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Items: 1 to 50 of 77

1.

VAR(1) based models do not always outpredict AR(1) models in typical psychological applications.

Bulteel K, Mestdagh M, Tuerlinckx F, Ceulemans E.

Psychol Methods. 2018 May 10. doi: 10.1037/met0000178. [Epub ahead of print]

PMID:
29745683
2.

Sidelining the mean: The relative variability index as a generic mean-corrected variability measure for bounded variables.

Mestdagh M, Pe M, Pestman W, Verdonck S, Kuppens P, Tuerlinckx F.

Psychol Methods. 2018 Apr 12. doi: 10.1037/met0000153. [Epub ahead of print]

PMID:
29648843
3.

Modeling Nonstationary Emotion Dynamics in Dyads using a Time-Varying Vector-Autoregressive Model.

Bringmann LF, Ferrer E, Hamaker EL, Borsboom D, Tuerlinckx F.

Multivariate Behav Res. 2018 May-Jun;53(3):293-314. doi: 10.1080/00273171.2018.1439722. Epub 2018 Mar 5.

PMID:
29505311
4.

Testing for the Presence of Correlation Changes in a Multivariate Time Series: A Permutation Based Approach.

Cabrieto J, Tuerlinckx F, Kuppens P, Hunyadi B, Ceulemans E.

Sci Rep. 2018 Jan 15;8(1):769. doi: 10.1038/s41598-017-19067-2.

5.

Biased pain reports through vicarious information: A computational approach to investigate the role of uncertainty.

Zaman J, Vanpaemel W, Aelbrecht C, Tuerlinckx F, Vlaeyen JWS.

Cognition. 2017 Dec;169:54-60. doi: 10.1016/j.cognition.2017.07.009. Epub 2017 Aug 18.

PMID:
28825990
6.

Sensitivity to the prototype in children with high-functioning autism spectrum disorder: An example of Bayesian cognitive psychometrics.

Voorspoels W, Rutten I, Bartlema A, Tuerlinckx F, Vanpaemel W.

Psychon Bull Rev. 2018 Feb;25(1):271-285. doi: 10.3758/s13423-017-1245-4.

PMID:
28290128
7.

Measuring depression over time . . . Or not? Lack of unidimensionality and longitudinal measurement invariance in four common rating scales of depression.

Fried EI, van Borkulo CD, Epskamp S, Schoevers RA, Tuerlinckx F, Borsboom D.

Psychol Assess. 2016 Nov;28(11):1354-1367. Epub 2016 Jan 28.

PMID:
26821198
8.

Clustering Vector Autoregressive Models: Capturing Qualitative Differences in Within-Person Dynamics.

Bulteel K, Tuerlinckx F, Brose A, Ceulemans E.

Front Psychol. 2016 Oct 7;7:1540. eCollection 2016.

9.

Increasing Transparency Through a Multiverse Analysis.

Steegen S, Tuerlinckx F, Gelman A, Vanpaemel W.

Perspect Psychol Sci. 2016 Sep;11(5):702-712.

PMID:
27694465
10.

Changing dynamics: Time-varying autoregressive models using generalized additive modeling.

Bringmann LF, Hamaker EL, Vigo DE, Aubert A, Borsboom D, Tuerlinckx F.

Psychol Methods. 2017 Sep;22(3):409-425. doi: 10.1037/met0000085. Epub 2016 Sep 26.

PMID:
27668421
11.

Using parameter space partitioning to evaluate a model's qualitative fit.

Steegen S, Tuerlinckx F, Vanpaemel W.

Psychon Bull Rev. 2017 Apr;24(2):617-631. doi: 10.3758/s13423-016-1123-5.

PMID:
27562764
12.

Analyzing subcomponents of affective dysregulation in borderline personality disorder in comparison to other clinical groups using multiple e-diary datasets.

Santangelo PS, Limberger MF, Stiglmayr C, Houben M, Coosemans J, Verleysen G, Kuppens P, Tuerlinckx F, Vanpaemel W, Ebner-Priemer UW.

Borderline Personal Disord Emot Dysregul. 2016 Jul 6;3:5. doi: 10.1186/s40479-016-0039-z. eCollection 2016.

13.

Detecting correlation changes in multivariate time series: A comparison of four non-parametric change point detection methods.

Cabrieto J, Tuerlinckx F, Kuppens P, Grassmann M, Ceulemans E.

Behav Res Methods. 2017 Jun;49(3):988-1005. doi: 10.3758/s13428-016-0754-9.

PMID:
27383753
14.

Assessing Temporal Emotion Dynamics Using Networks.

Bringmann LF, Pe ML, Vissers N, Ceulemans E, Borsboom D, Vanpaemel W, Tuerlinckx F, Kuppens P.

Assessment. 2016 Aug;23(4):425-435. doi: 10.1177/1073191116645909.

PMID:
27141038
15.

The Relation Between Valence and Arousal in Subjective Experience Varies With Personality and Culture.

Kuppens P, Tuerlinckx F, Yik M, Koval P, Coosemans J, Zeng KJ, Russell JA.

J Pers. 2017 Aug;85(4):530-542. doi: 10.1111/jopy.12258. Epub 2016 May 28.

PMID:
27102867
16.

Using Raw VAR Regression Coefficients to Build Networks can be Misleading.

Bulteel K, Tuerlinckx F, Brose A, Ceulemans E.

Multivariate Behav Res. 2016 Mar-Jun;51(2-3):330-44. doi: 10.1080/00273171.2016.1150151. Epub 2016 Mar 30.

PMID:
27028486
17.

Network analysis of substance abuse and dependence symptoms.

Rhemtulla M, Fried EI, Aggen SH, Tuerlinckx F, Kendler KS, Borsboom D.

Drug Alcohol Depend. 2016 Apr 1;161:230-7. doi: 10.1016/j.drugalcdep.2016.02.005. Epub 2016 Feb 6.

18.

Bayesian Data Analysis with the Bivariate Hierarchical Ornstein-Uhlenbeck Process Model.

Oravecz Z, Tuerlinckx F, Vandekerckhove J.

Multivariate Behav Res. 2016;51(1):106-19. doi: 10.1080/00273171.2015.1110512.

19.

Factoring out nondecision time in choice reaction time data: Theory and implications.

Verdonck S, Tuerlinckx F.

Psychol Rev. 2016 Mar;123(2):208-18. doi: 10.1037/rev0000019. Epub 2015 Dec 7.

PMID:
26641558
20.

A Bivariate Generalized Linear Item Response Theory Modeling Framework to the Analysis of Responses and Response Times.

Molenaar D, Tuerlinckx F, van der Maas HL.

Multivariate Behav Res. 2015;50(1):56-74. doi: 10.1080/00273171.2014.962684.

PMID:
26609743
21.

Fingerprint resampling: A generic method for efficient resampling.

Mestdagh M, Verdonck S, Duisters K, Tuerlinckx F.

Sci Rep. 2015 Nov 24;5:16970. doi: 10.1038/srep16970.

22.

What are 'good' depression symptoms? Comparing the centrality of DSM and non-DSM symptoms of depression in a network analysis.

Fried EI, Epskamp S, Nesse RM, Tuerlinckx F, Borsboom D.

J Affect Disord. 2016 Jan 1;189:314-20. doi: 10.1016/j.jad.2015.09.005. Epub 2015 Oct 1.

PMID:
26458184
23.

Erratum to: Efficient simulation of diffusion-based choice RT models on CPU and GPU.

Verdonck S, Meers K, Tuerlinckx F.

Behav Res Methods. 2016 Mar;48(1):28. doi: 10.3758/s13428-015-0645-5. No abstract available.

PMID:
26424439
24.

Commentary: "Consistent Superiority of Selective Serotonin Reuptake Inhibitors Over Placebo in Reducing Depressed Mood in Patients with Major Depression".

Fried EI, Boschloo L, van Borkulo CD, Schoevers RA, Romeijn JW, Wichers M, de Jonge P, Nesse RM, Tuerlinckx F, Borsboom D.

Front Psychiatry. 2015 Aug 21;6:117. doi: 10.3389/fpsyt.2015.00117. eCollection 2015. No abstract available.

25.

Erratum to: On the Unidentifiability of the Fixed-Effects 3PL Model.

San Martín E, González J, Tuerlinckx F.

Psychometrika. 2015 Dec;80(4):1146. doi: 10.1007/s11336-015-9470-0.

PMID:
26232045
26.

Corrigendum: Measuring the crowd within again: a pre-registered replication study.

Steegen S, Dewitte L, Tuerlinckx F, Vanpaemel W.

Front Psychol. 2015 Mar 12;6:238. doi: 10.3389/fpsyg.2015.00238. eCollection 2015.

27.

Efficient simulation of diffusion-based choice RT models on CPU and GPU.

Verdonck S, Meers K, Tuerlinckx F.

Behav Res Methods. 2016 Mar;48(1):13-27. doi: 10.3758/s13428-015-0569-0. Erratum in: Behav Res Methods. 2016 Mar;48(1):28.

PMID:
25761391
28.

From loss to loneliness: The relationship between bereavement and depressive symptoms.

Fried EI, Bockting C, Arjadi R, Borsboom D, Amshoff M, Cramer AO, Epskamp S, Tuerlinckx F, Carr D, Stroebe M.

J Abnorm Psychol. 2015 May;124(2):256-65. doi: 10.1037/abn0000028. Epub 2015 Mar 2.

PMID:
25730514
29.

Unraveling affective dysregulation in borderline personality disorder: a theoretical model and empirical evidence.

Ebner-Priemer UW, Houben M, Santangelo P, Kleindienst N, Tuerlinckx F, Oravecz Z, Verleysen G, Van Deun K, Bohus M, Kuppens P.

J Abnorm Psychol. 2015 Feb;124(1):186-98. doi: 10.1037/abn0000021. Epub 2015 Jan 19. Review.

PMID:
25603359
30.

Revealing the dynamic network structure of the Beck Depression Inventory-II.

Bringmann LF, Lemmens LH, Huibers MJ, Borsboom D, Tuerlinckx F.

Psychol Med. 2015 Mar;45(4):747-57. doi: 10.1017/S0033291714001809. Epub 2014 Sep 5.

PMID:
25191855
31.

Measuring the crowd within again: a pre-registered replication study.

Steegen S, Dewitte L, Tuerlinckx F, Vanpaemel W.

Front Psychol. 2014 Jul 28;5:786. doi: 10.3389/fpsyg.2014.00786. eCollection 2014. Erratum in: Front Psychol. 2015;6:238.

32.

A generalized linear factor model approach to the hierarchical framework for responses and response times.

Molenaar D, Tuerlinckx F, van der Maas HL.

Br J Math Stat Psychol. 2015 May;68(2):197-219. doi: 10.1111/bmsp.12042. Epub 2014 Aug 11.

PMID:
25109494
33.

Influence of prior information on pain involves biased perceptual decision-making.

Wiech K, Vandekerckhove J, Zaman J, Tuerlinckx F, Vlaeyen JW, Tracey I.

Curr Biol. 2014 Aug 4;24(15):R679-81. doi: 10.1016/j.cub.2014.06.022.

34.

The Ising Decision Maker: a binary stochastic network for choice response time.

Verdonck S, Tuerlinckx F.

Psychol Rev. 2014 Jul;121(3):422-62. doi: 10.1037/a0037012. Erratum in: Psychol Rev. 2015 Jan;122(1):112-4.

PMID:
25090426
35.

Paradoxes of optimal decision making: a response to Moran (2014).

van Ravenzwaaij D, Mulder MJ, Tuerlinckx F, Wagenmakers EJ.

Psychon Bull Rev. 2015 Feb;22(1):307-8. doi: 10.3758/s13423-014-0679-1. Epub 2014 Jul 8. No abstract available.

PMID:
25002251
36.

Mental health: More than neurobiology.

Fried E, Tuerlinckx F, Borsboom D.

Nature. 2014 Apr 24;508(7497):458. doi: 10.1038/508458c. No abstract available.

PMID:
24759405
37.

Reply to Bos and De Jonge: Between-subject data do provide first empirical support for critical slowing down in depression.

Wichers M, Borsboom D, Tuerlinckx F, Kuppens P, Viechtbauer W, van de Leemput IA, Kendler KS, Scheffer M.

Proc Natl Acad Sci U S A. 2014 Mar 11;111(10):E879. No abstract available.

38.

On the Unidentifiability of the Fixed-Effects 3PL Model.

San Martín E, González J, Tuerlinckx F.

Psychometrika. 2015 Jun;80(2):450-67. doi: 10.1007/s11336-014-9404-2. Epub 2014 Jan 31. Erratum in: Psychometrika. 2015 Dec;80(4):1146.

PMID:
24482314
39.

Critical slowing down as early warning for the onset and termination of depression.

van de Leemput IA, Wichers M, Cramer AO, Borsboom D, Tuerlinckx F, Kuppens P, van Nes EH, Viechtbauer W, Giltay EJ, Aggen SH, Derom C, Jacobs N, Kendler KS, van der Maas HL, Neale MC, Peeters F, Thiery E, Zachar P, Scheffer M.

Proc Natl Acad Sci U S A. 2014 Jan 7;111(1):87-92. doi: 10.1073/pnas.1312114110. Epub 2013 Dec 9.

40.

Affective instability in daily life is predicted by resting heart rate variability.

Koval P, Ogrinz B, Kuppens P, Van den Bergh O, Tuerlinckx F, Sütterlin S.

PLoS One. 2013 Nov 29;8(11):e81536. doi: 10.1371/journal.pone.0081536. eCollection 2013.

41.

Circadian rhythm of autonomic cardiovascular control during Mars500 simulated mission to Mars.

Vigo DE, Tuerlinckx F, Ogrinz B, Wan L, Simonelli G, Bersenev E, Van Den Bergh O, Aubert AE.

Aviat Space Environ Med. 2013 Oct;84(10):1023-8.

PMID:
24261053
42.

DeCon: a tool to detect emotional concordance in multivariate time series data of emotional responding.

Bulteel K, Ceulemans E, Thompson RJ, Waugh CE, Gotlib IH, Tuerlinckx F, Kuppens P.

Biol Psychol. 2014 Apr;98:29-42. doi: 10.1016/j.biopsycho.2013.10.011. Epub 2013 Nov 9.

43.

Contextualized Personality Questionnaires: A Case for Copulas in Structural Equation Models for Categorical Data.

Braeken J, Kuppens P, De Boeck P, Tuerlinckx F.

Multivariate Behav Res. 2013 Nov;48(6):845-70. doi: 10.1080/00273171.2013.827965.

PMID:
26745596
44.

A network approach to psychopathology: new insights into clinical longitudinal data.

Bringmann LF, Vissers N, Wichers M, Geschwind N, Kuppens P, Peeters F, Borsboom D, Tuerlinckx F.

PLoS One. 2013 Apr 4;8(4):e60188. doi: 10.1371/journal.pone.0060188. Print 2013. Erratum in: PLoS One. 2014;9(4):e96588.

45.

CHull as an alternative to AIC and BIC in the context of mixtures of factor analyzers.

Bulteel K, Wilderjans TF, Tuerlinckx F, Ceulemans E.

Behav Res Methods. 2013 Sep;45(3):782-91. doi: 10.3758/s13428-012-0293-y.

PMID:
23307573
46.

The relation between valence and arousal in subjective experience.

Kuppens P, Tuerlinckx F, Russell JA, Barrett LF.

Psychol Bull. 2013 Jul;139(4):917-40. doi: 10.1037/a0030811. Epub 2012 Dec 10. Review.

PMID:
23231533
47.

The Dynamic Interplay between Appraisal and Core Affect in Daily Life.

Kuppens P, Champagne D, Tuerlinckx F.

Front Psychol. 2012 Oct 8;3:380. doi: 10.3389/fpsyg.2012.00380. eCollection 2012.

48.

Do the dynamics of prior information depend on task context? An analysis of optimal performance and an empirical test.

van Ravenzwaaij D, Mulder MJ, Tuerlinckx F, Wagenmakers EJ.

Front Psychol. 2012 May 29;3:132. doi: 10.3389/fpsyg.2012.00132. eCollection 2012.

49.

Sleep-wake differences in heart rate variability during a 105-day simulated mission to Mars.

Vigo DE, Ogrinz B, Wan L, Bersenev E, Tuerlinckx F, Van Den Bergh O, Aubert AE.

Aviat Space Environ Med. 2012 Feb;83(2):125-30.

PMID:
22303591
50.

A hierarchical latent stochastic differential equation model for affective dynamics.

Oravecz Z, Tuerlinckx F, Vandekerckhove J.

Psychol Methods. 2011 Dec;16(4):468-90. doi: 10.1037/a0024375. Epub 2011 Aug 8.

PMID:
21823796

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