Search Results - "Oud, Johan H. L"

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  1. 1

    An SEM Approach to Continuous Time Modeling of Panel Data: Relating Authoritarianism and Anomia by Voelkle, Manuel C, Oud, Johan H. L, Davidov, Eldad, Schmidt, Peter

    Published in Psychological methods (01-06-2012)
    “…Panel studies, in which the same subjects are repeatedly observed at multiple time points, are among the most popular longitudinal designs in psychology…”
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  2. 2

    Unpacking Self-Rated Health and Quality of Life in Older Adults and Elderly in India: A Structural Equation Modelling Approach by Hirve, Siddhivinayak, Oud, Johan H. L., Sambhudas, Somnath, Juvekar, Sanjay, Blomstedt, Yulia, Tollman, Stephen, Wall, Stig, Ng, Nawi

    Published in Social indicators research (01-05-2014)
    “…The Study on global AGEing and adult health (SAGE) aims at improving empirical understanding of the health and well-being of older adults in low- and…”
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  3. 3

    Hedonic price models with omitted variables and measurement errors: a constrained autoregression–structural equation modeling approach with application to urban Indonesia by Suparman, Yusep, Folmer, Henk, Oud, Johan H. L.

    Published in Journal of geographical systems (2014)
    “…Omitted variables and measurement errors in explanatory variables frequently occur in hedonic price models. Ignoring these problems leads to biased estimators…”
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  4. 4

    Continuous time modelling with individually varying time intervals for oscillating and non-oscillating processes by Voelkle, Manuel C., Oud, Johan H. L.

    “…When designing longitudinal studies, researchers often aim at equal intervals. In practice, however, this goal is hardly ever met, with different time…”
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  5. 5

    The urban knowledge economy and employment growth: a spatial structural equation modeling approach by van Oort, Frank G., Oud, Johan H. L., Raspe, Otto

    Published in The Annals of regional science (01-12-2009)
    “…Many European governments have been stimulating their urban economies by focusing on knowledge economy potentials of metropolitan regions, especially R&D-based…”
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  6. 6

    SEM Based CARMA Time Series Modeling for Arbitrary N by Oud, Johan H.L., Voelkle, Manuel C., Driver, Charles C.

    Published in Multivariate behavioral research (01-01-2018)
    “…This article explains in detail the state space specification and estimation of first and higher-order autoregressive moving-average models in continuous time…”
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  7. 7

    Do missing values exist? Incomplete data handling in cross-national longitudinal studies by means of continuous time modeling by Oud, Johan H. L., Voelkle, Manuel C.

    Published in Quality & quantity (01-11-2014)
    “…In cross-national longitudinal studies it is often impossible to administer the same measurement instruments at the same occasions to all sample units in all…”
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  8. 8

    W-based versus latent variables spatial autoregressive models: evidence from Monte Carlo simulations by Liu, An, Folmer, Henk, Oud, Johan H. L.

    Published in The Annals of regional science (01-12-2011)
    “…In this paper, we compare by means of Monte Carlo simulations two approaches to take spatial autocorrelation into account: the classical spatial autoregressive…”
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  9. 9

    The willingness to pay for in-house piped water in urban and rural Indonesia by Suparman, Yusep, Folmer, Henk, Oud, Johan H.L.

    Published in Papers in regional science (01-06-2016)
    “…This paper analyses household preferences for in‐house piped water in urban and rural Indonesia via a hedonic price model, specified as a constrained…”
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  10. 10

    Maximum Likelihood Dynamic Factor Modeling for Arbitrary N and T Using SEM by Voelkle, Manuel C., Oud, Johan H. L., von Oertzen, Timo, Lindenberger, Ulman

    Published in Structural equation modeling (20-07-2012)
    “…This article has 3 objectives that build on each other. First, we demonstrate how to obtain maximum likelihood estimates for dynamic factor models (the direct…”
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  11. 11

    Continuous Time Structural Equation Modeling with R Package ctsem by Driver, Charles C., Oud, Johan H. L., Voelkle, Manuel C.

    Published in Journal of statistical software (01-04-2017)
    “…We introduce ctsem, an R package for continuous time structural equation modeling of panel (N > 1) and time series (N = 1) data, using full information maximum…”
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  12. 12

    Reply to Steele & Ferrer: Modeling Oscillation, Approximately or Exactly? by Oud, Johan H. L., Folmer, Henk

    Published in Multivariate behavioral research (30-11-2011)
    “…This article addresses modeling oscillation in continuous time. It criticizes Steele and Ferrer's article "Latent Differential Equation Modeling of…”
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  13. 13

    Level Validity of Self-Report Whole-Family Measures by Manders, Willeke A, Cook, William L, Oud, Johan H. L, Scholte, Ron H. J, Janssens, Jan M. A. M, De Bruyn, Eric E. J

    Published in Journal of family psychology (01-12-2007)
    “…This article introduces an approach to testing the level validity of family assessment instruments (i.e., whether a family instrument measures family…”
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  14. 14

    Development and Validation of the Computerized Family Relations Test for Children by Skoczń, Ilona, Cieciuch, Jan, Oud, Johan H L, Welzen, Kai

    Published in Frontiers in psychology (2015)
    “…The aim of the present study was to develop and investigate the psychometric properties of the Computerized Family Relations Test (CFRT) for children. This…”
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  15. 15

    Current and Recollected Perceptions of Family Relationships: The Social Relations Model Approach Applied to Members of Three Generations by Delsing, Marc J. M. H, Oud, Johan H. L, De Bruyn, Eric E. J, van Aken, Marcel A. G

    Published in Journal of family psychology (01-12-2003)
    “…Data from 81 three-generation families (comprising 567 participants) were analyzed to assess perceptions of current-family and family-of-origin relationships…”
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  16. 16

    Continuous time modeling of panel data: SEM versus filter techniques by Oud, Johan H. L., Singer, Hermann

    Published in Statistica Neerlandica (01-02-2008)
    “…Although convincing arguments have been put forward for continuous‐time modeling, its use in panel research is rare. In one approach, classical N = 1…”
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  17. 17

    Perceptions of Problem Behavior in Adolescents’ Families: Perceiver, Target, and Family Effects by Manders, Willeke A., Janssens, Jan M. A. M., Cook, William L., Oud, Johan H. L., De Bruyn, Eric E. J., Scholte, Ron H. J.

    Published in Journal of youth and adolescence (01-11-2009)
    “…Considerable research has focused on the reliability and validity of informant reports of family behavior, especially maternal reports of adolescent problem…”
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  18. 18

    Relating Latent Change Score and Continuous Time Models by Voelkle, Manuel C., Oud, Johan H. L.

    Published in Structural equation modeling (03-07-2015)
    “…The primary goal of this article is to demonstrate the close relationship between 2 classes of dynamic models in psychological research: latent change score…”
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  19. 19

    Where Have the Persons Gone? - An Illustration of Individual Score Methods in Autoregressive Panel Models by Hardt, Katinka, Hecht, Martin, Oud, Johan H. L., Voelkle, Manuel C.

    Published in Structural equation modeling (04-03-2019)
    “…Much effort has been made to develop models for longitudinal data analysis, but comparably less attention has been paid to the use of individual specific…”
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  20. 20

    Analyzing reciprocal relationships by means of the continuous-time autoregressive latent trajectory model by Delsing, Marc J. M. H., Oud, Johan H. L.

    Published in Statistica Neerlandica (01-02-2008)
    “…Over the past decades, several analytic tools have become available for the analysis of reciprocal relations in a non‐experimental context using structural…”
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