA time series by structural equation models

Peter C. M. Molenaar, P. Molenaar, 1999 .

Adult Age Differences in Covariation of Motivation and Working Memory Performance: Contrasting Between-Person and Within-Person Findings

U. Lindenberger, P. Molenaar, M. Lövdén, 2010 .

Effects of adult day care on daily stress of caregivers: a within-person approach.

P. Molenaar, D. Almeida, Kyungmin Kim, 2011, The journals of gerontology. Series B, Psychological sciences and social sciences.

Real-time visual feedback of COM and COP motion properties differentially modifies postural control structures

Karl M. Newell, Peter C. M. Molenaar, Melissa C. Kilby, 2016, Experimental Brain Research.

Model selection in electromagnetic source analysis with an application to VEFs

Peter C. M. Molenaar, Lourens J. Waldorp, Jan C. de Munck, 2002, IEEE Transactions on Biomedical Engineering.

Estimating and Testing the Sources of Evoked Potentials in the Brain.

P C Molenaar, H M Huizenga, P. Molenaar, 1994, Multivariate behavioral research.

Equivalent Dynamic Models

Peter C M Molenaar, P. Molenaar, 2017, Multivariate behavioral research.

Estimated generalized least squares electromagnetic source analysis based on a parametric noise covariance model [EEG/MEG]

Peter C. M. Molenaar, Lourens J. Waldorp, Conor V. Dolan, 2001, IEEE Transactions on Biomedical Engineering.

Detecting Task-Dependent Functional Connectivity in Group Iterative Multiple Model Estimation with Person-Specific Hemodynamic Response Functions

Martin A. Lindquist, Kathleen M. Gates, Peter C. M. Molenaar, 2021, Brain Connect..

Running Head: Some Behavioral Science Measurement Concerns and Proposals

P. Molenaar, J. Nesselroade, 2013 .

Dynamic Factor Analysis in the Frequency Domain: Causal Modeling of Multivariate Psychophysiological Time Series.

P C Molenaar, P. Molenaar, 1987, Multivariate behavioral research.

CHILDREN'S CONCEPTIONS OF SELFHOOD AND OTHERS: SELF-OTHER DIFFERENTIATION

L. Oppenheimer, P. Molenaar, Nel Warnars-Kleverlaan, 1990 .

A Note on the Scope of Developmental Behaviour Genetics

P. Molenaar, C. Dolan, 1995 .

Using Fit Indexes to Select a Covariance Model for Longitudinal Data

P. Molenaar, M. Rovine, Siwei Liu, 2012 .

Daily parent-adolescent cortisol associations: Unpacking the direction of effects

P. Molenaar, D. Almeida, Melissa A. Lippold, 2020, Psychoneuroendocrinology.

A Biologically Plausible Maturation of an ART Network

Maartje E. J. Raijmakers, Peter C. M. Molenaar, M. Raijmakers, 2000, NCPW.

A hierarchy of univariate and multivariate structural time series models

Peter C. M. Molenaar, Scott L. Hershberger, S. Hershberger, 1996 .

The Impact of Variation in Twin Relatedness on Estimates of Heritability and Environmental Influences

P. Molenaar, J. Neiderhiser, Chang Liu, 2018, Behavior genetics.

Granger Causality Testing with Intensive Longitudinal Data

Peter C M Molenaar, P. Molenaar, 2018, Prevention Science.

Back to the Future: The European Academy for the Medicine of Ageing Revisited

Brian P. Flaherty, M. Sliwinski, T. Salthouse, 2002, Gerontology.

Simultaneous MEG and EEG source analysis.

P C Molenaar, H M Huizenga, T L van Zuijen, 2001, Physics in medicine and biology.

Using structural equation modeling to fit models incorporating principal components

Peter C. M. Molenaar, Conor V. Dolan, Timo M. Bechger, 1999 .

Affect and Personality: Ramifications of Modeling (Non-)Directionality in Dynamic Network Models.

Sy-Miin Chow, P. Molenaar, Z. Fisher, 2020, European journal of psychological assessment : official organ of the European Association of Psychological Assessment.

A framework for ML estimation of parameters of (mixtures of) common reaction time distributions given optional truncation or censoring

Peter C. M. Molenaar, Conor V. Dolan, Han L. J. Maas, 2002, Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc.

Confidence intervals for hidden Markov model parameters.

P C Molenaar, I Visser, M. Raijmakers, 2000, The British journal of mathematical and statistical psychology.

A comparison of four methods of calculating standard errors of maximum likelihood estimates in the analysis of covariance structure.

Peter C. M. Molenaar, Conor V. Dolan, P. Molenaar, 1991 .

4 – Catastrophe Analysis of Discontinuous Development

Peter C. M. Molenaar, H.L.J. van der Maas, H.L.J. van der Maas, 1996 .

Evaluating Discrete Time Methods for Subgrouping Continuous Processes.

Sy-Miin Chow, P. Molenaar, Z. Fisher, 2023, Multivariate behavioral research.

Estimating and Testing the Sources of Evoked Potentials in the Brain.

P. Molenaar, H. Huizenga, 1994, Multivariate behavioral research.

Analyzing Intra-person Variation: Hybridizing the ACE Model with P-Technique Factor Analysis and the Idiographic Filter

P. Molenaar, J. Nesselroade, 2010, Behavior genetics.