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Jonas M B Haslbeck

Showing results (1-10 of 42) with videos related to

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Behavior Research Methods|July 22, 2021
Estimating group differences in network models using moderation analysisJonas M B Haslbeck
Multivariate Behavioral Research|June 22, 2021
Recovering Within-Person Dynamics from Psychological Time SeriesJonas M B Haslbeck, Oisín Ryan
Computational Statistics|October 22, 2020
Estimating the number of clusters via a corrected clustering instabilityJonas M B Haslbeck, Dirk U Wulff
Psychological Methods|November 3, 2022
Estimating the number of factors in exploratory factor analysis via out-of-sample prediction errorsJonas M B Haslbeck, Riet van Bork
Behavior Research Methods|July 19, 2017
How well do network models predict observations? On the importance of predictability in network modelsJonas M B Haslbeck, Lourens J Waldorp
Behavior Research Methods|December 26, 2025
Modeling qualitative between-person heterogeneity in time series using latent class vector autoregressive modelsAnja F Ernst, Jonas M B Haslbeck
Plos One|October 29, 2020
Choosing between AR(1) and VAR(1) models in typical psychological applicationsFabian Dablander, Oisín Ryan, Jonas M B Haslbeck
Psychological Methods|December 16, 2021
The sum of all fears: Comparing networks based on symptom sum-scoresJonas M B Haslbeck, Oisín Ryan, Fabian Dablander
Quarterly Journal of Experimental Psychology (2006)|October 9, 2015
Temporal dynamics of number-space interaction in line bisection: Comment on Cleland and Bull (2015)Jonas M B Haslbeck, Guilherme Wood, Matthias Witte
Psychological Review|March 27, 2025
Toward a generative model for emotion dynamicsOisín Ryan, Fabian Dablander, Jonas M B Haslbeck
Pageof 5

Showing results (1-10 of 42) with videos related to

Sort By:
Pageof 5
Behavior Research Methods|July 22, 2021
Estimating group differences in network models using moderation analysisJonas M B Haslbeck
Multivariate Behavioral Research|June 22, 2021
Recovering Within-Person Dynamics from Psychological Time SeriesJonas M B Haslbeck, Oisín Ryan
Computational Statistics|October 22, 2020
Estimating the number of clusters via a corrected clustering instabilityJonas M B Haslbeck, Dirk U Wulff
Psychological Methods|November 3, 2022
Estimating the number of factors in exploratory factor analysis via out-of-sample prediction errorsJonas M B Haslbeck, Riet van Bork
Behavior Research Methods|July 19, 2017
How well do network models predict observations? On the importance of predictability in network modelsJonas M B Haslbeck, Lourens J Waldorp
Behavior Research Methods|December 26, 2025
Modeling qualitative between-person heterogeneity in time series using latent class vector autoregressive modelsAnja F Ernst, Jonas M B Haslbeck
Plos One|October 29, 2020
Choosing between AR(1) and VAR(1) models in typical psychological applicationsFabian Dablander, Oisín Ryan, Jonas M B Haslbeck
Psychological Methods|December 16, 2021
The sum of all fears: Comparing networks based on symptom sum-scoresJonas M B Haslbeck, Oisín Ryan, Fabian Dablander
Quarterly Journal of Experimental Psychology (2006)|October 9, 2015
Temporal dynamics of number-space interaction in line bisection: Comment on Cleland and Bull (2015)Jonas M B Haslbeck, Guilherme Wood, Matthias Witte
Psychological Review|March 27, 2025
Toward a generative model for emotion dynamicsOisín Ryan, Fabian Dablander, Jonas M B Haslbeck
Pageof 5