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Johan H.L. Oud
Email j.oud@pwo.ru.nl
Website http://www.socsci.ru.nl/~hano/
Voice +31-24-3230930
Johan H.L. (Han) Oud worked before his retirement in 2008 as an associate professor in
longitudinal research methods and statistics
at the Behavioural Science Institute of the Radboud University Nijmegen
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METHODOLOGICAL AND STATISTICAL
Voelkle, M. C., & Oud, J. H. L. (in press). Continuous time
modeling with individually varying time intervals for oscillating and nonoscillating
processes. British Journal of Mathematical and Statistical Psychology.
Voelkle, M. C., Oud, J. H. L., Davidov, E., & Schmidt, P. (in press). An SEM approach
to continuous time modeling of panel data: relating authoritarianism and anomia. Psychological
Methods.
Voelkle, M. C., Oud, J. H. L., von Oertzen, T., & Lindenberger, U. (in press). Maximum
likelihood dynamic factor modeling for arbitrary N and T using SEM. Structural
Equation Modeling.
Oud, J. H. L., & Folmer. H., Patuelli, R., & Nijkamp, P. (2012). Continuous-time
modeling with spatial dependence. Geographical Analysis, 44, 29-46. (downloads: OudFolmerPatuelli&Nijkamp2012.zip)
Oud, J. H. L. & Folmer. H. (2011). Reply to Steele & Ferrer: Modeling oscillation,
approximately or exactly? Multivariate Behavioral Research, 46, 985-993.
(downloads: Voelkle&Oud2011.zip)
Liu, A., Folmer, H., & Oud, J. H. L. (2011). Estimating spillovers by classical
W-based or latent spatial autoregressive models: evidence from Monte Carlo simulations. Letters
in Spatial and Resource Sciences, 4, 71-80.
Oud, J. H. L. (2010). Second-order stochastic differential equation model as an
alternative for the ALT and CALT models. Advances in Statistical Analysis, 94,
202-215.
Oud, J. H. L., & Delsing, M. J. M. H. (2010). Continuous time modeling of panel data
by means of SEM. In K. van Montfort, J. Oud & A. Satorra (Eds.), Longitudinal
research with latent variables (pp. 201-244). New York: Springer.
Folmer, H., & Oud, J. H. L. (2008). How to get rid of W: a latent variables appoach to
modelling spatially lagged variables. Environment and Planning A, 40, 2526-2538.
(downloads: Folmer&Oud2008.zip)
Oud, J. H. L., & Folmer, H. (2008). A structural equation approach to models with
spatial dependence. Geographical Analysis, 40, 152-166. (downloads: Oud&Folmer2008.zip)
Oud, J. H. L., & Singer, H. (2008). Continuous time modeling of panel data: SEM versus
filter techniques. Statistica Neerlandica, 62, 4-28.
Delsing, M. J. M. H., & Oud, J. H. L. (2008). Analyzing reciprocal relationships by
means of the continuous-time autoregressive latent trajectory model. Statistica
Neerlandica, 62, 58-82. (downloads: Delsing&Oud2008.zip)
Toharudin, T., Oud, J. H. L., & Billiet, J. B. (2008). Assessing the relationships
between Nationalism, Ethnocentrism, and Individualism in Flanders using Bergstrom's
approximate discrete model. Statistica Neerlandica, 62, 83-109.
Oud, J. H. L. (2007). Continuous time modeling of reciprocal relationships in the
cross-lagged panel design. In S.M. Boker & M.J. Wenger (Eds.), Data analytic
techniques for dynamical systems in the social and behavioral sciences (pp. 87-129).
Mahwah, NJ: Lawrence Erlbaum Associates. (downloads: Oud2007b.zip)
Oud, J. H. L. (2007). Comparison of four procedures to estimate the damped linear
differential oscillator for panel data. In K. van Montfort, J. Oud & A. Satorra
(Eds.), Longitudinal models in the behavioral and related sciences (pp. 19-39).
Mahwah, NJ: Lawrence Erlbaum Associates. (downloads: Oud2007a.zip)
Delsing, M. J. M. H., Oud, J. H. L., & De Bruyn, E.E.J. (2005). Assessment of bidirectional influences between family
relationships and adolescent problem behavior: Discrete vs. continuous time analysis. European
Journal of Psychological Assessment, 21, 226-231.
Oud, J. H. L. (2004). SEM state space modeling of panel data in discrete and
continuous time and its relationship to traditional state space modeling. In K. van
Montfort, J. Oud & A. Satorra (Eds.), Recent developments on structural equations
models: Theory and applications (pp. 13-40). Dordrecht: Kluwer Academic Publishers.
Oud, J. H. L. (2002). Continuous time modeling of the cross-lagged panel design. Kwantitatieve
Methoden, 23 (69), 1-26.(downloads: Oud2002.pdf)
Oud, J. H. L. (2001). Quasi-longitudinal designs in SEM state space modeling. Statistica
Neerlandica, 55, 200-220.
Oud, J. H. L., & Jansen, R. A. R. G. (2000). Continuous time state space modeling of
panel data by means of SEM. Psychometrika, 65, 199-215. (downloads: Oud&Jansen2000.zip)
Oud, J. H. L., Jansen, R. A. R. G., van Leeuwe, J.F.J., & Aarnoutse, C. A. J., &
Voeten, M. J. M. (1999). Monitoring pupil development by means of the Kalman filter and
smoother based upon SEM state space modeling. Learning and Individual Differences, 11,
121-136.
Oud, J. H. L., Jansen, R. A. R. G., & Haughton, D. M. A. (1999). Small samples in
structural equation state space modeling. In R. Hoyle (Ed.), Statistical strategies
for small sample research (pp. 288-305). Thousand Oakes: Sage.
Oud, J. H. L., & Jansen, R. A. R. G. (1996). Nonstationary longitudinal LISREL model
estimation from incomplete panel data using EM and the Kalman smoother. In U. Engel &
J. Reinecke (Eds.), Analysis of change: advanced techniques in panel data analysis
(pp. 135-159). Berlin: Walter de Gruyter.
Oud, J. H. L., & Jansen, R. A. R. G. (1995). An ARMA extension of the longitudinal
LISREL model for LISKAL. In I. Partchev (Ed.), Multivariate analysis in the behavioral
sciences: philosophic to technical (pp. 49-69). Sofia: "Prof. Marin Drinov"
Academic Publishing House.
Jansen, R. A. R. G., & Oud, J. H. L. (1995). Longitudinal LISREL model estimation from
incomplete panel data using the EM algorithm and the Kalman smoother. Statistica
Neerlandica, 49, 362-377.
Oud, J. H. L., van Leeuwe, J. F. J., & Jansen, R. A. R. G. (1993). Kalman filtering in
discrete and continuous time based on longitudinal LISREL models. In J. H. L. Oud & A.
W. van Blokland-Vogelesang (Eds.), Advances in longitudinal and multivariate analysis
in the behavioral sciences (pp. 3-26). Nijmegen: ITS.
Molenaar, J., & Oud, J. H. L. (1991). Optimality and initialisation of the Kalman
filter. Kwantitatieve Methoden, 12 (38), 45-52.
Oud, J. H., van den Bercken, J. H., & Essers, R. J. (1990). Longitudinal factor score
estimation using the Kalman filter. Applied Psychological Measurement, 14, 395-418.
Oud, J. H. L., & Molenaar, J. (1988). The Kalman filter as a factor score estimator
compared with the regression and Bartlett estimators. In M. G. H. Jansen & W. H. van
Schuur (Eds.), The many faces of multivariate analysis: Proceedings of the
SMABS-88 conference (pp. 210-223). Groningen: RION.
OTHER SUBJECTS
Gerris, J., Delsing, M. J. M. H. & Oud, J. H. L. (2010). Big-Five
personality factors and interpersonal trust in established marriages. Family Science,
1, 48-62.
Van Oort, F. G., Oud, J. H. L., & Raspe, O. (2009). The urban knowledge economy and
employment growth: A spatial structural equation modeling approach. The Annals of
Regional Science, 43, 859-877.
Landsheer, J. A., Oud, J. H. L., & van Dijkum C. (2008). Male and female development
of delinquency during adolescence and early adulthood: A differential autoregressive model
of delinquency using an overlapping cohort design. Adolescence, 43, 89-98.
Manders, W. A., Cook, W. L., Oud, J. H. L., Scholte, R. H. J., Janssens, J. M. A. M.,
& De Bruyn, E. E. J. (2007). Level validity of self-report whole-family measures. Journal
of Family Psychology, 21, 605-613.
Delsing, M. J. M. H., Oud, J. H. L., van Aken, M. A. G., De Bruyn, E.E.J., & Scholte,
R.H.J. (2005). Family loyalty and adolescent problem behavior: The validity of the family
group effect. Journal of Research on Adolescence, 15, 127-150.
Delsing, M. J. M. H., Oud, J. H. L., De Bruyn, E.E.J., & van Aken, M. A. G. (2003).
Current and recollected perceptions of family relationships: The social relations model
approach applied to members of three generations. Journal of Family Psychology, 17,
445-459.
Oud, H. & Stemerdink, G. (2002). Een leraar moet een combinatie zijn van een zendeling
en een toneelspeler: Prof. Dr. W. Molenaar benoemd tot erelid van de VVS. [A teacher
should be a combination of a missionary and an actor: Prof. Dr. W. Molenaar nominated
honorary member of the Netherlands Society for Statistics and Operations Research] . STAtOR,
3(1), 4-9.
Aarnoutse, C., van Leeuwe, J., Oud, H., Voeten, R., Manders, D., Hoffs, J., & van Kan,
N. (2000). Leer in zicht: het leerlingvolgsysteem dat voorspelt [Learning in
sight: the pupil monitoring system that predicts]. Lisse: Swets & Zeitlinger.
Oud, H. (2000). Statistiek leeft niet in het bestuurlijke circuit: Prof. Dr. W.R. van Zwet
benoemd tot erelid van de VVS [Statistics is not alive in government circles: Professor
van Zwet nominated honorary member of the Netherlands Society for Statistics and
Operations Research]. STAtOR, 1, 4-8.
Hendriks, A. H. C., de Moor, J. M. H., Oud, J. H. L., Franken, W. M. (2000). Service needs
of parents with motor or multiply disabled children in Dutch therapeutic toddler classes. Clinical
Rehabilitation, 14, 506-517.
Hendriks, A. H. C., de Moor, J. M. H., Oud, J. H. L., Savelberg, M. M. W. H., &
Bargeman, W. H. (2000). Sources and determinants of job stress among employees working in
therapeutic toddler classes in Dutch rehabilitation centres. International Journal of
Disability, Development, and Education, 47, 155-169.
Mathijssen, J. J. P., Koot, H. M., Verhulst, F.C., De Bruyn, E. E. J., & Oud, J. H. L.
(1998). The relationship between mutual family relations and child psychopathology.
Journal of Child Psychology and Psychiatry, 39, 477-487.
Mathijssen, J. J. P., Koot, H. M., Verhulst, F.C., De Bruyn, E. E. J., & Oud, J. H. L.
(1997). Family functioning and child psychopathology: individual versus composite family
scores. Family Relations: Interdisciplinary Journal of Applied Family Studies, 46,
247-255.
Haughton, D. M. A., Oud, J. H. L., & Jansen, R. A. R. G. (1997). Information and other
criteria in structural equation model selection. Communications in Statistics:
Simulation and Computation, 26, 1477-1516.
De Moor, J. M. H., van Waesberghe, B. T. M., & Oud, J. H. L. (1994). Effectiveness of
play training with handicapped toddlers. In J. Hellendoorn, R. van der Kooij, & B.
Sutton-Smith (Eds.), Play and intervention (pp. 144-156). Albany, NY: State
University of New York Press.
Oud, J. H. L., & Bijleveld, C. C. J. H. (1992). Analysis of longitudinal
time-dependent data in behavioral science: Dutch contributions. Statistica Applicata,
4, 719-734.
Mommers, M. J. C., & Oud, J. H. L. (1992). Modelling and predicting reading
difficulties. In L. T. Verhoeven & J. H. A. L. de Jong (Eds.), The construct of
language proficiency: Applications of psychological models to language assessment
(pp. 49-60). Amsterdam: Benjamins.
Dumont, J. J., Oud, J. H. L., van Mameren-Schoehuizen, G. G. M., Jacobs, M. J. M. I., van
Herpen, M. J., & van den Bekerom, F. L. M. (1990). Effectiveness of dyslexia
treatment. In G. Th. Pavlidis (Ed.), Perspectives on Dyslexia: Vol. 2 (pp.
293-326). New York: Wiley
Mommers, M. J. C., van Leeuwe, J. F. J., Oud, J. H. L., & Janssens, J. M. A. M.
(1986). Decoding skills, reading comprehension and spelling: A longitudinal investigation.
Tijdschrift voor Onderwijsresearch, 11, 97-113.
Oud, J. H. L., & Sattler, J. M. (1984). Generalized Kappa coefficient: A Microsoft
BASIC Program. Behavior Research Methods, Instruments and Computers, 16, 481.
CONSTRUCTION OF MONITORING SYSTEMS ON THE BASIS OF A
LONGITUDINAL SEM MODEL
Oud, J. H. L. (2010). Second-order stochastic differential
equation model as an alternative for the ALT and CALT models. Advances in Statistical
Analysis, 94, 202-215.
Oud, J. H. L., & Delsing, M. J. M. H. (2010). Continuous time modeling of panel data
by means of SEM. In K. van Montfort, J. Oud & A. Satorra (Eds.), Longitudinal
research with latent variables (pp. 201-244). New York: Springer.
Nijhuis-Van der Sanden, M. W. G., Oud, J. H. L., Van
der Sanden, W. A. M., & Oostendorp, R. A. B. (2005). Zorg in een nieuwe jas:
Transparant maar uitgekleed. Fysiopraxis, 14 (4), 12-15.
Oud, J.H. L. (2004b). Volgen in continue tijd en aan de
hand van geïndividualiseerde verwachte ontwikkelingscurven. In L. Verhoeven & M.
Voeten (Eds.), Onderwijskunde in theorie en praktijk: Bijdragen aangeboden aan Cor
Aarnoutse bij zijn afscheid als hoogleraar aan de Katholieke Universiteit Nijmegen
(pp. 188-206). Tilburg: Zwijsen.
Oud, J. H. L. (2004a). SEM state space modeling of
panel data in discrete and continuous time and its relationship to traditional state space
modeling. In K. van Montfort, J. Oud & A. Satorra (Eds.), Recent developments on
structural equations models: Theory and applications (pp. 13-40). Dordrecht: Kluwer
Academic Publishers.
Spee, J., & Oud, H. (2004). De groep als geheel
heeft zich wel in de gewenste richting ontwikkeld. Perspectief, 12(2), 21-22.
Oud, H., & Spee, J. (2002). Jeugdige delinquenten
volgen met het Kalman filter. STAtOR, 3(4), 14-18.
Aarnoutse, C., van Leeuwe, J., Oud, H., Voeten, R.,
Manders, D., Hoffs, J., & van Kan, N. (2000). Leer in zicht: het
leerlingvolgsysteem dat voorspelt [Learning in sight: the pupil monitoring system
that predicts]. Lisse: Swets & Zeitlinger.
Oud, J. H. L., & Jansen, R. A. R. G. (2000).
Continuous time state space modeling of panel data by means of SEM. Psychometrika,
65, 199-215.
Oud, J. H. L., Jansen, R. A. R. G., van Leeuwe, J.F.J.,
& Aarnoutse, C. A. J., & Voeten, M. J. M. (1999). Monitoring pupil development by
means of the Kalman filter and smoother based upon SEM state space modeling. Learning
and Individual Differences, 11, 121-136.
Oud, J. H., van den Bercken, J. H., & Essers, R. J.
(1990). Longitudinal factor score estimation using the Kalman filter. Applied
Psychological Measurement, 14, 395-418.
Oud, J. H. L., van Waesberghe, B. T. M., & Oud-de
Glas, M. M. B. (1999). Leerlingvolgsystemen [Pupil monitoring systems]. In M. L. Krüger,
H. P. M. Creemers, J. H. G. I. Giesbers, & C.A. van Vilsteren (Eds.), Handboek
schoolorganisatie en onderwijsmanagement: Leiding geven in onderwijs (2e aanvulling;
pp. 31-60). Alphen aan den Rijn: Samsom H.D. Tjeenk Willink. |
