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Your search keyword '"Adolf, Janne K."' showing total 12 results
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12 results on '"Adolf, Janne K."'

1. One Does Not Simply Correct for Serial Dependence.

Author

Ariens, Sigert, Adolf, Janne K., and Ceulemans, Eva

Subjects
*TIME series analysis, *PSYCHOLOGICAL research, *LIKELIHOOD ratio tests
Abstract

Serial dependence is present in most time series data sets collected in psychological research. This paper investigates the implications of various approaches for handling such serial dependence, when one is interested in the linear effect of a time-varying covariate on the time-varying criterion. Specifically, the serial dependence is either neglected, corrected for by specifying autocorrelated residuals, or modeled by including a lagged version of the criterion as an additional predictor. Using both empirical and simulated data, we showcase that the obtained results depend considerably on which approach is selected. We discuss how these differences can be explained by understanding the restrictions imposed under the various approaches. Based on the insight that all three approaches are restricted versions of an autoregressive distributed lag model, we demonstrate that accessible statistical tools, such as information criteria and likelihood-ratio tests can be used to justify a chosen approach empirically. [ABSTRACT FROM AUTHOR]

Published
2023
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2. Collinearity Issues in Autoregressive Models with Time-Varying Serially Dependent Covariates.

Author

Ariens, Sigert, Adolf, Janne K., and Ceulemans, Eva

Subjects
*AUTOREGRESSIVE models, *TIME series analysis, *MULTICOLLINEARITY, *TIME management
Abstract

First-order autoregressive models are popular to assess the temporal dynamics of a univariate process. Researchers often extend these models to include time-varying covariates, such as contextual factors, to investigate how they moderate processes' dynamics. We demonstrate that doing so has implications for how well one can estimate the autoregressive and covariate effects, as serial dependence in the variables can imply predictor collinearity. This is a noteworthy contribution, since in current practice serial dependence in a time-varying covariate is rarely considered important. We first recapitulate the role of predictor collinearity for estimation precision in an ordinary least squares context, by discussing how it affects estimator variances, covariances and correlations. We then derive a general formula detailing how predictor collinearity in first-order autoregressive models is impacted by serial dependence in the covariate. We provide a simulation study to illustrate the implications of the formula for different types of covariates. The simulation results highlight when the collinearity issue becomes severe enough to hamper interpretation of the effects. We also show that the effect estimates can be biased in small samples (i.e., 50 time points). Implications for study design, the use of time as a predictor, and related model variants are discussed. [ABSTRACT FROM AUTHOR]

Published
2023
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5. sj-pdf-1-spr-10.1177_02654075221080128 ��� Supplemental Material for PowerLAPIM: An application to conduct power analysis for linear and quadratic longitudinal actor���partner interdependence models in intensive longitudinal dyadic designs

Author

Lafit, Ginette, Sels, Laura, Adolf, Janne K., Loeys, Tom, and Ceulemans, Eva

Subjects
200199 Communication and Media Studies not elsewhere classified, FOS: Media and communications, FOS: Psychology, 170199 Psychology not elsewhere classified
Abstract

Supplemental Material, sj-pdf-1-spr-10.1177_02654075221080128 for PowerLAPIM: An application to conduct power analysis for linear and quadratic longitudinal actor���partner interdependence models in intensive longitudinal dyadic designs by Ginette Lafit, Laura Sels, Janne K. Adolf, Tom Loeys and Eva Ceulemans in Journal of Social and Personal Relationships

Published
2022
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6. sj-pdf-7-spr-10.1177_02654075221080128 ��� Supplemental Material for PowerLAPIM: An application to conduct power analysis for linear and quadratic longitudinal actor���partner interdependence models in intensive longitudinal dyadic designs

Author

Lafit, Ginette, Sels, Laura, Adolf, Janne K., Loeys, Tom, and Ceulemans, Eva

Subjects
200199 Communication and Media Studies not elsewhere classified, FOS: Media and communications, FOS: Psychology, 170199 Psychology not elsewhere classified
Abstract

Supplemental Material, sj-pdf-7-spr-10.1177_02654075221080128 for PowerLAPIM: An application to conduct power analysis for linear and quadratic longitudinal actor���partner interdependence models in intensive longitudinal dyadic designs by Ginette Lafit, Laura Sels, Janne K. Adolf, Tom Loeys and Eva Ceulemans in Journal of Social and Personal Relationships

Published
2022
Full Text
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7. sj-pdf-4-spr-10.1177_02654075221080128 ��� Supplemental Material for PowerLAPIM: An application to conduct power analysis for linear and quadratic longitudinal actor���partner interdependence models in intensive longitudinal dyadic designs

Author

Lafit, Ginette, Sels, Laura, Adolf, Janne K., Loeys, Tom, and Ceulemans, Eva

Subjects
200199 Communication and Media Studies not elsewhere classified, FOS: Media and communications, FOS: Psychology, 170199 Psychology not elsewhere classified
Abstract

Supplemental Material, sj-pdf-4-spr-10.1177_02654075221080128 for PowerLAPIM: An application to conduct power analysis for linear and quadratic longitudinal actor���partner interdependence models in intensive longitudinal dyadic designs by Ginette Lafit, Laura Sels, Janne K. Adolf, Tom Loeys and Eva Ceulemans in Journal of Social and Personal Relationships

Published
2022
Full Text
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8. sj-pdf-2-spr-10.1177_02654075221080128 ��� Supplemental Material for PowerLAPIM: An application to conduct power analysis for linear and quadratic longitudinal actor���partner interdependence models in intensive longitudinal dyadic designs

Author

Lafit, Ginette, Sels, Laura, Adolf, Janne K., Loeys, Tom, and Ceulemans, Eva

Subjects
200199 Communication and Media Studies not elsewhere classified, FOS: Media and communications, FOS: Psychology, 170199 Psychology not elsewhere classified
Abstract

Supplemental Material, sj-pdf-2-spr-10.1177_02654075221080128 for PowerLAPIM: An application to conduct power analysis for linear and quadratic longitudinal actor���partner interdependence models in intensive longitudinal dyadic designs by Ginette Lafit, Laura Sels, Janne K. Adolf, Tom Loeys and Eva Ceulemans in Journal of Social and Personal Relationships

Published
2022
Full Text
View/download PDF

9. sj-pdf-6-spr-10.1177_02654075221080128 ��� Supplemental Material for PowerLAPIM: An application to conduct power analysis for linear and quadratic longitudinal actor���partner interdependence models in intensive longitudinal dyadic designs

Author

Lafit, Ginette, Sels, Laura, Adolf, Janne K., Loeys, Tom, and Ceulemans, Eva

Subjects
200199 Communication and Media Studies not elsewhere classified, FOS: Media and communications, FOS: Psychology, 170199 Psychology not elsewhere classified
Abstract

Supplemental Material, sj-pdf-6-spr-10.1177_02654075221080128 for PowerLAPIM: An application to conduct power analysis for linear and quadratic longitudinal actor���partner interdependence models in intensive longitudinal dyadic designs by Ginette Lafit, Laura Sels, Janne K. Adolf, Tom Loeys and Eva Ceulemans in Journal of Social and Personal Relationships

Published
2022
Full Text
View/download PDF

10. sj-pdf-3-spr-10.1177_02654075221080128 ��� Supplemental Material for PowerLAPIM: An application to conduct power analysis for linear and quadratic longitudinal actor���partner interdependence models in intensive longitudinal dyadic designs

Author

Lafit, Ginette, Sels, Laura, Adolf, Janne K., Loeys, Tom, and Ceulemans, Eva

Subjects
200199 Communication and Media Studies not elsewhere classified, FOS: Media and communications, FOS: Psychology, 170199 Psychology not elsewhere classified
Abstract

Supplemental Material, sj-pdf-3-spr-10.1177_02654075221080128 for PowerLAPIM: An application to conduct power analysis for linear and quadratic longitudinal actor���partner interdependence models in intensive longitudinal dyadic designs by Ginette Lafit, Laura Sels, Janne K. Adolf, Tom Loeys and Eva Ceulemans in Journal of Social and Personal Relationships

Published
2022
Full Text
View/download PDF

11. sj-pdf-5-spr-10.1177_02654075221080128 ��� Supplemental Material for PowerLAPIM: An application to conduct power analysis for linear and quadratic longitudinal actor���partner interdependence models in intensive longitudinal dyadic designs

Author

Lafit, Ginette, Sels, Laura, Adolf, Janne K., Loeys, Tom, and Ceulemans, Eva

Subjects
200199 Communication and Media Studies not elsewhere classified, FOS: Media and communications, FOS: Psychology, 170199 Psychology not elsewhere classified
Abstract

Supplemental Material, sj-pdf-5-spr-10.1177_02654075221080128 for PowerLAPIM: An application to conduct power analysis for linear and quadratic longitudinal actor���partner interdependence models in intensive longitudinal dyadic designs by Ginette Lafit, Laura Sels, Janne K. Adolf, Tom Loeys and Eva Ceulemans in Journal of Social and Personal Relationships

Published
2022
Full Text
View/download PDF

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